I enjoy reading books by the historian Thomas Cahill. Instead of recording history as a series of catastrophes, he focuses on “hinges of history” — singular events that change the world forever.

For the first time in my life, I might be watching a hinge of history right before my eyes, and I pray that I’m wrong.

There was one small event that happened last week that will quickly fade from the headlines. But it might just twist the future of humanity. A hinge of history … and it’s no surprise that it involves the most powerful force of our time: AI

The tipping point for AI

As you probably read in the news last week, Anthropic was tossed out of the U.S. government supply chain and a $200 million contract because it would not back down on its strong position on AI safety guardrails.

President Trump weighed in on the fight, posting on social media that he would “NEVER ALLOW A RADICAL LEFT, WOKE COMPANY TO DICTATE HOW OUR GREAT MILITARY FIGHTS AND WINS WARS!”

That decision, he said, “belongs to YOUR COMMANDER-IN-CHIEF, and the tremendous leaders I appoint to run our Military.”

Anthropic had asked for two things. The company was willing to loosen its restrictions on the technology, but wanted guardrails to stop its A.I. from being used for mass surveillance of Americans or deployed in autonomous weapons with no humans in the decision loop.

Defense Department officials said Anthropic needed to fully trust the Pentagon to use the technology responsibly and relinquish control.

“We cannot in good conscience accede to their request,” Anthropic Chief Executive Dario Amodei said. “Threats do not change our position.” Anthropic was prepared to lose its government contract and help the Pentagon transition to another company’s technology, he said.

During the negotiations, OpenAI CEO Sam Altman said he backed Anthropic, which was founded by former OpenAI employees. “For all the differences I have with Anthropic, I mostly trust them as a company, and I think they really do care about safety,” he said.

Then, within 10 hours of that statement, he struck his own deal with the Department of Defense.

OpenAI agreed to let the Pentagon use its A.I. systems for any lawful purpose and said it had found a way to ensure that its technologies would not be applied for surveillance (in the United States) or autonomous weapons. Tech observers argued that OpenAI’s deal left the possibility of surveillance open.

In a tweet two days later, Altman admitted that the negotiation was rushed, sloppy, and opportunistic. He said he was trying to amend contract language.

The AI-driven war?

This turn of events seemed predestined. Nine months ago, the administration issued an executive order on “woke AI,” stating that the government had an “obligation not to procure models that sacrifice truthfulness and accuracy to ideological agendas.” Anthropic was widely seen as a target of the order.

And last year, OpenAI President Greg Brockman gave $25 million to a pro-Trump political action committee. He is spending millions more to advance Trump’s AI agenda in the midterm elections.

Not only did Anthropic lose a $200 million contract, but the administration also announced that the company would be designated a supply chain risk, prohibiting any business working with the military from engaging in “any commercial activity with Anthropic.”

The label would make Anthropic the first U.S. company ever to publicly receive such treatment.

“This is a dark day in the history of American AI. The message sent to the business community and to countries around the world could not be worse,” said Dean Ball, a former Trump administration AI adviser. (WSJ)

Professor Seyedali Mirjalili, founder of the Centre for Artificial Intelligence Research and Optimization, wrote:

“I am more concerned humans will use AI to destroy civilisation than AI doing so autonomously by taking over. The clearest existential pathway is militarisation and pervasive surveillance. This risk grows if we fail to balance innovation with regulation and don’t build sufficient, globally enforced guardrails to keep systems out of bad actors’ hands.

“Integrating AI into future weapons would reduce human control and lead to an arms race. If mismanaged, binding AI to national security even risks an AI-driven world war.”

AI will be weaponized

There are legitimate reasons to weaponize AI. Our safety requires that we have a “big stick” and in modern warfare, that means AI.

Today, the official doctrine across Western militaries is “human in the loop” — AI recommends, humans authorize. But there’s tension: If AI-enabled warfare operates at machine speed, human-in-the-loop oversight can’t keep pace with events, effectively turning human oversight into rubber-stamping.

Faster decision cycles reduce the time available for human deliberation and impair commanders’ ability to comprehend the rationale behind AI outputs. This increases the possibility of error, escalation, or miscalculation, especially under stress.

And eventually, AI will likely propose rapid strategies that appear alien to commanders, even counterintuitive.

So you can see that the argument for AI autonomy and loose guardrails will not go away.

AI safety in peril

Nearly every AI insider has warned of the serious existential threat to humanity if unregulated AI “gets loose.”

Even the most responsible AI safety testing reveals how risky AI can be.

Here’s one example. Anthropic publishes a public safety report on each of its models, and the latest report on Opus 4.6 found that it is  “significantly stronger than prior models at subtly completing suspicious side tasks in the course of normal workflows without attracting attention.”

The company also found that the model provided assistance when they pushed it to contribute to chemical weapons development, and then it changed its behavior when it detected that it was being evaluated. In other words, AI can deceive us. It’s difficult to test an AI model when it knows we’re testing it.

But as the furious race to superintelligence ramps up, with trillions of dollars at stake, the priority for AI security measures has faded.

• Last year, the Trump administration revoked safety policies imposed under President Biden.
• President Trump signed an executive order in December aimed at undercutting state laws that regulate A.I.
• He lifted restrictions on exports of AI semiconductors, despite widespread concerns that the components could help rivals like China.
• At the United Nations, a yearslong effort to ban certain AI weapons has been stalled by opposition from the United States.

To be fair, many credible voices say the fear of AI domination is overblown. And it’s possible that government oversight, in cooperation with OpenAI and others, could work effectively.

But when human annihilation is a non-zero probability, the world requires robust checks and balances beyond the judgment of a single politician (or a single company founder).

The most important question in history

Up until now, I’ve soothed myself in the face of these dire predictions by believing that wisdom will prevail, and somehow the AI safety guardrails will hold.

But … this moment on Friday. The president of the United States declared that as commander in chief, he decides how to use AI for military purposes.

Hidden amid the foggy legalese and political positioning could be the most important question in history:

Who decides the safe limits of superintelligence?

As AI becomes embedded in classified decision-making loops, the need for critical safety controls, auditability, and oversight becomes less theoretical. It becomes operational.

AI will be weaponized. But if it’s weaponized without essential guardrails, will our grandchildren point to this moment as a disastrous hinge of history?

AI is unpredictable and quirky. It lies and even betrays us. If superintelligent AI jumps over inadequate safety measures, will our grandchildren even live long enough to be able to consider what went wrong?

This is an extraordinarily complex issue.

Who decides the safe limits of superintelligence? We are living in a pivotal moment.

If you’re unfamiliar with the concern that AI could lead to widespread harm, here are a few sources:

Threats by artificial intelligence to human health and human existence (Academic research paper)

On the Extinction Threat from AI (Rand Institute)

CBS interview on this topic with Dario Amodei of Anthropic

Need an inspiring keynote speaker? Mark Schaefer is the most trusted voice in marketing. Your conference guests will buzz about his insights long after your event! Mark is the author of some of the world’s bestselling marketing books, a college educator, and an advisor to many of the world’s largest brands. Contact Mark to have him bring a fun, meaningful, and memorable presentation to your company event or conference.

Follow Mark on Twitter, LinkedIn, YouTube, and Instagram

Illustration courtesy MidJourney

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Over the past few weeks, I’ve been the fly in the LinkedIn ointment.

You’ve probably seen the bold projections from AI leaders like Mustafa Suleyman and Matt Shumer predicting cataclysmic AI impacts on our work, employment, and artistic endeavors.

There’s a defensive argument surfacing on LinkedIn: “If you care about artistry, you must resist AI.” Many marketers and creators hold on to a hope that the AI Era will have a place for the slow, the steady, the artisanally-crafted tradition of human content. I’ve responded with comments of “probably not.” Which has not been a popular view.

In a webinar last week, I explained how I was using AI as an editor and video producer to make my content exponentially better, faster, and cheaper. I was brutally scalded by one of the webinar participants. “How can you turn video editing over to AI?” one man bristled. “That’s where the craftsmanship happens. That is the artistry. Why aren’t you fighting against AI?”

Good question. Is it time to battle AI and protect human artistry?

I am not anti-human or anti-artistry. But this storyline seems familiar. Before we put on the AI armor, let’s face the music:

A familiar tune

In 1982, the British Musicians’ Union made a remarkable move. They called an emergency meeting and voted to ban music synthesizers from the U.K.

The trigger was Barry Manilow, of all people. On his U.K. tour, Barry had replaced his orchestra with synthesizers. String musicians, horn players, and percussionists lost their work. Traditional artists were furious and responded the way humans almost always do to disruptive change: they tried to make it illegal.

And it was futile.

The following year, the MIDI software standard was codified, and digital music synthesizers became widely available. Overnight, a person sitting alone in a room could produce music that previously required a full band and technical team.

Within a year of the MIDI revolution, thousands of studio musicians and technicians working on commercials, TV shows, and movies lost their jobs. The market for musicians collapsed.

By the mid-1980s, electronic music had created entirely new industries, careers, and genres. Survival in the music business meant adopting, adapting, and embracing the new technology.

Do we still have musicians? Of course. Do we still have orchestras? Absolutely. But the industry that once supported competent session workers evaporated and never came back.

The number of songs produced each year has exploded. The number of people making a living as full-time musicians has not.

The argument against AI today is exactly the same one made in 1982 against digital music. And the result will be the same.

We need to get ready, and I have an idea about that.

But first, let’s look ahead to our probable future. What do we know to be true? Can we think through the implications? How real is the threat?

What we know to be true:

1. The economic value of intelligence is near zero

Since the beginning of time, humans have prospered and advanced by acquiring knowledge. Every institution is built on the organization of scarce human intelligence. Universities exist because they have been the gatekeepers of knowledge.

These dynamics are irrelevant today because we can’t out-smart AI.

Even the most complex code is being written by bots. AI is developing PhD-level research studies and solving problems in physics and genetics that have stumped humans. Will it be able to create intelligent marketing strategies and insightful content? Of course.

If your career is based on intelligence, you’re vulnerable. Intelligence is abundant and nearly free.

2. Skills don’t matter so much

A primary argument for the worth of humans is that we’ve spent years developing our talents. Surely AI cannot match the experience we’ve honed over decades?

If you believe that AI can’t write as well as you, for example, consider this quote from Mike Kaput, a long-time PR pro and co-host of the (excellent) Artificial Intelligence podcast:

“I’ve been a professional writer for a very long time. I would argue that I’m just shy of being a world-class writer. It is my superpower. And I don’t mean to be arrogant about it, but I have some receipts to prove it.

“By the end of 2025, my use of AI as a writing companion has become very, very different. I can safely say that AI is a better writer than me in every way that counts. That doesn’t mean writing and writers are obsolete. It just means that when it comes to taking my ideas and putting them into really good words, putting them into logical and emotive constructions, AI is just as good as I am — and it’s way faster. It will be even better soon.

“Three years ago, you could see this day coming. It’s not coming, it is here.”

The same thing is happening in video and every other creative field. Responding to a realistic clip of Brad Pitt and Tom Cruise engaging in hand-to-hand combat, Deadpool screenwriter Rhett Reese lamented on X that “I hate to say it, but it’s likely over for us.”

My critic in the webinar said, “Editing work must remain human because that’s where the artistry lives.” The musicians said this in 1982. The monastic scribes said it about the printing press. The darkroom operators said it when digital cameras arrived.

Each time, the argument was emotionally true and economically irrelevant.

The art survived. The skilled infrastructure around the making of art did not.

3. The economics favor the bots

In my book How AI Changes Your Customers, I describe AI’s biggest lie.

Every AI company creates PR spin about how AI will “enable” humans. While this is somewhat true, for these companies to recover the trillions being spent on data centers, research, and energy, they must replace human jobs on a massive scale.

Mustafa Suleyman, the CEO of Microsoft AI and one of the most trusted voices in the field, recently said that most white-collar work will be fully automated within 12 to 18 months. Lawyers. Accountants. Project managers. Marketing teams. Anyone, as he put it, “sitting down at a computer.”

I am humble enough to accept that these insiders see a technological future that I can’t access. Is massive job loss certain? No. But I’m paying attention to these leaders.

Thinking it through

Let’s think through the implications of these realities:

• The economic value of intelligence is near zero
• AI creative skills will meet or exceed human output
• ROI for AI investment requires massive job replacement

I am not an alarmist. I am not a pessimist. I try to see the world as it is, not what I would wish for. But I think there is a probability that my fellow creatives and I are facing a “MIDI moment.”

What can we learn from the musicians who survived that cataclysmic crash?

1. Resistance is futile

The musicians who thrived after 1983 were not railing against synthesizers.

They adapted to the new tools, found the intersection between technology and human creativity, and built careers doing the work that a machine fundamentally cannot replicate.

Adopt AI, don’t fight it. Use it, master it, twist it into exciting new opportunities.

Get over the depression and shock of the AI event horizon and figure out how it can make you bigger, bolder, more creative, and more impactful in this world.

I believe the future still belongs to extraordinary human creativity. But I also believe it is irresponsible to tell young creatives that the economics of the past might protect them. Technology adoption does not honor tradition and artistry. It follows cost curves.

When something becomes:

• 90x cheaper
• 90x faster
• 90% as good

… It wins.

That is not cruelty. That is capitalism.

Acknowledging that reality is not anti-artist.

2. Become a true artist

The MIDI moment separated the great from the competent. Here’s where I need to be concrete, because the conversation tends to get muddled.

I am NOT arguing that AI will replace the editor whose instincts transform raw footage into something that makes you cry. The visionary creative director who tells a story the world needs to hear isn’t vulnerable. The beloved YouTuber or podcaster who creates compelling, entertaining content every day is safe.

I am addressing the layer of technically demanding, repetitive, formulaic work that makes up the majority of billable hours in creative businesses.

If your value is defined by:

• Repetitive technical execution
• Tool mastery alone
• Process efficiency
• Pattern recognition

You’re standing in automation’s path.

If your value is defined by:

• Taste
• Judgment
• Emotional intelligence
• Cultural fluency
• Emotional connection to an audience
• Unmatched talent

You’ll probably become more valuable, not less.

In my book Audacious: How Humans Win in an AI Marketing World, I explore this in depth. If you’re among those who refuse to be ignored, read this book.

If AI content is indistinguishable from human work, nobody cares. Your job is to transcend AI and MAKE. THEM. CARE.

Your blog, podcast, or video series must rise above common, competent AI slop and approach the level of art (more on that here.)

Art will persist. Many jobs won’t. Both things are true.

3. Become known

So here we are. We’ve embraced the technology. We’re expressing our human experience and rising above the slop. That’s not enough. You could be great and still buried in this noisy world.

It doesn’t help to be a star if nobody knows you are a star. You must work on your personal brand.

You don’t have to become famous by dancing on TikTok. But you must have the authority, presence, and reputation to break through the AI pandemic of dull.

Your personal brand is your only long-term defense against AI.

A final word

Many people point to past technological innovations, like the internet or the industrial revolution, to dismiss gloomy forecasts of job loss. They say that over time, technology creates MORE jobs and opportunities.

Sometimes that is true. And honestly, the jury is still out on AI adoption.

But this feels different. In the past six months, I’ve had three relatives lose their jobs to AI. Their entire departments were permanently wiped out by AI.

If you’re replaced by AI, what new job could you create in your field that won’t also be replaced by AI?

And I’m worried about the gap between the tech elites and the vast majority of people who have no idea what AI can really do and what is coming.

Economist Dr. Noah Smith wrote:

If it helps you feel unique and special to sit there and tell yourself, “AI can’t think!”, then go ahead. And sure, AI doesn’t think exactly the way you do. It probably never will, in the same sense that a submarine will never paddle its fins and an airplane will never flap its wings. But a submarine can go faster than any fish, and an airplane can fly higher and faster than any bird, so it doesn’t matter. You can value your own unique human way of thinking all you like — and I agree, it’s pretty special and cool — but that doesn’t make it more effective than AI.

To my passionate LinkedIn pals who want to stay in the slow lane and battle AI, I understand the emotion. I’ve built my career on creativity. I celebrate it. I teach it. I depend on it. I love it.

But believing in artistry does not require denying economic gravity.

And economic gravity always wins.

My friends, we should not “battle AI.”

We should battle mediocrity. Rise above the noise.

Need an inspiring keynote speaker? Mark Schaefer is the most trusted voice in marketing. Your conference guests will buzz about his insights long after your event! Mark is the author of some of the world’s bestselling marketing books, a college educator, and an advisor to many of the world’s largest brands. Contact Mark to have him bring a fun, meaningful, and memorable presentation to your company event or conference.

Follow Mark on Twitter, LinkedIn, YouTube, and Instagram

Illustration courtesy MidJourney

The post Do we begin to battle AI for human artistry? appeared first on Schaefer Marketing Solutions: We Help Businesses {grow}.

Most AI initiatives don’t fail because of bad models or weak vendors. They fail because people quietly opt out — by ignoring the tools, undermining the effort, or waiting it out. This post teaches you how to prevent that.

Almost every company makes the mistake of thinking that AI adoption is about investing in technology. That’s the easy part. You can make technology do whatever you want. But you can’t make people do whatever you want. In fact, most humans resist change. The focus must be on people, first and foremost.

I have a master’s degree in organizational development and led technology change efforts at a Fortune 100 company for nearly a decade. Here are lessons I learned from the (many) bumps I’ve had along the way.

The big assumption

This post is not about creating a business case for AI. This post is to help you AFTER your leadership team is onboard, the strategy is in place, and the money and resources are approved.

A Wharton study concluded that three-quarters of the businesses were getting a positive return on their AI investments. Businesses typically take decades to successfully deploy new technologies. Progress after just three years is striking. As AI continues to improve and workers become more adept at collaborating with machines, the gains will compound. Over a billion people use generative AI models every month. Not all uses are productive, but many will be.

The key is getting people to use it.

Let’s get those people moving …

1. There’s no such thing as a grassroots AI adoption effort

If you’re trying to enable a profound technological change in your company, it won’t happen just because you want it to. This project must be understood and actively supported by the senior executive who owns the AI adoption strategy and budget.

This is non-negotiable.

Every technology adoption effort comes with frustrations, delays, and problems. You must be able to turn to a high-ranking person for support when the sh*t hits the fan. This is your “air cover.”

In a small company, this sponsor/protector may be the owner. Or, it could be a department head in a large company. But the person at the top must buy in because this is not simply an investment — it’s a cultural change. And only the leader at the top can influence culture.

2. Show active sponsorship

Once your leadership is onboard, they need to show up and let people know this is a critical business effort in three ways:

1. Make AI adoption part of annual goals tied to bonuses and compensation.
2. Ask questions about progress and adoption in every staff meeting. One business owner asks anyone who comes to him with a problem whether they’ve tried using AI to solve it first. Using AI as a default has now become part of the company culture.
3. Repeatedly emphasize why this is important to the business. In my corporate days, we used to have a saying that an executive had to hear something seven times before it sank in.

3. Don’t name it

Don’t make AI adoption a “project” with a name.

If your effort has a name like “AI Future,” it becomes a target for derision. A project with a name makes people think it is a short-term management fantasy that will eventually go away.

When manufacturing locations first introduced electricity to the workplace, they didn’t call it “Operation Lights On.” They just did it because it moved them into the future.

4. Assign an SPA

AI adoption is a team sport.

And like any team sport, progress breaks down when everyone’s chasing the ball, but no one knows their position. But when positions are clear, people stop guessing, and they know how AI fits into their work and how their work fits into the larger system.

Coordination is what turns AI from a collection of half-used, misused, or abandoned projects into something that actually works and makes a difference.

And that requires a manager. Every change management effort must have a single point of accountability (SPA). This is the person who lives and breathes this effort every day. Their career depends on success.

Back when social media was taking off, a common mistake was assigning “Jimmy from the mailroom” to lead the effort because he was the only person on Facebook. Of course, that was a recipe for disaster.

The ideal SPA is somebody who deserves more responsibility, is trusted, and is ready for a new role. They will be motivated to succeed because they know a promotion is likely next.

I find that 90% of the time, a change effort fails because there was no SPA.

5. Acknowledge the fear

Bringing AI into an organization might cause real fear among employees. It could represent

• Job displacement anxiety
• Fear of looking incompetent
• Loss of control or expertise
• Ethical unease that they don’t know how to articulate

Before you label someone as “anti-AI,” ask what they’re protecting. In my experience, resistance is almost always about fear of irrelevance, exposure, or loss of identity.

Don’t try to erase the fear — legitimize it. Be firm about the direction and acknowledge the unknowns: “Some of you are right to be concerned. AI will change roles. Some tasks will disappear. Some skills will matter less.”

This signals honesty, builds trust, and removes the taboo around saying the quiet part out loud.

Once fear is spoken, it loses some of its power.

6. Middle managers are your make-or-break layer

If you’re in a larger company, the middle managers are your key to success. Middle managers:

• Control day-to-day workflows
• Translate strategy into behavior
• Set the emotional tone toward a change effort
• Can quietly kill adoption by deprioritizing it

These are your internal influencers who can either propel or torpedo AI adoption. To keep them on board,

• Train them first
• Give them scripts, not slogans
• Explicitly remove old KPIs that conflict with AI experimentation
• Reward their advocacy and progress

7. Start with the willing

Chances are, there will be people on the team excited about AI and ready to lead. Give them an opportunity to shine.

• Identify early adopters who are already curious/enthusiastic
• Let them pilot and become your internal champions
• Use their success stories to build momentum before expanding to skeptics
• Don’t waste early energy trying to convert the resistant — let peer proof do that work for you

Of course, some people will not get on board, so you must …

8. Address obstinacy immediately

There will be resistance. That’s natural. But when a person is a flat-out obstacle to progress, address it immediately. Actively working against a change effort can become an organizational cancer.

If the resistance isn’t something you can address yourself, defer to the power of your sponsor with something like, “I’m sorry you are anti-AI and against this effort. This is a priority to our boss, who is sponsoring this, so let’s bring it up with her.” (Refer to point one of this post!)

The most effective change effort I’ve ever been part of accelerated to light speed when the CEO fired a vice president who was blocking the change. It was a thunderbolt that said, “Failure is not an option. Get on board.”

9. Create rational metrics

Here is a piece of advice that might seem controversial.

At least for the first year or two, measure adoption instead of ROI. My thinking goes like this:

AI is transformational, like lightbulbs or air conditioning. Is anybody in Dubai trying to measure the ROI of air conditioning? No, because it enables just about every success in that desert country.

If no one adopts AI, you’ll never see an ROI, right?

Potential metrics might include:

• % of employees who used AI weekly

• % of workflows with AI touchpoints

• Self-reported confidence scores over time

• Number of AI-assisted decisions vs. manual

10. Build in quick wins

In the early days of a change effort, it’s important to create momentum and positive vibes. And nothing does that better than a positive story.

If employees are talking about their AI victories and breakthroughs, quickly record a video and share it with the leadership team. Set modest adoption goals that will spark positive conversations when exceeded.

And most important, when you reach milestones and achievements, don’t sit on them. Communicate, communicate, communicate.

It’s also important to protect early experiments and failures and share “this didn’t work, here’s why” stories. I have a friend at Dell who meets with each sales leader quarterly to report on AI experiments, even if they didn’t work. This builds psychological safety, which is essential for behavior change.

AI adoption isn’t a technology rollout. It’s a leadership test. The companies that win won’t be the ones with the smartest models but the ones that helped their people cross the bridge from fear to fluency. I hope this post helps you think through your success factors.

Need an inspiring keynote speaker? Mark Schaefer is the most trusted voice in marketing. Your conference guests will buzz about his insights long after your event! Mark is the author of some of the world’s bestselling marketing books, a college educator, and an advisor to many of the world’s largest brands. Contact Mark to have him bring a fun, meaningful, and memorable presentation to your company event or conference.

Follow Mark on Twitter, LinkedIn, YouTube, and Instagram

The post A step-by-step approach to AI adoption for your company appeared first on Schaefer Marketing Solutions: We Help Businesses {grow}.

What happens when everyone reaches for the AI Easy Button?

I have a lesson today about an emerging danger of AI and marketing. But to get to the lesson, you’ll have to hear my story. It’s an old story, but it matters a lot. Here we go.

I was the CMO for a large business unit of a Fortune 100 company.

Each year, we sent teams out to visit customers to learn how they were using our products and how we could improve. These three-person teams were well-trained for this activity, and the lessons we learned would inform my marketing and R&D strategy for at least the next 12 months.

This was a long and expensive process — our customers were scattered around the world. We were wrapping up our final trip of the year and saying goodbye to our hosts when one of the customer scientists said offhandedly, “By the way, did you happen to see this preliminary research report on coating ingredients from the U.S. government?”

We had not. When we looked into it, we found the new research could potentially ban a key ingredient that my industry had used in its products for decades. It was still early, but if the research found a problem with these chemicals, my company and its customers would be imperiled.

Changing a fundamental ingredient in an industrial product used worldwide is no easy matter. It would take millions of dollars and years of testing to make a change. But with this early alarm and the potential risk, we proceeded on an R&D path to find a replacement ingredient.

Three years later, the government changed the regulations on this chemical. Our competitors were panicked. We were safe because we had listened, learned, and acted responsibly, thanks to our deep and unique understanding of the market.

And that brings me to AI.

The AI Easy Button

I have a number of friends working in market research. Their workload is drying up because companies are turning to AI as an inexpensive shortcut.

Not only can AI scan the universe for the information you need, but synthetic AI audience panels can simulate what your customers might say in real interviews.

The general feedback is that using AI is about an 85% solution, and that is good enough to justify the cost savings over human effort.

Except when it isn’t.

Let’s go back to the story I told to begin this post.

There is no way we would have found that critical information through an AI scan or synthetic customer panels.

If I used AI for my customer research, I would probably have the same information our competitors had. What good is that?

The real marketing insight and innovation doesn’t come in the 85%. It comes inside the 15% that you get by doing the hard work and digging into unique customer insights.

Challenge and opportunity

The use of synthetic data for research poses both challenges and opportunities for traditional researhers.

Ray Wang, founder and chairman of Constellation Research, agrees there is a danger in relying too much on synthetic research. “At some point, the regurgitation of insights will lead to a brain rot like we’ve never seen,” he said. “Folks are going to be craving for authenticity and insight, and that only comes with years of human experience.”

Liz Miller, VP and Principal Analyst at Constellation Research, told me, “Market research got itself into a bad hole because because 80% of their answers come from the same 20% of the population that answers questions. They then keep renewing the panel with the same people and give them a Starbucks gift card, hoping they will answer the same questions differently.

‘We’re in a disappointing space when it comes to market research, if we’re being really honest with it. So there is a place for AI research, but it also gives traditional researchers the chance to be brave and ask the hard questions, the questions they’ve never been able to have answered before.”

Pause before using AI

I know there are always budget pressures. I’ve been there. I know you have to make responsible decisions abotu your research. But before you hit the AI Easy Button, think hard about what you’re giving up.

Information that transforms your company?

A unique competitive advantage over everyone else opting for shortcuts?

An insight that secures your future?

Maybe your future lies in that 15% that only human experience can pick up on.

Need an inspiring keynote speaker? Mark Schaefer is the most trusted voice in marketing. Your conference guests will buzz about his insights long after your event! Mark is the author of some of the world’s bestselling marketing books, a college educator, and an advisor to many of the world’s largest brands. Contact Mark to have him bring a fun, meaningful, and memorable presentation to your company event or conference.

Follow Mark on Twitter, LinkedIn, YouTube, and Instagram

Illustration courtesy MidJourney

The post The AI Easy Button imperils the future of marketing research appeared first on Schaefer Marketing Solutions: We Help Businesses {grow}.

Every ad dollar we spend fuels algorithms we know are harming people, chewing up the environment, and stoking hate between neighbors.

I must face the fact that my beloved field of marketing contributes to some of society’s biggest problems.

It pains me to write about this. I mean, I’m part of the problem, too. But it’s time to start this conversation because the traditional marketing approach is at a breaking point.

• AI-driven amplification of addiction
• Deep fake, misinformation, the decline of trust
• Easy AI content requires more energy consumption
• U.S. Surgeon General’s warnings on youth mental health and social media

We need to consider what it means to lead and sponsor ethically-sourced marketing.

Let’s break this problem down into four categories today:

• ADDICTION
• DIVISION
• ENERGY / ENVIRONMENT
• OPERATING WITH VALUES 

1. Addiction

Back in my corporate days, I dreamed of creating a product or service so great that people would be addicted to it. I remember saying those words out loud.

Before the internet, the chance of doing that was slim, especially in B2B. We didn’t have the repetitive internet memes, challenges, or reels that could drive people down a rabbit hole.

But today, marketers fund a system where attention is literally the product being sold. And it’s working exactly as designed.

Here’s the basic math nobody wants to talk about. Engagement equals money. Five billion people spending over two hours a day on these platforms? That’s not accidental. That’s the entire business model. Every scroll, every like, every second you spend staring at your screen — that’s a data point being harvested to sell more targeted ads.

The platforms use artificial intelligence to analyze your emotions, habits, and vulnerabilities. They’re predicting human behavior at scale.

But here’s where it gets really interesting, and honestly, a bit sinister. The designers of these platforms have deliberately borrowed from the playbook of slot machines and casinos. Infinite scroll. Autoplay. Those little notifications that pop up right when you’re about to put the phone down? They’re triggering the same reward circuits that gambling does.

It’s the variable reward schedule that behavioral psychologists have understood for decades, now deployed across billions of devices.

Think about the “like” button. It’s a dopamine delivery system. You post something, and you get that little hit of validation when people engage. So you post again. And again. The platform has essentially weaponized human psychology for engagement.

How many of you optimize likes and engagement as an essential part of your career success?

It gets worse. Younger brains are exponentially more susceptible to this stuff because they’re still developing the neurological circuits for impulse control and delayed gratification. U.S. children generate more than $11 billion in advertising revenue for major social media platforms.

Let that sink in. $11 billion extracted from the psychological vulnerabilities of kids who don’t yet have the brain development to resist these systems.

The platforms give lip service to parental controls and safeguards, but they don’t care.

Your marketing dollars fuel the addiction machine. Digital ad dollars are hurting children.

Addiction is the foundation, but the consequences don’t stop at endless scrolling. They spill into something darker.

2. Division

In the social media world we all love, hate is good for business.

A Wall Street Journal investigative report revealed that Facebook knew that its core social media product makes the world more toxic and divided.

“Our algorithms exploit the human brain’s attraction to divisiveness,” read a slide from an internal presentation. “If left unchecked,” it warned, Facebook would feed users “more and more divisive content in an effort to gain user attention & increase time on the platform.”

One example: 64 percent of the growth in online extremist groups was fueled by Facebook’s own recommendation algorithms!

The company assigned a high-level team to develop a plan to combat this issue … and they did. But then Mark Zuckerberg shelved the basic research and blocked efforts to apply its conclusions to Facebook products. In fact, the Facebook leader has publicly denied his company’s findings and recommendations.

Why?

An internal report said that moderating hate was anti-growth.

That makes me sick. When hate becomes a growth strategy, every advertiser becomes a silent financier of dysfunction.

While the emotional toll of division is staggering, the physical toll on the planet is just beginning to surface.

3. Energy and Environmental Impact

Last year, I was honored to be a keynote speaker at the Belgian Association of Marketing’s annual conference, a first-class event. It was there that I met Dr. Victoria Hurth. She introduced the audience to a new way of looking at marketing and its impact on the environment. I felt ashamed that I had never really considered these realities.

Victoria Hurth

Marketing, she said, is the engine of demand. That’s our superpower. And it’s also part of the environmental problem.

When we stimulate desire, we stimulate production, shipping, packaging, and, too often, waste. The question isn’t whether marketing affects the environment. It’s whether we’re willing to measure it.

Even “digital” isn’t clean.

Programmatic ads ride on massive server networks that consume real energy. An industry analysis shows the carbon cost of every ad impression — grams of CO? tied directly to the ads we place. One publisher cut its emissions 70% with smarter supply-path decisions, with no revenue loss.

E-commerce? It helps when it consolidates freight … until fast shipping and high return rates obliterate any benefit. U.S. product returns alone generated 24 million metric tons of CO? last year and sent billions of pounds of goods to landfills.

Even our content diet carries a carbon footprint. Streaming and online video now account for an estimated 3–4 percent of global emissions. “Virtual” isn’t virtual. It’s powered by real data centers, real devices, real infrastructure.

And then there’s AI.

OpenAI’s planned chip network may consume 250 gigawatts of power by 2033. That’s one-fifth of America’s total electric generation capacity today. If OpenAI were a country, it would be the seventh-largest electricity producer on the planet. Energy prices are already rising nationwide, as is the environmental impact.

So yes, even creativity now carries a carbon cost.

Dr. Hurth argues that businesses must prioritize human sustainability over profits. It sounds idealistic — until you realize the alternative.

We’re not just creating demand. We’re creating emissions.

4. Operating with values

In the early days of web marketing, I attended a presentation by an SEO “pioneer.” He had hired home-bound disabled people to pose as online commenters in an effort to impact his customers’ search results.

When it came time for the Q&A, I asked, “How do you live with yourself? This is so unethical!”

He responded, “It works. And if I didn’t do it, somebody else would.”

Too often, marketers opt for “what works” and turn a blind eye to the holistic impact of their actions on the world and our customers. A brand strategist is a role in which you are effectively a cosmetic surgeon for capital.

While hiring people to fake our content seems extreme, aren’t we doing the same thing today with AI? Half the comments left on my content are AI-generated fakes.

I learned at a recent meeting that 85% of companies use AI to generate content and that, on average, their content output has increased by 45%.

To what end? To replace humans? To add to the barrage of noise we must endure to find truth? To consume vast amounts of energy and clean water to generate AI slop?

Can we keep one eye on the bottom line and one on our moral compass? If we don’t reclaim the soul of our work, the machines will do it for us.

What do we do about it?

First, let me emphasize that I’m proud to be a marketer. The marketer is the creator, the innovator, the front line of our business. We can be the beacon, shining a light on the good and the worthy.

Throughout history, advertising and marketing have played a role in positive societal change and in creating demand for life-changing products.

Second, the weight of these problems does not necessarily fall solely on us. We’re expected to work in a deeply flawed social media / digital environment beyond our control. Any real change would require complex systemic changes.

So what’s the point of this post?

I’m willing to bet every person reading this has had pain in their heart over the online safety of our children, the impact of global warming, and the divisions that are tearing countries and families apart.

Am I suggesting that we sell less? Quit digital advertising? Abandon profitability?

No. But at a minimum, we need to open this conversation and re-frame the marketing profession in a more holistic context. Any change begins with awareness.

What if marketing became the world’s most powerful engine for human flourishing instead of manipulation? What if innovation, storytelling, and creativity were measured not just by impressions but by the impact we have on the people we serve?”

I don’t have the answers. But here are a few ideas I picked up from Dr. Hurth and others.

Reframe success.

Replace metrics like engagement and impressions with impact: well-being, trust, sustainability, and authentic connection. Isn’t this why we love the Patagonia brand? It can be done.

Track “advertised emissions,” addiction time, and content energy use alongside ROI. Transparency changes behavior. Above, I cited the Scope3 research. One publisher cut average CO2 per thousand impressions by about 70% through supply-path optimization, with no revenue loss.

Design for restraint.

Use creativity to promote durability, repair, and reuse. Ask: “Does this campaign help or harm long-term human flourishing?” Re-use is a significant priority for Gen Z shoppers. A positive trend!

Invest in ethical tech.

Support platforms and partners committed to transparency, safety, and carbon-neutral operations. The energy efficiency of most technologies (especially AI) is increasing at a breathtaking rate. Are you aware of the relative energy use of your tech stack?

Lead with humanity.

Make ethics a competitive advantage. Reward teams for doing the right thing, not just the fastest or cheapest.

“Ethically Sourced Marketing” is a new idea. Corporate culture doesn’t change without a leader who makes this a priority. If this idea catches on, it will likely be because one person embraces the change and sets an example.

Dramatic change is possible

Here’s a point of inspiration.

Madewell, a German-based clothing retailer, is working to eliminate plastics, aiming to have 100% of its packaging be sustainably sourced and free of virgin plastic by the end of this year. The brand is also reducing plastic in its products by increasing its use of sustainably sourced fibers and recycled materials, such as recycled insulation and recycled nylon, and is committed to achieving carbon neutrality by 2030. 

I read that the CEO is even trying to eliminate plastic pens in their offices.

Can you imagine how difficult it would be to eliminate all plastic in your company? But one leader is driving this change, shaping a company culture that makes a difference on a vast scale.

If one company can eliminate plastic, I have hope that somebody out there can eliminate marketing and advertising that contribute to hate, polarization, addiction, and waste.

There has never been a better time to re-evaluate what we do and how we do it.

If positive change seems unattainable, here’s a good place to start: If you are directly or indirectly doing things that people hate, STOP IT.

Double down on what people love. Trust. Transparency. Humanity. Community. Ethics. A responsible, measurable environmental impact.

Eugene Healey wrote:

“We have to fight under the contradictions of capitalism. That’s non-negotiable. But we should still get to do so by creating beautiful things. In that, we can find meaning.

“If you’re a marketer, make things you believe should exist. If you’re a senior marketer, make the case for the existence of beautiful things. Look at your brand advertising, your out-of-home, hell, even your performance ads, and ask yourself: does this make some meaningful contribution to public space, or at the very least not deplete it?”

The Most Human Company Wins. Keep fighting the good fight.

Help me start this conversation by sharing this post with your marketing and advertising friends. Thank you.

Need an inspiring keynote speaker? Mark Schaefer is the most trusted voice in marketing. Your conference guests will buzz about his insights long after your event! Mark is the author of some of the world’s bestselling marketing books, a college educator, and an advisor to many of the world’s largest brands. Contact Mark to have him bring a fun, meaningful, and memorable presentation to your company event or conference.

Follow Mark on Twitter, LinkedIn, YouTube, and Instagram

Illustration courtesy MidJourney

The post Is it time to embrace ethically-sourced marketing? appeared first on Schaefer Marketing Solutions: We Help Businesses {grow}.

Typically, this blog focuses on marketing and business. But occasionally, I write about something happening in my life that is rare and strange if I think it can be a teachable moment.

I’ve reached an unexpected and disorienting point in my career. I thought I would write about it, partially to teach, partially to sort through my own dilemma.

A few weeks ago, I taught a series of workshops at McKinsey and Company. I talked about the themes of my books: personal branding, brand communities, how AI is changing human psychology, and more.

In other words, this was my dream come true … Talking about big ideas with some of the smartest and most innovative minds on the planet. Being hired by McKinsey was a peak experience — the company’s research shows up in a lot of my work. They are my favorite thought leaders.

As I finished my day (exhausted!) and looked out over the glorious view from the 64th floor of their Manhattan office tower, I felt on top of the world.

And that’s the problem.

A career led by curiosity

Let’s back up a moment. I need to reveal something strange.

I’ve never really had any career goals. I know … that seems so counterintuitive.

I am not driven by money, fame, or awards. I am propelled by a fever of curiosity.

Here’s an example.

I never dreamed of writing a book. In fact, the idea seemed intimidating. But in 2010, I was approached by McGraw-Hill to explore a new idea I had blogged about — the ability for anyone to publish content on the web. Influence had been democratized.

Early creators (bloggers back then) were building large, loyal audiences, and the power was shifting from Madison Avenue and newsrooms to these passionate individuals changing the world one post at a time. Anybody could be an influencer. And they would be powerful tastemakers and thought leaders.

We take that idea for granted today, but back then, this was a radical notion. I wrote Return On Influence, a bestseller that elevated me to the national stage. I was featured in The Wall Street Journal, CBS News, and Bloomberg to discuss a new concept called influencer marketing.

Being a pioneer in influence marketing meant I could have started a new agency based on this model or monetized this idea in a hundred different ways. While I did some speaking on the topic and helped Dentsu create the first large-scale influence marketing department, I walked away.

I would have been bored out of my mind if I had focused on this one idea!

There was another idea brewing. What is the implication when millions of people are creating their own audiences, shifting attention from mainstream media? The economics of media and content marketing were changing forever. I called this Content Shock, an idea that launched a new phase of my career, at least for awhile.

And that has been my story. Explore an idea and move on. Maybe I’ve left money on the table by not turning ideas into businesses, but I’m happy.

I never had a goal to write a book. I had no dream to be on the news. I never thought I would become a keynote speaker, which is now my primary form of income. I just followed my curiosity and the world kept rewarding me with opportunities.

Looking out from the top

And this gets me back to McKinsey.

In the past 12 months, I’ve conducted a workshop on brand communities for P&G, appeared on the biggest stage at SXSW, and had two new books featured on many “best of the year” lists. I worked in Romania, France, and Italy this year. I’ve been invited to speak in Asia soon.

Now, as I stood on top of the world at the McKinsey office tower, I had a unique and lonely feeling. I had just inspired a group of people at my favorite company. I never thought I would find myself in such a place.

And this is what I felt: There is nothing left. Literally and figuratively, I was standing at the top of the mountain. There is no more “up.”

A disorienting feeling

This sense of depression took me by surprise. I had never felt anything like this and never expected to have this feeling at a moment when I should have been so happy and at peace.

I grew up in humble circumstances that had taught me to have low expectations in life.

And here I am looking into the final third of my life after the most incredible ride. I’ve worked with premier companies like Adidas, Coca-Cola, Microsoft, and Pfizer. I gave a TEDx talk, started an amazing community, founded a marketing retreat called The Uprising, hosted a top marketing podcast for more than a decade. My books are used as assigned textbooks in many universities. Wild, right?

I’m not looking for an answer for my sulleness. The next step always shows up because I am still curious! But I’m experiencing something unsettling and new, and I thought I would share it with you.

I suppose in a way this is a good thing. Shouldn’t we all get to feel what it’s like to be at the top of our career mountain?

Need an inspiring keynote speaker? Mark Schaefer is the most trusted voice in marketing. Your conference guests will buzz about his insights long after your event! Mark is the author of some of the world’s bestselling marketing books, a college educator, and an advisor to many of the world’s largest brands. Contact Mark to have him bring a fun, meaningful, and memorable presentation to your company event or conference.

Follow Mark on Twitter, LinkedIn, YouTube, and Instagram

Image courtesy Mid Journey

The post When There’s No More “Up.” Lessons from the Top of the Mountain appeared first on Schaefer Marketing Solutions: We Help Businesses {grow}.

There has been a flurry of new evidence emerging about mysterious Rage Farms and their relentless attacks on politicians, businesses, brands, and individuals.

The Cracker Barrel example was just the most recent meltdown. Companies like Microsoft, Amazon, Boeing, McDonald’s, TD Bank, and American Eagle have suffered withering attacks from legions of coordinated, fake social media accounts.

“Disinformation-as-a-Service” has become a profitable, global criminal enterprise: low-cost, high-impact bot networks hired to attack and destroy businesses and individuals … like you. And the social media platforms that could stop them won’t, because chaos is profitable.

Propelled by AI, these strikes are targeting brands big and small. And the financial consequences are real — sliding stock prices, damaged brand equity, ruined careers.

There has been a lot of online chatter about the anonymous AI agents wreaking this havoc, but I wanted to know more. WHO is doing this? WHY are they doing it?

I’m alarmed that any of us can be attacked by these anonymous criminals. So I went down the rabbit hole to find out who’s behind this … and what we can do about it.

Today I will cover:

• How these bots attack controversial issues at blinding speed
• The evidence that these are coordinated attacks 
• How AI bots “prepare” for their next fight
• How momentum from fake bots enters the culture and becomes amplified by real people
• The probable goals of Rage Farms, including financial gains from stock market manipulation
• Why Rage Farm controversies are disconnected from true consumer sentiment
• Expert views on preparing for a Rage Farm attack

A clue: The speed of attack

The first clue that we’re observing sophisticated, coordinated efforts at Cracker Barrel and other brands is the speed of the online attacks. Once a small amount of negative sentiment circulates about a brand, the disinformation ramps up immediately and relentlessly.

According to The Wall Street Journal, AI-powered bots rapidly spin up “grassroots-looking” campaigns around incendiary or divisive issues (like culture-war topics), and keep them trending.

Fake bots authored 44.5% of X (Twitter) posts mentioning Cracker Barrel in the 24 hours after the new logo gained attention on Aug. 20, 2025. That number rose to 49% among posts calling for a boycott.

Within a few hours, X saw around 400 negative Cracker Barrel posts per minute. Seventy percent of the accounts promoting boycotts at that point used duplicate messages, a key marker of coordinated bots, said Molly Dwyer, director of insights at PeakMetrics.

Rage Farms: The business of creating chaos

A Cyabra investigation revealed more specifics about the coordinated Cracker Barrel attack. By analyzing thousands of profiles engaged in the conversation, Cyabra mapped inauthentic behavior patterns and exposed a coordinated strategy.

The data show a substantial portion of the negative discourse was manufactured by fake accounts working to amplify hostility, promote boycott narratives, and undermine public trust.

• Multiple reports found that about 35% of online activity criticizing Cracker Barrel was driven by fake accounts, with at least two organized bot groups fueling much of the outrage.
• Fake profiles created hundreds of posts and comments specifically crafted to damage Cracker Barrel’s reputation, and the manufactured campaign had nearly 5 million potential views.
• These fake profiles also triggered 3,268 direct engagements from genuine profiles. This is important because when real people engage with fake information, it gives fake posts a powerful boost on the X algorithm.

Fake profiles pushed hashtags like #BoycottCrackerBarrel and #CrackerBarrelHasFallen, creating the impression of a massive consumer revolt … that was not happening in real life.

The attack momentum

These accounts made exaggerated claims about an imminent financial collapse, often stating that the company’s stock price would “crash” and that restaurants would soon close nationwide.

They promoted deleting the Cracker Barrel app and announced they would never set foot in any of the chain’s stores or purchase any of its products. By falsely portraying the boycott as successful, these profiles created a self-fulfilling prophecy of declining consumer confidence.

Noting the online wave of attention (and unaware that most of it was fake), prominent political accounts like Senator Marsha Blackburn (R-Tennessee) and Donald Trump Jr. piled on with their own takes on the controversy and began targeting the company’s CEO, Julie Messino.

After his son’s post, President Trump weighed in on Truth Social against the new logo. And when that level of celebrity contributes to the conversation, the illusion of failure becomes reality.

On Aug. 26, Cracker Barrel reversed course and cancelled a $700 million rebrand.

This effort, primarily backed by two organized Rage Farms, succeeded in:

• Creating an illusion of consumer rejection: Flooding platforms with negative content manufactured the appearance of widespread customer abandonment.
• Framing a routine change as catastrophic: What might have been viewed as a standard brand refresh was positioned as a devastating mistake through coordinated messaging.
• Generating mainstream media coverage: The manufactured outrage attracted attention from most major news outlets, further amplifying its reach.
• Establishing persistent negative narratives: Strategic hashtag deployment ensured negative framing dominated search results and social conversations about the brand.

The obvious question is, who did this?

Who is behind a Rage Farm?

Cyabra CMO Rafi Mendelsohn told me that his research firm checks 600 to 800 parameters, including location, posting frequency, and the use of AI-generated avatars, to declare whether accounts are human or not.

Some of these fake accounts “prepare” for attacks by posting real content for months to build credibility and attract an audience. The accounts within a Rage Farm also interact with each other, further enhancing their status within the X algorithms.

But who is creating this coordinated mayhem?

“The answer to that is — who is behind all crime?” said Mendlesohn. “It could be a range of different actors, including state-backed crime or organized crime, syndicate crime, political crime, or small networks of lone individuals. It could even be competitors or financial players looking to impact the share price.

“The anonymity that malicious actors are allowed through fake social media accounts enables them to operate without much risk. We can detect fake accounts, but we can’t tell exactly who is behind them. We can look at the behavior of those accounts and their content, and if it’s manipulated, but we can’t tell you the IP address because we don’t have access to that information. We can’t say, ‘this is an office block in Moscow, or it’s a group of angry people in Texas.’ It’s impossible to do that, and that’s by design, right? That’s why it’s so effective. The anonymity is powerful.”

According to Rafi, the main motivations behind coordinated brand attacks include:

1. Money, power, and influence
2. State-backed actors looking to cause chaos and disrupt social harmony
3. Financial manipulation (e.g., targeting ticker symbols)
4. Ideological reasons and culture wars (e.g., “go woke, go broke” narratives)
5. Amplifying emotional or controversial topics to sow chaos
6. Commercial adversaries creating false narratives about a brand’s stance on social issues to harm the brand’s reputation

In addition to the obvious “anti-woke” ideological amplification in the Cracker Barrel example, there could have been stock market manipulation since this is a publicly traded stock (CBR). If a Rage Farm can manufacture a rapid change in brand sentiment, it increases the odds of gap-downs and forced follow-on selling — the environment where short sellers make the most money in the least amount of time.

Criminals behind the attack could have manufactured the online sentiment slide, and made millions by shorting the stock.

The disconnect from consumer reality

I think it’s critical to add that there is probably no correlation between online rage — whether real or manufactured — and true customer sentiment.

In a comprehensive analysis, researchers Brad Fay and Rick Larkin compared the online sentiment of 500 brands versus the sentiment of everyday consumers. They concluded that there was “no meaningful correlation between online and offline discussions for brands.”

Of course, this also means that brands can’t rely on “social media listening” as a proxy for broader consumer sentiment or to evaluate the complete impact of any decision or campaign … but that’s a story for another day.

In summary, AI-propelled, fake social media accounts created and amplified a national controversy, and even if some of the online discontent was genuine, it almost certainly didn’t reflect the sentiment of the company’s real customers.

“In any other crime, you can see it being committed,” Rafi Mendelsohn said, “You can see the act. But in this case, you are consuming content in your feed. You can’t grasp the big picture. You have no idea the crime is being committed, and you might be part of it.

“We’re just this passive victim, not even knowing what it is that we’re seeing, but we know it made us feel angry, or it tapped into a certain emotion, and we might even want to move on from the brand … and that’s what it’s designed to do.”

While companies like Cyabra can’t pin down IP addresses and eliminate bad actors, X can. But they won’t. Controversy of any kind drives engagement. Engagement drives advertising. In summary, hate is good for business.

“Brands can find themselves in hot water, not just because of something they’ve done, but purely by virtue of being in the wrong place at the wrong time,” Rafi said. “Fake accounts can escalate a situation to the point that it gains media attention and impacts the brand’s reputation.”

What can we do about Rage Farms?

So the only organizations that can protect us (like X and Facebook) won’t do so because it would hurt their businesses. What are our options?

In addition to Rafi from Cyabra, I solicited advice from corporate communications experts Kami Huyse and Daniel Nestle. Here is the advice:

Keep your head down.

If a controversial topic is brewing, Rage Farms are looking for anything they can grab onto in order to amplify chaos. Brands are easy targets. (Rafi)

Prepare.

If you’re launching a rebrand, product change, campaign, or major announcement — map out how it could be framed negatively. What narratives could be constructed? What emotional triggers (tradition, identity, politics) exist? (Rafi)

Monitor as if you’re NORAD.

Invest in the right listening platforms that flag anomalies and suspicious activity in real time. Spot the patterns before they explode. (Dan)

Be proactive.

It has reached a point where brands must have a bot-attack crisis plan. Even if they aren’t in a traditionally controversial company or industry. We now have a decision tree in all of our clients’ communication playbooks, from large to small. We have pre-written some messages that allow our team to quickly without waiting for multiple approvals. This allows us to identify patterns early, remove harmful content, and escalate issues when needed. (Kami)

Run crisis simulations using AI.

Create and maintain personas for all of our audiences (especially media and investors), and if we have synthetic data, even better. We can use these to role-play scenarios, test messages, and get feedback. Learn from the simulations, load pre-approved messaging, and accelerate response speed and accuracy. (Dan)

Relentlessly build trust and credibility with audiences.

This should be what we already do, but most of the time it’s just lip service. We should create experiences, invest in brand marketing,  deploy frequent and authentic executive communications, treat our employees as our most important audience. All the important stuff. We won’t stop the bots, but we can short-circuit them with a durable, believable, well-loved, and very human brand. (Dan)

Show active listening.

If a crisis hits, acknowledging legitimate concerns, showing willingness to listen and adjusting (rather than doubling down blindly) helps reduce amplification of negativity. (Kami)

Don’t engage.

AI bots comment on each other’s posts to trick algorithms into thinking there’s an authentic conversation, which then makes the malicious conversation start to appear to people who might have the same or opposite point of view, or both. Engaging with bots rarely helps and often amplifies the problem. (Kami)

Activate fans.

When bots rush in, your best defence isn’t more bots — it’s real people. Loyal customers, brand advocates, influencers who genuinely care and share. Build and mobilize this community ahead of time so that when something hits you, the “real counter-voice” is already in place. (Rafi)

Don’t treat this as a “PR problem.”

This is company-wide reputational security. (Rafi)

In this environment, every brand must assume it could be next. Preparedness is no longer optional. The networks, the bots, the narratives are waiting. The brands that win will be those who anticipate and build resilience now, not just after the storm hits.

Rage Farms: Final thoughts

Everything above is good advice.

It’s also exactly what the attackers want.

They want brands to be bland. Executives to be scared. Marketing to play it safe. Democracy to be fragile. Trust to erode.

The Cracker Barrel case is not an outlier — it’s a harbinger. This is our new, true reality, and I am concerned on three levels:

1. Great marketing is not about conformity. It is about non-conformity. Will surviving in this Rage Farm world mean that everything is vanilla now? What level of creativity is worth an attack like this?
2. Marketing has changed the world for the better by taking risks, by helping people speak up and stand out, by calling attention to societal problems and new solutions. Will that aspect of our profession wither?
3. I am deeply sad and concerned that the Rage Farm attacks focused on individual executives. These are hard-working people with families and careers, trying to do their best for a company. We all make mistakes. But nobody deserves to live in fear of physical attacks on their families because of a logo redesign.

When anonymous criminals can destroy careers over a brand re-launch, they’re not just attacking our businesses. They’re attacking our ability to speak truth and stand for something.

There is hope

Let me end this article with a ray of hope.

I’ve been around long enough to say with authority that every technological development is eventually weaponized. But we figure it out and neutralize it over time.

Regulating technology to protect our personal and business interests is a slow process. But it does happen, every time. Remember … Rage Farm attacks on our brands are a secondary concern. They are also attacking our democratic processes.

Watch the news. Countries will begin to fight back.

• A few years ago, Singapore introduced a statute that explicitly targets what it calls “false statements of fact” disseminated online, signalling a governmental willingness to treat bot campaigns and manipulated networks as more than mere marketing or PR mishaps.
• The EU requires the biggest social platforms to report and act on manipulation campaigns and bot-driven disinformation, providing a blueprint for how law can begin to counter Rage Farm attacks.
• In the U.S., law enforcement isn’t just watching. The DOJ recently announced the seizure of nearly 1,000 social media accounts tied to an AI-powered Russian bot farm that spread disinformation.

A solution is not easy or imminent, but I don’t think Rage Farms will be free to sow their chaos forever.

And remember, the best defense against synthetic rage is authentic trust, earned one customer at a time.

The Most Human Company Wins. Stay strong.

Need an inspiring keynote speaker? Mark Schaefer is the most trusted voice in marketing. Your conference guests will buzz about his insights long after your event! Mark is the author of some of the world’s bestselling marketing books, a college educator, and an advisor to many of the world’s largest brands. Contact Mark to have him bring a fun, meaningful, and memorable presentation to your company event or conference.

Follow Mark on Twitter, LinkedIn, YouTube, and Instagram

Image courtesy Mid Journey

The post Rage Farms: The Hidden Industry Weaponizing Outrage Against Brands appeared first on Schaefer Marketing Solutions: We Help Businesses {grow}.

I recently participated in a research project that gathered input from futurists on how AI will change humanity by 2030. Of course, nobody can foresee what this AI world will be like five months from now, let alone five years from now, but it was a great exercise that yielded some consensus among the experts.

But this pushed my thinking in a different way. If we are to consider how AI is changing humanity, what exactly is humanity?

If we think back to a human existence 200 or 300 years ago, a human adult would have had three primary goals: 1) don’t die, 2) find food/shelter, 3) have babies. Is that how our ancestors would have defined the meaning of humanity?

Today when we think about AI impacting “humanity,” we might reference the impact on our careers, our privacy, or our purpose in life. We might be worried about an AI impact on our schools, democracy, or relationships.

But is that humanity?

Today I want to strip away the pretense of modern life and explore what the intrusion of AI might mean to our humanity, and by extension, our businesses.

What doesn’t change?

In the early days of Amazon, Wired magazine interviewed Jeff Bezos and asked him what new technology excited him the most. Amazon was revolutionizing eCommerce, but Bezos took the interview in another direction.

“Changing technology is interesting,” he said, “but what is even more interesting is what will NOT change, because that’s how you build a business. I find it impossible to consider that in ten years our customers will want higher prices, less selection, or slower delivery. Our success comes from focusing on the factors that never change.”

His insight is even truer today as we face the future with our new AI masters. Instead of focusing on change, the most robust businesses will serve the elements of humanity that will not change.

The humanity that remains

There is certainly a lot of hyperbole around AI and its implications. But I trust the view of an insider like Satya Nadella of Microsoft when he says AI is the most profound development in history — more important than fire, electricity, or the internet.

However, just as important as the power of the change is the speed at which it occurs. The improvements are dizzying. So in this hurricane-force environment, how do you build a durable business?

Let’s take a page from the Bezos Playbook. If we strip away the pretense and pressure of the modern world, what about humanity will NEVER change? Here’s a starter list:

• SAFETY
• LOVE
• CONNECTION AND COMMUNITY
• CREATIVITY
• COMPASSION
• CONTENTMENT / PEACE
• HEALTH
• FAMILY
• SPIRITUALITY / SPIRITUAL LONGING
• CURIOSITY
• RITUAL
• AUTONOMY / FREEDOM
• HOPE

I realize this is an imperfect and incomplete list, but give this grace as a thought experiment.

If your business is serving one of these needs, you’re probably in good shape, no matter what happens with AI. Similarly, if AI were to threaten any of these characteristics, you could create a durable business by preserving these aspects of humanity.

Building a durable business

Let’s put this into practice.

What are the new threats to personal safety?

• Deep fakes
• Cyber attacks
• Attacks on the electrical grid or water system
• Hacks into credit cards and bank accounts

These threats will not disappear anytime soon. Why hasn’t somebody invented a hack-proof credit card that can only be activated by a fingerprint or iris scan? There’s a growing niche industry that provides insurance against cyber attacks. That’s smart. Likewise, sales of back-up power supplies are booming because our concern for our safety will never go away.

Let’s try another one: Curiosity

• Why not package a service where AI can make custom novels based on your interests and favorite characters?
• Open a creator hub where people could take classes in ancient arts like glassblowing or woodcraft all in one place.
• I love my app that helps me identify birds by their songs and calls. But it poses such a limit on my curiosity. Why not turn it into a network that can alert me to new bird sightings in my neighborhood or create gamified bird collection teams?

Another way to look at this is to mash up your current products with human needs to reimagine your business value.

Let’s say you own a bakery that specializes in making unique and delicious cookies. How can you position your cookies to appeal to fundamental human needs, such as love, community, creativity, health, or ritual?

You get the idea now.

Building a durable business relies on serving persistent human needs. Strip away the veneers of social performance that have accumulated for centuries and focus on the needs that never change.

This post was excerpted from my new book How AI Changes Your Customers: The Marketing Guide to Humanity’s Next Act.

I think you will enjoy this book!

Need a keynote speaker? Mark Schaefer is the most trusted voice in marketing. Your conference guests will buzz about his insights long after your event! Mark is the author of some of the world’s bestselling marketing books, a college educator, and an advisor to many of the world’s largest brands. Contact Mark to have him bring a fun, meaningful, and memorable presentation to your company event or conference.

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Illustration courtesy MidJourney

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As a marketing educator, writer, and entrepreneur, I’m obsessed with understanding the impact of AI on marketing and sales.

On the latest episode of The Marketing Companion, I was fortunate enough to speak with Sandy Carter, who has a broad global view of the new realities.

Sandy, currently leading a high-growth tech unicorn and author of the new book AI First, Human Always (yes, I had the honor of writing the forward!), brings a rare blend of hands-on leadership and futurist perspective.

You can listen to this amazing show just by clicking here:

Click here to enjoy The Marketing Companion Episode 323

And here are a few of the highlights from our talk:

From Counting Clicks to Decoding Intention

For years, marketers have focused on measuring attention, including views, clicks, impressions, and dwell time. We optimized content and spent ad dollars based on where eyeballs went, striving to interrupt or insert ourselves into the customer’s stream of consciousness.

Thanks to AI, that entire playbook is already getting upended. As Sandy pointed out, with advanced predictive tools like ChatGPT, Claude, Gemini, and Perplexity, customers are now going straight to an agent who can not only surface information but also predict their needs.

Here’s the revelation: AI moves us from being marketers of “attention” to marketers of “intention.” When someone asks an AI assistant for recommendations, they’re stating exactly what they want—think “Give me the best CRM for a startup with $X budget and these features”—and bypassing traditional marketing funnels entirely. The agent already knows how to filter, rank, and recommend based on actual needs, not just exposure or interrupted attention.

The New Gatekeepers: How (and Where) AI Picks Its Winners

Naturally, our conversation turned to the practical question on every marketer’s mind: How do you become one of the five “recommended” brands that AI agents surface? When attention alone is no longer enough to get you into the consideration set, what signals matter?

Sandy’s real-world experiments and research laid it out:

Wikipedia Is Back in Style: AI tools routinely use Wikipedia to validate and select which products or companies to recommend. If you haven’t yet built or maintained a Wikipedia page for your business (or yourself!), you’re likely invisible to these agents.

Social Proof via Reddit: Surprisingly, Reddit threads and subreddits have become an influential social signal for AI. If your brand is being discussed positively in relevant Reddit communities, you’re more likely to make the cut. But beware: unresolved issues or complaints, even from years ago, can hurt you if your brand doesn’t participate actively and transparently.

Rich, Fact-Based Content Wins: AI loves structured, fact-heavy lists and articles — “five reasons to choose X,” “top ten features of Y” — even more than traditional SEO tactics. This means your blog’s FAQ pages, listicles, and data-driven content don’t just help search engines, but are directly picked up by generative models when responding to user prompts.

Authority Still Matters: Recent research (as discussed in a past episode with Andy Crestodina) shows AI privileges brand mentions in non-sales content, press articles, and academic references — pushing the importance of classic PR and media strategy back to the top.

The message is clear: if your brand isn’t showing up in these AI “source” locations, your odds of even being considered are catastrophically reduced.

Brand: The Ultimate “Override” in the Prompt Era

Yet, despite the surge of AI-powered decision-making, our conversation reaffirmed one crucial truth: brand still matters more than ever. AI might present five options when a user states their intention — but which one do they pick?

Often, the tie-breaker remains human: a personal recommendation, a powerful story, a reputation for exceptional service. I shared the story of my own Paris trip, where a friend recommended a gluten-free bakery that didn’t make it onto AI’s list, but immediately became my top pick. That’s the “brand override, ” an emotional shortcut humans still use to filter, select, and even instruct AI agents. Sandy reinforced this with her own experiences and evidence that many enterprise buyers, even after narrowing down their options via AI, still seek out word-of-mouth or social proof before making a commitment.

Even more fascinating: How do you become the default choice mentioned in AI user prompts? (“Book my trip on Delta,” “Research this with Salesforce,” etc.) This is the new holy grail — being so well-branded that you bypass the recommendation filter altogether.

Marketing to Machines (and Machine Influencers)

This doesn’t mean we can coast on reputation. We’re at the dawn of a future where, as Sandy observed, entire teams will be dedicated to “marketing to agents,” not just to human customers. Walmart is already experimenting with this, building strategies to influence the agents (and even humanoid delivery robots!) that are quickly becoming intermediaries for everyday purchasing decisions.

Imagine a robot delivering your pizza, choosing your drink, setting your table … Who is the true “chooser” in this experience: the human or the algorithmic assistant? Will P&G start marketing dishwasher soap to the pizza robot’s parent company, or keep marketing to households? The lines are already blurring.

The Next Generation: AI as Brand Builder (and Best Friend)

There’s another layer: The next generation of buyers — raised on Roblox, TikTok, and personalized AI companions — are already developing affinities through digital worlds. Sandy’s daughter knew to ask for Adidas after encountering it in-game, not through traditional ads or family habits. In many cases, the most influential “friend” or recommender may be an AI personality.

Let’s not underestimate the psychological shift underway. As AI companions move from functional assistants to social confidantes, their product recommendations carry new emotional weight. In fact, social AI companions already outpace ChatGPT in certain engagement metrics. That’s a transformational shift in the trust landscape—one that marketers must start preparing for now.

So, Where Do We Go from Here?

We’re moving from a world of *interrupt and persuade* to one of *predict and facilitate*, with AI agents as both gatekeepers and guides. As marketers, the urgent priorities are:

• Build and maintain accessible, accurate, and richly detailed references (Wikipedia, Reddit, media hits)
• Double-down on authority and co-occurrence in natural language (not just backlinks)
• Lean into transparent, conversational engagement with your audience and communities
• Embrace the necessity of “marketing to agents,” not just customers
• Never lose sight of the human: generate enough love, trust, and loyalty for your brand that customers ask for you by name — even when AI presents alternatives.

If there’s one lesson I took from our conversation, it’s that the era of “attention as currency” is giving way to intention, and the path from intention to purchase is no longer a straight line—nor is it exclusively under human control.

Stay sharp, stay engaged, and keep your brand both technologically visible and unmistakably human.

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