LinkedIn Is Ground Zero for the AI Temper Tantrum

Bashing AI is not just venting... It's a visibility ploy.

The LinkedIn AI backlash is real, it is loud, and it is largely being written and fueled by AI. The irony is richer than anything I could invent.

When you marry widespread and sustained public angst with influencer creators on a social network, you get a tsunami of content serving that topic. Some of that content is well-crafted and has strong points, but eventually it becomes a nonstop stream of the same complaints, with little to differentiate one post from the next.

So it is with the LinkedIn AI temper tantrum we are all suffering in the stream every time we log in. Will it be impactful, though?

First, before diving in, how paradoxical is the whole LinkedIn AI hatefest?

1. We are literally getting sourced AI angst by an AI algorithm that prioritizes content based on likelihood to create engagement. How Meta (pun intended).

2. Many of the AI-hate posts shared by influencers are drafted by AI. Truth! They have all the telltale signs: em dashes, binary juxtaposition arguments, single-line sentences, short, staccato tones, metronome tones, etc. As a side note, that’s because influencers really don’t care. They just want visibility, and this is their latest ploy. Believe me, they’ll be on to the next trend before you know it.

3. No one offers a different solution other than the human-run AI platitude. It’s slacktivism at its best. Like my hate, and do nothing new.

The temper tantrum is absolutely rich. I’m laughing, really, because candidly I don’t think it does much more than give people a venue to vent and commiserate.

AI is not going away no matter how many more negative posts are posted. That said, there are three notable trends that should impact the broader AI adoption curve.

One is the failed marketing effort by AI tech companies and large corporations eager to cut overhead. Their approaches and resulting Machiavellian treatment of people have inspired one of the worst business backlashes I have seen in my lifetime.

The second is that CEOs and other executives have bought into the hype and are delusional about what it takes to implement AI. Finally, the third related trend is that employee backlash against AI is widespread. Executive teams can no longer evade the demands of AI adoption by buying a license for everyone and praying it sticks. Real change management and transformation plans will be required.

1) Marketing AI Technology Must Get Better

When you market a technology’s ability to replace people, humans aren’t going to receive that message well. We’re talking about a base-level need, the means to pay for life, from food to housing. Of course, people are going to get upset, and what better place to voice angst about corporate AI than LinkedIn?

More than 50% of Americans have a negative view of AI. And they are clear about that on and offline.

I am not sure what OpenAI, Anthropic, and other players were thinking would happen. But between these gaffes and a generalized, overhyped approach to touting AI algorithms and platform superpowers without understanding customer needs or how companies need to approach implementation, there have been massive waves of disappointment. Never mind the incredibly negative impacts on the environment and power grid.

Worse, AI executives are admitting that they overshot with their dramatic claims. Just this week, OpenAI CEO Sam Altman told CNBC, “I underestimated how jagged these models are going to be. They do some things incredibly well, but they don’t do kind of the long-term, complex task supervision well at all.”

Ooopsy.

2) Executive Failures

CEOs have handed off AI to role players, claimed a “strategy” and moved on to the next best thing. According to TechCrunch, this is called AI psychosis, where “tech executives, especially CEOs, are collectively suffering from delusions of AI grandeur. “

“CEOs are uniquely prone to AI psychosis because they’re sufficiently distant from the last mile of work that still has to happen to generate most value with AI,” said Box CEO Aaron Levie on X. In some cases, executives have used AI as an excuse to lay off thousands while claiming modernization. It should be noted that Wall Street has seen through this ruse.

While CEOs are rightly getting their fair share of blame for failed adoption, the marketing hype has not helped. It’s led companies to believe that a universal seat license for their employees would be enough.

AI consulting companies have promised AI would work without internal champions or real change management plans. Neither consultants nor tech cos have prioritized the necessary use case development, internal process mapping, and cultural cultivation necessary for success.

That was too boring in 2023. Much better to push hype for headlines, I suppose. AI is transformative, but it takes a lot of work to get there. We know this, and we’ve known it for some time, and yet, none of it is appealing enough for the true motive of the marketing. It was about Wall Street and valuations. Hello, crazy IPO market.

Well, hype works until it doesn’t. And you can see the resistance to the technology is growing beyond desirability. Brands have no customer loyalty because no one trusts them. It’s been one PR gaffe after another. Soon, at this rate AI will be such a muddy term that Silicon Valley will be forced to use a new term to sell its algorithmic software.

Will we be destined to repeat the same mistakes? Not if the marketing improves. It must improve if tech companies want to see an improved public attitude about AI technologies.

Executive Teams Need to Get Serious

Capitalism has not been kind in recent years, and nowhere is that more evident than the giddy AI layoff trend. Without litigating the ills of Corporate America, one thing the negativity on LinkedIn clearly communicates is frustration, not just with technology but with the companies implementing it.

One of the most interesting AI studies to come out this year found that workers are so uneasy about AI that they are sabotaging it at work. One third of all employees and almost one half of Gen Zers are doing what they can to prevent AI’s success inside their enterprises.

Too many executives are demanding AI adoption without understanding how to use the technology, let alone its implications for the transformation of traditional cultures. Perhaps this is another manifestation of AI psychosis.

Whether it’s reimagining how their cultures are working together or providing the training and support staff need to ease adoption, executives have been unwilling to invest the resources needed to make AI work well. Instead, 60% of executives promise to lay off employees who refuse to adopt AI.

Employees are clearly disgruntled by the threat of losing jobs because of no AI skills, combined with no training or adoption programs of substance. Employers would be wise to reconsider their stance and consider how hard they want this technology adoption process to be. They, too, have employer brands to consider. Sadly, perhaps they are banking on a glut of available talent, thanks to the AI job apocalypse that seems to affect only public tech companies.

And What About the LinkedIn Stream?

My third prediction for technology in 2026 was a drop in social networking engagement. And if a social network is toxic, filled with complaints, and one-sided, clickbait-ridden content, sooner or later, people tune out.

LinkedIn, oddly enough, seems to have the highest engagement across platforms, as illustrated by Buffer’s 2025 engagement study. I wonder how long that will last if the temper tantrum continues to consume the feed. Many are complaining about the noise already.

Will it torch the network, or is an algorithm change ahead? My bet is that it does not torch the network. People feel (wrongly) heard individually when they complain on social networks. In the aggregate?

If the LinkedIn stream will not kill AI adoption, it is a signal executives would be foolish to ignore. Perhaps the cacophony will be enough to make some executives realize maybe we need to do more. And that is good.

The volume tells you something true: People feel unheard, undertrained, and expendable. That is a workforce problem before it is a technology problem. The companies that treat it that way will have a much easier time with the next decade than the ones waiting for the noise to die down.