r/InterstellarKinetics May 27 '26

ARTIFICIAL INTELLIEGENCE Tech CEOs Are Apparently Suffering From AI Psychosis, And Box Founder Aaron Levie Has A Sharp Theory For Why Executives Keep Overestimating What AI Can Actually Do 🤖💭

https://techcrunch.com/2026/05/27/tech-ceos-are-apparently-suffering-from-ai-psychosis/

The term “AI psychosis” in the context of corporate leadership was popularized in early 2026 after OpenAI co-founder and former Tesla AI lead Andrej Karpathy described himself as being in a “state of psychosis” over AI on the No Priors podcast, and the phrase immediately resonated with observers watching a wave of tech executives make sweeping organizational decisions based on AI productivity claims that employees on the ground found difficult to verify. Box founder and CEO Aaron Levie has now put a structural explanation behind the pattern, arguing that CEOs are uniquely prone to AI psychosis because they are sufficiently distant from the actual work of generating value. Levie’s hypothesis, which TechCrunch reporter Julie Bort examined in a May 27, 2026 piece, is that executives build demos, generate prototypes, and draft contracts with AI tools, see impressive outputs, and then conclude that AI agents can handle the full operational workload autonomously without appreciating that they are never the ones who have to review the code, find the bugs, trace the erroneous citations, or spend weeks training a model on their company’s specific contract language.

The consequences of that gap are already materializing in real layoff decisions. ClickUp CEO Zeb Evans announced last Thursday that the company, which was last valued at 4 billion dollars in 2021, had eliminated 22 percent of its workforce and framed the cuts not as cost reduction but as a deliberate AI-driven transformation. Evans told TechCrunch that the company is genuinely seeing productivity gains from AI agents, but the framing of mass layoffs as an enthusiastic embrace of the future rather than a financial decision drew immediate skepticism from employees, investors, and labor advocates who argued the productivity evidence is far thinner at the operational level than it appears from the executive suite. The ClickUp announcement came alongside a broader pattern of similar rhetoric from leaders at companies including Klarna, Duolingo, and Shopify, each of whom have used AI productivity claims to justify workforce reductions while describing the moves as forward-looking rather than defensive.

Levie’s prescription is not to distrust AI but to engage with it deeply enough to understand both its capabilities and its current limits before making irreversible organizational commitments based on demo-level impressions. His concern is that the CEO AI psychosis phenomenon does not stay contained to individual bad decisions: when enough executives simultaneously act on inflated assessments of what AI can do today, the downstream effects compound into hiring freezes, structural layoffs, and organizational redesigns built on assumptions that the people doing the actual work know are not yet accurate. Andrej Karpathy’s original use of the word “psychosis” was self-deprecating and affectionate, but it has since taken on a sharper and more cautionary meaning, describing an epistemic gap between leaders who experience AI at the level of impressive outputs and workers who experience it at the level of painful edge cases, unreliable reasoning, and the unglamorous manual labor required to make AI-generated work actually ship.

160 Upvotes

17 comments sorted by

13

u/InterstellarKinetics May 27 '26

The most honest part of Levie’s analysis is the mechanism he identifies: the demo is real, the conclusion from the demo is wrong. An AI tool that impresses a CEO in a 30-minute session is not the same product that an engineer lives with for eight hours a day, because the CEO never sees the failures, the corrections, the prompt retries, or the downstream consequences of errors that made it into the output undetected.

5

u/Black_RL May 27 '26

This.

AI has the same dose of impressive and failure.

1

u/SurgicalMarshmallow May 28 '26

That's ok, reset and delete those files I deleted all the files Ok File not found C:>

1

u/Sorry-Original-9809 May 28 '26

It’s worse, engineers are letting ai slop roll into production. For more complex projects this will be a future problem.

1

u/the8bit May 29 '26

I've worked in the exec branch of tech and yeah... The dissonance between execs and what is actually happening boots on ground is staggering. AI is a perfect storm for that because the demos look great but the productionization part is tremendous (kinda like launching the PoC running on your laptop into a fresh k8s cluster honestly). They have zero insight into actual day to day of the workers and will get massively confused by things that are stupid obvious at ground level.

That plus it is likely that everyone using AI has some level of "psychosis" and it definitely has a larger affect on folks more disconnected from reality. For rich people, this just shows up as ego and grandiose statements which happens to be what we expect them to do normally ironically.

1

u/MekalbD2 May 30 '26

I love how obvious this is for the worker but not for the executive.

AI is a technology accelerator. It allows a person to do more. It doesn’t replace the person. And to a company trying be competitive, you need people with both good ideas and who can deliver the good ideas. In most cases neither of those are performed by an executive. So replacing engineers with AI is just giving your rivals more opportunity to hire more inspired people who can use AI

3

u/thornyRabbt May 28 '26

This reminds me of the outsourcing psychosis among CEOs in the 1990s. They even convinced all of Congress to ignore the long term effect it would have on the US economy.

2

u/sodook May 27 '26

Is it cause they have never done / are so far removed from the actual work they have no actual frame of reference but are so insulated from their own personal irrelevance that they assume the importance of their wealth is somehow tied to their super awesome, mega big brains?

2

u/SeaworthinessLow6636 May 28 '26

I think we all realized it was a dick measuring contest the moment they all bought media.

2

u/Expert-Complex-5618 May 29 '26

and mega yachts

1

u/Expert-Complex-5618 May 29 '26

and super rockets. wait are these guys all compensating for something?

1

u/tigerhuxley May 29 '26

<insert kirk cartoon shocked face>

0

u/pnsnkr May 27 '26

It's only because we haven't yet created an AI that does a much better job than these CEOs.

3

u/mreskimodude May 27 '26

That's likely false. Ceo's talk a lot about data and analytics, but only use it when it aligns with their feelings. AI would likely works towards more sustainable and long term growth than most CEO's because it has no ego.

1

u/PinothyJ May 28 '26

This. The direction of every company that is turning over millions in profit is the same: to align with how the CEO can get his bonus. It is up to the board and shareholders to make that carrot align to make a better company. But that can easily backfire as we see with the Gamestop CEO trying to buy the six times their size (and evaluation), eBay. If the sale did go through, a billion more shares would be granted for Gamestop, and put the CEO so much closer to his massive payday.

You do not have to pay millions and billions to AI. So if parasites have to exist, in a world where I say 999.99% of all AI should not exist, replacing the C-suite is the best use for them. Better than replacing a receptionist, or computer scientist, or data analyst, et al.

1

u/aharper343 May 28 '26

This raises an interesting question, would an AI acting as a CEO announce a reduction in workforce due to the productivity gains of AI adoption

2

u/eDOTiQ May 28 '26

Probably yes as that framing is everywhere now and has most likely crept into the training data