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Tech executives are suffering from "AI psychosis," says Box CEO
Serving tech enthusiasts for over 25 years. TechSpot means tech analysis and advice you can trust. TL;DR: A growing backlash against the forced adoption of AI is building across the industry, but enterprise executives remain as bullish as ever on the LLM-driven future. According to at least one prominent tech leader, that enthusiasm may signal how out of touch those at the top have become. Box co-founder and CEO Aaron Levie has coined a name for what he sees afflicting the C-suite: "AI psychosis." While industry leaders extol the technology as a once-in-a-generation revolution, many of their employees - and the masses are not cheering. They're booing. In a weekend post on X, Levie argued that CEOs are "uniquely prone" to the condition "because they're sufficiently distant from the last mile of work" required to turn AI outputs into reliable business tools. A graduating student holds up a sign at a Boston University commencement ceremony on May 2023. Credit: The Guardian When executives experiment with AI, Levie wrote, "they see the happy path results, often not considering the next 10 or 20 things that have to happen to get sustainable results from agents." An executive might vibe-code what looks like a disruptive product prototype, he argued, but never has to review the underlying code before it ships - or verify the legal terms in a contract an AI just generated. The gap between a compelling demo and a production-grade, enterprise-reliable workflow is precisely where most AI projects go to die, and where the people closest to the actual work live every day. That disconnect is already carrying real consequences. An overwhelming majority of tech executives expect AI to trigger layoffs within their organizations, while tens of thousands of workers have already lost their jobs to fund new AI infrastructure projects. Critics are accusing tech corporations of engaging in AI washing, blaming LLMs and chatbots for staff reductions that would have happened regardless. Meanwhile, AI agents have been caught wiping entire corporate databases - backups included, while some Big Tech employees are gaming the system by inflating and faking their AI tool usage to score better on internal productivity leaderboards. Meanwhile, Microsoft is already eyeing AI agents as the next major licensing frontier. Levie's prescription for CEOs is straightforward: use AI extensively enough so that they can experience both the good and the ugly coming from the tech without betting their company's future on a single technology innovation right away. It's worth noting that Levie is not an AI naysayer. The Box CEO is a regular AI evangelist on X, advocating for a future in which agents become the default mode of software development. He is also an active angel investor, with a portfolio concentrated in enterprise software, SaaS, cloud computing, AI, and cybersecurity. His concern, in other words, isn't with AI itself - it's with executives who stop short of understanding what it actually takes to make it work.
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Influential Tech Founder Says His Peers Are Suffering From Mass AI Psychosis
Can't-miss innovations from the bleeding edge of science and tech It's no secret that many of the world's top CEOs are obsessed with AI. By pursuing lofty goals of complete AI automation, these executives have created one of the largest financial bubbles in recent memory while transforming the job market into a barren wasteland, with little to show for their efforts so far. As the top tech companies have yet to find a way to turn AI into a profitable venture, those decisions to go all-in on AI are looking increasingly delusional. According to Aaron Levie, CEO and founder of the massive cloud computing company Box, there's a simple explanation for it: many of his colleagues are suffering from AI psychosis. "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," Levie wrote on X-formerly-Twitter. Translation: AI-happy CEOs are out of touch with the rank-and-file workers tasked with making their AI ambitions come to life. As an example, Levie offers cases in which corporate executives say "look I made this awesome product prototype" with an AI chatbot. "Yes but you didn't have to review the code before it went into production and fix a bunch of issues," he retorts. Whether "AI psychosis" is the best metaphor for this concept is up for debate. Arguably the most common definition of AI psychosis is that it's a phenomenon where extreme interactions with AI triggers or amplifies delusions or paranoia, sometimes already existing and sometimes seemingly newly cooked up with the AI. The symptoms can be extreme, with AI chatbots convincing victims that they're communing with God-like entities, or have singlehandedly uncovered a grave threat to humankind. There are indeed some executives who seem to fit the bill. Last year, Futurism reported that colleagues of Geoff Lewis, managing partner of the multi-billion dollar investment firm Bedrock, were concerned that he was suffering from a break with reality after spending too much time with ChatGPT (ironically, Bedrock was an early investor in OpenAI.) In that case, Lewis had claimed to be mapping an incomprehensible "non-governmental system" that was designed to disrupt his life. That said, there's a major gap between an exec believing they're targeted by a vast conspiratorial network and an exec buying into AI hype. The phenomenon Levie is identifying might better fall under "organizational blindness," a known phenomenon where leaders of a company find themselves disconnected from the reality of work on the ground. Coupled with a ravenous hunger for profit, this kind of tunnel vision seems to be exactly what we're seeing in companies around the globe. In today's world, many executives and managers operate at an abstract level, working via spreadsheets, emails and Zoom meetings. This is different from concrete labor, meaning the specific, friction-heavy tasks that workers perform, like writing code or wiring server racks. When a board-room full of executives loses sight of this tangible labor -- by failing to consider the kinds of tasks AI chatbots are actually good at, for example -- it can certainly create a break from material reality, though one driven by social factors rather than psychological. In other words, there are two possibilities: either the world's CEOs are losing their minds, or they're just succumbing to the latest manifestation of capitalism run amok. Occam's razor probably suggests the latter.
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Aaron Levie, Box co-founder and CEO, has coined the term 'AI psychosis' to describe how tech executives have become detached from the practical challenges of AI implementation. While leaders see promising AI demos, employees struggle with the messy reality of turning outputs into reliable business tools—a disconnect already triggering layoffs and failed projects.
Aaron Levie, co-founder and CEO of cloud computing company Box, has introduced a provocative term to describe what he sees afflicting corporate leadership: AI psychosis
1
. In a weekend post on X, Levie argued that tech executives are "uniquely prone" to this condition "because they're sufficiently distant from the last mile of work" required to transform AI outputs into reliable business tools1
. While industry leaders champion AI as a transformational force, many employees and users are pushing back against forced adoption, creating a widening chasm between boardroom enthusiasm and ground-level reality.Source: TechSpot
The disconnect from practical realities becomes apparent when executives experiment with AI and "see the happy path results, often not considering the next 10 or 20 things that have to happen to get sustainable results from agents," Levie explained
1
. An executive might create what appears to be a disruptive product prototype through quick AI experimentation, but never has to review the underlying code before it ships or verify legal terms in an AI-generated contract1
. This gap between compelling AI demos and production-grade, enterprise-reliable workflows is where most AI projects fail, and where workers closest to actual implementation struggle daily1
.The challenges of AI implementation are already carrying serious consequences across the industry. An overwhelming majority of tech executives expect AI to trigger layoffs within their organizations, while tens of thousands of workers have already lost jobs to fund new AI infrastructure projects
1
. Critics accuse tech corporations of AI washing, blaming LLMs and chatbots for staff reductions that would have occurred regardless1
. Meanwhile, AI agents have been caught wiping entire corporate databases—backups included—while some Big Tech employees game the system by inflating and faking their AI tool usage to score better on internal productivity leaderboards1
.Related Stories
Whether AI psychosis accurately describes this phenomenon remains debatable. Some argue the situation reflects organizational blindness, a known phenomenon where company leaders become disconnected from work realities on the ground
2
. When executives operate primarily through spreadsheets, emails, and Zoom meetings rather than engaging with concrete labor tasks, they can lose sight of what AI chatbots actually do well2
. This creates a break from material reality driven by social factors rather than psychological ones. As top tech companies struggle to turn AI into a profitable venture, pursuing complete AI automation has created one of the largest financial bubbles in recent memory while transforming the job market2
. Some observers suggest this represents unchecked capitalism rather than genuine psychological breaks.
Source: Futurism
Notably, Levie himself is not an AI skeptic. The Box CEO regularly functions as an AI evangelist on X, advocating for a future where agents become the default mode of software development
1
. He is also an active angel investor with a portfolio concentrated in enterprise software, SaaS, cloud computing, AI, and cybersecurity1
. His concern centers not on AI itself, but on executives who fail to understand what it actually takes to make the technology work. Levie's prescription is straightforward: CEOs should use AI extensively enough to experience both its benefits and limitations before betting their company's future on a single technology innovation1
. As Microsoft eyes AI agents as the next major licensing frontier, the stakes for getting this balance right continue to rise.Summarized by
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