AI Psychosis, Labor Friction, and the Myth of the 10x Organization
The tech industry is experiencing a profound disconnect between executive expectations of AI productivity and the reality of the "last mile" of labor. Box founder Aaron Levie recently coined the term "AI psychosis" to describe how C-suite executives, insulated from the actual mechanics of software and knowledge work, develop delusions of grandeur after playing with simple AI prototypes. This delusion is driving aggressive organizational restructuring, such as ClickUp laying off 22% of its workforce to shift toward an organization of "AI agent runners."
At the same time, the broader workforce is asking a logical question: if AI is going to 10x our productivity, why can't we reclaim our time through a shorter work week? The resulting friction reveals a deep-seated tension between the promise of a post-scarcity utopia and the reality of corporate capital extraction.
The Core Disagreement
The debate splits between those who view AI as a path to a "Star Trek" post-scarcity future and those who see it as a tool for hyper-extraction and labor devaluation:
On the executive side, there is a belief that AI agents can completely bypass human bottlenecks:
"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" — https://techcrunch.com/2026/05/27/tech-ceos-are-apparently-suffering-from-ai-psychosis/
On the worker side, there is deep skepticism that productivity gains will ever benefit the labor force:
"If you are able to produce the same amount of work by midday Monday we expect you to increase the amount of output in the current system by 14 x." — https://news.ycombinator.com/item?id=48293320
Furthermore, the economic viability of the entire AI ecosystem is under scrutiny. While some argue that frontier labs like OpenAI and Anthropic have found enterprise product-market fit, others point out that their business models are heavily subsidized "loss-leaders" threatened by highly competitive, low-cost open-weight models like DeepSeek:
"Once the reality-based pricing comes into play, it's a coin flip of whether the bulk of the companies fail, or they get to live off government subsidies for a few decades." — https://news.ycombinator.com/item?id=48298659
"Deepseek and all the other Chinese models have open-weights. You can host them yourself, no need to send data to China or rely on them." — https://news.ycombinator.com/item?id=48301477
Why It Matters
The "AI psychosis" is not just a management quirk; it is actively shaping the labor market through preemptive layoffs and structural chaos. By assuming that AI can replace human workers before the technology is capable of handling edge cases, executives are introducing severe organizational fragility. Moreover, the economic pressure on frontier labs to justify their astronomical valuations is colliding with the commoditization of intelligence driven by open-weight models. If the market shifts toward cheap, local open-weight inference, the massive capital investments in proprietary AI infrastructure may face a historic write-down, triggering a severe correction in the tech economy.