Tech CEOs face ‘AI psychosis’ as market backlash intensifies

Box founder Aaron Levie has ignited a debate within the technology sector by characterising senior executives as “uniquely prone to AI psychosis.” In a recent social media post, Levie argued that leaders are often distant from the “last mile” of work required to generate genuine value from artificial intelligence, leading to strategic misjudgements. This sentiment was further explored on the latest episode of TechCrunch’s Equity podcast, where hosts Kirsten Korosec, Sean O’Kane, and Anthony Ha examined the widening gap between corporate AI ambitions and user reception.

The discussion highlighted a palpable cultural shift, evidenced by graduating students booing mentions of AI at ceremonies and a reported 30 per cent surge in installs for privacy-focused search engine DuckDuckGo. This spike occurred following Google’s announcement of enhanced AI integration into its search products, suggesting a significant portion of the user base is actively rejecting the current trajectory of algorithmic commercialisation.

Korosec noted that Google faces a strategic dilemma, attempting to chase AI-driven commercial transactions while risking its core brand identity as a neutral information retrieval system. The hosts observed that while Google’s leadership focuses on shopping and booking features, the company struggles with fundamental reliability, citing instances where its own models have failed to correctly spell its name. This vagueness contrasts with competitors like Anthropic, which the hosts described as adopting a more focused utility-driven approach.

The conversation also extended to workforce dynamics, revealing a divergence in adoption rates across industries. While the software sector experiences rapid change and layoffs driven by executive optimism about productivity gains, physical industries such as robotics and manufacturing are integrating AI more slowly. Mind Robotics, a spin-out from Rivian, was cited as an example of AI application in physical infrastructure, though the hosts noted that the software sector remains the primary driver of current workforce disruption.

Levie’s critique suggests that the belief in AI-driven efficiency is often top-down, embraced by executives and venture capitalists rather than validated by end-users. The hosts concluded that while AI remains polarising, with users simultaneously utilising and rejecting the technology, the current backlash indicates a need for leaders to engage directly with the practical realities of implementation rather than relying on abstract projections of efficiency.