The rapid expansion of artificial intelligence into every corner of business operations has reached a critical inflection point. In 2026, companies are increasingly trimming staff to fund AI initiatives, but the architects of these decisions may lack the granular understanding needed to make them wisely. Box co-founder Aaron Levie recently described this phenomenon as "AI psychosis"—a condition where leaders overestimate AI's capabilities while underestimating the complexity of human roles.
The paradox of AI-driven layoffs
ClickUp's decision to eliminate 22% of its workforce in favor of AI agents serves as a cautionary tale. The company, which provides productivity software, justified the cuts by claiming AI could automate tasks previously handled by humans. Yet this approach overlooks a fundamental truth: those making the cuts often have the least insight into the day-to-day realities of the roles they're eliminating.
The trend extends beyond individual companies. Tech layoffs in 2026 are on pace to match or exceed the total number recorded in all of 2025, according to industry analysts. This acceleration coincides with a surge in AI adoption, suggesting a direct correlation between the two phenomena. While some dismiss these layoffs as inevitable cost-cutting, others argue they reflect a dangerous overconfidence in AI's current capabilities.
The expertise gap in AI decision-making
Levie's "AI psychosis" concept highlights a critical mismatch in corporate governance. Senior executives and board members—typically the ones approving AI-driven restructuring—frequently lack hands-on experience with the roles they're automating. Their understanding of these positions often comes from high-level briefings rather than firsthand observation, leading to flawed assumptions about what can truly be automated.
Consider the case of a customer service team. An executive might see chatbots as a way to reduce headcount, but fail to account for the nuanced problem-solving required when customers encounter unique issues. The same applies to software development, where AI tools might handle routine coding tasks but struggle with architectural decisions that require deep domain expertise.
The hidden costs of AI overreach
Beyond the immediate impact on employees, companies risk damaging their long-term competitiveness by over-relying on AI. The most successful implementations typically augment human work rather than replace it entirely. Organizations that cut too deep may find themselves struggling with:
- Reduced institutional knowledge as experienced employees depart
- Lower employee morale and engagement among remaining staff
- Increased dependence on unproven AI systems for critical operations
- Higher costs associated with training new AI tools to handle complex edge cases
The experience of ClickUp and similar companies demonstrates that AI's primary value often lies in enhancing productivity rather than eliminating jobs. Teams that successfully integrate AI typically see modest productivity gains of 10-30%, not the order-of-magnitude improvements some executives expect.
A smarter approach to AI adoption
Rather than viewing AI as a silver bullet for cost reduction, forward-thinking companies are adopting a more measured strategy. This involves:
- Conducting detailed workflow analyses to identify true automation opportunities
- Implementing AI tools in pilot programs with clear success metrics
- Maintaining human oversight in decision-making processes
- Investing in upskilling programs for employees whose roles are evolving
The most effective AI transformations occur when technology serves as a collaborator rather than a replacement. Companies that recognize this—from tech giants to traditional enterprises—are positioning themselves to thrive in an AI-enhanced future, while those that prioritize automation at all costs risk undermining their own foundations.
AI summary
AI teknolojisine aşırı güvenmek şirketler için ciddi riskler oluşturabilir. AI psikozu nedir, nasıl önlenir ve dengeli AI stratejileri için ipuçları.
