When Companies Bet Too Hard on AI—And What Small Business Owners Should Learn
When Companies Go All-In on AI, They Often Miss What Actually Works
Box founder Aaron Levie recently described a troubling pattern: executives cutting jobs for AI agents without understanding what those jobs actually entail. He calls it "AI psychosis"—when companies become so convinced that artificial intelligence can replace human workers that they skip the hard work of learning what employees really do. ClickUp, a productivity software company, laid off 22% of its workforce to deploy AI agents, becoming the latest example of this rushed approach.
For small business owners, this matters because it reveals a dangerous blind spot in how larger companies approach AI adoption. The people making these decisions—often executives far removed from daily operations—are betting that AI can do complex work without fully understanding the nuances involved. When these decisions go wrong, it creates cautionary tales about implementing technology without a real plan.
The real risk for your business isn't that AI is useless. It's that AI agents are becoming central to how business works, but many companies are deploying them recklessly. Before you invest in AI tools for your team, ask harder questions: What specific problem are we solving? Who currently handles this work, and what would we actually lose if we removed them? Can AI handle the edge cases and judgment calls that make the difference?
The lesson isn't "don't use AI." It's "understand your work before you automate it." Companies that treat AI as magic—a simple replacement for people—often end up with gaps in service, unhappy customers, and wasted investment. Companies that treat it as a tool that augments human work tend to see real results.
What to watch: Pay attention to how companies evaluate AI implementation over the next 12 months. The ones that keep iterating and listening to frontline staff will likely outperform those that made one big bet on full automation.
```