I remember sitting in a pitch meeting three years ago where a founder boasted about their “revolutionary AI” that would “fix burnout in hours.” The deck was sleek-charts of 98% “engagement lift,” screenshots of a chatbot “magically” scheduling meetings. The investors ate it up. Six months later, the startup folded, and 80% of its 200 employees lost their jobs-not because the AI was flawed, but because no one had asked: *whose lives was this supposed to improve?* That’s the cruel irony of the AI profit frenzy: it doesn’t just ignore human needs-it weaponizes them as bait.
AI profit frenzy: When AI’s hype outpaces its purpose
The AI profit frenzy isn’t about solving problems. It’s about solving *wallets*. Take CalmAI, a 2024 darling that raised $150 million to turn meditation apps into “AI-driven stress elimination platforms.” Their early data was intriguing: users reported “30% lower cortisol” after three weeks. But here’s the catch: the “AI” was just a repackaged sleep-tracking algorithm, and the “lower cortisol” came from 90-minute guided sessions-*paid sessions* where users were billed for every minute over 10. The real “innovation” was a subscription model disguised as therapy. Practitioners I’ve worked with call this “attention arbitrage”-companies profit by selling the illusion of progress while users chase the next “breakthrough” that never delivers.
The three red flags of AI gimmicks
Most AI-driven hype follows a predictable script. Here’s how to spot it:
- Vague outcomes without verification: Claims like “AI that ‘transforms’ workflows” with no independent studies, just CEO testimonials from a single demo day.
- Features that feel like checkmarks: “Real-time insights” that are just repurposed spreadsheets, or “personalization” that’s really just a one-size-fits-none template.
- Growth over goodness: Teams that prioritize “month-over-month user retention” metrics over whether the tool *works*-like a fitness app that tracks steps but doesn’t teach nutrition.
The AI profit frenzy thrives when founders treat “scaling” as an end in itself, not a means. I’ve seen startups fire 40% of their R&D team after a $30M round because the board demanded “AI features” instead of refining the core product. The result? A bloated tool no one actually uses, but another VC story to greenlight the next round.
What happens when profit wins
The damage of the AI profit frenzy isn’t just financial-it’s systemic. Here’s what’s really lost:
- Trust in technology: Every time an AI tool fails quietly (like the “predictive policing” software that falsely flagged Black neighborhoods) or extracts personal data under false pretenses (hello, Theranos), we normalize treating humans as inputs in an algorithm.
- Real-world impact: Doctors using AI chatbots to diagnose patients get bad news-studies show these tools reduce diagnostic accuracy by 12% because they’re trained on *clickbait* datasets, not real medical records.
- A culture of exploitation: Companies like TaskifyAI (shut down in 2025) promised “AI-powered micro-jobs” but paid gig workers pennies for tasks like “labeling X-ray images”-only to outsource those tasks to offshore centers once the “AI” was “trained.”
Practitioners in health tech tell me the AI profit frenzy has accelerated a dangerous trend: algorithmic paternalism. Apps that “nudge” users toward healthier habits often do so by gamifying deficiencies-like a weight-loss tracker that shames you for “poor compliance” instead of offering tools to succeed. The frenzy doesn’t just ignore human well-being; it replaces empathy with engagement metrics.
Here’s the thing: the AI profit frenzy isn’t going anywhere. But the rare companies that resist it-like Notion’s AI integrations, which started as a *real* need for note-taking, not a pitch for “the next Slack”-prove the alternative exists. The key isn’t to curb the frenzy, but to demand it serves something beyond quarterly growth. The question isn’t whether AI will make money. It’s whether it’ll make lives worth living.
