AI Doesn't Have ROI
4 hours ago
- #ROI criticism
- #tech skepticism
- #AI bubble
- The author promotes a premium newsletter offering extensive analyses on AI companies and financial trends for $70 annually.
- Recent reports indicate companies are struggling to justify AI spending due to difficulties measuring ROI and unexpected high costs, with examples including Uber and a firm spending $500 million accidentally.
- Microsoft's GitHub Copilot shifted to token-based billing, causing customer frustration as hidden costs led to rapid credit depletion, highlighting industry-wide obfuscation of AI expenses.
- AI subscription models often hide true costs through subsidies and vague rate limits, making users unaware of actual token usage, with companies like Anthropic and OpenAI misleading on profitability.
- AI costs are increasing despite promises of affordability, with token-based billing revealing unsustainable expenses, leading enterprises like Walmart and Amazon to impose limits on AI usage.
- The AI bubble is compared unfavorably to the Dot Com Bubble, arguing AI lacks useful infrastructure and redemption potential, with data centers being costly and impractical for other uses.
- Criticism of AI's ROI emphasizes that measurable economic impacts are absent, with studies showing vague or non-existent returns, and job loss claims being largely unsubstantiated.
- The author asserts that AI's value is inflated by hype and misinformation, with LLMs being unreliable and often requiring more work to manage, labeling enthusiastic adopters as victims of a con.
- Sam Altman's vague responses to ROI concerns exemplify industry evasion, while media complicity avoids challenging AI narratives, perpetuating the bubble.
- Conclusion: AI lacks tangible ROI, relies on subsidies and deception, and fails to deliver promised efficiencies, with calls for skepticism and critical evaluation of its true costs and capabilities.