AI Doesn't Have ROI
wheresyoured.at
June 2, 2026
39 min read
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45/100
Summary
AI investments currently lack a clear return on investment (ROI) metric. Detailed analyses of companies like NVIDIA, Anthropic, and OpenAI provide insights into the financial dynamics of the AI sector.
Key Takeaways
- Companies are struggling to justify AI spending due to the difficulty in measuring ROI and the unpredictable costs associated with AI tasks.
- Uber's COO noted that the company burned its entire annual token budget in just four months, highlighting the financial risks of AI investments.
- Microsoft’s GitHub Copilot transitioned to token-based billing, leading to customer dissatisfaction as users reported rapidly depleting their monthly credits on high-cost prompts.
- The AI industry faces a widespread issue of obfuscated costs, making it challenging for users to understand the true expense of AI services.
Coverage & discussions
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Analysis ready
Community Sentiment
Positives
- AI coding tools have significantly reduced processing times, transforming weeks of work into mere minutes, which can lead to substantial revenue gains.
- There are instances where AI has contributed to high ROI by being integrated into larger products that enhance customer metrics autonomously.
Concerns
- Companies are drastically reducing AI investments due to a lack of measurable ROI, leading to budget controls and limitations on AI usage.
- The initial excitement around AI has turned into disillusionment as costs soar and the promised efficiencies are not materializing.
