I rant for 9 minutes about company stupidity

Highlights

• Companies are abandoning 'token maxing' programs that incentivized employees to maximize AI token usage through internal leaderboards.

• Uber exhausted its entire 2026 AI token budget in just four months due to the rapid adoption of token-intensive agentic coding workflows.

• NVIDIA executives reported that the cost of compute required for AI-driven development currently exceeds the cost of employing human developers.

• Measuring developer productivity by lines of code generated remains ineffective, even when using AI tools for code production.

• Tech leaders like Sam Altman and Dario Amodei have shifted their public stance, moving away from claims that AI will soon replace most white-collar jobs.

Timeline

1. 00:00 - 03:48

   The Failure of Token Maxing

   Corporations implemented incentives to maximize token consumption, mistakenly believing high volume output equals high productivity. This approach ignores that AI-generated code, especially spaghetti code, requires human oversight to be useful. Relying solely on AI to produce code without human review leads to a loss of control over the codebase.

   • Token maxing programs incentivize employees to mindlessly burn AI tokens to climb internal leaderboards.
   • High token usage does not correlate with better software development output or improved code quality.
   • AI is effective only when used as an assisted tool requiring human review and understanding of the code base.
2. 03:49 - 07:35

   Budget Realities and Agentic Coding

   Agentic coding, which became prominent in early 2026, involves long-running, recursive sessions that consume far more tokens than previous manual AI prompting methods. Uber's experience demonstrates that budgets calculated in 2025 failed to account for this shift. Current economics show that replacing humans with AI is not yet cost-effective.

   • Uber depleted its 2026 AI budget in four months, driven by the shift to agentic coding workflows.
   • Agentic coding models incur significantly higher token costs than standard AI interactions due to tool usage and recursive reasoning.
   • The current cost of AI compute for development tasks exceeds the cost of human employee compensation.
3. 07:36 - 11:15

   The Future of AI in Development

   The industry is beginning to recognize the limits of AI-driven automation. Instead of replacing roles, technology historically expands the scope of work. Successful development requires human empathy, nuance, and an understanding of future product requirements, which current AI models cannot replicate.

   • Amazon and Meta are among the companies scaling back on AI token leaderboards and aggressive budget allocations.
   • AI remains a useful tool for specific tasks like boilerplate generation and one-off scripts, not as a complete replacement for human developers.
   • Prominent tech CEOs have retracted prior assertions that AI would rapidly replace the majority of white-collar work.