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The Price of Intelligence: AI Agents and the Cost of Automation

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The Price of Intelligence: AI Agents and the Cost of Automation

This week OpenAI detonated a pricing bombshell, unveiling a lineup of specialized AI agents that promise to upend the economics of knowledge work. The headliner? An AI researcher with the horsepower of a PhD and the sticker price of a Lamborghini—$20,000 per month. If that’s too rich, there’s a software development assistant for $10,000 per month, or an executive knowledge worker model for a more “modest” $2,000.

With this move, OpenAI isn’t automating tasks or entry-level jobs; it’s taking aim at the high-rent district of the labor market—knowledge workers with six-figure salaries and specialized expertise. After all, the only way to justify the $240,000 cost of the PhD agent is to remove multiple senior FTEs.  

This approach poses a fundamental question: Should AI be priced like traditional software based on development and operational costs, or like talent, based on delivered value (or more precisely, the human compensation it displaces)?

OpenAI's strategy tests whether businesses will view AI not merely as technology but as an alternative workforce. If successful, the economics of intelligence may soon mirror the economics of talent rather than software—a paradigm shift for enterprise technology valuation.

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