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Here’s the question nobody in your organization is asking out loud — but everyone is quietly thinking: If I have to spell out every detail before you can do your job, why wouldn’t I just give those instructions to ChatGPT or Claude instead?
That’s no longer a hypothetical. It’s the calculation founders, executives and team leads are already making, whether they admit it or not.
I recently spoke with a CTO who walked me through his week. By the end of it, he’d spent more time assigning work than doing his own. Detailed tickets. Carefully written acceptance criteria. Annotated mockups explaining exactly what to build and how to build it.
He wasn’t managing a development team. He was writing prompts for humans. Every ticket was a prompt. Every acceptance criterion was a constraint. And once instructions become that explicit, complete and unambiguous, an uncomfortable question emerges: why does a human need to execute them at all?
An AI agent can already take that same specification, generate code, run tests and ship a build — faster, cheaper and without waiting for Monday morning. This isn’t a criticism of employees. It’s a structural shift in how work is organized.
A recent McKinsey report found that existing technologies could already automate 57% of U.S. work hours — not years from now, but today. The real question is no longer whether parts of your role are automatable. It’s whether you are the person writing the prompts or the person being replaced by one.
The prompt test
Think about the last task you delegated — or the last one you were assigned. How much context did it require? If the answer is a detailed brief, examples of good and bad output, formatting instructions, audience context, tone guidance and multiple rounds of revisions, then you’ve essentially described a prompt.
AI handles that kind of instruction exceptionally well. Faster than humans, cheaper than humans and without needing a follow-up meeting to “align on expectations.”
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