CEOs are quietly realizing the AI replacement plan has a problem.
Two problems, actually.
One: the token costs for running AI agents are now exceeding what they were paying the employees they fired.
Two: when the tokens run out, the AI stops. Just stops. No continuity. No workaround. Just a spinning wheel where your workforce used to be.
You fired humans to save money and bought a subscription that bills you into a corner.
The employees you let go knew what to do when things broke.
The AI just invoices you for the outage.
And then there’s the permission problem nobody wants to talk about.
To do its job, the AI agent needs access. Full access. Your systems, your patents, your contracts, your future plans. Everything you spent years building, handed over to a process that has no loyalty, no discretion, and no skin in the game.
You didn’t hire a replacement.
You gave a stranger with no soul the keys to everything you own.
Enjoy.
@GergelyOrosz Token maxxing is ridiculous. Companied traditionally want to cut cost and save more, why would any serious company or startup encourage token maxxing which is directly proportional to increase in token cost.
@GergelyOrosz This was the situation I inherited in late 2025: a dev(who is leaving) used an LLM to build an internal tool in isolation. It worked, but a simple system became an overly bloated project because there were zero discussions around architecture, scalability, or tech stack decisions
Haven't used https://t.co/Ry9OCefhvq in the browser in over a month. I am mostly a VSCode user who uses copilot model options. Today, I opened https://t.co/tGMCc8QWQy at 9:11am EST, asked a single question, by 9:32am EST i was already told i had hit my 5hrs messaging limit. Wild