FIELD NOTES · HUMAN + AI
I am going to earn your trust the uncomfortable way: with a confession.
At a major carrier I designed an autonomic operations platform that automated the full design, build, deploy, operate, and optimize lifecycle across cloud, compute, network, storage, and security. The platform reduced a workload that used to require 400 full time people down to 12.
So when someone asks me, "Will AI take my job?" I do not get to hide behind a consultant's shrug. I have been on the side of the equation that does the taking. Here is what that seat taught me in plain terms.
The platform did not eliminate 400 people. It eliminated 400 people's worth of repetitive workload. The ticket triage, the config pushes, the swivel chair work between systems that do not talk — that volume went away.
The people split into three groups.
Group one moved up the stack. They became the 12. They supervised the automation, handled exceptions, and did the judgment work machines cannot.
Group two moved laterally. They filled roles that had been starved for staff.
Group three kept defining themselves by the repetitive tasks. They struggled to find a new place.
Every professional is making one decision right now, whether consciously or by default.
Am I the person who operates the automation, or the person whose tasks define me?
Choose operator and AI becomes a force multiplier. One operator with a stack of AI agents produces the output of a department. I run my company this way. The agents draft, monitor, and route around the clock. I command, approve, and handle what requires a human. That is not the future. That is my Tuesday.
Choose task identity and the math is against you. Repetitive, high volume work is exactly what AI eats first. Companies buy automation every week for precisely the roles nobody can hire for anymore.
Three things are true at the same time.
Cybersecurity alone is short roughly half a million U.S. workers. Employers cannot staff repetitive operational roles at any rational wage. The tooling to become an AI operator has never been cheaper or faster to learn — weeks, not degrees.
That combination means demand is not for fewer humans. It is for differently leveraged humans. The scarce resource in every organization I advise is not AI. It is people who can direct it with judgment, domain knowledge, and accountability. Those people are being minted right now, mostly from mid career professionals and veterans who decide to cross the line from task doer to operator.
This is practical, not philosophical. Here are the steps that work.
One engineer on my team automated a routine audit that used to take a week. The automation ran nightly. The engineer spent the saved time building exception handling and a governance dashboard. Six months later the engineer was promoted to lead the automation program. The automation did not remove the engineer. It created a role the engineer could own.
Stop treating AI as a threat you must outwork. Stop hiding behind the idea that your role is too human to automate. Stop assuming the only path is to become more of the same.
Start treating AI as a tool you operate. Start building evidence that you can direct it. Start showing the outcomes.
If you are ready to make the choice deliberately instead of by default, start by finding your path. The operator is already in you. The terrain can be learned.
— Jeremiah Ginn
Cross the line
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