Operating Storytelling: The Last Employee. The First Founder
A Story About the End of the Job and the Beginning of Everything Else
She did everything right.
Best public school in the county.
Four years at a university her parents still mention at dinner parties.
An MBA she paid off in nine years.
She climbed the ladder in the exact sequence the system promised: analyst, associate, manager, senior manager, director.
Director of Strategic Operations. $242,000 a year base.
A standing desk. A title strong enough, and brand name respected enough to leave people talking in every room she entered and exited.
She managed eleven people.
Those eleven collectively managed seventy-three.
Her team produced strategy decks, operational reviews, cross-functional alignment documents, and quarterly business updates that were forwarded to people who forwarded them to other people who never opened them.
The work felt important in the way that all corporate work feels important, it had deadlines, it had stakeholders, it had a Slack channel with 74 members.
That was 2023. The vibes were fine.
Her CEO stood on a stage at an industry conference that year and said the words that every CEO said in 2023: “AI is a tool, not a threat.”
Everyone clapped.
He believed it.
She believed it.
The analysts in the back row, who would be cut first, believed it too.
It did not happen all at once…
It happened the way debt accumulates and margins decays…slowly, then everywhere.
Wall Street, which had spent multiple lifetimes turning public companies into financial instruments, optimized for quarterly earnings, discovered something better than offshoring and better than automation: a technology that could do the work of a knowledge worker for the cost of a software subscription. A $60-a-month subscription.
The feeling that we had been doing the work computers simply couldn’t do, yet, began to appear quite prescient.
The work didn’t have to be better. It had to be good enough.
When a CFO can replace a team of eleven with three AI agents and one prompt engineer named Tyler who is 24 and makes $68,000, the decision is easy to execute.
It is, after all, their fiduciary duty.
That phrase, fiduciary duty, has replaced more humans than any technology in history.
The stock went up eleven percent the quarter her department was “restructured.” The CEO posted about it on LinkedIn about “operational efficiency” and his new love affair with the word “lean” and all things 1990s Toyota.
Lean meant that real people with real mortgages were replaced by software that hallucinates sometimes but never asks for healthcare.
Nobel laureate Daron Acemoglu calls this the “anti-worker” path of AI development, technology designed not to extend human capability but to replace it, because replacing humans is how the builders of these models intend to monetize.
GDP rises.
Wages stagnate.
Corporate profits hit records while the labor market quietly collapses underneath.
Economists have a term for this. During the British Industrial Revolution, it took fifty years of rising output and falling wages before workers saw any benefit. They called it the Engels’ Pause.
We are living through a compressed version, the same divergence between capital and labor, but squeezed into a single decade and aimed not at factory workers but at the professional class that believed education was armor.
We were wrong.
(And oh my are things about to get messy)
She applied for seventy-four jobs in one year.
The applicant tracking systems parsed her twelve years of cross-functional leadership experience as “entry level.”
A recruiter asked if she was “open to contract work,” which is a phrase that means no benefits, no security, and no guarantee that next month exists.
She watched the World Economic Forum report land like a polite bomb: ninety-two million jobs displaced by 2030.
78 million new jobs to be created for skills she had not yet acquired.
She searched for these new roles on LinkedIn.
They were not there.
What was there: a promoted post from the company that laid her off, advertising a “Director of AI Transformation” role that was, functionally, her old job described in language she no longer qualified to use.
Ford’s CEO said AI would replace “literally half of all white-collar workers.”
JPMorgan told its managers to stop hiring.
Salesforce claimed AI was already handling fifty percent of its workload.
These were confessional, not predictive.
The companies were saying, out loud, on earnings calls, that they were done pretending a multitude of labor types had value they intended to pay for.
She attended a “reskilling webinar” hosted by the same company that had let her go. The webinar was forty-five minutes. It was AI-generated. She could tell because it used the phrase “unlock your potential” three times and never once acknowledged that her potential had been unlocked for twelve years before becoming obsolete.
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The same financial system that turned companies into instruments, Wall Street’s relentless optimization of headcount, its worship of margins, its decades-long campaign to convert every human being on a payroll into a line item to be reduced, was quietly, almost accidentally, building the infrastructure for individuals to become their own economies.
Not companies in the old sense. Not LLCs with org charts and office leases. Something stranger. Something the system did not intend to create.
While Wall Street was busy making public companies inhospitable to humans, payment platforms like Stripe made it possible for a single person to accept money from anyone on earth in seconds.
Fractional equity platforms let individuals invest in assets that were once gated behind six-figure minimums.
Crypto, for all its chaos, proved that value could be stored, transferred, and programmed without a bank’s permission.
Social platforms gave a single voice the same distribution that used to require a media conglomerate. A phone camera replaced a production studio. An email list replaced a sales team. A Substack replaced a publishing house.
The rails were built. The same forces that made corporations hostile to workers made it structurally possible for workers to leave.
She was sitting at her kitchen table in month seven of unemployment when it happened. Not a revelation. Not a movie moment.
More like the moment your eyes adjust in a dark room and you realize you can see.
She was staring at the same tools that had replaced her, the AI writing assistant, the design generator, the analytics dashboard, the scheduling software, the video editor, and the arithmetic landed:
These tools did not just make her replaceable to a corporation.
They made the corporation replaceable to her.
She did not need eleven people. She did not need a VP’s approval or a $340,000 vendor platform or a cross-functional stakeholder review. She needed Substack, Stripe, a phone camera, and the accumulated expertise of a twelve-year career that no large language model actually possesses.
Expertise is judgment. It is the ability to walk into a room and know which problem is real and which one is a decoy.
No algorithm has that. Not yet. Maybe not ever. At least not for now.
Acemoglu draws the distinction clearly: AI that replaces humans versus AI that extends human capability.
The first path leads to displacement.
The second gives way to leverage, to opportunity.
She chose the second.
Because the alternative was another reskilling webinar.
Fourteen months later, she has 14,000 newsletter subscribers.
She makes more money than she ever made before.
She built a brand on the exact intersection of operations, strategy, and industry knowledge that no hiring panel could categorize and no applicant tracking system could parse.
The same breadth that made her “confusing” to corporate recruiters made her magnetic to an audience that was tired of specialists who understood one silo and generalists who understood none.
She accepts payments from nineteen countries via Stripe.
She films on her phone.
She edits with AI.
She publishes on platforms that did not exist five years ago to an audience that finds her through algorithms she does not control but also does not need permission to use.
She owns her distribution.
She owns her revenue.
She owns her time.
Nobody can restructure her. Nobody can lean her out. Nobody can send her a calendar invite with no subject line and HR on the copy.
The system that was supposed to employ her decided she was a cost to be optimized. So she optimized herself. She took the tools that eliminated her position and used them to eliminate her need for one.
She is a company of one, built on her own values, her own expertise, her own judgment, and her own voice.
She did not plan this. The economy did not plan this.
But here she is.
And here, increasingly, is everyone.
The old promise was simple: go to the best school, get the best job, work at the best company, and the institution will keep you safe.
That promise is broken.
Not bending.
Not wavering.
Broken.
The institution does not keep you safe. The institution keeps itself safe. You are a variable in someone else’s optimization function. You always were, and that’s okay.
The computers just couldn’t do the work, yet.
The fluorescent lights were on and the direct deposit hit every two weeks and the 401(k) match felt like love.
But the technology that broke the promise also broke the gate.
The same AI that made her disposable to a corporation made the corporation disposable to her. The same financial infrastructure that Wall Street built to extract value from companies is now available to individuals who want to build it.
The same internet that let a CEO post about “operational efficiency” on LinkedIn is the same internet that lets a woman with twelve years of expertise and a kitchen table reach more people in a week than her old company reached in a quarter.
The last employee is not a tragedy.
The last employee is the opportunity.
The last employee is the first founder.
And the tools have never been cheaper, the audience has never been closer, the capacity to scale has never been more within reach.
The last employee is the first founder.
We are all the first founder.
Companies are becoming tech stacks.
We are all becoming companies.
- j -
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John Brewton documents the history and future of operating companies at Operating by John Brewton. He is a graduate of Harvard University and began his career as a Phd. student in economics at the University of Chicago. After selling his family’s B2B industrial distribution company in 2021, he has been helping business owners, founders and investors optimize their operations ever since. He is the founder of 6A East Partners, a research and advisory firm asking the question: What is the future of companies? He still cringes at his early LinkedIn posts and loves making content each and everyday, despite the protestations of his beloved wife, Fabiola, at times.
Looks kike she's been following "socio normative thinking".... that's where you'll find herds of people... 😬 Many people ultimately stuggle in a society that follows a common narrative..others breakout of common thinking and do their own thing regardless of the social norms
A familiar story, the work felt busy, but the real shift was already underway.