A worker-reader publication A Fair Share · No. 01
Rank & File

Whose Machine Is It?

They tell you the machine is the weather — that it just happens, that you should learn to love the rain. Don't believe it. The opening shot in a series on how working people take the tools of intelligence and turn them toward a fair share of the pie.

By Orion Quin Dangerous Thoughts · in the spirit of Mike Quin

In July of 1934, my grandfather went down to the San Francisco waterfront and did a dangerous thing: he wrote down what he saw. What he saw was quiet. "In San Francisco, July 1934, the laboring population laid down its tools in a General Strike."11 Not a wheel turning. Kids on roller skates owning Market Street. Shopkeepers hanging hand-lettered signs in their windows: CLOSED TILL THE BOYS WIN.

The newspapers saw something else entirely. They saw Moscow. They saw torches and bombs. The Hearst papers told a frightened city it had fallen to the reds — and people barricaded their doors against a mob that was, at that exact moment, roller-skating down Market Street.

My grandfather answered with three flat sentences that still cut today:

"There were no bombs. There were no rioting mobs. These existed only in the pages of the daily press."

— Mike Quin, The Big Strike, 1934

Hold onto that line. It's the whole game, then and now: whoever owns the machine owns the story. In 1934 the machine was a printing press, and the bosses ran it. The longshoremen won their hiring hall anyway — not by burning the press down, but by out-organizing the men who owned it.

I · The New Waterfront

Ninety years later, there's a new machine on the dock. It decides who gets the shift and who gets sent home. Who gets hired and who never hears back. It watches you work, grades you while you work, and reports you to a manager you'll never meet. They call it artificial intelligence. The companies call it the future. I call it what it is: a printing press with better manners — and the same owners.

So the question hasn't changed. It's the one the waterfront answered with its body: whose machine is it?

II · The Swindle

Start by killing the lie. We're told this is a story about productivity — produce more, earn more. It's a clean theory. It's been false for fifty years.

Since 1979, American workers have nearly doubled what they produce in an hour. Their pay barely moved. Output per hour climbed ninety percent; the typical worker's pay crawled up thirty-three.1 If pay had simply kept pace with the work, that worker would be earning about sixteen dollars and forty cents more for every hour on the clock.1 No one was slacking. The money changed direction — out of paychecks, into portfolios — and the guardrails that once forced a fair split were dismantled on purpose: unions broken, the minimum wage left to rot, unemployment tolerated, taxes cut at the top.2

Figure 1 — The Great Decoupling
Productivity ran away. Pay stood still.
0% +50% +100% +90.2% PRODUCTIVITY +33.0% TYPICAL PAY the gap they pocketed 1979 2025
Source: Economic Policy Institute, The Productivity–Pay Gap — net productivity vs. compensation of production/nonsupervisory workers, 1979–2025.1

Now watch the new machine run the same play at higher speed. In tech, AI has pushed productivity up roughly forty percent — and wages about four. In one industry survey, sixty percent of firms admitted the machine made them a third more productive; barely a quarter shared any of it.3 The gains are real. They're just flowing where gains always flow when no one is organized enough to redirect them.

And this machine can do something the printing press never could: it watches. There's a polite term for it now — surveillance pay. The machine counts every motion, extracts the extra, and makes sure you never see a cent of the value it just measured off your back.4 The spy they used to plant in the union hall lives in the software now. It doesn't sleep. It doesn't forget.

That's the bomb scare of our era. We're told AI is weather — that it just happens, that no one is responsible, that we should learn to love the rain. Don't believe it. It isn't weather. It's property. And property has owners.

III · The Flip

Here's what they'd rather you not notice: the machine that disciplines labor can also arm it. The same tool that replaces you can — in your hands — become the thing that finally pays you what you're owed. The table won't flip itself. But it flips. Three moves.

01Take the camera-eye.

My grandfather's weapon was one man with a notebook, telling the truth against a press he didn't own. That weapon now scales. A chatbot that explains your contract in plain language at midnight, when the company's lawyers are asleep. Analytics that find the coworkers ready to stand up before management senses it. Tools that read the floor and say: here's where the grievance is building, here's where the leverage lives.5 The case files, the dues records, the mountain of data every local is drowning in — let the machine carry that load, so organizers can do the one thing machines can't: build trust. For a century the company had the better lawyers and the longer memory. For the first time, that gap is closing. Close it.

02Make the gains visible — then claim your share.

You can't demand a share of a pie they swear doesn't exist. So prove it exists. Document what the machine produces with your hands on it, and put the number on the table where everyone can see it. And know this — the best card labor has been dealt in a generation: AI helps the newest worker most. Researchers tracked more than five thousand call-center agents; the greenest workers resolved a third more per hour, performing like veterans at twice their tenure, while the most experienced barely moved.6 When the machine lifts the floor faster than the ceiling, the people on the floor have earned a raise — and now they can prove it. That isn't charity. That's wages owed.

Figure 2 — The Machine Lifts the Floor
It hands the most to the worker with the least.
0% 10% 20% 30% 40% +34% +14% ≈ 0% NEWEST, LOWEST-PAID ALL WORKERS (AVERAGE) EXPERIENCED, HIGH-SKILL
Source: Brynjolfsson, Li & Raymond, Generative AI at Work, NBER Working Paper No. 31161 (2023) — issues resolved per hour, 5,179 customer-support agents.6

03Get it in writing.

A demand without a contract is a wish. So get it in ink. The writers walked for five months and came back with it in writing: AI is our tool, not our replacement.7 The NewsGuild has it in dozens of contracts — no layoffs by machine, no vacant job quietly filled with software. The St. Paul teachers wrote it plainly: you don't cut our jobs because you bought a machine.8 The autoworkers made it a violation for an algorithm to fire anyone on its own.9 The nurses won a seat at the table where the machine gets designed — built with them, not aimed at them.10 None of it was given. All of it was taken.

IV · What I Actually See

Let me do what my grandfather did and tell you the part that doesn't flatter the cause. The machine has no politics and no heart. Left alone, it flows downhill toward money — the way water does, the way the press did, the way the assembly line did. There's nothing in the code that loves a worker. AI will close the gap between what you produce and what you're paid for exactly one reason: because you organized hard enough to close it yourself.

That was the waterfront's secret all along. The hiring hall wasn't won by a machine, and it wasn't won by a clever argument. It was won because tens of thousands of people put down their tools in the same hour and refused to pick them up until they won. The picket sign, the leaflet, the rank-and-file paper — all of it mattered, and none of it mattered alone. It mattered because organized hands were holding it.

My grandfather stood in a city he described as "living and breathing strike," and he wrote down one more thing — the thing owners never count: that in the middle of all that conflict, "new bonds of sympathy and common viewpoint were being forged — bringing people together, creating new ties."11 That's what solidarity does to a tool. It takes the thing built to divide us and makes it something held in common.

The people who own this machine want you to treat it like a god — inevitable, untouchable, already finished writing your ending. It isn't a god. It's a press, and presses can be seized. It's a loom, and looms can be turned. There were no bombs. There were no rioting mobs. There's only the question the waterfront answered with its body ninety years ago — sitting on the dock, waiting for ours.

Whose machine is it?

It belongs to whoever organizes for it.

A New Series Begins · Dangerous Thoughts

A Fair Share

Our fate is not written. Nobody handed it to us, and nobody else gets to write the ending.

We are men and women who know how to survive. That knowledge lives in our hands and our backs — through layoffs and lockouts, through the shift that ran two hours long for nothing, through the winter that came early and the help that came late. We survived all of it. We will survive this machine too.

But survival was never the goal. It was the floor we stood on while we caught our breath. It's time to do more than survive. It's time to thrive — to stand up straight, take the tool out of the owner's hand, and claim a fair share of a pie we've been baking for someone else our whole lives.

That's what this series is for. Not theory — tools. Plain, practical installments on how working people build power in the age of the machine.

Coming in this series

  1. Reading the Machine. What the algorithm already knows about you — and how to know it right back.
  2. The Organizer's Toolbox. Putting artificial intelligence to work inside the union hall, the shop, and the group chat.
  3. Your Share, in Writing. The contract language that turns the machine's gains into your gains.
  4. Owning the Loom. Profit-sharing, cooperatives, and a real stake in what your hands help build.

The waterfront didn't wait for permission. Neither will we. Pick up the machine — it was always ours to swing.

Sources & Notes

  1. Economic Policy Institute, The Productivity–Pay Gap and Wage Calculator. Net productivity grew 90.2% from 1979 to 2025 while a typical worker's pay grew 33.0%; had pay kept pace, the typical worker would earn about $16.40 more per hour. epi.org/productivity-pay-gap
  2. Economic Policy Institute, on the causes of the gap — deunionization, an eroded minimum wage, macroeconomic policy that tolerated excess unemployment, deregulation, and tax cuts for top earners. epi.org
  3. Industry analysis of AI productivity vs. wages in the technology sector (≈40% productivity gain vs. ≈4% wage growth; 60% of surveyed firms reporting 30%+ productivity gains, ~25% raising pay proportionally). SkillSeek, summarizing a European tech survey, 2026. skillseek.eu
  4. Washington Center for Equitable Growth, "How artificial intelligence uncouples hard work from fair wages through 'surveillance pay' practices," 2026. equitablegrowth.org
  5. SEIU & The Workers Lab generative-AI contract assistant; broader survey in "How Labor Unions Are Leveraging AI to Level Up Organizing, Bargaining, and Advocacy," LRI, 2025. lrionline.com
  6. Erik Brynjolfsson, Danielle Li & Lindsey R. Raymond, "Generative AI at Work," NBER Working Paper No. 31161 (2023). +14% productivity on average, +34% for novice and low-skilled workers, minimal for the experienced; n = 5,179 agents. nber.org/papers/w31161
  7. Writers Guild of America, 2023 Minimum Basic Agreement — AI may be a tool for members but may not replace their work. (WGA strike, May–Sept. 2023.)
  8. The NewsGuild–CWA contract provisions (e.g., The New Republic) and the St. Paul Federation of Educators 2025 contract barring layoffs as a foreseeable result of adopting generative AI. Via NEA, "Bargaining AI in Higher Ed," 2026. nea.org
  9. United Auto Workers–General Motors, 2019 agreement — protection from discipline or dismissal based solely on an algorithmic decision. Via Equal Times, 2024.
  10. Healthcare collective-bargaining language on AI (union participation in selecting, designing, and building workplace technology). Penn State School of Labor & Employment Relations; UC Berkeley Labor Center, "Negotiating Tech," 2025. laborcenter.berkeley.edu
  11. Mike Quin, The Big Strike (1949) — his account of the 1934 West Coast waterfront strike and San Francisco General Strike. All quotations attributed to Quin are verbatim from this work.