A worker-reader publication A Fair Share · No. 03
Rank & File

Terms & Conditions

Everyone clicks "accept." Nobody reads the deal. The AI economy is being written as a contract right now — and for once, working people hold a pen. Bargaining points, civic strategy, and a scorecard where profit isn't the only line. Part three of A Fair Share.

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

In July of 1934, with San Francisco shut down by the General Strike, my grandfather walked streets lined with small shops — and recorded what their owners had taped in the windows. Hand-lettered signs, written by people whose registers had gone quiet by choice: "CLOSED TILL THE BOYS WIN." "WE'RE WITH YOU FELLOWS. STICK IT OUT."15

No accountant would have approved those signs. Every one of them was a daily loss, entered voluntarily, by merchants who had decided the ledger wasn't the only book that mattered. They were measuring something else: whether their neighbors could live on what their work paid. By that measure, closing was profitable.

This essay is about that other ledger — and about the deals that decide which one a society keeps.

I · The Stakes

The first two essays in this series established the ground. The machine's gains follow power, not merit: productivity nearly doubled since 1979 while the typical paycheck crawled,5 and the AI build-out is already running the same play — your bills up, their taxes down. None of that is a law of nature. All of it is a deal — written in contracts, ordinances, rate cases, and tax codes, mostly while nobody was watching.

Here is the thing about this moment: the deals for the next economy are being drafted right now. The contracts that govern AI in your workplace, the agreements that decide who pays for the grid, the codes that determine whether a data center is a neighbor or a landlord — they're all open documents for a few short years, until the concrete sets and the precedents harden. Whoever shows up to the drafting writes the terms. Whoever doesn't, accepts them.

II · A Different Scorecard

Before the bargaining points, the measure — because you can't negotiate well if you're keeping score wrong. The country has spent fifty years measuring success in one column: profits, share price, GDP. By that scorecard, the last half-century was a triumph. By any scorecard that includes the people doing the work, it was a heist.

One picture tells it. Across a century of American data, the share of income captured by the richest tenth moves like a mirror image of one number: how many workers belong to a union. When a third of workers carried a union card, the top tenth's share fell to a third. As membership was ground down to one in ten, the top tenth climbed back to nearly half of everything.1 Economists attribute roughly a third of the rise in inequality since the late seventies to union decline alone — and where unions held on, ordinary workers kept measurably more of the productivity they created.2

Figure 1 — The Mirror
Union membership vs. the top 10%'s share of income
0% 10% 20% 30% 40% 50% UNION MEMBERSHIP TOP 10% INCOME SHARE 11% 44% 33% 32% 10% ≈47% 1925 1955 · UNION ERA TODAY When workers' share of power rises, the top's share of income falls — and back.
Source: EPI series (Historical Statistics / unionstats.com; Piketty–Saez income data, latest ≈47%); union rate today 10.0% per BLS, 2025.1,3

And the union difference isn't abstract. In 2025, the median union member earned $1,404 a week; the median nonunion worker, $1,174. That's $230 a week — roughly twelve thousand dollars a year — and the premium runs largest for the workers with the least, spilling over to lift nonunion wages wherever density is high.3,2

Figure 2 — The Premium
Median weekly earnings, full-time workers, 2025
$0 $400 $800 $1,200 $1,600 $1,404 UNION MEMBERS $1,174 NONUNION WORKERS +$230 a week. About $12,000 a year. That's the price of a voice.
Source: U.S. Bureau of Labor Statistics, Union Members — 2025. BLS notes these broad comparisons don't control for occupation, industry, or region.3

So here is the scorecard this series proposes — the one to carry into every negotiation, council vote, and rate hearing in the AI era. Profit appears nowhere on it, because profit will take care of itself. It always has.

Cut Out & Keep
The Fair Share Scorecard
  • The split. When measured productivity rises, does the median paycheck rise with it — in the same year, in writing?
  • The bills. Are household power and water costs flat or falling — or is the public subsidizing private infrastructure?
  • The hours. Is any of the machine's gain coming back as time — shorter weeks, more life — at full pay?
  • The ladder. Are local kids entering registered apprenticeships and careers, or are the jobs trucked in and trucked out?
  • The access. Is the infrastructure closing the digital divide — broadband, compute, training — in the places long denied it?
  • The reserve. Is the community banking a share of the boom — endowments, stabilization funds — for the day it slows?
  • The voice. Are more workers covered by a contract this year than last? Everything above depends on this line.
If a deal can't check these boxes, it isn't development. It's extraction with a ribbon on it.
III · The Bargaining Points — At Work

Now the language. Not vibes, not principles — clauses. Each one already exists somewhere in a signed agreement or a working model; none of this is utopian. The job is to make the exception the standard.

01The gains-sharing clause.

THE DEMAND: Measured productivity gains from AI tools trigger automatic wage increases or profit-sharing for the bargaining unit, in the same contract year.

This is the clause that attacks inequality at the root, because it re-couples what 1979 decoupled: output and pay. The evidence is on labor's side — the landmark field study found AI lifted the newest, lowest-paid workers most, with novice productivity up 34 percent.4 When the company's own dashboards prove the gain, the raise stops being a request and becomes an invoice.

02Time is a raise.

THE DEMAND: A scheduled reduction in the workweek, at no loss of pay, funded by documented AI productivity gains.

Equality isn't only measured in dollars. If the machine does in four days what took five, the fifth day belongs on the table — and for millions of workers, an hour returned to family, health, or a second dream is worth more than its cash equivalent. A century ago the labor movement bought the weekend with the productivity of the assembly line. The AI dividend can buy the next one.

03No algorithmic bosses.

THE DEMAND: No worker is disciplined, terminated, scheduled into hardship, or surveilled into a metric by an algorithm's decision alone. Human review, with the union in the room, always.

The autoworkers wrote a version of this in 2019.8 It matters because management-by-algorithm is how the gains get quietly clawed back — the "surveillance pay" trap from earlier in this series. A raise means nothing if the machine speeds the line until you can't keep it.

04Notice and a seat.

THE DEMAND: Advance written notice of any AI system that affects work, and bargaining over its deployment before it ships — plus worker seats on the committee that selects and designs the technology.

This exists. Microsoft's contract with CWA workers at ZeniMax requires the company to notify the union when AI could affect workers, and to negotiate in good faith on request — language whose stated goal is that the tools "benefit rather than harm workers."10 Healthcare locals have gone further, winning participation in the selection, design, and building of new systems.9 The earlier the seat, the cheaper the fight.

05Training on the clock.

THE DEMAND: Employer-funded reskilling for every worker whose tasks the machine absorbs — on paid time, toward defined roles, with priority bidding and no loss of pay during transition.

"Learn new skills" is an insult when it means nights and weekends at your own expense while your old job evaporates. A just transition is paid, scheduled, and lands somewhere specific. Unions and labor federations have made retraining, advance notice, and priority placement the centerpiece of their AI principles for a reason: it's the difference between a transition and a layoff with homework.12

06You own your double.

THE DEMAND: No training of AI on a worker's voice, image, writing, code, or accumulated know-how without consent and compensation — and the digital replica of you is yours.

The actors proved this winnable: striking performers won consent and compensation rights over digital replicas of themselves.11 The principle scales to everyone. The machine learns from your work — your calls, your fixes, your judgment built over twenty years. That's not exhaust. That's an asset, and assets have owners.

IV · The Bargaining Points — In Public

The contract covers the shop floor. Equality is decided in bigger rooms too — and civic responsibility means treating those rooms as bargaining tables, because that's what they are.

07Neutrality as the price of partnership.

THE DEMAND: Any company seeking public approval, public infrastructure, or public goodwill for AI projects commits to neutrality when its workers — or its contractors' workers — organize.

The template exists at the largest scale: Microsoft signed a neutrality framework with the AFL-CIO — sixty unions, twelve and a half million members — committing to respect organizing rights, share information on AI trends, and take worker input into the technology's development.13 One federation president noted the contrast plainly: every other company fights. Make the Microsoft posture the market standard, and the seventh line of the scorecard — the voice — starts moving for the first time in fifty years.

08Permission has a price.

THE DEMAND: No permit, rezoning, tax treatment, water allocation, or grid connection without a community benefits agreement with enforceable terms — full taxes, dedicated rate classes, union construction, local hiring, ratepayer relief.

This was the whole of essay No. 02, compressed to a sentence. The AI build-out needs what only communities can grant. Loudoun County funds a two-billion-dollar school system on untaxed-away data center revenue; Oregon makes the industry carry its own grid costs.14 Every council vote is a contract negotiation whether the council knows it or not.

09The public's cut.

THE DEMAND: A standing community share of the boom — revenue-sharing endowments, stabilization funds, ground leases instead of land sales, public stakes in the power built to serve private compute.

Profit is a flow; equality requires a stock. A county that banks a tenth of its data center revenue, a community foundation holding a negotiated endowment, a town that leases its land instead of selling it — these are how a boom becomes a balance sheet that belongs to everyone, including the people not born yet.14

10Show up. Then keep showing up.

THE DEMAND: Of ourselves. Bodies in the boring rooms — rate hearings, county boards, school boards, utility dockets — in coalition: union locals, ratepayer groups, congregations, small businesses, neighborhood associations.

This is the civic responsibility part, and it is not optional. The money moves in meetings nobody attends. The proof that attendance works is recent: public anger over data-center-driven utility bills helped swing two governors' races in a single November.14 Half of American adults fear AI will cost them or their families their jobs12 — that's not despair, that's a coalition waiting for a meeting time. In 1934 the shopkeepers stood with the longshoremen because they understood their fates were one ledger. The grocer and the gig worker, the ratepayer and the pipefitter, the parish and the local — same ledger, still.

V · What I Actually See

The honest paragraph, as always. Paper promises are paper. A neutrality framework is only as strong as the organizing that tests it; a gains-sharing clause is only as real as the steward who grieves it; a community benefits agreement without enforcement is a press release with signatures. None of these terms self-execute. They are claims we have to keep staking, in rooms we have to keep filling, against counterparties with more lawyers and more patience than any of us has alone.

And that's precisely why the scorecard can't be profit. Profit is their metric, and on their metric they will always win — they own the denominator. Our metrics are the split, the bills, the hours, the ladder, the access, the reserve, the voice. On those, fifty years of evidence says one thing: we win exactly as much as we organize for, and not a dollar, an hour, or a kid's apprenticeship more.

The shopkeepers of 1934 understood something we've been talked out of: that an economy is not a scoreboard for capital — it's an arrangement among neighbors, and neighbors can change the arrangement. They posted their terms in the window in their own handwriting. "WE'RE WITH YOU FELLOWS. STICK IT OUT."15

The machine age will be negotiated, one clause at a time, whether we attend the negotiation or not. These are our terms. Post them in the window.

VI · The Next Frontier

One more thing before I let you go, because this framework reaches past the workplace and the county line. Consider the deal you've already signed — the one nobody reads because it arrives as a button. Social media. The platforms. The feed.

There, the arrangement is stranger than anything else in this series: you are the consumer and the product at the same time. Your attention is the inventory — packaged, auctioned, and sold by the hour. Your words, your photos, your late-night searches are the raw material training the machines. The most valuable companies in history run on an input they get for free: us. Now run that deal through the scorecard. The split? You're paid nothing. The hours? Taken — engineered, in fact, to take more. The voice? A terms-of-service agreement you can't negotiate, only accept. By every line on the card, it is the most lopsided contract in the economy — and we re-sign it every morning before coffee.

It doesn't have to stay that way, and the framework in this essay is the way out. Clause 06 — consent and compensation for what's built from you — scales from the actor's digital double to every person's data. Collective bargaining scales from the union hall to the data union: millions of users negotiating as one counterparty instead of clicking alone. And policy can do for the feed what it once did for the factory floor — the eight-hour day, the weekend, the wage floor — by treating the value people create as theirs: data dividends, attention compensated like the labor it is, platforms structured and taxed to serve the people who power them. Proper policy doesn't just referee the pie. It hands out forks.

That's the next essay in this series. For now, hold the thought in a single sentence, and carry it into every room this series has named: it's time to stop giving our attention away for free.

A Fair Share · The Series

Our Terms

Our fate is not written, and neither is the contract. That's the point — it's still being drafted, and we are a party to it whether they like it or not.

We are people who know how to survive on terms we never chose. Surviving is the skill we were forced to master. But the next economy's terms are open for signature right now — at the bargaining table, in the council chamber, at the rate hearing. It's time to do more than survive what others negotiate. It's time to thrive on terms we wrote ourselves, and take a fair share of the pie our hands keep baking.

In this series

  1. No. 01 — Whose Machine Is It? The case for taking the tools of intelligence and turning them toward a fair share.
  2. No. 02 — The New Company Town. Data centers, the commons, and the deal your community deserves.
  3. No. 03 — Terms & Conditions. This essay: the bargaining points, the civic strategy, and the scorecard beyond profit.
  4. Next — The Unpaid Shift. Social media and the attention economy: we are the product and the consumer at once — time to stop giving it away for free.
  5. Coming — The Organizer's Toolbox. Putting the machine itself to work inside the union hall, the shop, and the county board meeting.

Read the deal. Redline the deal. Sign nothing that fails the scorecard.

Sources & Notes

  1. Economic Policy Institute, "As union membership declines, income inequality rises" — union density vs. top-10% income share, 1917–2015 (Historical Statistics / unionstats.com; Piketty–Saez income data: 1925 ≈ 11% / 44.2%; mid-1950s ≈ 33% / ~32%; latest in series ≈ 47%). epi.org
  2. Economic Policy Institute, "Unions aren't just good for workers": declining unionization accounted for about a third of the rise in inequality in the 1980s–90s; where unionization declined 10 points less, workers' share of 1979–2024 productivity growth was 6.9 points higher; union standards spill over to nonunion wages. epi.org
  3. U.S. Bureau of Labor Statistics, Union Members — 2025 (released Feb. 2026): membership rate 10.0%; median weekly earnings $1,404 union vs. $1,174 nonunion. BLS cautions these broad comparisons don't control for occupation, industry, age, or region. bls.gov
  4. Brynjolfsson, Li & Raymond, "Generative AI at Work," NBER Working Paper No. 31161 (2023): +14% average productivity, +34% for novice and low-skilled workers. nber.org
  5. Economic Policy Institute, The Productivity–Pay Gap: net productivity +90.2% vs. typical pay +33.0%, 1979–2025. epi.org
  6. Writers Guild of America, 2023 Minimum Basic Agreement — AI as a tool for members, not a replacement.
  7. NEA, "Bargaining AI in Higher Ed" (2026): NewsGuild AI provisions; St. Paul Federation of Educators 2025 no-layoffs-by-AI language. nea.org
  8. UAW–General Motors, 2019 agreement: protection from discipline or dismissal based solely on algorithmic decisions. Via Equal Times.
  9. Healthcare CBA language on AI: union participation in selection, design, and building of workplace technology. Penn State LER; UC Berkeley Labor Center, "Negotiating Tech." laborcenter.berkeley.edu
  10. CWA–Microsoft (ZeniMax) contract language: notice to the union of AI affecting workers; good-faith bargaining on request; goal that tools "benefit rather than harm workers." engadget.com
  11. SAG-AFTRA 2023 agreement: consent and compensation rights over digital replicas. Via Axios.
  12. Axios / Morning Consult, Dec. 2023: about half of U.S. adults fear AI will cost them or a loved one a job; unions winning transparency, consultation, and compensation rights; labor's AI principles on retraining and just transition (see also UC Berkeley Labor Center, "Labor's AI Values"). axios.com
  13. AFL-CIO & Microsoft, Dec. 2023 tech-labor partnership: neutrality framework across 60 affiliate unions (~12.5M members); information-sharing on AI; worker input into development; joint public policy work. aflcio.org
  14. From A Fair Share No. 02: Loudoun County's untaxed-away data center revenue and 10% Revenue Stabilization Fund (loudoun.gov); Oregon's dedicated data center rate class (Introl, 2026); utility-bill anger shaping the Nov. 2025 NJ and VA governors' races (Canary Media). canarymedia.com
  15. Mike Quin, The Big Strike (1949): shop-window signs during the 1934 General Strike — "CLOSED TILL THE BOYS WIN"; "WE'RE WITH YOU FELLOWS. STICK IT OUT." Quotations verbatim.