Three facts from this year. A seventy-year-old billionaire working out how much of the world’s work should stay in human hands by arguing it through with a chatbot.
A tax code that bills a company for hiring a person and hands it a deduction for buying the machine that replaces them.
A guild contract ratified in April whose headline fight was health insurance.
One fence runs underneath all three.
A Nature Reserve for Work
Gates published six thousand words on August 26 called “The turbulent AI era is here. The choices we make now are critical.”
Three ideas of note.
New national coordinating bodies plus an international one assembled out of pieces of nuclear weapons inspections, aviation rules, and the ozone treaties.
A tax on AI tokens and robots.
A category of work society deliberately keeps for people after machines can do it. He calls that third one Human Reserved.
The analogy is a nature reserve. Roads and buildings could go there and don’t, because what’s standing is worth more. His example is a robot delivering news you have an incurable disease.
Gates writes that there’s “no technical reason why it couldn’t. Yet it shouldn’t.” The idea came out of watching the paid caregivers who looked after his father through Alzheimer’s, work he puts permanently outside a machine’s business.
Gates doesn’t pretend to have it solved. Who decides what gets reserved, by what criteria, how you stop a company from quietly using robots anyway, and what happens to trade between a country that allows it and one that doesn’t, all of that sits in the essay as open questions to be worked out in public.
He told GeekWire he’s been running the math through Claude, testing shorter workdays and earlier retirement as ways to push the share of work reserved for people up toward 40% and spread what’s left around. GeekWire
That reads as abstract policy right up until you run it as a story problem. Then it’s the most useful thing anybody has said about this business all year.
Everything Before the Contract
The Writers Guild drew a line in 2023 and members renewed it this spring. A model doesn’t get to write or rewrite literary material. What a model produces doesn’t count as source material, so nobody can use it to erode a scribbler’s credit or separated rights.
A company can’t force a scribbler to use AI software, and it has to disclose when material handed over came out of a model.
The 2026 MBA, ratified April 24 with 90.38% in favor and running through May 1, 2030, preserves every one of those protections and adds one: written notice to the Guild when a company licenses scribblers’ work to train a commercial generative system, with the Guild able to request a conversation about the license and about paying scribblers for it. Writers Guild of America EastWriters Guild of America
Every one of those provisions protects credit, compensation, and consent on covered projects.
None of them says a word about who conceives the premise, who breaks the season, who decides what a character wants badly enough to lie for it. Outside the covered zone the fence doesn’t exist at all. Development. Unrepped features. Games. Everything a screen scribbler does before a contract even shows up.
The Guild bought ground it could hold in a year when the health fund was on fire, and members paid for it. Active participants carried no monthly premium at all, and a flat $50 for any number of dependents, frozen for twenty-three years. That changes in 2027, along with higher deductibles and out-of-pocket maximums.
Somebody still needs to draw the rest of the map, and it starts with naming what a machine can produce and what it shouldn’t. Story conception. Character arc. Voice.
Ability is not permission, and a business that can’t name three things it refuses to automate has already agreed to automate all of them by default. Hmmm.
If You Don't, a Start-Up Will
Gates names the mechanism and calls it a vicious cycle. It runs in three moves. Somebody automates, turns the savings into a lower price, and every competitor feels immense pressure to answer. Sitting it out solves nothing, because if the existing companies don’t move, start-ups will. New American Journal
Swap in studios and the sentence needs no rewrite.
One financier produces cheap coverage, cheap concept art, cheap previz, cheap first drafts, and the margin pressure travels through the entire market inside a quarter.
Volume over quality, on a loop, with nobody able to step off first.
Gates thinks the lever is tax, since a company that hires a worker pays payroll taxes while a company that buys a robot writes it off right away.
He first floated a robot tax nine years ago and mostly got told it was a strange idea. He’s still for it. He’ll grant the tax costs the economy something, then argue we can carry that cost as the price of keeping people working. GeekWire
This industry already has that lever built and running.
California’s Film and Television Tax Credit Program 4.0 puts $750 million a year on the table through June 2030, and applications get ranked on a jobs ratio: qualified wages plus 35% of other qualified expenditures, divided by the estimated credit.
Payroll’s a scoring metric. Geography is what the state is buying.
Maureen Kerr laid out the problem in Forbes on August 19. The AI-native outfits she profiled last year, Promise, Phantom X, Gossip Goblin, run on small permanent teams, contracted specialists, and more cash in compute and rights than crew payroll.
That doesn’t make them ineligible. It makes the program irrelevant to the economics that define them. Forbes + 3
The jobs ratio is a human-reserved policy. Nobody’s calling it one yet. Somebody should, before the next revision quietly stops caring who did the work.
Six Years Before Anybody Notices
The line that should scare this town sits nowhere near the tax argument.
Gates writes that the jobs at most risk are entry and mid-level, that the new jobs coming will mostly require skills that take many years to learn, and that he’s especially worried about young people entering a workforce with fewer entry-level openings.
Inser apprentice jobs here. Scribblers’ assistants. Script coordinators. Staff scribblers. Junior story editors. Now name what those jobs consist of: coverage, research, transcription, tracking continuity, a polish pass nobody wants to do twice.
That’s the exact task list a model eats first and the cheapest.
Kill the first rung and the ladder stands there looking fine for about six years. Then the industry goes looking for its next generation of showrunners and finds a cohort that never sat in a room while two executive producers argued for ninety minutes about whether a character would really make that phone call.
Nobody learns that from a wiki.
Showrunners and EPs are the ones who protect those entry level seats or don’t. That decision gets made a hundred times a year, quietly, in budget meetings, by people who could go either way.
What Stays Scarce When the Picture Gets Cheap
A budget meeting grades cost. The market pays whoever cuts fastest. Which is why the counter-cyclical bet is worth making.
Kerr has been putting the same question to every AI filmmaker she profiles: what stays scarce once making the picture gets cheap.
The answers keep coming back ownership, voice, audience trust, control of the release. Not geography, and not speed. Forbes
Synthetic content will saturate every low-friction feed on earth over the next few years, because the cost of filling a feed is verging toward zero.
Everything with a person behind it gets scarcer at exactly the same rate. Hyper-specific, messy, first-person work no model can assemble from training data. Stuff somebody scribbled with intent.
What’s the work you’d refuse to hand off even if refusing cost you the gig? And if you’re the one signing a budget, when’s the last time you fought to keep a baby scribbler’s seat in your room?
ABS. Always. Be. Scribbling.