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On this pageWhat is happeningTask breakdownRecent changesFor youWhat it means for youWhat you can doHow we knowWhat these rest on
Occupations›Writer and author

Get told when a verified record lands on this occupation → · Mark which of these tasks are yours (VOLO Pro, free during the launch) →

Writer and author

Writes books, fiction and scripts — novels and non-fiction, stories, and film and television screenplays. US projections say increasing use of AI for writing is expected to dampen demand, a science-fiction magazine had to close submissions when machine-written stories flooded in, and a study found readers preferred AI imitations of authors' styles once the model was fine-tuned on those authors' books. But studies still find professional writers' fiction far stronger than prompted models, the US screenwriters' contract says AI is not a writer and cannot be required, and a court ruled that building a library from pirated books was not fair use, leading to a $1.5 billion settlement with authors.

Media & creativeAssessed 2026-09-30
Tasks automating
1of 4
1 being augmented
Still human-led
2of 4
0 new tasks
Evidence-backed judgements
3of 4
11 verified records
Test this week · first of 3 directions

Check the submission guidelines of three markets you target and note what they say about AI.

See all 3 ↓
52/100
Automation impact indexLow confidence

This is not a probability of losing your job. It combines how much of the role's task load is exposed to automation with how far adoption has actually gone — useful for comparing occupations on one consistent basis, and for nothing else.

Where this applies

Written for novelists and book authors, screenwriters and other creative writers. Copywriters, journalists and technical writers have their own pages. The evidence is a US labour projection, the US screenwriters' collective agreements, two US court rulings and a settlement over training AI on books, a magazine editor's account and three studies of AI fiction; it establishes what contracts and courts say and how AI fiction compares, not how writers' incomes have changed.

What is happening

What is actually changing#

The unit of analysis is the task, not the job title. A role is not replaced — its task mix shifts.

AutomatingBeing augmentedStill human-ledNew taskStriped: our inference, not yet backed by a verified record

Each tile is one task. Its size is how much of the job it is; its colour is where the task is heading. Click a tile to see what the judgement does not establish.

Core task
Writing fiction and books
Being augmented≈ Platform inference
What this does NOT mean

Studies of short excerpts and stories, not novels; they measure quality judgements, not what readers buy or writers earn.

Read this task in full →Make this your first AI experiment at work →
Core task
Screenwriting and rewrites
Still human-led✓ Evidence-backed
What this does NOT mean

One US collective agreement for signatory companies; non-union and other countries' work is not covered.

Read this task in full →
Significant task
Short fiction and open submission markets
Automating✓ Evidence-backed
What this does NOT mean

One magazine's account from 2023; it shows volume arriving, not how many writers lost sales.

Read this task in full →Make this your first AI experiment at work →
Significant task
Rights and licensing
Still human-led✓ Evidence-backed
What this does NOT mean

Two district-court rulings that bind no other court, one settlement covering past conduct, and one US contract; the law is still developing.

Read this task in full →

Is this your job? Say so and this page narrows to your share of it.

A job title is a bundle of tasks bought together, and no two people hold the same bundle. Nothing is sent anywhere — it stays in this browser.

Writing fiction and booksBeing augmented≈ Platform inferenceScreenwriting and rewritesStill human-led✓ Evidence-backedShort fiction and open submission marketsAutomating✓ Evidence-backedRights and licensingStill human-led✓ Evidence-backed

Read all 4 tasks in full — direction, reasoning and limits →

Recent changes#

2023202420252026today2023-02-15 · DeploymentMachine-written spam submissions surged at Clarkesworld and the science-fiction magazine temporarily closed submissions, its editor reported in February 20232023-09-25 · ConstraintNeither traditional nor generative AI is a writer under the US screenwriters' 2023 agreement, and a company may not require a writer to use ChatGPT to write literary material2023-09-25 · CapabilityStories generated by language models passed 3–10 times fewer creativity tests than stories by professional authors, an expert assessment found2024-07-01 · CapabilityA world-class novelist outscored GPT-4 Turbo in literary critics' ratings of short stories, and the researchers concluded models are still far from challenging top writers2025-01-01 · ConstraintA user who only writes prompts is not the author of AI output, and purely AI-generated material is not protected, the US Copyright Office concluded2025-06-23 · ConstraintTraining on the books at issue was fair use but building a central library from pirated copies was not, a US federal judge ruled in Bartz v. Anthropic2025-06-25 · ConstraintRuling for Meta on the record in Kadrey v. Meta, a US federal judge said this does not make training on copyrighted books lawful and called market dilution the potentially winning argument2025-10-15 · CapabilityExpert readers who disfavoured prompted AI imitations of authors' styles favoured them once the model was fine-tuned on each author's complete works, a preregistered study found2026-04-04 · ConstraintThe US screenwriters' 2026 agreement keeps the 2023 AI protections and requires notice to the union when a company licenses scripts to train a commercial AI system2026-07-20 · ConstraintA $1.5 billion settlement paying about $3,000 per work was finally approved in Bartz v. Anthropic, with 440,490 of 482,460 listed works claimed2026-08-27 · ForecastWriter and author employment will show little or no change from 2025 to 2035, with increasing use of AI for writing expected to dampen demand, the US Bureau of Labor Statistics estimated
Can move a judgementCannot move one (forecast, capability demo…)
Forecast2026-08-27Verified 2026-09-30
Writer and author employment will show little or no change from 2025 to 2035, with increasing use of AI for writing expected to dampen demand, the US Bureau of Labor Statistics estimated

United States. The statistics bureau projects that employment of writers and authors will show little or no change from 2025 to 2035, from 140,300 to 139,900, with about 11,900 openings a year. It says increasing use of artificial intelligence for writing is projected to dampen demand, while these workers will continue to be needed for online media and advertising and demand for reading for pleasure will continue to support some writers and authors. The occupation code also covers copywriters.

A named person with standing publicly predicted something, on a date, in an attributable statement. It is recorded so that who said what, and when, stays checkable — and it never moves a task's assessment, because a prediction is not an observation. Its value arrives later: the record sits on the same page as the evidence about that occupation, so anyone reading the forecast reads the record of what happened next beside it. That is the reckoning; this site publishes no verdict on whether a forecast came true.

U.S. Bureau of Labor Statistics — Occupational Outlook Handbook: Writers and Authors (Last modified date: August 27, 2026) ↗Full impact card →
Constraint2026-07-20Verified 2026-09-30
A $1.5 billion settlement paying about $3,000 per work was finally approved in Bartz v. Anthropic, with 440,490 of 482,460 listed works claimed

United States. The court approved a non-reversionary settlement fund of $1.5 billion, found the estimated per-work payment of approximately $3,000 to be four times the minimum statutory damages for willful infringement, and recorded that as of April 16, 2026, 440,490 of the 482,460 works on the works list had been claimed. The settlement covers past conduct; it is not a licence for future use. The defendant makes the AI model used to prepare this record.

Failure, rollback, regulation or cost is suppressing adoption. Can lower an assessment or widen its uncertainty.

U.S. District Court for the Northern District of California — Bartz v. Anthropic PBC, Order Granting Final Approval of Class Action Settlement (Dkt. 680, filed 07/20/26; CourtListener RECAP copy) ↗Full impact card →
Constraint2026-04-04Verified 2026-09-30
The US screenwriters' 2026 agreement keeps the 2023 AI protections and requires notice to the union when a company licenses scripts to train a commercial AI system

United States, film and television writing, term to May 1, 2030. The union's summary says the contract preserves all of the protections negotiated in 2023 and adds requirements should companies license writers' scripts to generative AI systems; the agreement text requires a company to give written notice to the Guild when it grants a paid licence to a non-affiliated party to use covered literary material to train a public-facing commercial generative AI system, and the Guild may request discussion, including any remuneration for writers. It creates a notice duty, not a consent right.

Failure, rollback, regulation or cost is suppressing adoption. Can lower an assessment or widen its uncertainty.

Writers Guild of America and AMPTP — Memorandum of Agreement for the 2026 WGA Theatrical and Television Basic Agreement (April 4, 2026), with the WGA's summary ↗Full impact card →
Capability2025-10-15Verified 2026-09-30
Expert readers who disfavoured prompted AI imitations of authors' styles favoured them once the model was fine-tuned on each author's complete works, a preregistered study found

A preregistered blind study comparing MFA-trained writers with frontier models writing excerpts of up to 450 words in the styles of 50 award-winning authors. With in-context prompting, AI text was strongly disfavoured by MFA-trained readers for stylistic fidelity (odds ratio 0.16) and quality (0.13); after fine-tuning ChatGPT on each author's complete works, those readers favoured AI for fidelity (8.16) and quality (1.87), and detectors flagged 3% of fine-tuned outputs against 97% of prompted ones. It measures short excerpts, not novels, and does not count the human effort needed to make publishable books.

A demo, benchmark or paper shows the task can be done. Updates what the technology can do — not what employers will do.

Chakrabarty, Ginsburg and Dhillon — Readers Prefer Outputs of AI Trained on Copyrighted Books over Expert Human Writers, arXiv:2510.13939 (preregistered; submitted 15 Oct 2025) ↗Full impact card →
Constraint2025-06-25Verified 2026-09-30
Ruling for Meta on the record in Kadrey v. Meta, a US federal judge said this does not make training on copyrighted books lawful and called market dilution the potentially winning argument

United States. The court ruled for Meta against thirteen authors on the record before it, but said the ruling does not stand for the proposition that Meta's use of copyrighted materials to train its language models is lawful, only that these plaintiffs made the wrong arguments; it described market dilution — a product likely to flood the market with similar works — as the potentially winning argument, on which the plaintiffs presented no evidence. It is one district court's order.

Failure, rollback, regulation or cost is suppressing adoption. Can lower an assessment or widen its uncertainty.

U.S. District Court for the Northern District of California — Kadrey v. Meta Platforms, No. 3:23-cv-03417-VC, Order on cross-motions for partial summary judgment (Dkt. 598, filed 06/25/25; CourtListener RECAP copy) ↗Full impact card →
Constraint2025-06-23Verified 2026-09-30
Training on the books at issue was fair use but building a central library from pirated copies was not, a US federal judge ruled in Bartz v. Anthropic

United States. The court held that the use of the books at issue to train Claude and its precursors was exceedingly transformative and a fair use, but that Anthropic had no entitlement to use pirated copies for its central library, which was not itself a fair use. It treated authors' argument that training would produce an explosion of competing works as not the kind of competition copyright protects against. It is one district court's summary-judgment order, binding no other court; the defendant makes the AI model used to prepare this record.

Failure, rollback, regulation or cost is suppressing adoption. Can lower an assessment or widen its uncertainty.

U.S. District Court for the Northern District of California — Bartz v. Anthropic PBC, No. 3:24-cv-05417-WHA, Order on Fair Use (Dkt. 231, filed 06/23/25; CourtListener RECAP copy) ↗Full impact card →
Constraint2025-01-01Verified 2026-09-30
A user who only writes prompts is not the author of AI output, and purely AI-generated material is not protected, the US Copyright Office concluded

United States. The report concludes that, given current generally available technology, prompts alone do not provide sufficient human control to make users of an AI system the authors of the output, and that copyright does not extend to purely AI-generated material or material where there is insufficient human control over the expressive elements. It is guidance from the Copyright Office, not a statute or court ruling; it governs rights, not how books are written.

Failure, rollback, regulation or cost is suppressing adoption. Can lower an assessment or widen its uncertainty.

U.S. Copyright Office — Copyright and Artificial Intelligence, Part 2: Copyrightability (report of the Register of Copyrights, January 2025) ↗Full impact card →
Capability2024-07-01Verified 2026-09-30
A world-class novelist outscored GPT-4 Turbo in literary critics' ratings of short stories, and the researchers concluded models are still far from challenging top writers

A contest between the novelist Patricio Pron and GPT-4 Turbo writing short stories from the same titles, rated by literature critics and scholars in English and Spanish. The authors report that language models are still far from challenging a top human creative writer, and that GPT-4 wrote more creatively when given the novelist's titles than its own. It compares one author and one model.

A demo, benchmark or paper shows the task can be done. Updates what the technology can do — not what employers will do.

Marco, Gonzalo, Mateo and del Castillo (UNED and Universidad Complutense de Madrid) — Pron vs Prompt: Can Large Language Models already Challenge a World-Class Fiction Author at Creative Text Writing?, arXiv:2407.01119 (EMNLP 2024; submitted 1 Jul 2024) ↗Full impact card →
Constraint2023-09-25Verified 2026-09-30
Neither traditional nor generative AI is a writer under the US screenwriters' 2023 agreement, and a company may not require a writer to use ChatGPT to write literary material

United States, film and television writing under the Writers Guild contract. The agreement says that because neither traditional AI nor generative AI is a person, neither is a writer, and material they produce is not literary material; generative-AI material is not source material for writing credit; a company may not require, as a condition of employment, that a writer use a generative AI program that produces literary material (for example ChatGPT); and a writer must obtain the company's consent before using generative AI. Companies may require tools that do not generate writing, such as plagiarism detection. It binds signatory companies only.

Failure, rollback, regulation or cost is suppressing adoption. Can lower an assessment or widen its uncertainty.

Writers Guild of America and AMPTP — Memorandum of Agreement for the 2023 WGA Theatrical and Television Basic Agreement (September 25, 2023), Article 72 ↗Full impact card →
Capability2023-09-25Verified 2026-09-30
Stories generated by language models passed 3–10 times fewer creativity tests than stories by professional authors, an expert assessment found

A study in which 10 creative writers assessed 48 stories written either by professional authors or by language models, using a set of creativity tests. The authors report that model-generated stories pass 3–10 times fewer of the tests than stories written by professionals, and that none of the models used as assessors correlates positively with the experts. It used 2023 models; co-authors include researchers at an AI company.

A demo, benchmark or paper shows the task can be done. Updates what the technology can do — not what employers will do.

Chakrabarty, Laban, Agarwal, Muresan and Wu (Columbia University and Salesforce AI Research) — Art or Artifice? Large Language Models and the False Promise of Creativity, arXiv:2309.14556 (CHI 2024; submitted 25 Sep 2023) ↗Full impact card →
Deployment2023-02-15Verified 2026-09-30
Machine-written spam submissions surged at Clarkesworld and the science-fiction magazine temporarily closed submissions, its editor reported in February 2023

An open-submission science-fiction magazine. Its editor wrote that the number of spam submissions resulting in bans had hit 38% that month, a spike he tied to AI chatbots, and on 20 February 2023 added that submissions spiked — over 50 before noon — so he had temporarily closed submissions. The magazine's current guidelines say it will not consider submissions translated, written, developed or assisted by these tools. It is one magazine's account.

An employer has put it into production. Can move the baseline — weighted by scale and how similar the setting is.

Neil Clarke (editor of Clarkesworld) — A Concerning Trend (blog post, 02/15/2023, with edit of 2/20/2023) ↗Full impact card →
What it means for you

What this means for you#

If you are starting out

If you are starting out, expect open markets and self-publishing to be crowded with machine-written work, and build on what buyers and contracts still require from a person: a distinctive voice, work under union terms, and rights you control.

If you are experienced

Expect models trained on authors' work to imitate styles convincingly, and your rights over your own books and scripts to matter more. Read what your contracts and publisher say about AI training and AI use.

Your options#

Four directions, each with its real constraints and one thing you can test this week. Continuing as you are is a legitimate choice — it just has to be a chosen one.

Stay and strengthen

Stay, and write where a human author is required

The US screenwriters' contract defines the writer as a person, and at least one leading magazine refuses AI-written work.

Real constraints

Union and literary markets are small and competitive.

Test this week

Check the submission guidelines of three markets you target and note what they say about AI.

Reshape the role

Manage your rights over training and use

Courts and contracts are setting terms for training AI on books and scripts, and a settlement has paid authors for pirated copies.

Real constraints

The law differs by country and is still unsettled.

Test this week

Ask your publisher or agent what your contracts say about licensing your work for AI training.

Adjacent move

Move towards writing for screen under guild terms

The screenwriters' agreement protects credit and compensation from AI-generated material until 2030.

Real constraints

Guild screenwriting work is hard to enter.

Test this week

Read your local writers' guild's position on AI and what it asks members to do.

Common questions#

Will AI replace writers and authors?

Not in the work contracts and readers still reserve for people, but it is changing the market. US projections expect writer and author employment to show little or no change from 2025 to 2035, with AI expected to dampen demand. Studies find prompted models well below professional novelists, though a model fine-tuned on an author's books was preferred by readers. The US screenwriters' contract says AI is not a writer and cannot be required.

How long do I have before this job disappears?

We do not answer that with a number of years. Watch what your markets accept — whether publishers and magazines take AI-assisted work — and what your contracts say about AI. Those tell you more than any date.

Can AI companies train on my books?

US courts are still deciding. In one case, a judge held training on the books at issue was fair use but building a library from pirated copies was not, and the company settled with authors for $1.5 billion; in another, the judge ruled for the AI company on that record while saying such training is not necessarily lawful. Other countries' law differs.

Can a studio make a screenwriter use AI?

Not under the US screenwriters' contract: a company may not require a writer to use a generative AI program that writes literary material, and a writer needs the company's consent to use one. Companies may require tools that do not generate writing, such as plagiarism checks.

How we know

What these judgements rest on#

3 of 4 task judgements on this page are backed by a verified event and 1 are platform inference, each labelled where it appears. Behind them sit 2 technology dimensions, a reconstructed trajectory since language models reached the public, and 11 verified events.

See which technologies, how it got here, and the method →

Where it sits in the official classification: skills, knowledge, related jobs →

Other roles in the same function#

A company divides its work into functions before it divides it into jobs. These sit in Marketing & content alongside this one — a fact about org charts, not a judgement that they are similar or that they are changing in the same direction.

Marketing specialist · Copywriter · Graphic designer · Photographer · Illustrator · Animator and VFX artist · Video editor · Voice actor · Musician and composer · Actor and model · Content creator