“AI will take jobs” hides the decision-maker in the same way that “AI stole the music” does.
AI does not summon a writer into an office and fire him. An employer decides whether workers receive the tool, whether they are trained to use it, whether increased capacity expands what they can do or merely increases their quota, and who benefits from the result.
The definition of writer came first.
If a writer is the person who produces sentences, AI looks like a replacement.
If a writer is the person who determines which sources belong, maintains logical continuity, understands what a character would do, recognizes false completion, and remains accountable for meaning, AI is an instrument inside the work.
My father did not protect the front-desk position by withholding the ballpoint pen. He gave me the available writing instrument because the job was not making marks by hand. The job was receiving people, understanding their needs, preserving records, solving problems, and representing the hotel.
The pen increased my ability to do the job.
Withholding the tool preserves an obsolete definition of the work until management decides the obsolete version is replaceable.
The same problem appears in the definition of a screenplay.
A screenplay is often treated as a formatted document containing scenes, actions, and dialogue from which a film can be produced. That definition locates the work in its final pages and makes the writer appear to be a supplier of text.
A screenplay is an authored system of dramatic decisions that allows a story to become visible in time, action, performance, and sound. The document is the production-facing expression of that system.
The work lies in deciding what is shown, what remains unstated, who acts, why one action follows another, what the audience is allowed to supply, and where the story must stop.
AI can draft dialogue, retrieve sources, compare versions, and propose scenes. Those capacities do not eliminate the work. They expose where the work resides.
Worker protection in that environment begins with access, training, disclosure, and attribution. Keeping employees away from the instrument while owners use it privately does not preserve the existing relationship. It changes who is allowed to develop with the tool.
AI does not take the job.
Ownership decides what the job means, who receives the tools, and whether increased capacity belongs to the worker or becomes the reason to remove the worker.
WE&P by: EZorrillaMc&Co.
Sources
Erik Brynjolfsson, Danielle Li, and Lindsey Raymond, “Generative AI at Work,” The Quarterly Journal of Economics, Vol. 140, No. 2, May 2025, pp. 889–942. Their field study of customer-support agents found that access to a generative-AI assistant increased productivity, with the largest gains among less-experienced and lower-skilled workers. Generative AI at Work
Writers Guild of America West, “Artificial Intelligence,” updated December 18, 2025, accessed August 29, 2026. Under the 2023 MBA, a writer may choose to use generative AI when performing writing services if the company consents and applicable company policies are followed; the company may not require the writer to use AI. The company must also disclose to the writer when materials it provides were generated by AI or incorporate AI-generated material. The provision therefore gives institutional form to two elements named in the essay—access and disclosure. WGA — Artificial Intelligence
Carl Benedikt Frey and Michael A. Osborne, “The Future of Employment: How Susceptible Are Jobs to Computerisation?” Oxford Martin School, 2013. The paper estimates computerisation susceptibility across 702 occupations and is useful here as an example of how a definition of occupational tasks can shape downstream conclusions about employment risk. The Future of Employment
James Bessen, “AI and Jobs: The Role of Demand,” NBER Working Paper 24235, 2018. Bessen argues that technological automation does not mechanically determine employment; employment effects depend importantly on how falling costs affect demand and output. AI and Jobs: The Role of Demand
Daron Acemoglu and Pascual Restrepo, “Automation and New Tasks: How Technology Displaces and Reinstates Labor,” Journal of Economic Perspectives, Vol. 33, No. 2, 2019, pp. 3–30. Their task-based framework distinguishes automation’s displacement effect from the creation of new tasks and other forces that can restore labor demand. Automation and New Tasks
David Autor, “Applying AI to Rebuild Middle Class Jobs,” NBER Working Paper 32140, 2024. Autor argues that AI can extend the reach and value of human expertise and explicitly frames this as a possibility dependent on how the technology is used, rather than as a forecast. Applying AI to Rebuild Middle Class Jobs
Related work
“Larger capacity does not have a layoff inside it.”
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