Journalist
Finds out what happened from people who would rather not say, and publishes it under a name that can be held to account.
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.
Written for reporters and editors at news organisations and digital outlets. Broadcast presenting, photojournalism and wire-service commodity reporting face distinct pressures; the economic pressure on the industry predates and exceeds the technological one.
What is actually changing#
The unit of analysis is the task, not the job title. A role is not replaced — its task mix shifts.
Rewriting press releases and results
Automating✓ Evidence-backedTurning earnings tables, sports scores, weather, police blotters and press releases into short articles.
Templated generation from structured data has been in newsrooms for a decade and language models made the unstructured cases tractable too. The input is already public and the output has little judgement in it, so the cost of automating is low and the loss of quality is small.
This was often what junior reporters did while learning the beat. Removing it removes a training ground, not just a cost.
Getting people to tell you things
Still human-led≈ Platform inferenceBuilding the relationships and trust that make someone hand you a document or say what they saw.
Sources take risks for a person they trust, not for an outlet and certainly not for a system. The information that matters most is the information someone does not want published, and extracting it is a human relationship task with no plausible automation path.
Verifying claims and material
Being augmented✓ Evidence-backedEstablishing that a document is real, a video is unaltered, a quote was said, and a number is right.
Tools for reverse image search, metadata analysis and cross-referencing are much better and are genuinely used. At the same time synthetic media has made the job harder in absolute terms, so the net effect is more verification work, better tooled, still requiring someone to decide what counts as confirmed.
Writing the piece
Being augmented≈ Platform inferenceDeciding what the story is, what goes first, what is left out, and getting it to length on deadline.
Drafting, tightening and headline variants are faster with assistance. The editorial decisions — what the story actually is and what the outlet is prepared to stand behind — are made by people because they are the decisions that get sued over, and because a newsroom's voice is a deliberate choice rather than an average of the web.
Detecting synthetic and manipulated media
New task≈ Platform inferenceDeciding whether a viral clip, image or audio is real before it is reported as fact.
Generative media created a category of work that barely existed before: newsrooms now have to assume a plausible-looking artefact may be fabricated. Specialist verification desks are appearing, and the skill is scarce enough to be a genuine differentiator for reporters who have it.
Which technologies matter here#
Four separate signals. They are deliberately not added together — a job exposed to two technologies is not twice as exposed.
How it got here#
The index is not a static number. This is where it would have sat at each capability checkpoint since ChatGPT — reconstructed, and labelled as such.
● 1 verified event for this occupation, plotted at the date it happened — the parts of the line near a marker are anchored to something checkable.
Drafting and headline variants moved early and fast. The flattening after 2025 H1 is not capability slowing down — it is the cost of being wrong becoming visible. Corrections and one high-profile case of published fabrication made newsrooms put a named person between the tool and the page.
A flat line is not a forecast of safety. It says which tasks automation has reached so far — the occupations that moved least here are the ones where the constraint is physical or regulatory, and both of those can change.
Recent changes#
US newspapers; a syndicated special section produced by King Features (Hearst), not by newsroom staff. King Features said it ended its relationship with the writer; the paper's CEO called it a failure of review, not of reporting.
Failure, rollback, regulation or cost is suppressing adoption. Can lower an assessment or widen its uncertainty.
NBC News ↗What this means for you#
Be honest with yourself that the industry's problem is mostly economic, and the technology accelerates the shrinking of the entry-level, rewrite-heavy jobs that used to pay while you learned. The parts that remain — sourcing, verification, editorial judgement — are also the parts that make someone a good journalist, so the path is shorter and steeper rather than closed. Pick a beat where knowing people matters and generic content cannot substitute: local institutions, a technical field, a place.
Your sources, your beat knowledge and your byline's credibility are the assets, and none of them automate. What is changing is the ratio of reporters to output an outlet expects, and the growing demand for verification skill. Reporters who can prove things are becoming more valuable relative to reporters who can write things; if you are the former, say so plainly in how you position yourself.
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.
Own a beat that requires knowing people
Automated output is strongest where information is already public. It is weakest where the story lives in relationships — courts, councils, hospitals, a specific industry.
Takes years to build and is tied to a place or a field, which limits mobility.
List the people who would take your call today and tell you something not yet public. That number, more than your clippings, is your position in the profession.
Become the verification specialist
Synthetic media made verification a distinct, scarce skill. Newsrooms need it, so do platforms, NGOs and legal teams.
Technical and unglamorous, and the tooling changes fast enough that the learning never stops.
Take one viral clip from this week and write a short, methodical note on how you would establish whether it is genuine. Publish the method, not the verdict.
Research and investigation outside newsrooms
Due diligence firms, think tanks, compliance teams and public-interest organisations pay for exactly the finding-out and verifying skills, often more steadily than news does.
Less public, sometimes confidential, and the writing is for a client rather than a reader.
Find three job postings for research or investigations roles outside media and mark which requirements you already meet. Usually it is most of them.
Common questions#
It already writes the part of the news that was never really journalism — results, summaries, rewrites of things already public. What it cannot do is find out something a person does not want known, decide whether it is true, and take responsibility for publishing it. Those three tasks are the profession, and they are getting scarcer and more valuable, not less. The honest concern is not that machines will do the job; it is that fewer people will be paid to do it, and that the entry-level work which used to fund learning it is disappearing.
Studying towards this?
These majors lead here. Their pages break down which of their competencies transfer and what graduates typically lack.
Method and sources#
- Assessment date
- 2026-09-10
- Basis of the task judgements
- 2 evidence-backed · 3 platform inference · 0 not enough evidence
- Verified events
- 1