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Inside Microsoft and OpenAI, worry about damaging the publishing industry

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The Straits Times. (2026, September 18). Inside Microsoft and OpenAI, worry about damaging the publishing industry. The Straits Times. https://www.straitstimes.com/world/united-states/inside-microsoft-and-openai-worry-about-damaging-the-publishing-industry

Dated when The Aporia collected the article, usually within hours of publication. Check the original for its exact date and byline.

The Straits Times · collected 2026-09-18 · by The Straits Times

Quick Summary

Karen Weise and Mike Isaac report on internal concerns at Microsoft and its partner OpenAI regarding the use of millions of copyrighted news articles to train AI systems. Documents reveal that Microsoft employees discussed fears that this practice might constitute a significant intellectual property theft, potentially harming journalism and leading to a "doom loop" where compromised data quality could undermine the effectiveness of their AI technologies.
Written by AI on 2026-09-18, from this article's own text only (the story summary below draws on all the coverage).

AI analysis

Story summary

In a recent court filing unsealed in Manhattan federal court, executives from OpenAI and its major investor Microsoft admitted that large language models (LLMs) are undermining news publishers' business models through what they call a "doom loop." This loop involves LLMs using vast amounts of copyrighted content without permission, which then cannibalizes readership and revenue for the original publishers. An internal Microsoft document states this is an "unusual situation where an end-product threatens the economic foundations of its essential suppliers."

Executives like Brent Hecht, director of applied science at Microsoft, warned that AI models could harm both internet integrity and their own business by undermining news outlets’ sustainability. This admission comes as part of a long-running copyright infringement lawsuit filed by The New York Times against the companies over unauthorized use of copyrighted content for training LLMs like ChatGPT. The court documents reveal executives' private concerns that scraping millions of articles without consent amounts to "the largest theft of labor in human history." Despite these internal fears, Microsoft and OpenAI continue to defend their practices publicly by arguing they are protected under fair use laws since the AI transforms original content into new material.

Written for “AI Impact on Web Copyright” on 2026-11-02, grounded in this article and the 5 other(s) covering the same event.

Story

📰 AI Impact on Web Copyright
Technology · 6 article(s) covering the same event. Compare every outlet's account →

Compared with similar articles

This article reads leans left and hedges 100% of its claims. Each row says how that neighbour differs.
Washington Examiner
⚖️ Leans left Hedges 3 of 15 claims Outlet record 70/100
New York Post
Hedges 4 of 21 claims Outlet record 66/100
The Straits Times
⚖️ Leans left Hedges 3 of 21 claims Outlet record 66/100
New York Post
⚖️ Leans left Hedges 3 of 4 claims Outlet record 66/100
The Straits Times
⚖️ Leans left Hedges 1 of 14 claims Outlet record 66/100
“The articles discuss different concerns within Microsoft regarding AI, with Article A focusing on caution and ethical guidelines for AI development, while Article B discusses worries about the impact of AI on the publishing industry.”
ABC News (AU)
⚖️ Leans left Hedges 4 of 33 claims Outlet record 68/100
“The articles discuss related issues but describe different events: one is about proposed government reforms allowing AI companies to train on data without payment, while the other reports internal concerns at Microsoft and OpenAI over potential damage to the publishing industry.”
The Guardian
Hedges 1 of 34 claims Outlet record 66/100
“The articles discuss different aspects of AI companies' use of creative works, with Article A focusing on proposed changes to Australian copyright laws and concerns from Senator Pocock, while Article B discusses internal debates within Microsoft and OpenAI about the potential impact on the publishing industry.”
Washington Examiner
⚖️ Leans right further right than this Hedges 0 of 21 claims Outlet record 70/100
“The articles discuss different topics related to AI, with Article A focusing on public fears and trust in AI companies led by Sam Altman's comments, while Article B discusses internal concerns within Microsoft and OpenAI about the impact of AI on the publishing industry.”
NBC News
⚖️ Leans left Hedges 5 of 28 claims Outlet record 60/100
“The articles cover different concerns related to OpenAI's AI development, one focusing on new incidents and safety measures, while the other discusses internal debates about copyright and industry impact.”
Times of India
⚖️ Leans left Hedges 0 of 14 claims Outlet record 59/100
“The articles discuss different concerns related to AI: one about unexpected behavior and oversight issues, and the other about the impact on the publishing industry.”
How this article was measured signals, leaning charts, publisher record, byline, topics and claims

Signals How these are calculated →

Claims extracted
1
sentences that state something as happening or true
Uncertain
100%
1 of 1 hedged ("reportedly", "may", "according to")
Leaning
Leans left
of the writing, not the subject · beta estimate
Publisher signals
66/100
The Straits Times's corrections and hedging, across everything collected from it. Not a measure of accuracy.
Outlets on this story
6
Technology
Same framing elsewhere
1
articles that frame the event the way this one does
Analyzed 2026-09-18 · how these are computed

How this is being covered How these are calculated →

Article leaning vs. publisher reliability
Source leaning vs. consistency

Publisher

The Straits Times · 4165 article(s) · 5 correction(s) detected
Running correction rate · 5 correction(s)

Who wrote this

The Straits Times
2702 article(s) here · 1 carrying a prediction
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Topics

Microsoft OpenAI SAN FRANCISCO

Subjects

OpenAI ORG · 4× Microsoft ORG · 3× Karen Weise PERSON · 1× Mike Isaac PERSON · 1× SAN FRANCISCO GPE · 1×

Narrative

Inside Microsoft and OpenAI, worry about damaging the publishing industry Karen Weise and Mike Isaac SAN FRANCISCO - Newly unsealed court documents showed considerable concern within Microsoft and its close partner OpenAI over the use of millions of news articles to develop artificial intelligence systems. As OpenAI was forging ahead with its work, Microsoft employees debated whether what OpenAI was doing represented the “largest theft of labour in human history” and could create a “doom loop” that could ultimately threaten the quality of the large language models they were building.
framing: speculative · carried by 1 article(s) · first seen 2026-09-18
🔮 Inside Microsoft and OpenAI, worry about damaging the publishing industry Karen Weise and Mike Isaac SAN FRANCISCO - Newly unsealed court documents showed considerable concern within Microsoft and its close partner OpenAI over the use of millions of news articles to develop artificial intelligence systems. As OpenAI was forging ahead with its work, Microsoft employees debated whether what OpenAI was doing represented the “largest theft of labour in human history” and could create a “doom loop” that could ultimately threaten the quality of the large language models they were building.
2026-09-18 · The Straits Times
Inside Microsoft and OpenAI, worry about damaging the publishing industry · speculative framing

Claims (1 extracted, 1 hedged)

Inside Microsoft and OpenAI, worry about damaging the publishing industry Karen Weise and Mike Isaac SAN FRANCISCO - Newly unsealed court documents showed considerable concern within Microsoft and its close partner OpenAI over the use of millions of news articles to develop artificial intelligence systems. As OpenAI was forging ahead with its work, Microsoft employees debated whether what OpenAI was doing represented the “largest theft of labour in human history” and could create a “doom loop” that could ultimately threaten the quality of the large language models they were building. uncertain
they → damage → models
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