Microsoft and OpenAI Workers Worry About ‘Largest Theft of Labor’ in History
By Gammatek ISPL , Industrial Systems & Compliance Analyst at Gammatek ISPL
Last updated: September 2026 | 14 min read
Author block: Gammatek ISPL advises manufacturing, chemical, and pharma companies on compliance and vendor risk at Gammatek ISPL. This piece draws on publicly filed litigation documents, statements from named public officials, and Gammatek's own experience advising clients on software vendor risk assessments.
Why This Matters to You Right Now
If your company has adopted ChatGPT, Copilot, or any AI tool built on large language models in the past two years, you are, whether you've thought about it or not, a downstream user of technology currently the subject of some of the most significant copyright litigation in U.S. history. Pulitzer Prize-winning authors have joined lawsuits against OpenAI and Microsoft alleging what their filings call "rampant theft" of copyrighted material used to train these systems. A sitting U.S. senator has publicly called the underlying practice "the largest intellectual property theft in American history." This isn't a distant industry drama — if the underlying legal questions get resolved against these companies, it could affect licensing costs, tool availability, and legal exposure for every business built on top of them. Understanding the real shape of this dispute, not just the headlines, matters if you're making procurement or compliance decisions involving AI tools this year.
What's Actually Being Alleged, in Plain Terms
Strip away the rhetoric, and the core dispute is straightforward: large language models are trained on enormous datasets scraped from the internet, and a significant portion of that material — news articles, books, and other copyrighted works — was used without a license or explicit permission from the rights holders. Plaintiffs argue this constitutes copyright infringement at a scale the legal system has never processed before. Defendants (primarily OpenAI and Microsoft in the highest-profile cases) generally argue this falls under "fair use" — a legal doctrine that permits certain unlicensed uses of copyrighted material, particularly for purposes like research, commentary, or transformation into something sufficiently new.
Pulitzer Prize-winning authors, including writers whose work covered major historical events, joined a lawsuit alleging OpenAI and Microsoft's practices amounted to what their court filing calls "rampant theft." Separately, U.S. Senator Josh Hawley has publicly accused AI developers of what he called the largest intellectual property theft in the country's history, in comments tied to congressional scrutiny of AI training practices.
The Labor Dimension: A Separate but Related Concern
Alongside the copyright fight runs a parallel, related concern about labor — not the "theft of labor" framing in the headline circulating online, which I couldn't verify as an actual statement from Microsoft or OpenAI employees, but a well-documented set of real labor issues:
Content moderation and data-labeling workers, often contracted in lower-wage countries, have described difficult working conditions filtering the toxic content used to train these models, according to reporting from major outlets that interviewed workers directly.
Creative professionals — writers, illustrators, translators — have raised concerns that AI systems trained partly on their work now compete with them commercially, without compensation flowing back to them.
Labor unions have engaged directly with these companies. Microsoft entered a formal partnership with the AFL-CIO specifically to address worker concerns about AI's impact on jobs, including AI education for union members and structured feedback channels between labor leaders and the company.
This is a genuinely important, well-sourced thread of the story — it's just a different (and more accurately documented) claim than the specific "largest theft of labor" framing, which appears to be circulating without a clear, attributable original source.
Comparison: Where the Major Legal Actions Stand
Case / Action | Plaintiffs | Core Allegation | Status (verify current) |
The New York Times v. Microsoft/OpenAI | The New York Times | Unlicensed use of copyrighted news articles to train models | Ongoing litigation |
Authors' Guild-affiliated suits (including Pulitzer winners) | Named authors, journalists | "Rampant theft" of copyrighted books/journalism | Ongoing litigation |
Congressional scrutiny (Sen. Hawley and others) | N/A — legislative | Public accusation of large-scale IP theft, calls for regulation | Ongoing policy debate, no binding action yet |
AFL-CIO / Microsoft partnership | Labor union coalition | Not litigation — a negotiated framework for worker input on AI deployment | Active partnership, ongoing |
Why This Isn't Just a Media Story — It's a Vendor Risk Question
Here's the part most coverage of this story skips, and where it actually connects to how businesses should be thinking about AI adoption right now: if you've integrated an AI tool into your operations, you've inherited some of this legal uncertainty as a downstream user, even if you weren't a party to any lawsuit.
Concretely, this raises questions any company should be asking before or after adopting an AI vendor:
Does your AI vendor contract include IP indemnification? Some enterprise AI vendors (including Microsoft, in certain enterprise Copilot agreements) have begun offering indemnification clauses that shift copyright liability away from the customer — but not all vendors or all tiers include this, and it's worth checking explicitly rather than assuming it's standard.
Is your compliance documentation tracking which AI tools are in use across your organization? Many companies don't have a clear internal inventory of where employees have adopted AI tools informally, which makes it hard to assess actual legal exposure if litigation outcomes shift the ground under a specific vendor.
Are you treating AI vendor selection as a compliance decision, not just a procurement one? The organizations best positioned through this period of legal uncertainty are the ones that built AI vendor risk into their existing compliance and audit processes, rather than treating AI tools as a routine software purchase outside that oversight.
A Real Consideration From Client Work
Placeholder structure to fill in:
What AI tool a client had adopted and what compliance gap it created
How the vendor contract did or didn't address IP/data liability
What Gammatek recommended and why
What other companies in a similar position should check first
The Business Machinery Behind This Story
It's worth noting the company at the center of much of this dispute — Microsoft — runs an enormous, entirely separate enterprise software business alongside its AI investments, and that business isn't exempt from the same compliance and vendor-management questions raised above. Companies running Microsoft Dynamics ERP, Microsoft 365 Enterprise applications, or enterprise workflow automation software as their operational backbone are, in a sense, facing a smaller-scale version of the same question: understanding exactly what you're licensed to do with a vendor's platform, and what liability sits with you versus the vendor, is core to any enterprise software relationship — AI-specific or not. If your organization is evaluating Microsoft's enterprise resource planning tools or workflow automation platforms as part of a broader digital operations strategy, the same vendor-risk discipline discussed above for AI applies just as directly there.
Where This Is Headed
None of the active litigation has reached a final resolution that definitively settles whether AI training on copyrighted material constitutes infringement or falls under fair use — and that uncertainty is likely to persist for at least another year or two given the pace of U.S. court proceedings. In the meantime, the practical lesson for businesses isn't to avoid AI tools, but to bring the same compliance discipline to AI vendor relationships that mature organizations already apply to any critical software vendor — data handling, liability allocation, and documentation, not just feature comparison.
How Gammatek Fits Into This
As AI tools become part of standard operations across manufacturing, chemical, and pharma plants, the compliance questions raised by this legal landscape — vendor liability, documentation, audit-readiness — are exactly the category of risk Gammatek's compliance platform is built to help track and manage, whether the underlying software is an AI tool or any other operational system.
See how Gammatek helps you build vendor risk and compliance documentation into your existing audit process → https://www.gammateksolutions.com/post/the-best-worst-and-strangest-ways-ai-is-really-being-used-at-work https://www.gammateksolutions.com/post/fortinet-cyber-security-pricing-2026-firewall-cost-guide
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