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An Economic Analysis of US Antitrust Enforcement in Data-Driven Markets | PYMNTS.com
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Fusion42 · 25 July 2026 · Fusion42 review
US antitrust regulators are increasingly treating data access as a competitive harm in digital markets, particularly in AI; recent DOJ/FTC actions and EU proposals (Digital Markets Act, Article 102 TFEU) now treat control over high-quality training data—especially journalism—as a monopoly lever that smaller AI developers cannot match.
This Wire brief sits within Fusion42's coverage of AI Frontier Models and AI Infrastructure. Wire is Fusion42's founder-focused intelligence feed: each story is connected to the funds and startups it names — every one with a live profile on Raise or Scout — so founders can follow the capital and the momentum behind the headline rather than just the headline itself. Wire analysis is one of the live surfaces Arthur reasons over.
◆ ◆ The Wire takeaway
If you're building an AI product that depends on licensed news or professional content, regulators now treat your vendor's refusal to license fairly as a competitive violation, not just a contract dispute. The FTC is watching whether big model makers are using their scale to lock you out of the training data you need—and that's your opening to push back hard on unfair terms.
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