Recent AI tie-ups, including a federal blacklist and major media merger, show how deals are drawing more public backlash and regulator attention in 2026.
In short: Big AI deals and government relationships are increasingly coming with public backlash, political fights, and closer regulator attention.
By March 2026, many of the biggest AI tie-ups, meaning mergers, partnerships, and major vendor deals, have not gone smoothly. Instead, they have sparked disputes about safety, national security, and whether too much power is being concentrated in a few hands.
One example is a standoff involving Anthropic and the US government. On Feb. 27, 2026, the Trump administration reportedly blacklisted Anthropic and told federal agencies to stop using its Claude AI. The dispute centered on Anthropic refusing to sign a broad partnership agreement without extra terms that would bar mass surveillance and fully autonomous weapons (weapons that can pick and attack targets without a human deciding). Rivals such as OpenAI and xAI reportedly agreed to “all lawful use” standards, which intensified industry tensions.
Another flashpoint is a huge media merger. Paramount and Warner Bros. Discovery signed a reported $111 billion deal on Feb. 27, 2026. The combined company would bring major brands like HBO, CNN, CBS, and Paramount+ under one roof, and it would run its systems on Oracle’s cloud. Critics have raised concerns about a single group having more control over sensitive data, especially as Oracle was authorized to use generative AI on top-secret federal data soon after.
Regulators are also looking more closely at deal structures that can avoid normal merger review. Agencies like the FTC and DOJ, and the UK’s CMA, have been probing “pseudo-mergers,” where a large company hires a startup’s team and licenses its technology instead of buying the company outright (like buying the staff and the recipe, but not the restaurant).
Expect more investigations and more public fights as AI companies pursue more deals. Watch for regulators forcing changes, delaying approvals, or even trying to unwind arrangements they think reduce competition or put sensitive data at risk.
Source: TechCrunch AI
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