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Chronicles

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Microsoft President Brad Smith says the US now has AI “regulation without transparent or complete rules”, and adds that “without rules, businesses can't plan”

Microsoft President Brad Smith has weighed in on U.S. policy on AI, saying that the Trump administration's …

Fortune Beatrice Nolan

Context & Ripple Effects

Brad Smith has repeatedly positioned Microsoft as an advocate for formal AI governance, including support for a dedicated agency, while Microsoft and a16z have also argued that regulatory burdens should be justified by their benefits. The current complaint is therefore part of a sustained effort to shape the rules under which AI companies operate.

Related coverage describes an administration influencing AI through case-by-case interventions rather than a clear framework. That makes the issue operational for large AI investors, not merely a policy debate.

First-order effects

  • Microsoft and other businesses deploying or funding AI face greater difficulty planning compliance, product rollout, and investment decisions when requirements are incomplete or applied case by case.
  • Smith’s remarks increase pressure on the administration to translate AI oversight into transparent, generally applicable rules rather than relying on individual interventions.

Second-order effects

  • Large AI platforms may devote more resources to policy engagement and compliance contingencies, while smaller AI companies face a comparatively harder task absorbing uncertainty without dedicated regulatory teams.
  • Unclear U.S. rules can complicate decisions tied to the broader AI spending surge, including where companies commit capital and how they structure deployments across markets.

Third-order effects

  • If case-by-case AI oversight persists, regulatory interpretation could become a competitive variable: firms with scale, legal capacity, and direct policy access may be better able to operate through ambiguity.
  • The policy debate is shifting from whether AI should be governed to whether governance can become predictable enough to support investment and competition without imposing disproportionate costs.

The trend: AI policy is moving toward a contest over predictable, economy-wide rules versus discretionary intervention, as major technology companies seek certainty alongside influence over the resulting framework.