Political Tech
Microsoft's president is raising alarms about regulatory opacity — but the company he leads has more influence over that opacity than almost anyone.
NewsOnScale Staff
July 30, 2026
When one of the most powerful technology executives in the world stands up and says the current regulatory environment lacks transparent or complete rules, the instinct is to nod along. Regulatory clarity is good. Opacity is bad. Everyone agrees.
But that instinct deserves a harder look.
Microsoft President Brad Smith has been making the rounds with a pointed critique of Washington's AI policy posture — arguing, in essence, that the United States is governing artificial intelligence through ambiguity, leaving companies and the public without clear guardrails or predictable frameworks. It's a message that sounds like a good-faith call for accountability. In some ways, it is. In others, it's worth reading more carefully.
## What Smith Is Actually Saying
The core complaint is familiar to anyone watching federal AI policy: agencies are issuing guidance without statutory backing, enforcement priorities shift with administrations, and the gap between stated principles and actual rules creates legal and operational uncertainty for companies deploying AI systems.
These are real problems. The absence of a comprehensive federal AI framework means that governance is happening through a patchwork of executive orders, agency letters, and informal pressure — none of which creates durable, enforceable standards. Practitioners across industries, from healthcare to financial services to civil society, have raised the same concern.
Smith is not wrong about the diagnosis.
## Who Benefits From the Diagnosis
Here's where the accountability lens matters.
Microsoft is not a neutral observer of the AI regulatory environment. It is one of its primary architects. The company has poured billions into OpenAI, embedded AI across its enterprise software stack, and maintains one of the deepest lobbying and policy presences in Washington of any technology company. When Brad Smith calls for clearer rules, the question that follows is: clearer rules written by whom, and in whose image?
The history of technology regulation is littered with examples of large incumbents calling for regulatory clarity as a mechanism for locking in their own practices as industry standards, raising compliance costs for smaller competitors, and ensuring that whatever framework emerges reflects their existing infrastructure investments. This isn't a conspiracy — it's a structural incentive that operates whether or not any individual executive intends it.
Smith's framing — regulation without transparent or complete rules — positions Microsoft as a victim of governmental dysfunction. But Microsoft has had extensive access to the policymakers shaping that dysfunction. The company participates in White House AI safety summits, contributes to standards bodies, and employs some of the most sophisticated government affairs teams in the industry. If the rules are incomplete, that incompleteness did not happen in a room Microsoft wasn't in.
## The Governance Gap Is Real, But Contested
None of this means Smith's underlying point should be dismissed. The United States genuinely lacks a coherent AI governance architecture. The EU's AI Act, China's layered regulatory approach, and even smaller nations' emerging frameworks are producing binding rules while Washington debates committee jurisdiction. That gap has real consequences — for consumer protection, for civil rights, for the integrity of automated systems making high-stakes decisions.
But closing that gap requires distinguishing between transparency that serves the public and transparency that primarily serves compliance teams at large enterprises. A clear rule that entrenches surveillance capitalism or limits liability for algorithmic harm is not better than ambiguity — it's just more efficiently harmful.
## What to Watch
The more useful question raised by Smith's intervention isn't whether he's right that rules are incomplete. It's whether the push for regulatory clarity he's championing will center the interests of people most affected by AI systems — workers, tenants, patients, students — or the interests of companies best positioned to shape what those rules say.
That answer won't come from a Fortune interview. It will come from watching the legislative text, the comment letters, the agency appointments, and the lobbying disclosures over the next 18 months.
Smith is calling for transparency in governance. NewsOnScale would extend that call to include transparency about who is doing the governing.