The federal government just admitted it doesn't have anyone clearly in charge of AI. Neither do you.

This week, CNN reported that Trump announced a "Super Intelligence Force" to lead America's AI development. The signal is blunt: someone has to be explicitly in charge, with real authority and a clear mandate, or nothing coherent gets built. The government had to say that out loud at a national level. You haven't said it yet inside your own company.

Sit with that for a second.

The authority vacuum you've been pretending isn't there

Most founders have been letting AI happen to their business rather than leading it. A team member starts using a tool. Someone in ops builds a workflow. Marketing experiments with copy generation. Nobody reports it, nobody coordinates it, and nobody is accountable when it produces something inconsistent, wrong or off-brand. The result is a scattered, fragmented mess dressed up as innovation.

This isn't laziness. It's a leadership gap. And it's costing you more than you're tracking.

When authority over AI implementation is undefined, three things happen reliably. Quality control disappears because there's no standard to enforce. Redundant tools multiply because nobody has visibility across the whole business. And the people doing the experimenting operate in a gray zone where they can't move decisively and can't be held accountable. Everyone loses.

Why this problem looks smaller than it is

Authority vacuums don't announce themselves. Work still gets done. Deliverables still go out. The business still moves forward. The damage is slower and subtler.

It shows up in the brand that starts sounding inconsistent because three people are using three different AI prompting approaches with no shared standard. It shows up in the client who gets an AI-generated response that doesn't match what they were promised. It shows up in the hire who doesn't know whether they're allowed to use these tools or expected to, so they just guess.

You can run a business with those gaps for a while. Most founders do. But you cannot scale through them.

What real authority over AI actually looks like

This doesn't require a new department or a full-time hire. It requires one explicit decision about who owns AI implementation in your business and what that ownership actually means.

  • One person has the mandate. Not informally. They know they own it, the team knows they own it, and that ownership comes with real access to information and real responsibility for outcomes.
  • There's a working standard for how AI gets used. Not a paragraph in a handbook nobody reads. An actual reference the team consults when they're deciding on a prompt, a tool or an output that represents your brand.
  • New tools go through a single intake point. If anyone can add an AI tool to the stack whenever they feel like it, your stack is chaos with a subscription cost. One checkpoint, one approval, one person responsible for whether it fits.
  • Outputs get audited. Not everything, not constantly, but regularly enough that you know what's going out under your brand's name and whether it meets your standard.

None of this is complicated. Most of it you can set up in a single working session. What it requires is the willingness to make an explicit decision and then hold the line on it.

The founder tendency that makes this worse

A lot of founders are avoiding this decision because making it feels premature. The space is moving fast, so why plant a flag now? Better to stay flexible, keep options open, see how things develop.

That framing feels smart. It isn't. Flexibility without structure isn't strategy; it's drift. And the cost of drift in AI implementation is a business where the most consequential new capability in your industry is managed by nobody, accountable to nothing, and producing results that reflect exactly that.

The government looked at its own AI situation and decided that informal, distributed, uncoordinated action wasn't going to cut it. They named someone. They gave the mandate. They made it official. You can do the same thing this week inside your own organization, and you don't need an executive order to do it.

The reframe that makes this easier

Stop thinking of AI governance as a constraint on how your team works. Think of it as the thing that actually lets them move faster. Right now, people are slowing down because they're uncertain. They don't know what's allowed, what's expected or what a good AI output looks like in your business. That uncertainty is friction. Structure removes it.

When your team knows who owns AI decisions, what the standard is and where to go with questions, they stop hesitating and start executing. The authority you establish isn't there to slow things down; it's there to make speed possible without the errors that come from everyone figuring it out independently.

Start here: map every place AI is currently being used in your business, who made the call to use it there, and who would be responsible if something went wrong. That map will show you exactly what needs a clear owner. Most founders who run this exercise finish in under an hour and find more than they expected.

If you want a second set of eyes on what you find, that's exactly the kind of problem Mike works through with founders at A&A. Reach out and let's look at it together.

Source: cnn.com