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Before we get into this issue of The Logical Box I wanted to wish those father’s out there a happy Father’s Day! Have a great week everyone.

THIS WEEK IN AI

For two years, the AI story was about what the labs could build. This week it changed. Governments, regulators, and plain economics started setting the terms, and that shift matters more to you than any new model release.

What happened:

World leaders met in Evian, France from June 15 to 17, and AI sat on the main agenda. The CEOs of OpenAI, Google DeepMind, and Anthropic met with heads of state, and several leaders backed the idea of a shared international body to set safety and testing standards for advanced AI. The group also agreed to a declaration on protecting minors online.

Why it matters to your business:

When governments start coordinating on rules, the "we'll sort out AI policy later" era ends. If you run an institution or a company with a board watching your AI spend, formal standards and reporting are coming. Start building toward them now instead of scrambling once they land.

Source: G7 Évian official outcomes

What happened:

On June 12, the US Commerce Department ordered Anthropic to suspend access to two of its most powerful models over an export control concern, and the company complied within hours. Days later it came out that the government had first offered Anthropic a choice, fix the flaw or pull the model itself, and Anthropic's CEO turned down both before the order came down. The restrictions then spread to overseas partners, including a major Korean telecom.

Why it matters to your business:

Your AI vendor can go dark with almost no warning, and not because the company failed but because a regulator stepped in. If a tool is wired into how your team works, you need a backup plan for the day it isn't there.

Source: Anthropic newsroom

What happened:

Fresh reporting this week documented the economics behind OpenAI's Sora video tool, which the company moved to shut down earlier this year. The figures: an estimated 15 million dollars a day in computing costs against roughly 2.1 million dollars in total revenue over its life. A leading lab, with deep funding, couldn't make a flagship AI product pay.

Why it matters to your business:

Capability and viability aren't the same thing. Before you fund an AI project because the demo looked sharp, pressure-test the real cost to run it at scale and the real return. The people who built Sora learned that one the hard way.

Source: Unrot blog

I've watched a lot of leaders treat AI as an IT project. Pick a tool, run a pilot, see if people like it. That made sense two years ago. After this week, it doesn't.

Look at what actually happened. The G7 started drafting shared rules. A government pulled a live model offline in hours. And the cost reporting on Sora showed even the best-funded labs can build something impressive that loses money on every use. None of that is a tooling question. All of it is a governance and risk question, and those land on your desk, not your IT team's.

Here's the part that gets missed. The biggest risk in your AI plan isn't the model. It's your own lack of a plan for when something changes. A survey of more than a thousand CIOs found that 89 percent describe their AI approach as "learning as we go," and 16 percent have no plan at all if a key AI provider suddenly becomes unavailable. After a week like this one, that 16 percent looks reckless.

I'm not fully sold on every rule the G7 will eventually write. Some of it will be slow and political. But the direction is clear, and waiting to react is the expensive choice.

This is where the operations habit pays off. Before you add AI anywhere, get clear on the work it touches. Who owns that work. What breaks if the tool disappears for a week. Where the output goes and who checks it. If you can't answer those, you don't have an AI problem yet. You have an ownership problem, and AI will only make it louder.

The leaders who do well from here aren't the ones with the most tools. They're the ones who can tell their board, in plain language, what they're using, why, what it costs, and what the backup is. That's governance. It's boring. It's also what keeps you out of the headlines for the wrong reasons.

Fix the work first. Put the ownership and the guardrails in place. Then let AI do what it's good at.

Source: Logicalis Global CIO Report 2026

Before you approve your next AI spend, run it through four questions in your next leadership meeting. They take ten minutes and they surface the exact risks this week put on display.

If you can answer all four, fund it. If you can't, you just found the work to do before you spend a dollar.

AI just became a board-level decision. If you're the one who has to answer for it, a discovery call is the fastest way to get clear on where AI fits in your organization, where it doesn't, and what to put in place before you scale it.

Book your discovery call here: DISCOVERY CALL LINK

Thanks for reading,

Andrew Keener

Operations & AI Strategist

Keen Alliance Consulting