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09/26/2026

Data center electricity demand grew 17% in 2025, reaching a level roughly equal to the entire annual electricity use of France. That's from the IEA. The comparison is what makes it land: the world's data centers now consume about as much power as a major industrial nation.

And the growth rate deserves even more attention than the total. 17% in a single year is an extraordinary pace for electricity demand, which historically moves slowly, in low single digits. A 17% jump is the signature of something genuinely new pulling on the grid.

Here's why this matters even if you never think about energy infrastructure. That demand has to come from somewhere. Power plants, grid capacity, and transmission lines don't appear overnight. They take years to build. So when demand grows 17% a year while supply grows at its normal slow pace, you get tension: rising energy prices, strained grids, and hard choices about what gets powered.

The AI you use runs on that strained grid. This is a real limit on how fast AI can actually scale, separate from how fast the software improves. The models can get smarter overnight. The power plants to run them cannot. At some point, energy, not algorithms, becomes the bottleneck. That France-sized number, growing 17% a year, is the early sound of that constraint arriving.

09/25/2026

Here's the number to anchor every conversation about AI and energy, before the scarier headlines pull you somewhere less accurate. Global data centers used about 415 terawatt-hours of electricity in 2024. That's roughly 1.5% of all the electricity on earth. The source is the IEA, the most authoritative energy organization there is.

I lead with this because the AI-and-energy debate runs hot in both directions, and the actual starting point matters. 1.5% is real and worth taking seriously. It's also not the apocalypse some headlines suggest, and not the rounding error others claim.

What makes the number useful is what it lets you do: reason instead of react. AI's energy footprint is genuinely significant and genuinely growing fast. Both of those can be true without the story becoming either "AI will boil the oceans" or "the concern is overblown." The honest position lives in the specific number, not at either emotional extreme.

That's worth modeling in how you think about AI in general. The loudest voices, in both directions, are usually the least accurate. The reality is almost always a specific, measurable thing sitting between the hype and the panic. Here it's 1.5% of global electricity, growing quickly. Start there, and you can actually weigh the tradeoffs instead of just feeling something about them.

09/24/2026

The hardest part of AI automation: explaining to a customer that the email they loved was, in fact, written by a robot.

09/24/2026

By the end of 2025, the FDA had authorized somewhere around 1,250 to 1,450 AI-enabled medical devices in total. Not in a single year, but cumulatively. There are well over a thousand AI medical tools cleared for use in the United States right now.

I share this cumulative number, right after the yearly one, because together they tell a story neither tells alone. The annual number shows the pace. The cumulative number shows the reality: this isn't just beginning. It's well underway.

We tend to talk about medical AI in the future tense. "AI will transform healthcare." "Someday AI will help diagnose disease." This number quietly fixes the verb tense. Over a thousand AI devices are already cleared and in use. The transformation everyone keeps predicting is, in a real sense, already here.

And there's a broader lesson about how technology shifts actually feel from the inside. They rarely arrive as one dramatic announcement. They accumulate, one approval at a time, in a field most people aren't watching, until one day the total is over a thousand and you realize the future quietly became the status quo while the public was still debating whether it would happen at all.

If you want to know where AI is heading, stop listening to predictions and start counting the approvals.

09/23/2026

Did you know the FDA cleared 295 AI-enabled medical devices in 2025 alone? Most people have no idea this is happening, which is exactly why it's worth talking about.

The AI conversation is dominated by chatbots and image generators, the visible, consumer-facing stuff. Meanwhile, quietly in the background, AI has been woven into the machines that read your scans, flag your test results, and help diagnose your conditions. 295 of them cleared in a single year, by the most cautious regulator there is.

And that FDA part matters a lot. The FDA does not move fast or take chances. Getting a device cleared means meeting a high bar for safety and evidence. So 295 clearances in a year isn't hype. It's 295 cases where AI met a rigorous medical standard and is now in real clinical use.

This is the version of AI almost nobody posts about, and it might be the most consequential. Not AI writing emails, but AI catching the tumor a tired radiologist could miss at the end of a long shift, or flagging the subtle pattern in your bloodwork.

It reframes the whole "is AI actually useful" debate. While the internet argues about whether chatbots are overhyped, AI is already FDA-cleared and quietly in the room during your medical care.

Ten signs you've outgrown your process. You can usually feel them before you see them.
09/22/2026

Ten signs you've outgrown your process. You can usually feel them before you see them.

09/22/2026

Over 90% of Americans are concerned about AI spreading misinformation. A full third are extremely concerned. That's from Pew. And it's rare to find any issue that 90% of people agree on, which is exactly what makes this one worth paying attention to.

Most public opinion splits along familiar lines: politics, age, income, region. Getting 90% of Americans to agree on almost anything is unusual. The fear of AI-driven misinformation is one of those rare, near-universal concerns.

For anyone communicating publicly, which is every business now, this reframes the whole trust problem. Your audience doesn't just have a vague unease about AI. They have a specific, widely shared fear: that AI is being used to deceive them. They're primed, before you say a single word, to wonder whether what they're seeing is even real.

That changes what actually builds trust. In a world where 90% fear manipulation, the things that signal authenticity become unusually valuable. A real human voice. Specific, checkable claims. Visible accountability, a name, a face, a track record. Honesty about when and how you use AI.

The brands that thrive in a suspicious information environment won't be the ones with the slickest AI content. They'll be the ones that feel unmistakably, verifiably real.

Seven questions an AI receptionist answers better than a human. The human gets the seventh.
09/21/2026

Seven questions an AI receptionist answers better than a human. The human gets the seventh.

09/21/2026

Here's a generational split that flips a common assumption on its head. 54% of Gen Z say heavy AI use in a brand's marketing would lower their trust, compared to 33% of Gen X and 32% of boomers. That's from Fractl, 2026.

The youngest, most digitally native, most AI-fluent generation is the most skeptical of AI in marketing, by a wide margin.

That should give you pause, because it contradicts the story we usually tell. We assume young people, who grew up with this technology, are the comfortable ones, and that resistance to AI is an older-generation thing that will fade with time.

The data says the opposite. Gen Z isn't anti-technology. They're the most technology-saturated people who have ever lived. And that's exactly why they're skeptical. They can spot AI-generated content instantly, because they're surrounded by it. Familiarity didn't make them comfortable. It gave them a finely tuned detector and a low tolerance for being marketed to by a machine.

That's an uncomfortable fact for a lot of marketing plans. The assumption that AI marketing gets easier as younger consumers take over is probably backwards. The generation you most want to reach is the one most put off by obvious AI.

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