Hey Income Traders,

This is part 2 of our examination of how fast things are moving, and what we can do about it.

The same week Anthropic locked away its most powerful AI model, a baseball crowd erupted in cheers.

Not for a home run. For a robot umpire overturning a bad call.

Fans applauded a machine over a human. Players nodded. Nobody protested. The crowd's reaction was simple: finally, get it right.

I've been thinking about that moment ever since, because it happened alongside a string of other events that, on the surface, seem completely contradictory. When you lay them side by side, though, they're not contradictions at all. They're a map.

Here's the map:

An AI artist named Eddie Dalton now has 11 songs in the iTunes Top 100 and the number-three album on the platform. No human songwriter. No band. Just code and computation, and tens of millions of listeners who don't seem to care one bit about the distinction.

South Korea is deploying thousands of ChatGPT-enabled social care robots nationally, specifically to look after its elderly population. Over-65-year-olds now make up 20 percent of the country's 51 million people. There aren't enough human caregivers. The robots are filling the gap. No national protests. No backlash. The program is expanding.

And in Indianapolis, a city councilor's home was shot at. Thirteen bullets. A note left in a zip-closed bag outside his front door read: NO DATA CENTERS.

Let me say that again. We'll let AI rule on baseball. We'll let AI keep grandma company. We'll stream AI music by the millions. But we'll fire bullets at the building that powers AI.

This isn't random. There's a principle running through all of it.

People accept AI when they can see it working and feel the benefit directly. Robot umps perform in public, improving a game people love. Care robots solve a real human crisis in someone's home. AI music is right there in your earbuds, instant and familiar.

People resist AI when they feel its costs without seeing its benefits. Data centers consume gigawatts of electricity and strain local power grids. OpenAI's new Texas facility alone runs on 1.2 gigawatts, enough power for roughly a million households. PJM electricity customers across the mid-Atlantic and Midwest are looking at monthly surcharges of $25 to $30 starting in 2025 and 2026. The infrastructure of the AI age feels like a tax with no visible return.

I call this acceptance theater. And if you understand it, you understand exactly where AI adoption accelerates and where it stalls. You understand which sectors face regulatory headwinds and which ones get a free pass. You understand which companies will scale with friction and which will scale without it.

Here's why this matters for you right now: data centers account for 70 percent of new grid connection requests in the US. OpenAI has $121 billion in planned compute spending. Japan is targeting 30 percent of global physical AI, meaning robotics, by 2040. Space infrastructure is simultaneously democratizing, with government, open-source, and private layers emerging at the same time that AI infrastructure is centralizing into the hands of a very small number of players.

The acceptance map tells us where this is going. But it leads directly to a question nobody is asking loudly enough.

It's the most consequential question of this decade. And the answer to it determines whether the next 18 months are the greatest wealth creation opportunity in a generation, or whether the gains flow somewhere else entirely, while most people watch from the sidelines.

That's exactly where we're going in Part 3.

May the income be with you

(it will if you listen and take my hand),

Hans “not my first rodeo” Albrecht