AI Is No Longer Just Software

What I've Learned From Starting a Facebook Page From Scratch

About 45 days ago, I started a new Facebook page from zero.

In that time, it's grown to nearly 600 followers and generated more than 1.4 million views.

I'm still early in the experiment, but a few lessons have already stood out:

People share content because they think someone else will enjoy it.

Likes are nice, but shares drive growth. The posts that spread the furthest are usually the ones people send to a friend or repost themselves.

Simple beats clever more often than I'd like to admit.

Some of the posts I thought were the smartest barely moved. Others that were incredibly simple took off.

The audience tells you what they want if you're willing to listen.

I had ideas about what would perform best. The audience had different ideas. Some formats gained traction almost immediately while others never really found an audience.

Consistency matters more than inspiration.

The biggest advantage isn't creating one amazing post. It's showing up often enough to collect data and learn from it.

Growth feels slow until it doesn't.

The first few hundred followers took work. Then each successful post started feeding the next one. Momentum is real, but it takes longer to build than most people expect.

The biggest lesson?

Most people quit before the data gets interesting.

AI Is Becoming a Land Story

A story from Texas caught my attention this week.

Decades ago, a farmer donated 87 acres of land to his community for $10 so local children would always have a place to play. Recently, the city sold that same land to a data center developer for $10 million.

The debate quickly became about whether the city made the right decision.

What stood out to me was something else.

Most people still think AI is a software story. We focus on chatbots, image generation, coding assistants, and the latest model releases.

But every AI breakthrough depends on physical infrastructure. Servers need data centers. Data centers need land, power, cooling, and connectivity.

As AI investment accelerates, communities will increasingly face decisions about how those resources are allocated.

The companies building the future of AI aren't just competing for users. They're competing for land, electricity, and infrastructure.

That's a trend worth paying attention to.

Source: [Story here]