Technology Is Easy. People Are Hard.

Hi all,

I want to start with a number that should make every executive uncomfortable.

Enterprises poured $30–40 billion into generative AI in 2025. Only 5% are seeing measurable financial returns.

Let that sink in for a second.

That is an almost comical gap between investment and impact. According to MIT’s NANDA State of AI in Business 2025 report, the vast majority of organizations are simply not getting a return on their AI investment.

So where’s the other 95% going?

Most leaders assume it’s a strategy problem. Wrong model. Wrong vendor. Wrong use case. If we could just get the strategy right, the returns would follow.

Not true.

After 15 years building AI platforms and watching company after company stumble through the same patterns, I’ve learned something key: there is no AI strategy. There is only AI practice.

Strategy is what you put in a deck. Practice is what your people actually do on a Tuesday morning. And right now, the gap between those two things is where billions of dollars are quietly disappearing.

The data backs this up. When enterprise users are asked to rate the biggest barriers to AI deployment, it’s clear that the biggest challenge is the people, not the technology:

As I write in my #1 Best Selling book, Future Proof: Technology is easy. People are hard.

So what does it actually take to get people across the finish line? In my experience, successful AI adoption requires three things working together:

1. Mindset is the hardest one. It’s the difference between an employee who sees AI as a threat and one who sees it as the biggest career opportunity of their lifetime. You can hand someone the most powerful tools in the world, but if they’re terrified to touch them, nothing happens.
2. Skillset is where most companies try to start (and fail). They buy a Coursera license and call it a day. That’s like handing someone a gym membership and being shocked when they don’t get in shape. It has to be hands-on, practical, and tied to the actual work people are doing — real workflows, real use cases, real “I just saved three hours” moments.
3. Toolset is actually the easy part. The tools exist. They’re cheap, powerful, and getting better every seven months. But a toolset without mindset and skillset is just an expensive subscription that nobody uses.

Most of the market has figured out how to address each circle independently. What nobody has cracked is the intersection — getting all three working together inside a single organization, sustained over time.

That’s exactly what I’m building. I’ll be sharing more details soon about a longer-term program I’m developing specifically designed to build the AI muscles of executive teams — from mindset to skillset to sustained adoption. If you want to be the first to hear about it, reply to this email and I’ll make sure you’re on the list.

More to come.

Best,
Dr. Michael “House” Housman