
Your next customer is an AI agent

My top 5 most-used AI tools you’ve probably never heard of

The best gift? Something people actually use.

70% of jobs will change by 2030. But AI won’t mean less work.

AI Isn’t The Problem. Your Ambition Is.

I Tried Vision Pro, Quest 3 & Galaxy XR - Only One Is Worth It

Making apps: a new kind of show business
Shorts · 7

Your next customer is an AI agent

My top 5 most-used AI tools you’ve probably never heard of

The best gift? Something people actually use.

70% of jobs will change by 2030. But AI won’t mean less work.

AI Isn’t The Problem. Your Ambition Is.

I Tried Vision Pro, Quest 3 & Galaxy XR - Only One Is Worth It

Making apps: a new kind of show business
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AI Isn’t The Problem. Your Ambition Is.
Nov 26, 2025 · 2:12
The discussion introduces how advanced AI models are outpacing current human ambition and business adoption rates. Along the way it covers Why Enterprise AI Deployments Fail and Three Stages of AI Adoption. Shifting roles from doer to orchestrator and applying customer-first principles to unlock AI's full potential.
The Capability Overhang in AI
The discussion introduces how advanced AI models are outpacing current human ambition and business adoption rates.
Why Enterprise AI Deployments Fail
Enterprise barriers such as legacy infrastructure, messy data, and security concerns slow down AI implementation.
Three Stages of AI Adoption
A breakdown of tech adoption phases, absorb, innovate, and disrupt, and how organizations can move beyond basic automation.
Setting Ambition and Working Backwards
Shifting roles from doer to orchestrator and applying customer-first principles to unlock AI's full potential.
We are massively underusing today's AI, not because the models are weak, but because our ambition is Microsoft CTO Kevin Scott calls this capability overhang.
So the models are more powerful than what we collectively are using them for.
This overhang exists at every level at the research and model level. Ilya Sutskeverg, the co founder of OpenAI, points out that models now crush hard benchmarks. They're surpassing humans in law with bar exam competitive coding, data analysis.
They are doing so well on evals, but the economic impact seems to be dramatically behind at the application level.
Kevin Wilde, chief product officer of OpenAI,.
Says models today are not intelligence limited, they're eval limited. They can actually do much more and be much more correct on a wider range of things than they are today.
And at the user level. While about half of the Americans have tried AI, only about 1 in 8 less than 12% use it daily in businesses. Only 25% of the CIOs have deployed anything significant and 40% aren't planning it until 2026. Why did our AI pilot fail? Or your friend telling AI doesn't work? It's almost never the AI, it's the CTO and the product question the legacy systems, messy data security, privacy worries that still consume most of the tech budget. Classic tech deployment problem.
The same reason why cloud still runs only about a third to half of the enterprise workloads 10 years later. And when we do use AI, most of us just do the same job a bit faster. Ben Evans showed that tech adoption in three stages. First absorb, automate the obvious stuff, type in a prompt, get a paragraph and done. Marshall McLuhan called this the horse's carriage syndrome. Using advanced tech for the most basic things. It's useful but it's limited. But this is where most teams are. Next level is innovation means shipping something that only works because AI exists.
This is where we start unlocking true value. Finally disrupt build like you started from zero. If you rebuilt the product from scratch, what would it look like? The real opportunity isn't doing your job faster, it's doing a different job entirely. Moving from doer to orchestrator, engineering to engineering manager writer to editor Kevin Scott said the challenge Think about how you.
Can set your ambition level to 11 target some things that are you think are barely possible.
And Steve Jobs gave us the playbook for new tech.
You can't start with the technology and and try to figure out where you're going to try to sell it. You've got to start with the customer experience and work backwards to the technology.
The models are ready. We're the ones lagging.