
The AI Wars for the Enterprise Vault
As I’ve been arguing for the last few years, one of the defining structural elements of the AI Supercycle is the enterprise piece.
At the intersection of business strategy, technology, and non-linear analysis, The Business Engineer is the fruit of ten years of research into the business tech world by Gennaro Cuofano, creator of the leading business model strategy blog FourWeekMBA.
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As I’ve been arguing for the last few years, one of the defining structural elements of the AI Supercycle is the enterprise piece.
I remember analyzing Palantir’s business model back in 2019–20 and finding its strategy almost counterintuitive.

Since the ChatGPT moment, the industry has gone through a series of inflection points that progressively moved the frontier of AI one layer up the stack.

I’ve spent the last few years mapping the Enterprise AI ecosystem around a very simple thesis:

As I’ve been arguing for the past few years, Enterprise AI has become the defining force shaping this phase of AI adoption.
For the last few years, I’ve been searching for useful historical analogies to make sense of what we’re living through.

Yesterday’s announcement confirmed something I’ve been arguing for the last four years: this AI cycle is not a normal technology cycle, comparable to the web or mobile.

In the last couple of years, the structure of the AI market has become increasingly clear.

The reflex question about this moment — is the bubble bursting? — is the wrong instrument.

We are rapidly moving from a web built for humans to a web increasingly built for AI agents.

A couple of weeks ago, I highlighted a growing tension inside Google, one with the potential to push the company’s culture past a point of no return.
This is not an earnings write-up.

I’ve been analyzing Palantir for almost a decade.

Something has quietly changed in how serious operators use AI.

For most of this cycle, the market has argued about a single variable: is the AI buildout justified or not?

Can Reddit Own Its Front Door?

There is a meme going around X that says Apple is winning the AI race without even trying.

For twenty years, the standard way to explain Amazon has been “two companies stapled together” — a low-margin retail machine that pays for itself, and a high-margin cloud that pays for everything else.

The AI supercycle is not one technology on one adoption curve.

Own the Junctions, Not the Infrastructure

Whatever the stock does at the open has almost nothing to do with what follows.

Every market correction revives the same question: “Is this the AI bubble finally popping?”

The Inference Wars