When Intelligence Is Free

Essays on the post-AI economy

When Intelligence Is Free

Who gets rich?

Most AI analysis asks which model wins, how quickly capability improves, or when the buildout corrects. The more consequential question comes next: when intelligence becomes cheap and ubiquitous, which companies, assets and new categories capture the value?

Map

Navigate the changes

What to own

Where value concentrates

Energy and the physical substrate; actuation; transaction rails; trust and verification; the human premium; and hard-money expressions of the buildout's financing path.

What to build

What becomes possible

Cost-collapse services, long-tail markets, continuous systems, coordination-unlocked businesses and abundance-native primitives.

How value moves

Buildout, digestion, diffusion

The physical substrate arrives first. The return on that buildout is tested next. Then value migrates into rails, trust, adopters and new categories.

What could break it

The thesis is falsifiable

Capability plateaus, adoption stalls, defensibility disappears, or the intelligence providers capture the complements themselves.

About

Vladimir Goloborodko

I invest in the post-AI economy behind the thesis published through When Intelligence Is Free.

Two decades got me here: a decade running a large P&L, product leadership at scale, a startup I founded and funded, time inside a fintech venture group, and a broker I helped scale through its acquisition and integration—the full arc of how companies are started, built, scaled and exited.

Add capital deployed through multiple market cycles, and that is the blend: I read where value is moving, and I understand how it is built and captured inside companies.

I also selectively advise companies on where AI changes enterprise value, operating leverage, defensibility and market structure. If that is the question you are working on, my inbox is open.