The evidence

The case for private AI, in the numbers.

Cost, control, privacy, compliance, sovereignty — the headlines and the hard data point the same way in 2026. Here it is in one place, with the receipts.

By the numbers

What changed in 2026.

38%
of enterprise AI token volume now runs on open-weight models — up from 11% a year ago.
AI.cc · 2026
−67%
drop in the price of enterprise AI tokens in a single year.
AI.cc · 2026
51 → 72%
jump in intent to grow private-cloud investment over three years.
Broadcom · 2026
56%
of enterprises now run production AI on a private cloud.
Broadcom · 2026
86%
of IT leaders say sovereignty and regulation now drive IT strategy.
Broadcom · 2026
~50%
lower three-year cost for on-prem AI vs cloud APIs at scale.
Deloitte
The argument

Four things you can’t fix by renting.

Not opinion — incidents, rulings, and survey data from this year. Each link goes to the source story.

01

The meter never stops.

Cloud AI bills by the token, so the bill climbs every time your team uses it. Own the model and the marginal cost falls to roughly electricity.

02

Your switch can be flipped.

Rent your AI and someone else decides when it changes, breaks, or vanishes — a deprecation, an outage, an export order, a court.

03

Your data was never yours.

With cloud AI, what happens to your prompts is the vendor’s call — and the default keeps shifting toward training on them.

04

Compliance keeps raising the bar.

HIPAA, CMMC, the EU AI Act, the US CLOUD Act — the rules for regulated and sovereign work all point the same way: keep the data inside.

The takeaway

The market already voted. Own your AI.

Frontier-grade open models, on hardware you own, built and run for you — so the meter stops, the data stays, and no one else holds the switch.