Coverage map

What we track in AI

A structured view of the AI landscape—so you can scan the signal, not the noise.

Model releases & benchmarks

What shipped, what improved, and what the numbers actually indicate—context over hype.


Chips, compute & infrastructure

GPUs, accelerators, data centers, and the supply chain constraints shaping the next cycle.


Policy, safety & regulation

Key proposals, enforcement actions, and standards that affect deployment and investment.


Enterprise adoption & economics

ROI, procurement, pricing, and the operational reality of putting AI into production.

Editorial standards for AI coverage

Clear reporting, careful language, and transparent uncertainty—especially when claims are hard to verify.


We separate announcements from evidence, highlight assumptions in forecasts, and link to primary sources whenever possible.

3-step

fact-check process: source → context → implications

Laptop showing analytics dashboards and charts
Robot hand touching a laptop keyboard representing artificial intelligence

AI section FAQ

How Tech Vector approaches AI reporting and analysis.

Do you cover consumer AI or enterprise AI?

Both. We prioritize developments with measurable impact—productivity, costs, regulation, and competitive dynamics.

How do you handle benchmark claims?

We note dataset limitations, evaluation setup, and whether results are independently reproduced.

Do you publish investment advice?

No. Our work is journalism and analysis, not personalized financial advice.

How often is the AI page updated?

Continuously as new stories publish. For the fastest updates, subscribe to the newsletter.

Can I pitch a story or send a correction?

Yes—use the contact page and include sources or supporting documentation.

Do you cover AI and crypto overlap?

When it is material—compute markets, tokenized infrastructure, or AI-related on-chain activity with real adoption.