There isn't enough revenue to pay for the AI being built
Faktum AI analysis of Ed Zitron's May 2026 Tech Report interview — why hyperscaler revenue math, hidden AI numbers, and OpenAI's IPO rush point to the same structural gap.
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Faktum AI analysis of Ed Zitron's May 2026 Tech Report interview — why hyperscaler revenue math, hidden AI numbers, and OpenAI's IPO rush point to the same structural gap.
Faktum AI analysis of Natasha Bernal's Tech Report interviews — why AI layoffs don't improve ROI, Meta surveillance backlash, and what employers miss on workforce planning.
Faktum AI analysis of Sundar Pichai's Google I/O 2026 keynote: agents, Gemini 3.5 Flash, search as a platform — and what it means for Finnish teams.
Case study: bilingual AI publishing at www.faktum-ai.com — Astro, Cloudflare, and Cursor agents. One person directs; the work moves.
The EU AI Act is live. For a five-person Finnish dev shop, compliance is not abstract — it's billable hours, lost deals, and a playing field tilted toward giants.
Faktum AI analysis of the contradiction between OpenAI's growth targets and compute commitments — hyperscaler circular financing, subscription model, and the approach of token austerity.
Faktum AI analysis of the AI industry's exceptional structure — capex, physical build-out, circular financing, and time horizons that do not align in any prior technology cycle.
The question the entire interview revolves around: where do all those GPUs and data centers actually go? Analysis of Ed Zitron's Tech Report interview — hyperscaler circular financing and data center deployment.
Every article starts from a source — a report, interview, or news story. We extract claims and numbers, visualize what matters, and explain what it means for IT and AI professionals. Sources always visible; no hype.