Agentic workflows move closer to "real work," while regulators and infra constraints quietly define what's feasible.
AI strategy
+6
Less model drama. More operating reality—agents, evals, sovereignty, cost, and the new security perimeter.
+7
AI is no longer "just models." It's becoming an industrial stack: capital + compute supply chains + product economics + enterprise integrators + regulation as geopolitics. If your AI strategy still treats models as standalone products, you're planning for 2023.
+8
Fragmented governance, frontier agents, and full-stack AI platforms colliding in one week
+10
Microsoft Ignite 2025 marks the end of the AI chat era. The agent era begins with a question enterprises aren't ready to answer: who's managing your autonomous AI workforce?
+9
Microsoft's $10B Sines bet, Bengio's citation milestone, and why Web Summit revealed Europe's AI inflection point
+4
Power has replaced parameters as the defining advantage in frontier AI. Whoever controls the grid controls the future.
+3
As OpenAI locks $250B in Azure compute and lawmakers move to criminalize unsafe AI, the gap between growth and governance widens. Europe’s constraints may soon become its greatest advantage.
+5
Turning capacity into profit: measuring cost per 1K tokens served.
ROI
Security, alignment, and infrastructure converge into one operational question—how to build responsibly while you scale.
Speculation funds infrastructure. Your job is to turn that runway into policy, telemetry, and compounding advantage.
Why seasonal surges, platform maturity, and third-party breaches matter more than model labels
AI adoption is changing how kids learn, work, and make decisions—with safety and judgment the new frontiers.
What changed, why it matters, and the 3 moves to make before Q2.
Why automation layers like n8n are becoming cost engines in a world where €44B in cloud spend is wasted
Enterprise AI shifts from copilots to production agents embedded in ERP/CRM. Cohere’s $500M, Oracle×Gemini in OCI & Fusion, Salesforce’s Agentforce at scale, Kyndryl’s “100 agents/100 days,” GPT-5, Anthropic’s 1M-token context, and MCP.
Small models finally deliver on the edge computing promise—but governance frameworks are racing to catch up
Email is becoming the operating system. Search is dying. And AI agents finally learned to talk to each other.
From one smart agent to an entire digital workforce
The shift from reactive AI to proactive intelligence is here