When technology becomes part of the talent infrastructure
THE SO WHAT
If AI-ready PCs and device strategy are now framed as “talent infrastructure,” IT spend is quietly becoming a retention lever, not just a cost center. HR, IT, and line leaders should be co-owning device standards and AI access, because it will show up in both engagement scores and output.
READ THE SOURCE
MORE FROM THE WIRE
Applied AISpaceX revenue rises 161% to $14.6B as AI business overtakes Starlink
When a launch company books more revenue from AI than from Starlink, space infrastructure is becoming an AI infra business by proxy—compute and data are now as core as rockets. If you depend on GPU access, assume nontraditional providers with their own power and real estate will be credible alternatives to hyperscalers within a few years.
Applied AIDemis Hassabis says he expects AGI within two to three years, down from his three-to-five-year prediction earlier in 2026, and discusses AI's science potential
When a leading lab compresses its AGI timeline from 3–5 years to 2–3, your planning horizon just got pulled forward whether you believe the forecast or not. Treat this as a scenario input: stress-test your IP, regulatory, and workforce assumptions against a world where frontier capability steps up meaningfully before 2030.
Applied AIShould you get a personal AI assistant?
Personal AI assistants are shifting from novelty to a real line item in individual productivity stacks. For orgs, the risk is shadow-AI—employees will adopt their own agents unless you provide sanctioned options with clear data boundaries.
Applied AIStop choosing the wrong Agentic AI use cases
The hard part of agentic AI isn’t orchestration tech—it’s picking workflows where autonomy actually beats a good script plus a human. Before you scale agents, force every use case through two filters: error cost and verification burden; if either is high, you’re probably better off with simpler automation.