To generate real impact from AI, leaders must first take a counterintuitive step: unbundling work to understand where AI can add the most value.
An AI workforce transition needs more than retraining. P-TECH shows how education, employers and credentials can connect workers to jobs reshaped by AI.
Every time an enterprise deploys AI on infrastructure it does not own, it exposes operational data to external platforms and renews that dependency.
AI is shifting the economy from physical goods to digital value, reshaping work, identity, education, and social protection in irreversible ways.
Anthropic, OpenAI, the Vatican and Congress all agree AI needs guardrails—but they disagree on what should be protected first, from catastrophic risk to human dignity and U.S. competitiveness.
If your agentic AI project is failing, your problem is likely that you treated the integration work as somebody else’s issue to solve after the demo.
The failure is not in the technology. It is in the operating model surrounding it, and it shows up in three interconnected places.
Over decades and across industries, I’ve seen two playbooks deliver results.
Embracing agentic AI requires a complete rewrite of the enterprise playbook.
How do car dealers manage to pull in profits while automakers pivot product mix to meet customer preferences? Execs at two large dealer groups reveal creative tactics.