Emerging Topics

The Banking Sector Got Mythos First. Here's What That Means for Its PMs.

JP Morgan, Goldman, Citi, BofA, and Morgan Stanley all got Mythos first — and the Treasury Secretary convened them to discuss using it. For FinServ PMs inside Project Glasswing and outside it, the governance implications are immediate, regulator-facing, and not covered by SR 11-7 as written.

By AIPMO

/ 28 Apr 2026 · 9 min read

The Mythos Signal: Why a Model You Can't Use Should Change Your AI Governance

Anthropic shipped Mythos to a closed partner list, then a contractor environment was breached. PMs won't use the model, but the release pattern — gated tiers, vendor-mediated exposure, capability migrating downward — is the new default. Here's what to update in your governance stance now.

By AIPMO

/ 28 Apr 2026 · 9 min read

LLM Safety Benchmarking: What PMs Need to Know About Evaluating AI Model Safety

Your vendor says the model scored 94% on safety benchmarks. But what was actually tested — and what does that score obligate you to do? Here's how NIST MEASURE, the EU AI Act, and Singapore's Project Moonshot translate into PM accountability.

By AIPMO

/ 9 Mar 2026 · 11 min read

Open-Source AI: The Governance Challenges You Didn't See Coming

Open-source AI transfers governance responsibility to you. What your commercial vendor handled in the background — safety testing, documentation, incident response — now sits on your project plan. Here's what the EU AI Act and NIST say you're accountable for.

By AIPMO

/ 9 Mar 2026 · 10 min read

Agentic AI: What Project Managers Need to Know

Traditional AI advises. Agentic AI acts — autonomously browsing, calling APIs, executing code, and delegating to other agents. The shift from output to action changes everything about how you govern AI projects. Here's what EU AI Act Article 14, NIST MANAGE 2.4, and Singapore's IMDA require of you.

By AIPMO

/ 29 Jan 2026 · 14 min read