Lisa Emme spent a decade in finance and private equity before co-founding Frontier AI lab Inversion. In this episode of Unblocked, she breaks down why the real AI conversation has already moved past chatbots into architecture, control, and autonomous agents.
Emme explains why bolting AI onto workflows built for humans produces no real ROI, and why the next shift, from multi-agent systems to fully autonomous AI, will restructure entire departments rather than individual tasks. She argues Europe's dependence on foreign frontier models is a strategic risk, points to the model access restrictions under the Trump administration as proof, and calls for the continent to build its own foundational AI infrastructure before the gap becomes unclosable.
Topics covered:
Why enterprise AI adoption is stuck at the surface level, and what AI-native restructuring actually requires
The shift from agentic to autonomous AI, and what it means for finance, procurement, and marketing functions
Why Emme believes the AI infrastructure buildout is a bubble, and which layer she expects to pop first
The case for Europe building sovereign AI models instead of depending on US and Chinese labs
World models, defensibility, and why frontier labs eating the application layer is a five-year risk for most AI startups
Career advice for professionals with only a few reskilling cycles left before AI reshapes their industry