I recently hosted a webinar during which I walked 131 people through all 12 steps of the HEOR Roadmap and asked one question for each capability: what did AI just turn into a commodity, and what's still worth learning? The recording is now on YouTube. This is the skimmable version, plus a look behind the scenes.
I challenged an AI to rebuild my own model. It found the mistake in mine.
I set out to beat the machine at the one thing that's kept health economists employed since NICE opened its doors. The ICER landed within 4% of my hand-built Excel model, and the gap turned out to be my modelling choice, not the AI's error.