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Author:
Geoff Robinson -
Level:
Intermediate to advanced -
Study time:
75 minutes
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Course overview
This playlist examines how investors should analyze AI-driven companies through base rates, Bayesian forecasting, monetization gaps, infrastructure risk, capex discipline, and scale effects. It challenges exponential narratives and teaches how to anchor forecasts in evidence, capital allocation logic, and return thresholds.
What's Included?
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8 videos
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In a world of exponential claims, disciplined investors anchor to base rates, returns, and reality.
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Insights from a #1 ranked data-driven analyst
Who is this for?
Designed for equity analysts, portfolio managers, advanced finance students, and serious private investors seeking structured AI valuation frameworks. Ideal for those modeling high-growth technology businesses and stress-testing capex, adoption curves, and monetization assumptions against historical base rates and return discipline.
Why is this important?
Each programme is structured as a clear, chronological playlist, guiding you through concepts step by step so you can build understanding properly. Learn at your own pace, revisit material when needed, and develop skills in a logical sequence designed to support long-term mastery.
Geoff Robinson
FCA FMVA MFM
Thought leader, instructor, writer, financial influencer, Former UBS Managing Director and 10x #1 ranked analysts EMEA Institutional Investor Survey.
ABOUT Geoff
Geoff has had a varied career. He was a Managing Director within UBS Equity Research, leading their Global Fundamental Analytics franchise. During this time, he was #1, ranked 10x in the EMEA Institutional Investor Survey. Before UBS, he was a material equity investor and LBO co-investor in two market exited training consultancies. Geoff has a passion for learning and is well-known for his ability to break down complex subject matter and distil it to an audience in a digestible and engaging manner.






