AI in Asset Management: Lessons from a 30-Year Veteran

Описание: Miro Mitev, Founder and CEO of SmartWealth, discusses his three decades of building AI forecasting models, why 90% fail to predict anything, and what keeps him up at night about the future of artificial intelligence.

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What does it really take to predict markets with AI? And why do 90% of financial forecasting models produce zero predictive value?

In this edition of The Assetizer I'm talking with Miro Mitev, founder and CEO of SmartWealth. Miro has seen it all. He started experimenting with neural networks back in 1997—back when you bought forecasting software for $200 and ran calculations overnight. Today he uses these models to drive real portfolio decisions with real money.

In our conversation, we cover a wide range of topics. Among them: what overfitting actually means and why it's so dangerous, how his system spotted the COVID crash two weeks early by reading market structure instead of headlines, and why decades of experience matter more than raw computing power when you're building AI for finance.

He also shares what keeps him up at night: humanoid robots, quantum computing, and the question of who controls these increasingly powerful tools.

If you want to understand how AI really works in professional asset management—not the hype, but the hard-won reality—this is a conversation you need to hear.

Key Topics Covered

The 27-year journey from academic curiosity to live trading

Why 90% of forecasting models produce zero value

The overfitting trap that kills most AI models

How AI spotted the COVID crash two weeks early

Why the black box problem isn't unique to AI

The coming wave of humanoid robots and quantum computing

Why GenAI hasn't cracked financial forecasting yet

About Our Guest

Miro Mitev is the founder and CEO of SmartWealth, a leading provider of AI wealth management. After earning his master's degree researching neural networks for stock prediction at Vienna University of Economics and Business Administration, he spent a decade at Siemens building forecasting systems for pension fund allocation and treasury operations. He then spent 16 years providing AI-driven research and portfolio optimization to institutional clients worldwide before founding SmartWealth in 2016 to close the loop—using the same battle-tested technology to directly manage client money.



00:00 Opening sequence

00:42 Introduction

01:23 Early Days With Neural Networks (1997)

04:46 From Academia to Banking

07:51 Siemens Years

11:08 The Path to SmartWealth

14:37 The Evolultion of AI Technology

17:15 The Challengs of Overfitting

20:54 The 5% Edge

24:34 Dealing With Irrational Markets

29:02 Black Swans and Market Crashes

32:33 Generative AI and LLMs

37:01 The Importance of Experience

41:00 The Perils of AI

44:55 SmartWealth Products and AMCs

54:08 Closing