Kai Wu of Sparkline Capital joins Excess Returns to break down his latest research on AI disruption, software stocks, value traps, and intangible moats. We discuss why software valuations have collapsed, why traditional value investing can fail during technological disruption, and how investors can separate potential AI winners from companies whose business models may be permanently impaired.

AI Disruption: Moats and Value Traps
https://www.sparklinecapital.com/post/ai-disruption

Kai Wu on X
https://x.com/ckaiwu

Sparkline Capital
https://www.sparklinecapital.com/

Topics Covered:

Why software stocks are trading at a historically unusual discount to the market
How AI disruption can create both real opportunities and dangerous value traps
Why Blockbuster, Borders, RadioShack and newspapers offer lessons for today’s software selloff
How patent data and natural language processing can measure technological disruption
Why disruption has helped explain the poor performance of traditional value investing
Why value investing may still work in sectors insulated from technological change
How intangible assets like brand, human capital, intellectual property and network effects can protect companies
Why Walmart and The New York Times survived disruption while other incumbents did not
How David Teece’s complementary assets framework applies to AI, software and moats
Why AI adoption and intangible value together may help identify software survivors
Why high dispersion in disruption-scare stocks creates a potential opportunity for stock pickers

Timestamps:
00:00 Software stocks now trade at a historic discount
04:26 What makes a cheap stock a value trap
08:25 Measuring disruption using patents, filings and natural language processing
13:23 Is AI the biggest disruptive wave in history?
14:55 Why disruption keeps stacking on retailers
17:10 How technological change disrupted traditional value investing
21:20 Why value investors need to know when not to apply old metrics
25:06 Why more of the market is exposed to innovation than ever before
27:07 What Walmart and The New York Times teach about surviving disruption
32:40 The four intangible moats that can protect companies
35:02 Why intangible value works better in disrupted industries
38:50 Apple, Amazon, Macy’s and the difference between disruptors and value traps
42:58 Applying intangible value to beaten-down software stocks
47:05 Why AI adoption alone is not enough
48:23 How AI could improve margins for surviving software companies
50:09 Which industries are adopting AI fastest
52:14 The software sweet spot: AI adoption plus intangible moats
53:53 Why disruption-scare stocks have extreme return dispersion
57:40 What happens when intangible value is applied to high-disruption stocks
01:01:42 Why “code is not the moat” for many software companies

He Quantified 200 Years of Disruption | Kai Wu on Separating Software Survivors from Value Traps

Excess Returns

He Quantified 200 Years of Disruption | Kai Wu on Separating Software Survivors from Value Traps