Wes Gray joins us to explain how factor investors should think about high market valuations, S&P 500 concentration, value investing, small caps, artificial intelligence and the behavioral challenge of staying invested for the long term. He also breaks down Section 351 ETF exchanges, including how appreciated portfolios can move into an ETF without an immediate taxable sale, why direct-indexing portfolios are a major use case and how the ETF wrapper is reshaping asset management.

Wes Gray on X
https://x.com/alphaarchitect

Alpha Architect
https://alphaarchitect.com

ETF Architect
https://etfarchitect.com

Long-Only Value Investing: Does Size Matter?
https://alphaarchitect.com/wp-content/uploads/2022/11/AA-JBISFactorInvesting22LongOnlyValueInvesting.pdf

Even God Would Get Fired as an Active Investor
https://alphaarchitect.com/wp-content/uploads/2021/08/Even_God_Would_Get_Fired_as_an_Active_Investor.pdf

Topics covered

• Why high valuations may lower long-term expected returns without providing a reliable market-timing signal

• How S&P 500 concentration creates a major large-cap, quality and growth factor bet

• Why earnings and operating income may be better value metrics than book-to-market in an intangible economy

• Why valuation may matter more than company size for long-only value investors

• How unprofitable companies and low-quality stocks can distort small-cap value indexes

• Whether AI has changed the historical relationship between growth and value investing

• How AI may eliminate short-term trading edges while leaving long-horizon opportunities intact

• Why even an investor with perfect foresight could suffer severe drawdowns and get fired

• How passive investing flows may affect market prices and factor returns

• How Section 351 exchanges can solve problems created by appreciated SMAs, tax-loss harvesting and direct indexing

• The 25/50 diversification rules, cost-basis transfer and tax-deferral mechanics of ETF conversions

• Why assets continue moving from mutual funds, hedge funds and separate accounts into ETFs

• Why enduring underperformance may be necessary to earn higher long-term returns

Timestamps

00:00 Alpha Architect, ETF Architect and building an ETF platform
04:00 Can factor investors time a market bubble?
08:03 Intangible assets and the problems with book-to-market
13:42 The quality problem inside small-cap value indexes
18:18 Has technology changed the growth-versus-value equation?
23:25 Can AI create lasting investment alpha?
27:42 Are investors behaving better today?
34:39 How Section 351 ETF exchanges work
39:48 The diversification rules for tax-deferred ETF conversions
44:34 How cost basis and deferred taxes carry into the ETF
49:07 Mutual fund, hedge fund and SMA conversions
54:13 Why investors should embrace underperformance

Learn more about the Excess Returns podcast network:
https://excessreturns.co

No information discussed in this podcast should be construed as investment advice. Securities discussed may be held by the hosts and guests, their firms or their clients.

Aahan Menon, founder of Prometheus Research, joins Jack Forehand to explain what systematic macro data says about economic growth, inflation, Federal Reserve policy, oil prices, AI investment and the outlook for stocks and bonds. They examine why nominal GDP remains stable, why traditional recession indicators have failed, how consumer dissaving is boosting corporate profits, and why today's unusually balanced regime probabilities make this a difficult time for large macro bets.

Aahan Menon on X
https://x.com/AahanPrometheus

Prometheus Research
https://www.prometheus-macro.com

Topics covered

• Why geopolitical volatility and disrupted market trends make concentrated macro bets unusually difficult

• What Prometheus Research's daily GDP nowcast says about stable nominal growth

• Why AI capital spending matters but consumer spending still drives the US economy

• How household dissaving and the wealth effect are supporting corporate profits

• Why the economy and Federal Reserve policy may be increasingly sensitive to stock prices

• How oil prices are driving inflation volatility and changing expectations for interest rates

• Why demand-driven inflation is more persistent than supply-driven inflation

• How technology investment has weakened traditional recession and business-cycle indicators

• The value and limitations of timing Federal Reserve policy with systematic macro data

• What macro regime probabilities, valuations and expected returns suggest for stocks, bonds and diversification

Timestamps

00:02 Why this is a difficult time for big macro bets
05:02 A daily GDP nowcast shows stable nominal growth
09:21 Consumer dissaving and the future economic risk
13:23 The wealth effect linking stocks, spending and profits
17:52 Oil prices and extreme inflation volatility
22:23 Separating persistent demand inflation from supply shocks
27:27 Why traditional recession indicators stopped working
32:55 How technology is changing the business cycle
37:42 Why timing Federal Reserve cycles matters for bond returns
42:28 The limitations of alternative data and short histories
47:33 Macro regime forecasts and expected returns
51:54 Why the macro backdrop still supports equities
56:19 Why investors can finally get paid to diversify

Learn more about the Excess Returns podcast network:
https://excessreturns.co
No information discussed in this podcast should be construed as investment advice. Securities discussed may be held by the hosts and guests, their firms or their clients.

Azeem Azhar joins Kai Wu to break down the real economics of the AI boom, including the $110 billion demand base, where profits may accrue across chips, hosting, foundation models and applications, and whether spending can translate into enterprise productivity. They discuss AI infrastructure bottlenecks, open-source competition, vertical integration, organizational redesign, software moats, human judgment and the signals investors can use to identify companies turning AI adoption into durable competitive advantage.

The State of the AI Economy
https://intelligence.exponentialview.co/assets/ev-state-of-ai-economy-2026.pdf

Why AI Isn't Showing Up on Your Bottom Line
https://www.exponentialview.co/p/why-ai-isnt-showing-up-on-your-bottom-line

Azeem Azhar on X
https://x.com/azeem

Exponential View
https://www.exponentialview.co/

Topics Covered

• The size and growth rate of real generative AI demand

• How the AI stack divides between chips, hosting, foundation models and applications

• Why memory and energized data centers may be the key AI infrastructure bottlenecks

• Open-source models, proprietary pricing and enterprise assurance

• Vertical integration and foundation model labs moving into applications

• How AI value could flow to consumers rather than infrastructure providers

• Why AI productivity requires workflow and organizational redesign

• What investors can learn from earnings calls, hiring and enterprise spending

• Forward-deployed engineers, consulting firms and vendor lock-in

• Which intangible business moats strengthen or weaken as intelligence becomes abundant

Timestamps

00:00 The economics and sustainability of the AI boom
06:34 Mapping the four layers of the AI stack
10:43 Vertical integration and cross-stack competition
15:31 Why memory is becoming an AI infrastructure bottleneck
20:01 Open-source models versus proprietary AI
24:36 Why foundation model labs are moving up and down the stack
28:51 Could AI profits become consumer surplus?
33:00 Why more copilots cannot create an AI-native company
37:17 Job postings and the intangible investments behind AI adoption
44:16 Can forward-deployed engineers transform legacy companies?
49:15 Which business moats strengthen or weaken in the AI economy?
54:20 Do foundation models really have network effects?
59:00 Why judgment, verification and human provenance become more valuable
01:04:56 The exponential gap in data centers and education
01:10:06 How Azeem uses AI to deepen research and generate ideas

Learn more about the Excess Returns podcast network:
https://excessreturns.co
No information discussed in this podcast should be construed as investment advice. Securities discussed may be held by the hosts and guests, their firms or their clients.