Excess Returns

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.

On the Latest First Principles, Andy Constan explains what the options market is signaling about the AI and semiconductor boom, why he believes earnings expectations have outrun the size of the economy, and where the next risks may emerge. We discuss speculative call buying, single-stock volatility, AI capital spending, consumer dissaving, the Fed put, Kevin Warsh's monetary policy framework, and the looming reset of US tariffs.Topics covered:
* Why parabolic moves in AI infrastructure and semiconductor stocks may reflect a speculative bubble
* What rising single-stock volatility and unusually low market correlations reveal beneath a calm index
* Why out-of-the-money calls became more expensive than puts and what that says about investor positioning
* How investors can hedge concentrated stock gains by selling calls and buying protective puts
* Why the AI bubble may be hiding in earnings expectations rather than traditional valuation multiples
* Andy's economic pie framework and why projected corporate profits may exceed the GDP available to support them
* How AI competition, open-source models, job displacement and subsidized token usage affect the return on AI investment
* Why capital spending and consumer dissaving are supporting economic growth, and where those drivers could weaken
* Whether the Federal Reserve could eventually buy equity ETFs and the inflationary consequences of a permanent Fed put
* How lower short-term rates and a smaller Fed balance sheet could rebalance Main Street and Wall Street
* Why expiring Section 122 tariffs could create a near-term shift in inflation, growth and the federal deficit

Timestamps:

00:02 Why the options market is flashing a warning on AI stocks
04:02 Extreme stock dispersion beneath a calm market
08:49 The signals of a speculative call-buying frenzy
13:00 How to hedge a stock position without calling the top
18:36 Why earnings expectations may be the real AI bubble
23:00 The economic pie cannot support every company's forecasts
27:00 AI job displacement and the widening gap between winners and losers
31:59 How capital spending and consumer dissaving are sustaining growth
36:00 When the return on AI investment starts to matter
40:26 Could the Fed buy stocks in the next financial crisis?
44:53 How Kevin Warsh might respond when markets and employment collapse
48:58 Lower rates, a smaller balance sheet and wealth inequality
52:59 The tariff deadline investors may be overlooking

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.

Jack Schwager joins Excess Returns to discuss Market Wizards: The Next Generation and the extraordinary young traders profiled in the newest installment of the Market Wizards series.
He explains how traders turned small accounts into fortunes, survived devastating losses, built exceptional risk-adjusted records and adapted from day trading to longer-term strategies, while revealing the psychology, risk management and commitment behind elite trading performance.
Jack Schwager on X
https://x.com/jackschwager
Market Wizards: The Next Generation
https://amzn.to/4psEOmH
Topics covered
How video games, prop trading firms and modern technology shaped a new generation of traders

How Jack Schwager finds candidates and verifies extraordinary trading track records

Why return-to-risk measures can reveal more than the Sharpe ratio

Lukas Froelich's astonishing 2020 performance and the limits of compounding and scalability

Simon Rousseau's journey from a $40,000 borrowed account to nearly $500 million

How breaking risk rules led to massive losses even after extraordinary success

Kristjan Kullamägi's path from security guard to more than $100 million after repeated account blowups

Phil Goedeker's success with short selling, option selling and unusually strong risk control

Rick Bandazian Jr.'s merger arbitrage edge and more than a decade without a losing month

Why financial markets may remain uniquely difficult for artificial intelligence to solve

Lance Breitstein's apprenticeship, deliberate practice and shift from day trading to longer-term positions

What traders and long-term investors can learn about talent, discipline, persistence and human nature

Timestamps
00:00 Intro to Market Wizards: The Next Generation
04:33 How Jack finds exceptional traders and how the trading ecosystem changed
09:15 Auditing Lukas Froelich's extraordinary 2020 returns
14:03 Simon Rousseau: turning $40,000 into nearly $500 million
18:42 The $50 million Carvana loss and the danger of breaking trading rules
22:54 Kristjan Kullamägi: from security guard to more than $100 million
28:36 Phil Goedeker and the risk of negative asymmetry strategies
32:41 Hedging option risk during the Liberation Day market selloff
37:34 Trading personality and Rick Bandazian Jr.'s no-loss record
41:36 Can artificial intelligence ever become a Market Wizard?
45:42 Lance Breitstein: choosing mentorship over a higher salary
49:42 What long-term investors can learn from elite traders
53:52 Innate talent, human nature and all-consuming commitment
57:58 What the next generation of trading may look like
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.

Eric Pachman of Data 4 The People joins Matt Zeigler to explain why headline employment and inflation data may be giving investors an incomplete picture of the U.S. economy. They examine falling labor force participation, Medicaid-funded healthcare jobs, wage quality, oil and diesel shortages, consumer financial stress and how AI can make public data more useful.
Eric Pachman on X
https://x.com/EricPachman
Data 4 The People
https://www.data4thepeople.com/
Main topics covered
Why the establishment survey and household survey can tell very different labor market stories

Why unemployment may miss weakening labor force participation and disappearing working-age Americans

The decline in participation among older workers and men

How healthcare and Medicaid-funded care have become the engine of U.S. job growth

Why Medicaid cuts could create a major employment and consumer spending risk

What occupational wage data reveals about the quality of new jobs and home healthcare pay

The differences between CPI, PCE and core inflation and why the standard measures can be misleading

How crude oil grades, refinery design and 3-2-1 crack spreads shape energy prices

Why falling diesel inventories could spread inflation through transportation, food and retail

What the single-income stress test reveals about household fragility, poverty and multiple-job holders

How Data 4 The People is using AI to build public-interest data research tools

Timestamps
00:00 Intro
04:41 Why the unemployment rate can miss a labor crisis
11:24 Healthcare jobs, aging America and the Medicaid care economy
18:44 The Wage Ledger and the hidden quality of U.S. job growth
24:18 Why inflation is moving higher
30:48 Why every equity investor needs to understand oil
36:00 Crack spreads and the refinery mismatch problem
44:05 Why diesel is the inflation risk that matters most
48:34 The single-income stress test and consumer fragility
54:42 Data 4 The People's nonprofit mission
59:00 Building an AI research assistant for public data
01:03:37 Where to follow Eric and Data 4 The People
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.

Jim Paulsen joins us to explain why weakening economic momentum, tightening financial conditions and extreme AI enthusiasm could set the stage for a 10% to 20% stock market correction. We discuss labor market weakness, the growing divide between technology and the broader economy, fading tech leadership, market complacency, bond yields and the demographic forces that could keep US growth and inflation lower for years.
Jim also explains why he does not expect a recession or the end of the long-term bull market, but believes investors may need to reduce their concentration in AI and technology stocks as leadership quietly shifts toward the broader market.
Jim Paulsen on X
https://x.com/jimwpaulsen
Paulsen Perspectives
https://paulsenperspectives.substack.com/
Main topics covered
• Why Jim expects a 10% to 20% market correction without a recession
• What zero job creation, declining full-time employment and rising unemployment reveal about the labor market
• Why housing starts, real disposable income and GDP forecasts point to weaker economic growth
• How higher Treasury yields, oil prices, a stronger dollar and slower money growth have tightened financial conditions
• Why the economic damage from an oil shock often appears after oil prices peak
• The widening earnings and economic divide between AI investment and the rest of the economy
• What investor positioning, shrinking liquidity and low defensive exposure reveal about market complacency
• Why strong earnings momentum does not eliminate the risk of a market decline
• Evidence that technology, communication services and the Magnificent Seven are losing market leadership
• Why old economy sectors may outperform technology during the next stage of the bull market
• How weak labor force growth could push economic growth, inflation and Treasury yields lower
• Why demographics, immigration and productivity will shape the long-term US economic outlook
Timestamps
00:00 Why Jim Paulsen expects a 10% to 20% market correction
04:32 The labor market weakness investors may be overlooking
08:42 Housing, disposable income and GDP growth are deteriorating
13:03 How tighter financial conditions could slow the economy
17:09 Why oil shocks and the yield curve threaten earnings growth
21:41 Investor complacency and the disconnect between markets and Main Street
25:54 How today’s AI boom differs from the dot-com bubble
30:20 Defensive stocks reach an extreme last seen near major market tops
34:36 Record earnings expectations, momentum and extreme valuations
39:00 Technology, communication services and the Magnificent Seven lose momentum
43:00 The hidden market rotation from new era to old era stocks
47:01 Why Jim expects Treasury yields to fall below 3%
51:43 The demographic forces suppressing growth and inflation
55:45 America’s long-term growth challenge and what could change it