550 episodios
We Asked Andy Constan What Happens If AI Funding Breaks Before the Thesis — And if Warsh Blinks
20/08/2026 | 1 hAndy Constan is back on First Principles to explain why record stock prices, rising long-term Treasury yields and sticky inflation can all coexist, and why the next major market risk may come from the financing behind the AI CapEx boom rather than the eventual return on that investment. We discuss Kevin Warsh and Fed balance sheet policy, Treasury issuance and the quarterly refunding announcement, corporate bond and equity supply, Nvidia's $500 billion financing structure, and Andy's "not enough pie" framework for comparing AI earnings expectations with GDP and productivity growth.
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Topics covered
Why rising long-term interest rates can be consistent with strong economic growth and record stock prices
Why Andy does not see higher government interest costs creating an imminent U.S. debt crisis
The "script to kill inflation" and why reducing the wealth effect may require lower stock, bond and asset prices
How the Fed, Treasury and other policymakers have suppressed long-term interest rates and risk premiums
Why Kevin Warsh's comments about the Fed balance sheet and letting the bond market "do the work" could signal a policy shift
How Treasury bill issuance, coupon issuance and the quarterly refunding announcement can affect stocks, bonds and financial conditions
Why the AI CapEx boom is shifting from cash flow funding toward massive corporate debt and equity issuance
Andy's "hamburger thesis" and why the ability to finance AI infrastructure may matter before anyone knows the ultimate AI ROI
Why capital markets can suddenly close after issuance booms and what that could mean for the AI investment cycle
How Nvidia's $500 billion financing structure expands the pool of capital available to data center projects
The "not enough pie" problem: why projected corporate earnings may require extraordinary GDP growth, productivity gains or a larger corporate share of the economy
What Andy watches in new stock and bond deals for signs that investors are becoming unwilling to absorb more supply
Timestamps
00:00:08 Why stocks, long-term yields and inflation can all rise together
00:07:18 The "script to kill inflation" and why short-term rates may not be enough
00:12:48 How policymakers have suppressed long-term interest rates
00:16:53 The Warsh "drumbeat" and a possible shift in Fed balance sheet policy
00:21:56 Why markets may be underestimating Warsh's willingness to fight inflation
00:26:27 Treasury bills versus coupons and the limits of current financing policy
00:31:33 The "hamburger thesis" behind the massive AI CapEx funding shift
00:38:41 Why AI financing may matter more than AI ROI in the short run
00:42:55 Breaking down Nvidia's $500 billion data center financing structure
00:47:51 The "not enough pie" problem for AI earnings and economic growth
00:52:03 Demographics, productivity and the limits on future GDP growth
00:56:14 What issuance prices reveal about capital market stress
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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.We Asked Value Legend Bob Robotti Why the Real AI Trade Isn't AI — And Why Passive Helps Stock Pickers
18/08/2026 | 1 h 7 minBob Robotti, founder and CIO of Robotti & Company, joins Matt Zeigler and Bogumil Baranowski to explain why bottom-up value investing may be entering one of its best opportunity sets in decades. They discuss AI and reindustrialization, inflation and interest rates, passive investing, capital cycles, private equity, long-term ownership, and why today's neglected industrial businesses may offer opportunities that the market is missing.
Bob Robotti on X
https://x.com/BobRobotti
Robotti & Company
https://www.robotti.com
Topics covered
How Bob finds misunderstood businesses with latent earnings power
Why his "grassroots macro" process starts with company-level supply and demand
How AI spending is increasing demand for energy, copper, aluminum, cement and other physical assets
Why North America's natural gas advantage could support a long-term reindustrialization cycle
Why persistent inflation could force higher interest rates and lower valuation multiples
Why no competitive moat is permanent, even for today's dominant technology companies
How passive investing and shorter time horizons can create opportunities for fundamental stock pickers
Why prolonged downturns can improve industry economics through consolidation and reduced capacity
Why Bob views himself as an active owner rather than an activist investor
Why he is skeptical of today's private equity model and its expansion into retirement portfolios
The NewMarket investment that taught him the cost of selling a great business too early
Why he thinks individual company research can outperform indexing over the next decade
Timestamps
00:00 Intro
04:02 Grassroots macro and the search for latent earnings power
08:37 Why Bob started his own investment firm
13:00 How AI creates demand for the physical economy
17:59 Why Bob avoids the mega-cap technology companies
22:00 Inflation, interest rates and the valuation risk investors may be missing
26:07 Why no competitive moat is permanent
31:36 How passive investing creates opportunities for stock pickers
36:00 Why Bob believes the "fallen" areas of the market can rise again
40:06 How bad business conditions create better long-term investments
44:39 Active ownership, boards and understanding businesses from the inside
48:59 Why Bob is skeptical of modern private equity
55:15 The biggest loss of his career: selling a winner too early
01:03:32 The one investing lesson Bob would teach everyone
Learn more about the Excess Returns podcast network:
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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.- In this episode of The Jim Paulsen Show, Jim explains why weakening labor data, softening inflation, and lagged policy tightening could shift markets from inflation fears toward growth and recession fears. He also breaks down why the AI productivity boom may be overstated, how AI capital spending is supporting the economy, why Treasury yields look too high, and why investors may want to rebalance from new era technology stocks toward old era stocks and bonds.
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Topics Covered
Why weak jobs data and benign inflation have changed the outlook for the Federal Reserve
Labor force contraction, stalled job growth, and the risks facing consumer spending
Housing affordability, services activity, real income, savings, and signs of economic weakness
How the stock-bond correlation can reveal a shift from inflation fears to growth and recession fears
Why Jim expects Fed rate cuts before year-end and sees downside risk for Treasury yields
How higher oil prices, bond yields, and the dollar can hit stocks and the economy with a lag
Why today's AI productivity boom may be a mirage rather than a repeat of the 1960s or 1990s
How AI CapEx, core capital goods orders, and technology stocks are linked
Why the 10-year Treasury yield may be mispriced relative to growth and inflation
The widening divide between new era and old era stocks and what it could mean for portfolio allocation
Timestamps
00:00 Jim's outlook: weak jobs, benign inflation, and growth fears
04:11 Labor force rollover and consumer warning signs
09:06 Real income collapse and economic surprise data
13:06 Why bond yields could fall below 4 percent
17:45 Why Jim expects Fed cuts instead of hikes
22:07 How policy tightening hits the economy with a lag
26:16 Why productivity gains can be a recession mirage
30:20 What a true productivity boom looks like
34:38 AI stocks as a leading signal for capital spending
39:08 Why Treasury yields may be mispriced
44:31 Oil, core inflation, and the case for easing
48:32 New era versus old era correlation as a warning
52:54 Why today's AI economy may be more vulnerable than dot-com
57:22 Portfolio allocation takeaways: bonds, old era, and tech
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. We Asked T. Rowe's $8 Billion Tech Manager Why We Are in 1998 — And Why Software Is in Trouble
11/08/2026 | 1 hT. Rowe Price technology portfolio manager Dom Rizzo joins Jack Forehand and Kai Wu to break down the AI investment cycle, hyperscaler capital spending, semiconductor demand, and why the recent tech selloff may look more like 1998 than the end of the boom. They discuss AI return on investment, OpenAI and Anthropic, open versus closed models, financing the data center buildout, the future of software, labor productivity, and how to construct a global technology portfolio.
Topics covered
Why Dom sees similarities between the 2026 semiconductor correction and the 1998 selloff
Why hyperscaler AI CapEx could accelerate from already historic levels
What cloud revenue growth and operating margins say about AI return on invested capital
Why end-user productivity is the key test for sustainable AI demand
Open-weight models versus frontier labs and where AI economic value may accrue
Why chips, memory, logic semiconductors, TSMC and ASML sit at critical points in the AI value chain
How equity, debt and operating cash flow could finance the next stage of the data center buildout
Why semiconductors remain cyclical even in a structurally capital-intensive AI boom
Why AI agents could turn traditional enterprise software into data pipes
AI productivity, labor displacement and the case for faster GDP growth
How Dom thinks about technology portfolio construction, risk factors and global stock selection
Timestamps
00:00 AI, the tech correction and the 1998 comparison
04:07 Why the AI capital spending cycle may only be halfway
12:33 The real test for AI demand: end-user ROI
17:00 Why frontier models may capture most of the economic value
21:23 Where the biggest AI moats and profit pools could emerge
28:12 Financing the AI buildout with equity and debt
36:03 Are semiconductors in a supercycle or still cyclical?
41:43 What AI agents mean for traditional software companies
46:03 AI productivity versus labor displacement
51:01 Building a portfolio for a technology revolution
56:06 Global tech opportunities and Dom's stock-picking framework
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.David Rosenberg and Rich Bernstein on What Ends the AI Trade — And What They Own Instead
08/08/2026 | 1 h 3 minRichard Bernstein and David Rosenberg reunite to debate the Federal Reserve, inflation, the AI investment boom, market bubbles, gold and the case for international diversification. The former Merrill Lynch colleagues examine whether the Fed should raise rates, how AI CapEx is reshaping the U.S. economy, why credit markets may lead the AI trade, what is driving gold, and where investors may find opportunities outside the mega-cap U.S. market.
Topics covered
Why the Taylor Rule points toward higher rates and why Rosenberg thinks the Fed should not hike
What slowing GDP growth, productivity and labor costs suggest about underlying inflation
How AI CapEx and data center spending may be misallocating capital away from housing and the broader economy
Why the current AI boom differs from the late-1990s technology bubble
How credit spreads, CDS markets and financing costs could signal trouble in the AI trade before equities do
What real interest rates, the U.S. dollar and central bank demand mean for gold
Why Bernstein views gold as a portfolio spare tire rather than a short-term trade
Why non-U.S. stocks and international markets may offer a better valuation and growth opportunity
How AI exposure extends beyond the Mag Seven into financials, industrials and utilities
Why CAPE valuations, leverage, sentiment and market positioning point to a highly speculative U.S. market
Why diversification becomes most unpopular when investors may need it most
What Bob Farrell's market rules say about crowded positioning and consensus forecasts
Timestamps
00:00 Introduction
08:31 Why Rosenberg thinks the Fed should not hike
16:02 AI, data centers and capital misallocation
25:08 What is driving gold: real rates, the dollar and central banks
36:11 Why Bernstein sees a secular shift toward non-U.S. stocks
41:41 How AI concentration extends beyond the technology sector
48:31 International diversification as protection from AI concentration
54:06 Bob Farrell's Rule 9 and the danger of consensus
1:00:06 The housing-cycle warning Bernstein and Rosenberg saw before the financial crisis
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.
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