Visser predicts S&P 500 stagnation as AI dismantles corporate moats

Wednesday, April 29, 2026 · from 4 podcasts

Invest Like The Best Bankless AI Daily Brief Forward Guidance

AI's 'hyper-abundance' destroys software profits, forcing capital into Bitcoin and physical assets like energy infrastructure.
Surging data center capex revives blue-collar labor markets, shifting power from office workers to plumbers and electricians.
Economists argue the Fed has become irrelevant as structural inflation from energy and compute shortages drives markets.

AI isn't just automating jobs - it's vaporizing the profit models of entire industries. According to Jordi Visser on Bankless, we are entering a 'SaaSpocalypse' where AI produces such an abundance of code and intelligence that software moats are evaporating. Companies like Salesforce and Adobe aren't just losing to competitors; they are losing to the terminal value of zero-cost software.

When everything digital becomes infinitely reproducible, investors flee to scarcity. Visser positions Bitcoin as the cleanest expression of this 'scarcity portfolio.' He expects the S&P 500 to remain flat for a decade as the real economy doubles, because legacy public companies are too slow to replace high-cost labor with AI agents.

"AI is destroying the moats of abundance-based software businesses, leading to a 'SaaSpocalypse' where companies like Salesforce and Adobe see profits eroded as AI creates super abundance, making their terminal value questionable."
- Jordi Visser, Bankless

The market's engine is stalling for a different reason. Paul Tudor Jones notes that for years, markets grew as companies retired 2% of their cap annually through buybacks. That engine is reversing as tech giants divert cash into massive AI capital expenditures. A coming wave of IPOs could hit 5% of total market cap, creating a cascade of selling as lockups expire.

This capital is flooding into physical infrastructure. On Forward Guidance, the analysis highlighted a massive industrial recalibration where capital investment in data centers trumps share buybacks. Tesla expects its CapEx to exceed $25 billion this year. Nvidia CEO Jensen Huang identified a specific bottleneck: it isn't chips, but plumbers and electricians to build cooling systems.

"We are moving toward a economy where capital investment in physical infrastructure trumps share buybacks."
- Forward Guidance

This shift makes the Federal Reserve's traditional monetary tools look increasingly peripheral. The argument on Forward Guidance is that inflation is now driven by structural forces - AI capex booms and persistent energy supply shocks - not money supply. The Fed's constant communication creates policy lags while the real economy is reshaped by plumbers and transformers.

Nathaniel Whittemore on The AI Daily Brief argues the ultimate economic shift is toward human connection. As AI makes commodities cheap, spending will pivot to the 'relational sector' - nursing, therapy, hospitality - where human presence is the product. The economy isn't collapsing. It is moving from factories to human attention, a transition history has seen before when agriculture's share of employment fell from 40% to 2%.

The question is what holds value in the interim. Visser's answer is scarcity: Bitcoin, copper, and energy. The Fed's next move may be less important than the price of diesel and the permit speed for a new power substation.

4 Sources:

Invest Like The Best Bankless AI Daily Brief Forward Guidance

#AI Infrastructure #Markets #Energy #Regulation

Jordi Visser Nathaniel Whittemore Tesla Bitcoin Federal Reserve

Source Intelligence

- Deep dive into what was said in the episodes

Invest Like The Best

Lessons From a Life in the Markets | Paul Tudor Jones Interview • Apr 28

Paul Tudor Jones says traders live with intense volatility and liquidity is paramount. His grandfather's lesson was 'you're only worth what you can write a check for tomorrow.'
Jones learned from Eli Tullis to execute trades at the peak of market fear or greed and maintain composure after a major loss. The key lesson was to wear confidence and show resilience.
Jones defines trading as boxing against the market, jabbing and waiting for openings. Bitcoin in 2020 and shorting two-year rates in 2022 were examples of knockout opportunities.
Jones says big moves arise when markets are too carried away or imbalances persist, often catalyzed by central bank or government actions. He cites a potential move in dollar/yen driven by Japan's new leader.
Jones warns that major financial accidents like 1987's crash, LTCM in 1998, and 2000's bear market stem from excessive leverage, often in derivatives.
Jones argues current equity valuations are dangerously high and dependent on firm prices. The ratio of stock market cap to GDP is 252%, far above historical peaks.
Jones says new IPO supply and upcoming unlocks could reverse the math of corporate buybacks, draining market liquidity and pressure tech stocks.
Jones says buying the S&P 500 at its current valuation, with a PE of 22, historically yields negative 10-year returns. Valuation matters more than long-term averages.
Jones sees trading as therapy to keep his mind sharp and a means to accumulate wealth so he can give it away, viewing it as a pursuit of nobility.
Jones says the greatest fortunes are made by riding a trend for the longest time, whether by owning a company like Gates or investing like Buffett.
Jones now admires Warren Buffett's grasp of compound interest and patience, contrasting it with his own trading career of daily trench warfare.

Also from this episode: (8)

BTC Markets (1)

Jones calls Bitcoin the best inflation hedge because it is finite and decentralized. Gold increases supply yearly, while Bitcoin has ultimate scarcity value.

Psychology (1)

Jones believes great traders are largely born with it, requiring a Type-A personality, deep curiosity, and a love for competition and probability games.

AI & Tech (2)

Jones warns AI development lacks a public plebiscite and sufficient risk management. He fears a catastrophic tail event could kill hundreds of millions.
Jones argues mandatory watermarking of all AI content could restore trust. He says the absence of truth in discourse is a major national problem.

Education (2)

Jones learned through philanthropy that passion alone fails; a plan and sound pedagogy are critical, as proven by his charter school's success.
Jones argues journalism training is superior to a business degree because it forces principal component analysis: structuring ideas with conclusions first.

Society (2)

Jones says a single act of kindness can be transformative and multiplicative, citing his own childhood experience that inspired his charitable work.
Jones believes young people should not accept today's vitriolic national discourse as permanent; civility and respect were higher in the 70s-90s.

#Macro #Markets #Safety #Regulation

Bankless

Has Bitcoin Bottomed? Jordi Visser on AI, Inflation, and Moats • Apr 27

David Hoffman notes that while many cycle investors on Bankless remain bearish on crypto's short-term bottom, Jordi Visser holds a bullish outlook, believing Bitcoin has already bottomed and that the current crypto winter will be the mildest ever.
Jordi Visser explains that AI is destroying the moats of abundance-based software businesses, leading to a 'SaaSpocalypse' where companies like Salesforce and Adobe see profits eroded as AI creates super abundance, making their terminal value questionable.
Jordi Visser identifies a 'compute shortage' as a critical current issue, as AI adoption rates have outpaced the supply of data centers and necessary hardware, potentially slowing companies' ability to replace labor and impacting margins.
Jordi Visser forecasts a period of inflation driven by underinvestment in physical infrastructure like power and chips needed for AI, alongside rising commodity prices for copper, silver, and energy, despite AI's long-term deflationary potential.
Jordi Visser notes that year-over-year CPI is currently 3.3%, predicting it will reach 3.6% or higher after the next print in early May, potentially surpassing 4% due to filtering effects from rising diesel and plastic prices.
Jordi Visser argues that the S&P 500 will likely remain near current levels a decade from now, despite a doubling of the economy, as AI disrupts public companies and shifts value creation to a decentralized world of entrepreneurs.
Jordi Visser observes that the current Bitcoin cycle is distinct from previous ones because altcoins have not reached their 2021-2022 highs, suggesting a reshaping of the crypto market reminiscent of the post-dot-com bubble era.
Jordi Visser's portfolio is heavily weighted towards 'scarcity assets' supporting the AI infrastructure, including memory stocks like Micron and Pure Storage, chip-related companies like Marvell, and raw material producers like silver miners and Brazilian mineral companies.

Also from this episode: (6)

AI & Tech (4)

Jordi Visser predicts that artificial intelligence and inflation will drive investors toward a 'scarcity portfolio,' ultimately concluding with Bitcoin and other assets possessing similar properties, due to a massive economic transition.
Jordi Visser argues that AI accelerates wealth distribution problems, which have grown since the personal computer era, by disrupting human intellect and physical labor, making Bitcoin an inevitable and chosen scarcity asset in this new paradigm.
Jordi Visser states that AI acts as the new quantitative easing (QE), enabling companies to reduce labor while growing, contrasting with traditional QE which aimed to keep businesses alive by maintaining credit flow.
Jordi Visser uses a diverse AI tool stack daily, including Perplexity, Gemini, ChatGPT, GROQ, and Claude, to conduct rapid research and generate content, highlighting the significant productivity gains for individuals.

BTC Markets (1)

Jordi Visser describes Bitcoin's recent price action as an 'IPO' event, involving a significant distribution from early holders to new buyers, including ETFs, which have continued to accumulate during price dips.

Protocol (1)

Jordi Visser asserts that Bitcoin's strongest historical performance, with annualized returns of 247%, occurred when year-over-year CPI was above three-month bills and the Fed was on hold or easing, a regime he believes the market is rapidly approaching.

#Agents #Macro #BTC Markets #Enterprise #Chips

The AI Daily Brief: Artificial Intelligence News and Analysis

Nathaniel Whittemore

Where the Economy Thrives After AI • Apr 26

Also from this episode: (17)

AI & Tech (9)

Nathaniel Whittemore criticizes the prevalent AI jobs discourse for disproportionately focusing on negative societal impacts, arguing that labs fail to effectively communicate AI's benefits to the public.
Nathaniel Whittemore believes predictions of high unemployment from AI are incorrect, noting that new technologies always involve a period of creative destruction where the initial destruction is more visible than subsequent creation.
Nathaniel Whittemore suggests that in an AI-driven economy, constraints may shift from supply (production capacity) to demand and consumption capacity, with time and attention becoming key vectors.
Alex Emos, an economist, argues advanced AI will shift economic scarcity from material production to human-intensive 'relational' services, driving demand for experiences where human involvement is integral to value.
Alex Emos explains that if automation makes human production inexpensive, economics remains relevant by identifying new forms of scarcity. The central question becomes: what becomes scarce when machines replicate production?
Alex Emos argues that while industrialization created the 'commodity form' - products valued independently of their maker - AI may trigger its decline as a share of economic activity.
David Autor and Neil Thompson's research distinguishes how AI impacts jobs: automating simpler tasks makes remaining work more specialized and raises wages, while automating harder tasks makes jobs more accessible and lowers wages.
Alex Emos posits a 'post-commodity economy' where a growing share of expenditure goes to goods and services whose value is inseparable from the human provider, moving workers into a 'relational sector.'
Alex Emos's research with Gland Mandal suggests AI involvement undermines a good's perceived exclusivity; human-made art gained 44% in value from exclusivity, while AI-generated art gained less than half, only 21%.

Business (4)

Alex Emos cites Starbucks' experience: the company initially increased automation but then reversed course, hiring more baristas and re-emphasizing human hospitality because small details drive customer satisfaction.
Diego Comin, Daniel, and Marty Mysteri's 2021 Econometrica paper highlights that demand is non-homothetic: as people get richer, they shift spending towards sectors with higher income elasticity, like services.
Comin, Lashkari, and Mysteri estimate that income effects account for over 75% of observed structural change patterns, indicating people want fundamentally different things as they get richer.
The 2022 BLS consumer expenditure study shows that higher-income households spend 4.3 times more than lower-income households and disproportionately more on relational categories like dining, entertainment, and education.

History (1)

Historical structural change, exemplified by agriculture's decline from 40% of the US workforce in 1900 to under 2% today, shows that productivity gains shift labor to higher-income elasticity sectors.

Science (1)

Alex Emos, referencing René Girard, explains that beyond basic needs, human desire is often mimetic - influenced by what others desire, especially for status or exclusivity, which drives demand for non-commodity goods.

Labor (2)

Alex Emos argues the 'relational sector' - including care, education, hospitality, and arts - will absorb spending and employment as commodity production automates, becoming a labor market solution as human services remain comparatively expensive.
Alex Emos identifies durable future jobs in the relational sector, such as nurses, therapists, teachers, and personal chefs, emphasizing that human involvement makes a product feel uniquely made for someone by someone.

#Macro #Labor #Banking #Markets

Forward Guidance

The Fed Is Irrelevant While CapEx Runs The Economy | Weekly Roundup • Apr 24

Kevin Warsh advocates for significant reforms at the Fed, proposing to eliminate forward guidance and dot plots, and to enhance economic analysis for more accurate inflation measures.
Quinn argues excessive Fed communication creates policy lock-ins, citing 2021 QE continuation despite high inflation. Tyler believes balance sheet reduction is idealistic and will likely revert to expansion during systemic shocks.
The economy is undergoing a fundamental shift, with AI driving a massive capital expenditure boom. This is evidenced by surging M2 money supply, bank lending at levels unseen since 2008, and data center spending surpassing general office spending.
Companies are aggressively pursuing AI-related capital expenditures to remain competitive, with Tesla projecting over $25 billion in capex this year. The semiconductor index is up 16 consecutive days, and Intel's earnings beat caused a 13% stock rise after hours.
Host and Quinn warn that while AI presents long-term growth, the short-term market is "rich" with high retail call option volume, often preceding reversals. Quinn advises against short-term options trading due to institutional advantages.
ADP data shows labor reacceleration, but a significant skills gap exists where liberal arts graduates struggle while engineers in AI-related supply chains thrive. AI is expected to displace "email sending jobs" like financial analysts and accountants.
High yield spreads are near historical lows at 317 basis points over Treasuries, suggesting corporate financial health. However, Tyler posits that much of the riskier debt may now reside hidden within private credit markets.
Tyler highlights how Austin's expansion of housing supply has lowered home values, boosting affordability and attracting workers. This contrasts with San Francisco's restrictive policies, which perpetuate unaffordability and hinder growth.
Despite de-dollarization narratives, the US dollar's share of international transactions via Swift is surging. Tyler attributes this strength to the US being the world's largest oil and gas producer and its strategic global dominance.
The Japanese Yen's break of the 160 USD/JPY level is a critical indicator. Such a move could trigger a dollar "wrecking ball" event, causing global credit problems and historically preceding NASDAQ peaks.
ESG popularity plummeted with inflation's return in 2022, indicating it was a "zero-rate phenomenon." This shift highlights a reversal in priorities, with energy security now prioritized over environmental mandates by institutions previously shunning oil and gas.

Also from this episode: (1)

Social Media (1)

Google Trends data reveals a decline in OnlyFans interest concurrent with a surge in church attendance, particularly among young people in New York. This suggests a rejection of nihilism and a search for community.

#Fed #Macro #AI Infrastructure #Labor #Energy