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David Friedberg: latest market views

The Production Board

Summary

Founder and CEO of The Production Board and CEO of Ohalo Genetics; he founded The Climate Corporation, sold to Monsanto in 2013, co-hosts the All-In Podcast, and was appointed to the President's Council of Advisors on Science and Technology (PCAST) in 2026.

Chorus has 35 views from David Friedberg across 5 episodes on All-In Podcast since October 2, 2026. Their latest calls: bullish on OpenAI, Alphabet and Palo Alto Networks; bearish on Anthropic.

Where they stand

Their latest bullish or bearish call on each company.

  • AnthropicBearish ·
  • OpenAIBullish ·
  • AlphabetBullish ·
  • Palo Alto NetworksBullish ·

What they talk about most

The latest views

Newest first. Every quote is checked against the episode's transcript.

  • AI regulation & safety

    If a consumer agent ignores bank terms and does not block access, liability falls on the agent provider.

    Friedberg says bank terms of service prohibit using an agent to access accounts through the website. If the agent has no capacity to recognize that and stop the access, then liability is a software issue for the agent provider. The exception is where the agent alerts the user that the action violates the terms and asks whether to override. Then liability shifts to the user. He points to a parallel case in e-commerce, where Amazon blocked agents and Grok now stops before checkout, as evidence that the issue is being adjudicated in real time.

    “So given that that's the terms of service, if the agent hasn't built in a capacity to recognize that and stop that access, then it is a software liability issue with the provider of the agent, I believe.”at 29:48

    All-In Podcast: AI Cyber Panic, Ken Griffin's Bubble Warning, The Fall of France? ·

  • Europe's economy

    France is probably the first Western country to fail, with weak growth and heavy public spending.

    France's debt is about 120% of GDP and its national government deficit is 5.4% of GDP, below the US at 6.2%. But France is growing at only about 0.5% while the US grows about 2.3%, which he sees as the difference that keeps the US holding together. He cites a Rand chart showing France's public spending as a share of GDP approaching the peaks of the Soviet Union in 1989, Romania, Venezuela under Chavez and communist China. He argues that more government spending makes conditions worse and leads to revolt, so France is a bellwether for the West.

    “France is, I think, probably the first to go because they're only growing their economy at half a percent while The US is growing, you know, at 2.3%.”at 54:08

    All-In Podcast: AI Cyber Panic, Ken Griffin's Bubble Warning, The Fall of France? ·

  • US deficit & government debt

    The US faces a France-style fiscal cliff, with public spending near 36% of GDP and a 6.2% deficit.

    US public spending (federal $7.4tn plus state and local $4.6tn) is about $12tn out of a $33tn GDP, roughly 36% of GDP, which he says matches France. The US national deficit is 6.2% of GDP, above France's 5.4%. He argues that all the economic measures are aligned and the cracks are starting to show. Growth at about 2.3% is the only thing holding the US together for now, and he worries about rising political disturbance heading into the midterms.

    “But I would argue that we are facing the same sort of fiscal cliff which leads to this extraordinary social unrest as France.”at 54:24

    All-In Podcast: AI Cyber Panic, Ken Griffin's Bubble Warning, The Fall of France? ·

  • Education

    Winding down federal student loans over a decade would force colleges to cut tuition.

    He wants the federal student loan program wound down and existing student debt cancelled, possibly through a bankruptcy mechanism. He argues that removing federal lending would right-size institutions and their tuition costs, as colleges would have to fit to the market. He says this would take about ten years and needs a firm commitment over the next decade.

    “I think it has to happen with deleting the federal student loan program. What will happen then is you'll right size all the institutions and their tuition costs because then all the institutions will start to fit to the market. It'll take about ten years.”at 57:20

    All-In Podcast: AI Cyber Panic, Ken Griffin's Bubble Warning, The Fall of France? ·

  • US entitlements

    Social Security should shift to individual equity-invested accounts over about a decade.

    He argues all defined-benefit programmes, including the Social Security Trust Fund, should move to defined-contribution plans over roughly a decade. Each person's owed Social Security amount would be deposited into an IRA-style account, so everyone owns equities, similar to Australian superannuation funds. He suggests transitioning about 10% of the owed amount per year to smooth the change, and letting people choose a 40/60 or 80% bonds plan by age.

    “I think all defined benefit programs need to be transitioned to defined contribution programs over, call it, a decade period.”at 58:01

    All-In Podcast: AI Cyber Panic, Ken Griffin's Bubble Warning, The Fall of France? ·

  • Healthcare system & insurers

    Moving health insurance to employer markets would cut prices, but HIPAA rules block it.

    Health care is complicated, but he thinks it should be pushed to the corporations that employ people, which would have to go into a market for insurance. That competition would force insurance prices and services down. He says HIPAA and housing regulations are the two things that stop prices in health care and housing from coming down, so they must be addressed first.

    “Health care is way more complicated, but I think it's fundamentally gotta get pushed to corporations that employ people where they've gotta go into a market for insurance, and that forces the market for insurance to force prices and services down.”at 58:39

    All-In Podcast: AI Cyber Panic, Ken Griffin's Bubble Warning, The Fall of France? ·

  • US deficit & government debt

    US cannot sustain its deficit with France's debt load and growth, so a reset is needed.

    Friedberg compares the US with France. The US has a similar debt-to-GDP ratio and a deficit that is higher relative to GDP, but only modestly higher growth. From this he concludes the US must cut its deficit from about 7.5% of GDP to about 4% and will need some form of reset, either a social upheaval or a managed economic one that deflates asset values.

    “I don't think we can run a higher deficit to GDP than France in The United States with the same debt to GDP as France and only modestly higher GDP growth, I think we are fundamentally going to need to have some degree of reset in The United States.”at 1:09:40

    All-In Podcast: AI Cyber Panic, Ken Griffin's Bubble Warning, The Fall of France? ·

  • Education

    Ending federal student loans would deflate the higher-education system.

    Friedberg argues the federal student loan system props up higher-education prices. Removing federal student loans would deflate that part of the economy, one of several ways he suggests the US can resolve its debt problem.

    “you basically can deflate parts of the economy, like the education system, the higher education system by taking away federal student loans.”at 1:10:15

    All-In Podcast: AI Cyber Panic, Ken Griffin's Bubble Warning, The Fall of France? ·

  • US housing

    Cutting federal mortgage underwriting would hit housing and cut middle-class net worth 10-20%.

    Federal home loan programs have been used to keep home prices high, which keeps middle-class net worth high. That has made homes inaccessible to young buyers. Reducing underwriting and volume would reprice housing and drop middle-class net worth by 10-20%, a transfer of asset value that makes housing accessible to young people.

    “You can have a hit to housing, which will drop the net worth of middle class by 10 to 20% by taking the federal home loan system and reducing the underwriting that's happening.”at 1:10:15

    All-In Podcast: AI Cyber Panic, Ken Griffin's Bubble Warning, The Fall of France? ·

  • US entitlements

    Moving pensions and Social Security to defined contribution would have left Americans far wealthier.

    Friedberg traces the shift away from defined-benefit plans to ERISA. Only government plans still offer defined benefits, because unionized public employees kept them. He argues that defined-contribution structures, including Social Security, would have left people with much more money, and says the current pension system is either overloaded or underloaded, which is bad either way.

    “This is what's so sad about it. If they had moved to defined contribution programs, including Social Security, they would have all had so much more money.”at 1:11:14

    All-In Podcast: AI Cyber Panic, Ken Griffin's Bubble Warning, The Fall of France? ·

  • US immigration

    Ending social services for immigrants would self-select productive immigrants into the US.

    Friedberg argues that if a country pays social services to an immigrant population, it is probably the wrong population. Immigrants who are productive and self-supporting add to the economy, so the screen should favor them. He says removing social services for immigrants would self-select the right immigrants, which is a framework for who should be allowed in.

    “And an easy way to solve it is get rid of social services for immigrants. As soon as you get rid of social services for immigrants, then you self select into the right population that's gonna come in.”at 1:20:01

    All-In Podcast: AI Cyber Panic, Ken Griffin's Bubble Warning, The Fall of France? ·

  • US tax & spending policy

    Lower tax and government spending as share of GDP expands individual opportunity; the US should move down.

    Friedberg uses a chart showing France collects the most tax revenue as a percent of GDP, at 46%, and says government share and tax share move with growth. He argues quality of life and individual progress fall as the government takes a larger share of GDP, and rise as it shrinks. The US should move down that chart.

    “as tax revenue goes down as a percent of GDP and as government spending as a percent of GDP goes down, your opportunity as an individual, the basis of the foundation of this great country improves.”at 1:28:19

    All-In Podcast: AI Cyber Panic, Ken Griffin's Bubble Warning, The Fall of France? ·

  • US jobs & labor market

    Raising the minimum wage prices out low-wage jobs; California's fast-food hike shows the job losses.

    Friedberg points to California's 2024 fast-food wage increase, which Jason cited as costing 18,000 jobs in the state. He argues that when wages rise against market demand, consumers who can't pay higher prices buy less, so there is less revenue to pay wages. Consumers lose their local restaurant and workers lose jobs they voluntarily took at lower wages.

    “The reason is that the fast food industry sells food to consumers. Consumers want cheap fast food. So when you increase the labor rate against the market's demand... I'm not paying $8 for a burger.”at 1:37:35

    All-In Podcast: AI Cyber Panic, Ken Griffin's Bubble Warning, The Fall of France? ·

  • Cybersecurity

    AI math advances could enable classical cryptanalysis before quantum computers can break encryption.

    Friedberg relays a senior AI researcher's view that AI models could break encryption before quantum computers do. He links it to the recent OpenAI math result, which he sees as an early sign. He then argues the mechanism: on the open frontiers of number theory, better models could yield better predictors of how primes are distributed. Classical models built on such results could then start to break cryptography through an arithmetic route rather than a quantum one. Arvind rebuts this, saying the question is how long it would take per key.

    “But just using classical computing, you can actually have a different path, an arithmetic path. For example, if you had a better predictor of the distribution of prime numbers... We can start to have classical models that can start to break cryptography.”at 8:27

    All-In Podcast: Arvind Krishna & Nikesh Arora: Quantum Threat, Open vs Frontier AI, AI Cyber Warfare & SaaS Collapse ·

  • Software & SaaS

    Founder-led SaaS with embedded user experience can be distinguished from the SaaS-apocalypse group.

    Friedberg says he was a big subscriber to the SaaS-apocalypse thesis at the time Figma's quarterly results came out, showing 48% growth and accelerating business momentum. He argues that SaaS companies can be separated along lines such as founder leadership and embedded user experience. He adds that founders who know how to use AI to accelerate and reinvent their business are particularly well placed. He uses Figma's growth to show that the category is not uniformly doomed.

    “I do think that there's a bunch of ways to distinguish SaaS companies, one of which I think is founder led. And I think that there's user experience that matters a lot, embedded user experience”at 14:34

    All-In Podcast: Dylan Field: Is AI Replacing Designers?, Design is the New Code & Democratizing Creativity ·

  • AI: overall outlook

    Belief that AI is conscious will become a belief system that splits people into camps and drives human-on-human conflict.

    Friedberg argues consciousness cannot be proven or disproven through logic or empiricism, so claims that AI is conscious sit outside science as a belief system. Such belief systems spread through narrative rather than proof, form groups, and build power structures. He expects that in roughly ten years large groups will believe AI is conscious and others will not, and that these groups will fight over control of AI and who uses or runs it, likely leading to human-to-human conflict. He sees the Anthropic outreach to religious leaders as planting the seed of this belief system.

    “The idea that you can prescribe or describe AI as being conscious is effectively the creation of a new belief system, a system that doesn't actually spread via proof. It spreads via narrative.”at 6:24

    All-In Podcast: Is Claude Conscious? Pope Rejects, Model Welfare Movement, OpenAI's Math Backlash, France Riots ·

  • AnthropicBearish

    Users will abandon AI models that refuse tasks on moral grounds, so the market, not regulation, should solve it.

    Friedberg compares an AI product that tells the user it may not do what they ask to a drill that won't work after 8 PM or decides the user is a bad person. Customers will choose the software that does what they tell it to do. He therefore thinks the moral-objection design is a bad idea that the market will punish. He argues against a regulatory overreaction, since regulating Anthropic is unnecessary when buyers will switch to competitors. He still agrees with Sacks that a real superintelligence risk can persist if the lab is training it this way.

    “to me, this is more a bad idea than we need to kind of jump into a regulatory freak out about it because, basically, if you simplify down what they're saying, you get a product”at 30:29

    All-In Podcast: Is Claude Conscious? Pope Rejects, Model Welfare Movement, OpenAI's Math Backlash, France Riots ·

  • OpenAIBullish

    OpenAI's math proofs are a huge discovery with downstream effects on chips, quantum computing and medicine.

    Friedberg calls it probably the biggest day of discovery in human history. He says the proofs span electronics, quantum computing, aircraft systems and medical diagnostics. Prior Navier-Stokes work took thousands of hours and millions of dollars, while each of these proofs took under three hours of compute, roughly the equivalent of hundreds or thousands of years of human labor. He cites a friend's quantum-sensor company where one proof has direct implications for GPS, medical devices and chip making, and notes an algorithm result that could speed AI training and numerical computing.

    “I think I can confidently say it's probably the biggest day of discovery in human history”at 39:19

    All-In Podcast: Is Claude Conscious? Pope Rejects, Model Welfare Movement, OpenAI's Math Backlash, France Riots ·

  • AI & jobs

    AI won't displace physical human-in-the-loop jobs; digital loop jobs are more likely to be scaled up.

    Friedberg says AI loops (hypothesis, test, revise) can run entirely in silico for mathematics, so math work is compressed. In drug discovery, protein folding or materials science, the loop is gated by physical lab testing, so speed gains are limited. Truck driving shows the same pattern: predictions that drivers would be replaced by 2025 have not come true, because AI does not shorten the pick-up-and-drop loop. He concludes that AI will not take physical jobs, while purely computer-based loop jobs are the most likely to be accelerated or scaled up.

    “a lot of the physical stuff that has human in the loop, that has physical world applications, AI is not gonna take away those jobs.”at 43:57

    All-In Podcast: Is Claude Conscious? Pope Rejects, Model Welfare Movement, OpenAI's Math Backlash, France Riots ·

  • Bitcoin & crypto markets

    A factorization breakthrough could break public-key crypto before quantum computers, putting wallets at risk.

    Friedberg notes that no cryptography proofs were published among the OpenAI results, which he reads as a sign that significant cryptography progress may have been made but withheld. Some posters argue public-key wallets are now seriously at risk, and the crypto community is in a panic. He says that if a result on number factorization breaks public-key cryptography before quantum computers arrive, that would be a real problem. He also points to a rumor that two more OpenAI releases are being held back, which could include such work.

    “if this ends up having a set of mathematical solves for number factorization that could lead to breaking public key cryptography before quantum computers come around... then we have a real problem.”at 50:57

    All-In Podcast: Is Claude Conscious? Pope Rejects, Model Welfare Movement, OpenAI's Math Backlash, France Riots ·

  • US housing

    US housing prices are rising about 5.5-6% a year, beating inflation, which he ties to the subsidy system.

    Friedberg says health care and housing have both beaten inflation. He puts housing price growth at about 5.5 to 6% a year. He attributes this to the subsidy system, which in his framing distorts prices as the government keeps adding services and support. The transcript cuts off before he finishes the causal chain, so the argument is only partly developed.

    “Health care and housing have all beaten inflation. I think they're about five and a half to 6% a year for housing prices.”at 1:09:58

    All-In Podcast: Is Claude Conscious? Pope Rejects, Model Welfare Movement, OpenAI's Math Backlash, France Riots ·

  • Enterprise AI adoption & AI software

    Parallelized AI loops will make all digital workflows more productive and efficient.

    Friedberg describes a hotel search: software can check 50 websites in parallel and stop early, which beats a human checking one after another. The efficiency gain comes from parallelised loops that finish faster. He concludes that anything done digitally today fits this model, so all digital workflows will become more productive.

    “And that's really where the efficiency gain comes from, a loop that gets parallelized... I think anything that's done digitally today fits that model.”at 1:28:46

    All-In Podcast: Is Claude Conscious? Pope Rejects, Model Welfare Movement, OpenAI's Math Backlash, France Riots ·

  • AI & jobs

    As loops get automated, humans must shift from credentials to making products; AI means more money for all.

    Friedberg argues that once digital loops are automated, humans must become makers who produce goods or services people use, rather than being recognised for papers or IP. He believes all people have that capacity and will find more joy in it. He argues cheaper goods bring Jevons-paradox demand, so the result is more money and prosperity for all people, not less.

    “I think you end up seeing the necessity for all humans to basically become much more of a maker... And I don't think that it means less money. I think it means more money for all people.”at 1:29:59

    All-In Podcast: Is Claude Conscious? Pope Rejects, Model Welfare Movement, OpenAI's Math Backlash, France Riots ·

  • Open-source AI models

    Open-weight AI models can't be centrally regulated; policy will shift from regulating models to regulating data center and GPU access.

    Friedberg says open-source and open-weight models are effectively ubiquitous, can run on small local machines, and new models appear roughly every eleven days outside any central jurisdiction. He therefore calls attempts to centralize and regulate model development a fool's errand. He predicts the policy conversation will shift within twelve to eighteen months from regulating or scoring models to regulating data center and GPU access.

    “It becomes very hard and practically impossible to actually regulate the development of the software. That's the truth. It is what it is. You may not like it, but it is what it is.”at 19:47

    All-In Podcast: Trump's Super Intelligence Summit, AI Safety Accord, GDP Beats, Midterm Predictions ·

  • Palo Alto NetworksBullish

    Palo Alto Networks benefits as AI-driven attacks make cyber defense a board-level top priority and cyber budgets surge.

    Friedberg expects rising AI-driven risks to force a massive rise in defense systems. He heard in DC that Fortune 50 CEOs are very worried about cyber defense and will make it their board-level number one priority, so cyber budgets will 'go through the roof'. Because defending against AI attacks requires AI-based tools, he names Palo Alto Networks as a beneficiary of this investment theme.

    “I think we will see a massive rise in defense systems... companies like Palo Alto Networks, I think the investment in this space, what I heard in DC this week was some Fortune 50 CEOs are very worried about cyber defense.”at 20:14

    All-In Podcast: Trump's Super Intelligence Summit, AI Safety Accord, GDP Beats, Midterm Predictions ·

  • AI infrastructure & data centers

    AI-powered cyber defense is an arms race that mandates continued AI data center buildout; governments will eventually allocate GPU and compute access like utilities.

    Friedberg argues that cyber defense in an AI era is an arms race requiring competitive AI. The US cannot pause or turn off AI because open-weight models and data centers exist in 197 sovereign countries. The need for AI-powered cyber defense at enterprise, government and consumer levels therefore mandates continued data center buildout. He also predicts governments will eventually regulate and allocate GPU and compute access rather than control models, treating data centers like utilities.

    “The cyber defense necessity actually mandates that we continue to build out data centers to support it.”at 21:56

    All-In Podcast: Trump's Super Intelligence Summit, AI Safety Accord, GDP Beats, Midterm Predictions ·

  • AlphabetBullish

    Google's SynthID protein watermarking shows companies self-regulate on AI biosecurity without government mandates.

    Friedberg cites Google's launch of SynthID for watermarking AI-generated proteins (embedding marks in the DNA sequence and the 3D protein structure) as evidence that the market and companies self-regulate in response to societal signals, without needing government mandates. He calls it a pretty amazing technology for defense systems in AI bio.

    “Google also launched Synth ID. And Synth ID is a system for watermarking proteins that are produced with AI... This is actually a pretty amazing technology that Google developed for creating watermarking and defense systems in AI bio.”at 34:58

    All-In Podcast: Trump's Super Intelligence Summit, AI Safety Accord, GDP Beats, Midterm Predictions ·

  • Open-source AI models

    Open-source and open-weight AI benefits everyone because no company charges a toll, like the open internet; regulatory capture threatens it.

    Friedberg argues open-source and open-weight AI benefits everyone because no company charges a toll for it, much like the open internet that was preserved despite telco efforts to create gatekeepers. He sees a faction pursuing regulatory capture to create gates and new power structures, while the other side fights for openness.

    “why does open source and open weight AI benefit everyone because there's no company that's charging you a toll for this digital technology. It's just like the Internet. We maintained an open Internet.”at 42:45

    All-In Podcast: Trump's Super Intelligence Summit, AI Safety Accord, GDP Beats, Midterm Predictions ·

  • US deficit & government debt

    Surging short-term rates, rooted in wasteful federal spending, will hurt Americans' refinancing and credit purchases.

    Friedberg says short-term Treasury yields jumped 60bps in a month, which hurts refinancing, auto and credit purchases for most Americans. He roots the rate problem in insane federal spending, calling it negative-productivity spending that creates fake employment and is 'like pouring acid' on growth.

    “this massive increase in rates is obviously gonna impact people's ability to refinance their home, buy a new car, purchase things on credit... the rate problem is fundamentally rooted in the federal government and the insane spending.”at 49:44

    All-In Podcast: Trump's Super Intelligence Summit, AI Safety Accord, GDP Beats, Midterm Predictions ·

  • Banks

    A roughly 60bp jump in short-term Treasury yields could impair about 95 banks' equity by over 20%, rippling through the economy.

    Friedberg points to short-term Treasury yields rising about 60bps in thirty days to the highest since 2002. His analysis of FDIC-reported balance sheets of 4,295 banks suggests about 95 banks would see over 20% equity impairment, with reports due October 30, which could ripple through the economy starting with financial institutions and coincide with the election. He attributes the rate problem to federal spending.

    “about 95 banks are gonna see an impairment of more than 20% of their equity in the last thirty days or so and those reports start to come out on October 30.”at 50:33

    All-In Podcast: Trump's Super Intelligence Summit, AI Safety Accord, GDP Beats, Midterm Predictions ·

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