Skip to content
All-In PodcastAll-In Podcast

E98: Big tech starts making cuts, Fed incompetency, global debt, Russia/Ukraine & more

0:00 Bestie intros! 1:36 Big tech starts making cuts and what this means for the broader economy and startups 31:09 Global debt numbers, Fed incompetency 54:06 RIP Coolio 1:00:30 Russia / Ukraine update Follow the besties: https://twitter.com/chamath https://linktr.ee/calacanis https://twitter.com/DavidSacks https://twitter.com/friedberg Follow the pod: https://twitter.com/theallinpod https://linktr.ee/allinpodcast Intro Music Credit: https://rb.gy/tppkzl https://twitter.com/yung_spielburg Intro Video Credit: https://twitter.com/TheZachEffect Referenced in the show: https://www.bloomberg.com/news/articles/2022-09-29/meta-announces-hiring-freeze-warns-employees-of-restructuring https://www.google.com/finance/quote/META:NASDAQ https://www.google.com/finance/quote/AAPL:NASDAQ https://www.google.com/finance/quote/GOOG:NASDAQ https://www.cnbc.com/2022/09/28/stanley-druckenmiller-sees-hard-landing-in-2023-with-a-possible-deeper-recession-than-many-expect.html https://www.google.com/finance/quote/NFLX:NASDAQ https://www.mckinsey.com/capabilities/mckinsey-digital/our-insights/if-youre-going-to-build-something-from-scratch-this-might-be-as-good-a-time-as-in-a-decade https://www.forbes.com/sites/jonathanponciano/2021/05/11/billionaire-investor-druckenmiller-blasts-feds-radical-stimulus-policy-warns-it-risks-stock-bubble-blowing-up https://www.cnbc.com/2022/09/28/cnbc-transcript-duquesne-family-office-chairman-ceo-stanley-druckenmiller-speaks-with-cnbcs-joe-kernen-live-during-the-cnbc-delivering-alpha-conference-today.html https://www.xe.com/currencycharts/?from=GBP&to=USD&view=1M https://www.bls.gov/charts/job-openings-and-labor-turnover/unemp-per-job-opening.htm https://fred.stlouisfed.org/series/JTSJOL https://www.wsj.com/articles/a-nation-of-quitters-great-enabling-exodus-working-age-men-parents-stimulus-covid-quit-retirement-bohemian-videogame-11664112795 https://goop.com/subscribe https://www.reuters.com/world/putin-host-kremlin-ceremony-annexing-parts-ukraine-2022-09-29 https://www.reuters.com/world/europe/zelenskiy-says-ukraine-applying-nato-membership-2022-09-30 https://www.reuters.com/world/europe/qa-nord-stream-gas-sabotage-whos-being-blamed-why-2022-09-30 https://www.aa.com.tr/en/economy/former-polish-foreign-minister-thanks-us-for-damaging-nord-stream-pipeline/2696530 https://www.theamericanconservative.com/should-america-go-all-in-on-ukraine #allin #tech #news

Jason CalacanishostDavid FriedberghostChamath PalihapitiyahostCoolioguest
Oct 1, 20221h 19mWatch on YouTube ↗

CHAPTERS

  1. 0:00 – 1:36

    Bestie banter, hats, haircuts, and setting the tone

    The episode opens with the hosts riffing on each other’s looks—Friedberg’s hair, Sacks’ Moncler hat, and Chamath’s signature white streak. The light banter establishes the show’s dynamic before pivoting into the week’s major tech and macro headlines.

    • Playful intro jokes about hats, haircuts, and personal style
    • “Besties” roll call and comedic jabs among hosts
    • Transition setup toward big tech news and the economy
  2. 1:36 – 2:54

    Meta, Apple, and Google signal a new era: hiring freezes and headcount cuts

    Jason frames the lead story: Meta’s hiring freeze and first-ever headcount reduction, Apple’s iPhone production pullback, and Google’s productivity critique. The group starts interpreting these moves as signals about demand, margins, and a broad economic slowdown.

    • Meta plans to reduce 2023 headcount below 2022 levels
    • Apple pulls back iPhone 14 production amid slower demand; return-to-office as “gentleman’s layoff”
    • Google leadership highlights productivity concerns given headcount
    • Question: are these the last shoes to drop or the beginning of deeper cuts?
  3. 2:54 – 4:49

    From growth-at-all-costs to cash-cow discipline (and why it may be just beginning)

    Chamath argues big tech is shifting from top-line expansion to operating like mature cash-generating businesses. Because these firms are widely held “safe havens,” their belt-tightening is interpreted as an early warning for the rest of the market.

    • Big tech acknowledging tapering growth and tighter valuation multiples
    • Expense management and smaller experimentation surface area
    • Big tech as the “US Treasuries of equities” amplifies the signal
    • View: this is the beginning, not the end, of austerity
  4. 4:49 – 7:53

    A generational shift in Silicon Valley comp: perks, pay, and job mobility reverse

    Friedberg zooms out historically to compare the current mood to the post–dot-com deflationary period. He describes how Google-era perks and compensation escalated for nearly two decades—and why a reversal could shock tech workers accustomed to easy job hopping.

    • 2001–2003: deflationary tech environment as historical parallel
    • 2004+ Google-era benefits and compensation arms race became industry standard
    • Reversal implies tighter comp bands, reduced perks, fewer offers, less job mobility
    • Cultural reset for tech talent expectations
  5. 7:53 – 10:08

    Recession spreads beyond tech: Netflix/Hollywood deal-making freezes

    Sacks shares an anecdote from Hollywood: massive content and talent deals have stalled as streaming economics are scrutinized. The point is that the asset-bubble unwind isn’t confined to crypto or growth stocks—it affects real-economy spending and jobs.

    • Hollywood showrunner reports buying activity has “stopped”
    • Netflix’s stock collapse forces spending discipline and model reassessment
    • Competitors follow suit; froth evaporates across the ecosystem
    • Asset bubble consequences spill into real people and real industries
  6. 10:08 – 12:25

    Downturn as opportunity: startups consolidate talent and build winners

    Jason argues that layoffs and startup failures will concentrate talent into stronger companies, creating fertile ground for new startups. Chamath adds that historically, investments made in downturns tend to be the most asymmetric and produce the next generation of iconic companies.

    • Hiring becomes easier for startups as big-tech compensation normalizes
    • Weaker startups shut down; talent migrates to durable winners
    • Down markets historically produce major companies (e.g., post-2000s and 2008 era examples)
    • Theme: fortunes made in down markets, collected in up markets
  7. 12:25 – 24:22

    Price discovery returns: removing the “big tech put,” blocker strategy, and real costs

    Chamath describes big tech as having functioned like a stabilizing “put” that distorted price discovery for engineers and corporate spending. With that support fading, markets can reprice labor and operating costs more realistically, potentially boosting innovation and competition.

    • Analogy to the “Fed put” applied to tech labor and spending
    • Arms race of perks inflated true market-clearing prices
    • “Blocker strategy”: overhiring to prevent disruption
    • Reset enables truer costs and leaner business-building
  8. 24:22 – 31:06

    Market bottom debate: rate-hike cycle patterns, hard landing definition, and tax-loss harvesting

    Chamath claims markets may be bottoming based on historical behavior early in rate-hike cycles. He outlines what a hard landing could look like (higher unemployment, spend pullbacks, ARM mortgage shocks) and suggests some selling is driven by tax-loss harvesting rather than fundamentals alone.

    • Chart-based argument: markets often bottom in first third of hiking cycles
    • Hard landing: unemployment rising to ~5–6%, consumer demand slowing
    • ARM mortgage resets as a key consumer stressor (US and especially UK)
    • Tax-loss harvesting as a driver of near-term selling pressure
  9. 31:06 – 37:31

    Global debt, ‘print more money,’ and the UK mini-crisis as a case study

    Friedberg highlights the scale of global debt and the implied debt-service burden if rates rise sharply, prompting debate about what it actually means in practice. The hosts dissect the UK’s market turmoil and Bank of England intervention as an example of central banks backstopping policy—raising questions about discipline and consequences.

    • Global debt estimate (~$300T) and debt-service sensitivity to rates
    • Debate: does debt math force austerity, or do governments ‘print and extend maturities’?
    • Missed chance for ultra-long bonds (100-year) when rates were near zero
    • UK: fiscal announcement backlash, pound/gilt stress, BoE steps in as buyer of last resort
  10. 37:31 – 47:21

    Why the Fed looks incompetent: ‘transitory,’ politics, and backward-looking data

    Jason and Sacks argue the Fed’s messaging whiplash and delayed response eroded credibility, with political incentives influencing “transitory” narratives. Chamath and Friedberg add that the Fed’s data inputs are lagging and that policy could be modernized using real-time digital signals and more transparent models.

    • Fed chased 2% inflation target aggressively, then dismissed early inflation prints as ‘transitory’
    • Claim: political pressure and Powell’s reappointment incentives shaped messaging
    • Critique: policymaking in coarse increments using lagging indicators (‘rear-view mirror’)
    • Proposal: open-source models, real-time data feeds, algorithmic/AI-assisted rate setting
  11. 47:21 – 49:52

    ZIRP and QE as ‘original sins’: institutionalized emergency policy and social fallout

    The conversation broadens to argue that zero rates and quantitative easing—introduced as crisis tools—became normalized and distorted society and politics. They connect prolonged easy money to labor participation shifts, asset inflation, and the need for painful ‘reset’ dynamics to restore balance.

    • Two ‘original sins’: COVID lockdowns and the overreaction via money printing; plus long-running ZIRP/QE post-2008
    • Emergency programs becoming permanent institutional defaults
    • Asset inflation effects: labor market distortions, quitting culture, reduced participation
    • Idea: restoring balance may require breaking demand and repricing assets
  12. 49:52 – 54:06

    Boomer wealth concentration and generational tension in asset inflation/deflation

    Jason and Chamath discuss wealth concentration among US boomers and how asset inflation boosted older cohorts’ net worth. They argue that ongoing tightening and asset deflation could shift that balance, with major implications for work incentives, consumption, and intergenerational dynamics.

    • Claimed magnitude of boomer-controlled assets (~$71T) and its concentration
    • Asset booms (housing/stocks) influence labor incentives for younger generations
    • Tightening may deflate stocks and real estate, redistributing effective wealth
    • Cultural detour into ‘90s music as a brief palate cleanser
  13. 54:06 – 1:00:39

    RIP Coolio: personal stories, gratitude, and a health PSA

    The hosts share memories of meeting Coolio (including a humorous ‘I appreciate you’ anecdote) and reflect on his kindness. Chamath pivots to practical heart-health advice, highlighting newer lipid-lowering therapies and screening options for early detection.

    • Coolio remembrance and stories from Sacks’ birthday event
    • Coolio cameo message and reflections on his character
    • Health guidance: statin alternatives (PCSK9 inhibitors)
    • Suggested screenings: CT angiogram/calcium scoring and related diagnostics
  14. 1:00:39 – 1:19:37

    Ukraine escalation risks: off-ramps removed, Nord Stream sabotage, and fat-tail outcomes

    Sacks argues recent developments reduce the chances of a negotiated settlement and increase escalation risk, which he views as crucial to market outlook. The group debates nuclear probability vs. economic ‘ring-fencing,’ and Friedberg frames it as a portfolio of low-probability, high-severity tail risks weighing on sentiment.

    • Key events: NATO talk, annexation moves, Nord Stream pipeline attack and attribution uncertainty
    • Sacks’ thesis: peace-deal components being removed, leaving escalation
    • Debate: how markets price humanitarian crises vs. second/third-order economic impacts
    • Fat-tail risk framework: even low probability can dominate decision-making

Get more out of YouTube videos.

High quality summaries for YouTube videos. Accurate transcripts to search & find moments. Powered by ChatGPT & Claude AI.