Skip to content
All-In PodcastAll-In Podcast

E126: Big Tech blow-out, Powell’s recession warning, lab-grown meat, RFK Jr shakes up race & more

(0:00) Bestie intro! (1:10) Google's mixed bag, Big tech leaves the growth phase, macro picture (24:21) AI update: new projects, global enablement, early adoption (37:38) SF CRE continues to collapse, Gotham City update (47:52) Lab-grown meat: possibilities, potential impact, and major constraints (1:06:47) Quick earnings button and RFK Jr's presidential bid 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.google.com/finance/quote/GOOG:NASDAQ https://www.cnbc.com/2023/04/25/google-authorizes-70-billion-buyback.html https://www.cnbc.com/2023/04/25/googles-cloud-business-turns-profitable-for-the-first-time-on-record.html https://www.cnbc.com/2023/04/20/alphabet-merges-ai-focused-groups-deepmind-and-google-research.html https://www.theinformation.com/articles/in-google-founders-shadow-ceo-pichai-discovered-the-limits-of-his-power https://abc.xyz/investor/static/pdf/2023Q1_alphabet_earnings_release.pdf?cache=0924cc https://thehill.com/business/3975838-fed-chief-duped-into-fake-interview-with-russians-posing-as-zelensky https://fred.stlouisfed.org/series/JTSJOL https://fred.stlouisfed.org/series/CIVPART https://www.lawnext.com/2023/04/harvey-ai-raises-21m-in-a-series-a-round-led-by-sequoia.html https://www.wsj.com/articles/pricewaterhousecoopers-to-pour-1-billion-into-generative-ai-cac2cedd https://twitter.com/friedberg/status/1651371655774584832 https://twitter.com/mckaywrigley/status/1651291367224807424 https://www.wsj.com/articles/san-francisco-commercial-real-estate-office-buildings-471742ea https://twitter.com/Jason/status/1650974906916671493 https://www.kron4.com/news/bay-area/ex-san-francisco-fire-commissioner-attacked-homeless-people-with-bear-spray-attorneys-say https://www.wsj.com/articles/inside-the-struggle-to-make-lab-grown-meat-12cf46ab https://www.cnbc.com/2023/04/27/amazon-amzn-q1-earnings-report-2023.html https://twitter.com/RobertKennedyJr/status/1649190840198209537 #allin #tech #news

Jason CalacanishostChamath PalihapitiyahostDavid Friedberghost
Apr 28, 20231h 16mWatch on YouTube ↗

CHAPTERS

  1. 0:00 – 1:09

    Cold open: lab-grown meat jokes and “besties are back” banter

    The episode kicks off with playful, off-the-rails joking about “lab-grown meat,” inside jokes, and the hosts reestablishing their rhythm together. It’s a light warm-up before diving into earnings and macro.

    • Running gag around lab-grown meat and getting “canceled”
    • Hosts emphasize the show’s chemistry returning
    • Quick shout-outs and catchphrases before moving to the agenda
  2. 1:09 – 2:20

    Google Q1 earnings: buybacks, Cloud profitability, and weakening ad signals

    Jason summarizes Google’s quarter: a big buyback authorization, first-time Cloud profitability, and mixed ad/search/YouTube trends. The group frames the results against recession fears and the broader ad slowdown.

    • $70B buyback authorization and Cloud reaches profitability
    • Search up modestly YoY; YouTube and Other Bets decline
    • Seasonality vs. macro-driven ad softness
    • Sets up questions about leadership and strategy
  3. 2:20 – 6:15

    What investors didn’t hear: Google’s missing AI narrative and cost plan

    Sacks argues the biggest issue wasn’t the numbers but the lack of a convincing forward strategy—especially on AI and structural costs. He contrasts Google’s messaging with peers that are explicitly optimizing for cash flow.

    • Google perceived as hesitant due to regulatory/cultural risk
    • Wall Street wants clear AI product strategy and competitive plan
    • Cost-cutting viewed as superficial vs. structural
    • Buyback is an authorization, not a committed schedule
    • Comparison to Meta’s sharper cost discipline and communication
  4. 6:15 – 11:31

    Sundar, Larry, and Big Tech after “peak growth”

    The conversation turns to whether Google needs leadership change and expands into a broader thesis: Big Tech has matured into ex-growth cash machines. Innovation is framed as slower, acquisitions are harder politically, and financial engineering fills the gap.

    • Debate over Sundar’s ability to align an “amorphous” org
    • Argument: Big Tech is now largely ex-growth / cash-cow mode
    • Difficulty naming major organic innovations since early eras
    • Regulatory pressure limits big acquisitions (e.g., Activision)
    • Buybacks and EPS management replace growth as the playbook
  5. 11:31 – 12:37

    Big Tech’s paradox: beating forecasts while the economy looks shaky

    Chamath notes revenue growth has slowed to single digits, yet most major firms beat expectations and offered upbeat guidance. The group highlights the mismatch between resilient megacap earnings and a fragile macro backdrop.

    • Single-digit revenue growth across major platforms
    • Stocks pop on beats and guidance despite muted growth
    • Google more cautious than peers on outlook
    • Question: are megacaps insulated, or were expectations sandbagged?
  6. 12:37 – 18:13

    Powell’s recession and wage-cooling comments: demand destruction vs. better options

    Using Powell’s prank-call interview as a hook, Chamath outlines the Fed’s view: recession or near-zero growth is likely, and cooling wages is part of the anti-inflation plan. He argues policy over-relies on a “sledgehammer” approach and ignores supply-side/fiscal fixes.

    • Powell frames sub-1% growth or recession as most likely outcomes
    • Fed rationale: slow economy to tame inflation; cool labor/wages
    • Critique: fiscal deficits and money printing remain major drivers
    • Supply-side ideas: energy policy, easing bottlenecks, boosting production
    • Inflation framed as money supply relative to goods/services
  7. 18:13 – 22:58

    Labor market dysfunction: job openings, participation, and “unemployment hacking”

    Jason and Chamath discuss persistent job openings and low labor-force participation, suggesting the labor supply constraint is inflationary. They debate whether policy and incentives could pull more people back into work without triggering a recession.

    • Job openings remain elevated despite slowdown expectations
    • Labor-force participation still below prior highs
    • Claims of benefit/incentive issues and difficulty filling service roles
    • Immigration constraints discussed as labor supply limiter
    • Supply-side labor expansion framed as preferable to demand destruction
  8. 22:58 – 33:30

    AI as deflationary force: knowledge work compression and new productivity tools

    The conversation shifts to AI’s impact on labor and inflation: scarce physical labor pushes wages up, while AI drives knowledge work costs down. Jason shares hands-on experiments with OpenAI plugins/Zapier and forecasts rapid adoption pressure for white-collar workers.

    • Thesis: physical labor gets pricier; knowledge work becomes deflationary
    • Harvey.ai example: AI entering high-billable professional services
    • Jason’s workflows: lead research, CRM-style outreach, newsletter automation
    • Prediction: significant share of knowledge work becomes automatable quickly
    • Debate: need to “learn to code” vs. simply prompt in natural language
  9. 33:30 – 37:50

    From cost cutting to creation: AI enables entirely new products and categories

    Sacks argues the real second-order effect of AI isn’t just cheaper labor, but making previously “unbuildable” products feasible for small teams. They discuss a prototype that fuses vision, speech, and LLMs as evidence of how fast new product surfaces can emerge.

    • New leverage leads to new capabilities, not just headcount reduction
    • Example: webcam object recognition + ChatGPT + voice interface prototype
    • Rapid prototyping by individuals/small teams becomes mainstream
    • Analogy: broader access creates more “players,” boosting innovation
    • Expectation of new industries/categories within months, not years
  10. 37:50 – 44:21

    SF commercial real estate reset: 80% valuation drops and who buys the wreckage

    Jason describes downtown San Francisco as a ghost town and cites a marquee building potentially selling for 80% less than prior value. Chamath explains “land banking” and why only long-duration equity buyers can underwrite years of vacancy and carrying costs.

    • Case study: 350 California St. potentially down from $300M to ~$60M
    • Downtown foot traffic down sharply; vacancies ~30%+ (possibly higher)
    • Debt financing breaks when buildings can’t support cash flow
    • Replacement cost vs. market price creates distressed opportunity
    • Timeline: recovery could take 5–10+ years depending on city turnaround
  11. 44:21 – 47:54

    “Gotham City” update: bear spray incident and SF lawlessness debate

    The hosts discuss a violent incident involving a city official, allegations of bear spray use, and the DA’s charging decisions. The debate broadens into public safety, proportionality, and whether the city is trapped in a cycle of disorder that discourages recovery.

    • Incident recap: confrontation, alleged bear spray, assault with a metal pipe
    • Argument: even if provoked, pursuit and escalation isn’t self-defense
    • Criticism of DA decisions and inconsistent accountability
    • Broader theme: lawlessness harms city revival and business confidence
    • “Gotham City” framing as a symptom of deeper governance issues
  12. 47:54 – 1:06:46

    Lab-grown meat reality check: three categories and why cellular meat is hardest

    Friedberg lays out the alternative protein landscape: plant-based analogs, precision-fermented proteins, and cellular meat. He argues plant-based hype cooled due to taste/price/health tradeoffs, precision fermentation is promising but capacity-constrained, and cellular meat remains far from cost-competitive.

    • Three buckets: plant-based analogs, recombinant/fermented proteins, cellular meat
    • Plant-based (Beyond/Impossible): taste/price/health friction limits repeat demand
    • Precision fermentation: chemically identical proteins; key metric is productivity (g/L/day)
    • Major constraint: global biomanufacturing capacity is scarce/expensive
    • Cellular meat: scaffolding, growth media, and scale make it orders-of-magnitude too costly
  13. 1:06:46 – 1:08:02

    Quick earnings pulse: Amazon pops; recession call gets challenged

    Mid-discussion, Amazon’s results hit and the group reacts to the stock jump. They revisit recession predictions, offering explanations for strong tech earnings amid weak macro signals.

    • Amazon beats EPS expectations; stock jumps after hours
    • Questioning whether earnings strength undermines recession thesis
    • Possible explanations: conservative guidance, tech resilience, or macro lag
    • Powell’s gloomy outlook used to justify sticking with recession view
  14. 1:08:02 – 1:14:28

    RFK Jr. enters the race: antiwar message, CIA critique, and “anti-vax” framing

    Chamath praises RFK Jr.’s announcement and draws parallels to 1968, arguing dissatisfaction with Biden, war fatigue, and economic strain could create an opening. The group debates RFK’s controversial reputation, especially around vaccines, and what his candidacy could do to the primary.

    • Historical analogy: RFK (1968), unpopular war, incumbent vulnerability
    • RFK Jr. themes: antiwar posture, security-state skepticism, CIA criticisms
    • Polling discussion and potential consolidation of protest vote
    • Debate over vaccine skepticism vs. broader campaign focus
    • Hosts express interest in interviewing him and discuss matchup hypotheticals
  15. 1:14:28 – 1:16:10

    Community notes and sign-off: meetups, callbacks, and outro chaos

    They close by celebrating fan meetups around the world and exchanging final jokes and catchphrases. The episode ends with the group’s familiar banter and references to recurring bits from the show.

    • Shout-outs to organizers and global meetup participation
    • Final callbacks to SF jokes and “bear spray” references
    • Host nicknames and signature sign-off style
    • Loose post-outro chatter continues briefly

Get more out of YouTube videos.

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