Speaker
Brad Gerstner
Appearances over time
2 episodes
Episodes
2
Podcasts
Quotes & moments
Secondary market transactions are at historic highs, driven by the emergence of late-stage private companies and institutional asset managers looking for distribution channels.
Anthropic is rumored to be trending toward over $100 billion in annualized revenue by end of 2026, compared to SpaceX's ~$35 billion when it IPO'd.
Employee liquidity options have scaled tremendously, representing nearly one-third of total primary venture activity.
The most recent rumors on Twitter place OpenAI's annualized revenue at around $70 billion, roughly twice SpaceX's forward revenue at IPO.
Secondary assets previously traded at around an 80% discount but reached an average 106% premium in Q1 2026.
Token prices have fallen by roughly 90% per year for each of the last 2.5 years, fueling Jevons paradox — dramatically more consumption as prices drop.
Over 1.5 million Trump Accounts were created and over $1 billion in deposits were made within the first 24 hours of the app going live on July 4th.
Starting with $1,000 at birth and saving just $10 a week into an S&P 500-indexed Trump Account yields approximately $50,000 by age 18.
Brad Gerstner told the president they believe they can raise $100 billion in philanthropic contributions to Trump Accounts within the first 12 months.
SpaceX raised $75 billion at a $1.75 trillion valuation in its IPO, setting a new template for trillion-dollar public offerings with early index inclusion and staged lockup releases.
Private secondary market trading has surged past its 2021 peak, with transactions competing with IPOs as the primary liquidity mechanism. Employee-backed secondaries reached 31% of all primary venture activity in 2025.
Staying private shield CEOs from hard questions, creating an echo chamber of sycophantic private boards. Public markets provide clean, brutal truth and pressure testing that ultimately makes companies stronger.
The alliance between Forge and Charles Schwab will democratize access to legendary private assets like SpaceX. This integration represents a major structural shift toward retail-accessible late-stage private equity.
Many venture capitalists focus exclusively on buying, forgetting that returning liquidity to LPs is the goal. Taking chips off the table during high-priced private secondary rounds is a fiduciary duty.
Mutual funds like Fidelity are capped at 15% private asset ownership, but voluntarily restrict exposure further. When private giants finally IPO, a massive wave of public market dry powder will flood back.
Sierra is building native agents for customer service and sales, redefining software. Although they face platform risk from base models, their sophisticated agentic layers make them highly attractive.
Revolut operates with a next-generation software stack, systematically unbundling traditional banks across Europe and the US. Their robust margins and massive scale make them a prime secondary target.
As chips disaggregate into specialized prefill and decode tasks, AI data centers must reinvent networking. ARIA and DriveNets represent the highly specialized infrastructure layer that will capture massive spend.
Neurorobotics is a German industrial robotics company capturing huge logistics revenues out of the limelight of Silicon Valley. They represent exceptional execution with over 100 million in revenue.
Zipline bypassed regulatory hurdles in US airspace by proving its autonomous drone tech delivering critical medicine in Africa. In doing so, they dropped maternal mortality rates by up to 95% in key regions.
Chamath's CTO told him their token costs are doubling every 45 days while productivity gains top out at 5%. This isn't unique to one company — every enterprise will hit this wall within 3–4 years, and those that can IPO before the reckoning arrives should.
A year ago there were five major frontier labs. Now there are two making meaningful revenue: Anthropic at roughly $60B ARR and OpenAI at roughly $40B ARR. The gap isn't converging — it may be widening as smarter models attract more revenue, which buys more compute, which builds even smarter models.
Open source went from 19% of enterprise AI wallet share to just 11% in one year. The reason: most enterprises can't build the middleware routing needed to use cheap models for the right tasks. The spirit is willing but the technical flesh is weak.
After sitting on the UN AI Commission with Benioff and Jensen Huang, Chamath reports there is not a single country that doesn't have a sovereign AI strategy — and almost none of them want to depend on a closed-source American model. They'd rather take an open model like NVIDIA's and build their own soup-to-nuts stack, even if it's 5% worse.
Chamath's team calculated that based on expected load growth through 2050 — just from regular devices, cars, and buildings, not even aggressive AI inference — the US is short three entire Californias' worth of energy. The AI revolution's biggest bottleneck may not be chips or software. It's electrons.
Analysis
What they talk about
- Business 67%
- Technology 25%
- Government 8%
Connections
Shows they appear on and people they share episodes with. Drag to explore.
