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Invest Like the Best

Everything in Capital Markets is Downstream of Algorithms

Jeremy Giffon joins us for his second conversation on Invest Like the Best. This episode is a window into one of those conversations about how power, status, capital, and attention are shifting in America.

Patrick O'Shaughnessyhost

Jul 7, 20261h 26mWatch on YouTube

Summaries, chapters, transcripts, and FAQs on this page are made by uListen, not YouTube.

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CHAPTERS

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Chapter summaries

Narratives as the real product in long-duration investing
The conversation opens with the idea that in private markets, storytelling can matter as much as performance because realized returns take years to prove out. The guest argues that capital often follows whoever best “sets the narrative,” even if the story isn’t perfectly right.
- •Private-market funds sell narrative during the long wait for realized cash returns
- •A compelling story can become a foundational viewpoint for an era of uncertainty
- •Capital can cluster around the most confidence-inspiring narrative
- •The guest frames this as a recurring cycle until a new narrative replaces the old one
Founder funding realities: old companies, inflections, and hostile bridge rounds
Patrick asks for lessons from the guest’s many founder conversations, especially amid volatility. The guest describes how “older” startups that suddenly start working can struggle to raise, and how founders end up boxed into painful financing or operational choices.
- •Companies that are years old but newly inflecting can be penalized because the story feels “late”
- •Changing the narrative can change market reception even if fundamentals are similar
- •Founders facing no up-round often confront bridge rounds, M&A/acqui-hire, or cutting to profitability
- •Insider bridge rounds can be surprisingly hostile and under-discussed in venture
Cap table optionality: designing for pivots in uncertain times
Pressed on what makes bridge terms hostile, the guest points to extractive structures and the optics of upside vs downside extraction. He then argues founders should preserve optionality by raising less and avoiding cap table constraints that prevent rapid strategy shifts.
- •Bridge structures can include liquidation preferences, warrants, ratchets, and other extractive terms
- •Upside-oriented extraction can be celebrated even when it’s similarly extractive as downside terms
- •In highly uncertain periods, founders should maximize nimbleness and avoid cap-table lock-in
- •Optionality can mean raising less and choosing investors with wider mandates
The “Billion Dollar PDF”: crystallizing the story that moves capital
Patrick introduces the guest’s “Billion Dollar PDF” idea. The guest explains how, in panicked and uncertain moments, someone can frame an era with a confident memo-like narrative that attracts massive capital and becomes a temporary anchor for consensus.
- •A timely, well-framed narrative can organize investor belief even if it isn’t fully correct
- •Confidence and clarity can matter more than precision in early narrative formation
- •The guest likens capital to kids following a soccer ball—money follows the dominant PDF
- •These narratives persist until replaced by the next compelling framing
Timeline-native institutions: the unifeed as a new source of truth
Patrick pivots to posting and the modern “timeline,” especially on X. The guest argues the unifeed is the key technology change: everyone is served the same stream, which increasingly shapes opinion, capital allocation, and even policy.
- •The unifeed creates a shared global feed that many people read even if few post
- •The guest describes X as a durable, high-importance “global newspaper”
- •Capital markets and policy can become reactive and reflexive to what the timeline amplifies
- •Institutions may need to be “timeline native” to survive in this environment
Algorithms and power laws: distribution shifts in media and attention
Patrick observes that performance dispersion has widened dramatically—breakouts dominate. The guest attributes this to algorithmic distribution replacing chronological feeds, creating a new first filter where platforms decide what gets shown at scale.
- •Algorithmic delivery can turn outcomes from normal-distribution-ish to power-law driven
- •Breakouts can feel like “breaching containment” and taking over attention briefly
- •Podcasts increasingly flow through algorithmic platforms and clips, not just RSS
- •Creators are increasingly producing for an algorithmic selector before reaching audiences
Books, “brain rot,” and the double-edged merits of new media
Patrick asks whether the algorithmic world feels dystopian. The guest pushes back on simplistic “death of books” narratives, arguing new formats can still nourish learning, though they are less forgiving for undisciplined consumption.
- •The guest doesn’t see a single clear crisis in reduced book reading, despite focus challenges
- •New media can provide substantial learning through interviews and other formats
- •Negative cultural language about being online signals people sense real downsides
- •He suggests disciplined people benefit more; undisciplined people may fare worse
Politics as content creation: posters as the new influential class
The discussion turns to politics and influence. The guest argues modern governance is increasingly optimized for the timeline, where a small number of influential posters can shape discourse, and political actors become content-optimized as a result.
- •The guest calls it the first “modern administration” in being timeline-reactive
- •He contrasts polling the median voter with attention to a smaller influential set on the timeline
- •A cited idea suggests many politicians increasingly want to be internet stars
- •“Good posters” become a new kind of policy-relevant elite group
“Peak guy”: billionaire worship fades and attention becomes the scarce asset
Patrick asks about “peak guy,” and the guest argues society has cycled through priestly classes—religious, scientific, billionaire—and that billionaire saturation has reduced marginal interest. He claims attention and influence now feel scarcer than wealth labels like “billionaire.”
- •The guest frames a search for new “priests” after declining religious centrality
- •He argues billionaires became a meaning-making class, but the category has inflated and saturated
- •Money is portrayed as less powerful than many assume, while attention is fixed and scarce
- •He suggests the posting class is rising as the next status/influence layer
Opting out of the timeline: entertainment, filtering, and ‘radiation’ exposure
Patrick asks about the guest’s period away from the timeline. The guest concludes most screen media is fundamentally entertainment, and the most ‘enlightened’ approach may be letting other people absorb the feed and hearing filtered takeaways in real life.
- •Media consumption is framed as entertainment-first, even when packaged as productive
- •Stepping away means you often don’t miss much if you’re still socially connected
- •He suggests secondhand filtering via friends can reduce direct exposure to the feed
- •The conversation questions whether “freedom vs impact” tradeoffs are real
AI and white-collar work: ‘fake’ jobs, automation, and stewarding gifts
Patrick shifts to AI-driven job displacement and what work means. The guest expects near-term volatility but argues automation is broadly good, many white-collar roles are socially constructed, and society will invent new pursuits; they then discuss vocation as stewarding one’s gifts.
- •He relays a view that college-aged kids may face more disruption than younger children
- •Anything that can be automated should be automated, in his view
- •Many white-collar jobs are described as indirect and not tied to necessities
- •Work-from-home is interpreted as evidence many roles don’t require 40 hours of real output
- •They discuss a moral/aesthetic aversion to wasting one’s gifts and aligning work with them
The next era of finance: from LBO DNA to seed-driven, optimistic cultures
Patrick asks what comes after the LBO-built giants of finance. The guest contrasts debt-driven, engineering-heavy origins with a potential future where the biggest firms are founded from seed investing—more qualitative, optimistic, and power-law oriented.
- •Founding acts shape long-term institutional culture, even as businesses evolve
- •LBO origins emphasize debt, downside, and engineering; seed emphasizes equity and upside
- •Equity finance is framed as newer and philosophically different from debt
- •He speculates on a shift from quantitative frameworks toward qualitative judgment
East Coast vs West Coast finance—and why compensation dynamics may be flipping
Patrick probes cultural differences between coasts. The guest acknowledges caricatures but argues venture has created more of the world’s biggest businesses, and observes a perceived flip where Wall Street looks more equity/RSU-driven while Silicon Valley becomes more liquid and cash-like via secondaries and tenders.
- •East Coast is described as more downside-oriented; West Coast as more optimistic but sometimes naive
- •Venture is framed as a small asset class that produced many major global businesses
- •Wall Street comp is described as increasingly RSU/firm-value oriented
- •Silicon Valley comp is described as increasingly liquid/mercenary via secondary liquidity
Algorithms pricing markets: sitting out, SaaS fear, CapEx sponges, and compute economics
Patrick asks how the guest is investing amid uncertainty. The guest says they’ve largely sat on the sidelines, argues markets lack nuance and are shaped by algorithm-selected narratives, and explains why high-CapEx AI and a shift from ‘selling strings’ to ‘selling compute’ changes software economics.
- •They’ve largely stayed on the sidelines because outcomes feel like a ‘jump ball’
- •He claims markets lack nuance and can price businesses irrationally relative to quality
- •Algorithmic feeds help select narratives that investors then price off—linking algorithms to markets
- •He frames AI/hardware as capital ‘sponges’ emerging when venture became capital-constrained
- •Software shifts from near-zero marginal cost to recurring compute costs, pressuring gross margins
- •He predicts thinner margins and greater reliance on scale in the future software model
Beating the market: why constraints make it harder for pros than amateurs
Patrick asks about the belief that it’s extraordinarily hard to beat the market. The guest argues Buffett’s advice is about the average person, and claims professionals face structural constraints—mandates, clients, and career risk—that can make it harder than for individuals making simple, conviction-driven bets.
- •Buffett’s S&P guidance is interpreted as advice for average people, not a claim no one can outperform
- •Empirical underperformance of pros is tied to fees and institutional constraints
- •Professionals must satisfy mandates and clients, making unconventional bets harder
- •Amateurs can sometimes outperform through simple product-and-stock alignment or concentrated views
Underwriting emerging managers: who the customer is and what’s misweighted
Patrick asks what an LP should look for, especially with smaller checks. The guest argues funds are businesses with different customer types, and suggests emerging managers can be attractive where incentives are tightly aligned; he emphasizes underweighting thesis/track record and overweighting personal context and psychology.
- •Small-check LPs are a different customer than sovereigns/endowments, and many funds aren’t built for them
- •Emerging managers can offer stronger alignment because future fundraising depends on performance
- •He argues people overweight thesis/track record and underweight personal facts and behavior patterns
- •A manager’s personal financial situation can shape risk-taking and decision psychology
- •He highlights the difference between ‘looking up’ vs ‘looking down’ at the size of a fund relative to net worth
Feudal finance via SPVs: allocations as ‘land grants’ and the fees around access
Patrick asks about a feudal-like system emerging around SPVs and elite private allocations. The guest describes “lords” who can grant access allocations that others monetize through fees, creating a relational, insider access economy that differs from traditional brokering.
- •Allocations in top private companies are portrayed as quasi-generational-wealth opportunities
- •Access can be monetized through fee structures even when the allocator lacks the capital initially
- •He contrasts this with one-time brokering because allocations can persist over time
- •He cites examples of extreme fee terms like large upfront fees, no GP commit, and no term limits
- •He notes the space also attracts fraud and bad behavior during bubbles
The new economics of attention and hiring: conversations, job posts, and selection filters
Patrick asks about productivity and then about hiring as leverage in a world where outlier talent matters more. The guest says conversations are his most generative input, is skeptical that chatbots are truly generative in practice, and explains how divisive, well-crafted job descriptions can self-select the right applicants.
- •Conversations and relationships are described as the most generative ‘media diet’
- •YouTube is called a vast archive, but less generative than conversations
- •He says chatbots can feel productive without translating into real actions
- •Job descriptions are treated as a sales pitch and as a tool to disqualify wrong-fit candidates
- •Divisive or ambiguous criteria can test confidence and attract self-aligned applicants
Silicon Valley’s hidden philosophy: underrated ideas shaping technology worldviews
Patrick closes by asking about the belief systems behind major tech movements. The guest argues philosophical and quasi-religious ideas in Silicon Valley are underpriced and under-documented, shaping what gets built and how builders justify their work compared to older finance cultures.
- •He argues some traits are priced efficiently (like resume markers) while worldview drivers often aren’t
- •Philosophical and cultural influences are described as percolating beneath Silicon Valley institutions
- •He claims the technology world can see itself as self-righteous and inherently philanthropic via products
- •He contrasts this with an ’80s Wall Street culture he characterizes as more openly money-driven
- •He calls for more documentation of the cultural, religious, and pseudo-religious forces at play

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