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Pursuit of Joy, Fulfillment, and Purpose

Day: February 21, 2025

  • How BlackRock Manipulates Companies & Investors: A Tale of Bud Light’s Fall and Corporate America’s Crossroads

     Once the king of the American beer market, Bud Light lost $40 billion in market cap after one polarizing ad campaign—a collapse dissected in Joe Lonsdale’s American Optimist podcast episode, “Former Business Exec: How BlackRock Manipulates Companies & Investors” (uploaded February 20, 2025). Featuring Anson Frericks, a former Anheuser-Busch president, the 42-minute video (2,374 views as of now) unravels how BlackRock manipulation and its peers steer corporate America astray with ESG impact and DEI controversy. How did the Bud Light collapse happen? Why do these frameworks falter? And can businesses rediscover their business mission? Here’s the story—and the solution.

    TL;DR

    Bud Light’s $40 billion loss wasn’t just a marketing flop—it exposed BlackRock, State Street, and Vanguard’s grip on corporate America, pushing stakeholder theory over shareholder value. In Joe Lonsdale’s February 20, 2025, podcast “Former Business Exec: How BlackRock Manipulates Companies & Investors“, ex-Anheuser-Busch exec Anson Frericks reveals how these forces derailed Bud Light, why he co-founded Strive Asset Management with Vivek Ramaswamy to fight back, and how meritocracy could revive American business.

    Executive Summary

    In the latest American Optimist episode, “Former Business Exec: How BlackRock Manipulates Companies & Investors“, tech mogul Joe Lonsdale—co-founder of Palantir and 8VC—interviews Anson Frericks, a Yale and Harvard alum who led Anheuser-Busch’s U.S. operations until its cultural drift. Frericks ties the Anheuser-Busch decline to its 2008 InBev acquisition and a shift from St. Louis to New York, aligning it with ESG and DEI pressures from BlackRock’s $20 trillion empire. Contrasting Milton Friedman’s shareholder primacy with Europe’s World Economic Forum stakeholder theory, he details how these frameworks fueled Bud Light’s 2023 Dylan Mulvaney ad fiasco. Now, through Strive Asset Management and his book Last Call for Bud Light, Frericks charts a path back to customer-focused economic prosperity—watch the full discussion for his insider take.

    Key Takeaways

    • Bud Light’s Collapse: A $40 billion market cap loss followed its 2023 campaign, a misstep Frericks calls “the pin that popped the ESG bubble” (17:07 in the video).
    • BlackRock’s Power: With State Street and Vanguard, BlackRock leverages $20 trillion to enforce ESG via letters, votes, and media (13:50).
    • ESG & DEI Roots: Emerging from Europe’s World Economic Forum and post-2008 PR fixes, these became tools for political control (11:08).
    • Corporate Split: Goldman Sachs retreats from DEI quotas, while Costco doubles down, per Frericks (19:04).
    • Strive’s Solution: Frericks’ firm offers low-fee funds focused on merit and returns, not politics (28:10).

    The Questions This Answers—Explained Metaphorically

    1. How Did Bud Light Fall So Far?

    Metaphor: Picture a hearty oak uprooted from Midwest soil and replanted in a New York penthouse pot. Frericks explains in the video (1:59) that after InBev’s 2008 buyout, Bud Light’s move to NYC exposed it to ESG-DEI gusts. The Dylan Mulvaney ad was the storm that felled it—a king dethroned by losing its roots.

    2. Where Did ESG and DEI Come From?

    Metaphor: Envision a vine slithering from Europe’s World Economic Forum, watered by post-2008 remorse. At 11:08, Frericks traces ESG’s rise to the UN’s 2005 framework and banks’ image repair, with BlackRock pruning firms to fit stakeholder theory—a garden of control, not freedom.

    3. How Does BlackRock Manipulate Companies and Investors?

    Metaphor: BlackRock’s the puppeteer, its $20 trillion strings jerking corporate limbs. Frericks details at 13:50 how annual letters, media pressure, and shareholder votes (30:15) force ESG compliance—turning CEOs into marionettes dancing to a political tune.

    4. Why Did This Hurt Corporate America?

    Metaphor: It’s like chefs abandoning stoves to chase fads, starving their patrons. At 16:17, Frericks notes Bud Light, Disney, and Nike lost focus on customers, burning profits and trust in a futile bid to please stakeholders—a recipe for ruin.

    5. How Can We Fix It?

    Metaphor: Strive Asset Management’s a lighthouse, guiding ships from stormy activism to safe harbors of merit. Frericks shares at 28:10 how his firm with Vivek Ramaswamy rejects ESG mandates, steering firms back to their north star—serving customers and shareholders, not politics.

    The Rise and Fall of Bud Light: A Cautionary Tale

    Bud Light ruled as America’s working-class brew until InBev’s 2008 takeover uprooted it from St. Louis. In the podcast (1:59), Frericks recalls its shift to New York, where 3G Capital’s meritocracy faded under ESG-DEI pressures. By 2023, the Dylan Mulvaney ad—pitched as inclusive—tanked $40 billion and thousands of jobs. “$40 billion’s been erased since this happened,” Frericks laments (00:00 in the video), a wake-up call for brands straying from their base. His book, Last Call for Bud Light (linked in the video description), dives deeper into this ESG backlash.

    BlackRock’s Shadow: The Mechanics of Manipulation

    BlackRock, State Street, and Vanguard wield $20 trillion, owning 20-30% of S&P 500 firms. At 13:50, Frericks outlines their tactics: CEO letters demand “social licenses,” media amplifies ESG goals, and votes ram through proposals—30-40% passed by 2021 (30:15). California’s $280 billion pension fund, only 80% funded, bends to this, shunning oil while padding Texas gains. “They’re forcing behaviors,” Frericks warns (00:00:24), a top-down hijack of free markets and corporate governance.

    ESG and DEI: From Ideals to Ideology

    ESG and DEI sprouted from Europe’s stakeholder theory, gaining ground post-2008 (11:08). Initially a PR fix, they became profit engines—high-fee ESG indexes excluded “non-compliant” firms like Tesla (no unions). Frericks recounts at 21:44 how Bud Light nixed a Black Rifle Coffee deal over “controversy,” showing DEI’s exclusionary twist. “The left used business to get done what they couldn’t through government,” he says (14:47), fueling the DEI controversy.

    Corporate America’s Fork in the Road

    The video (19:04) highlights a divide: Goldman Sachs drops DEI quotas, Costco leans in. Frericks bets on retreaters outperforming, citing his bets against Business Roundtable signers. Yet, Bud Light’s leadership lingers despite losses—European heirs of 3G Capital cling to ESG, missing American pragmatism (24:59). Accountability’s scarce, but Wall Street reform is stirring.

    The Path Forward: Strive and Beyond

    Frericks left Anheuser-Busch in 2021, launching Strive Asset Management with Vivek Ramaswamy to counter the asset managers’ influence (28:10). Offering low-fee funds, Strive pushes firms to “be excellent at their mission”—oil firms drill, tech fosters speech. Its record ETF launch proves demand (33:04). Now with Athletic Capital, Frericks urges courage—challenge pronouns or quotas (37:13). Watch the full episode “Former Business Exec: How BlackRock Manipulates Companies & Investors” for his roadmap to reclaim corporate America and restore economic prosperity.

  • How to Build the Future: Aravind Srinivas on Revolutionizing Search with Perplexity

    TL;DR
    In an insightful interview with Y Combinator’s David Lieb on February 21, 2025, Aravind Srinivas, co-founder and CEO of Perplexity, shares his journey from AI researcher to building a $9 billion-valued company in under three years. He discusses his motivations, the evolution of Perplexity, and his vision to redefine search by prioritizing user experience over traditional ad-driven models, positioning it as a potential challenger to Google.

    Executive Summary
    Aravind Srinivas’s story is one of curiosity, persistence, and bold ambition. From his early days as a PhD student at Berkeley and internships at OpenAI and Google, he identified search as a domain ripe for disruption through AI. Founding Perplexity, Srinivas aimed to create a user-centric, intelligent alternative to conventional search engines. The interview reveals how Perplexity evolved from early Twitter-based demos to a scalable, general-purpose search tool, leveraging advancements in large language models (LLMs). Srinivas emphasizes a relentless focus on user needs, team culture, and a long-term vision to integrate end-to-end solutions—beyond just answers—into everyday life.

    Key Takeaways

    • Origins in AI: Srinivas’s exposure to unsupervised learning and generative AI during his OpenAI internship shaped his vision for a product-driven AI company.
    • Perplexity’s Evolution: Starting with niche demos, Perplexity pivoted to a broader, LLM-powered search engine after realizing the potential of simpler, scalable solutions.
    • User-First Philosophy: Inspired by Google’s Larry Page, Srinivas believes “the user is never wrong,” driving Perplexity’s design to anticipate and clarify user intent.
    • Competing with Giants: Perplexity’s edge lies in its obsession with user experience and product taste, unencumbered by Google’s ad-centric legacy.
    • Future Vision: Srinivas envisions Perplexity as an all-in-one platform, blending fast answers, task fulfillment, and monetization beyond subscriptions.


    In a captivating February 21, 2025, interview hosted by Y Combinator, Aravind Srinivas, co-founder and CEO of Perplexity, unveils the blueprint behind his $9 billion-valued startup. With a background in AI research from Berkeley, OpenAI, and Google, Srinivas is on a mission to transform search into a user-first experience. This SEO-optimized article explores his journey, Perplexity’s rise, and its bold vision to challenge giants like Google, answering key questions about his motivations and strategy through metaphorical lenses.

    From AI Roots to Entrepreneurial Ambition
    Question Answered: What inspired Aravind to start Perplexity?
    Metaphor: A gardener tending to a seedling, Srinivas nurtured his curiosity in AI research until it blossomed into a vision for a company that could grow as tall as the mightiest oaks (Google), fueled by the sunlight of innovation.

    Srinivas’s journey began in India, where his passion for deep learning led him to a PhD at Berkeley. An internship at OpenAI under Ilya Sutskever introduced him to unsupervised learning, planting the seed for a product-driven AI venture. At Google, reading In the Plex sparked his dream of building a company blending research and usability—enter Perplexity. His realization? Search and self-driving cars are rare domains where AI and product development create a flywheel, improving with every user interaction.

    The Birth and Evolution of Perplexity
    Question Answered: How did Perplexity find its potential?
    Metaphor: Like a sailor charting uncharted waters, Srinivas navigated through early demos (Twitter search) with a small crew, only to discover a trade wind—follow-up questions doubling engagement—that propelled Perplexity toward a new horizon.

    Perplexity’s early days were experimental. Srinivas and co-founder Dennis prototyped a Twitter search tool using OpenAI’s Codex, organizing data into tables for SQL queries. User engagement soared when follow-up questions doubled session times, signaling potential beyond niche applications. Pivoting to a general-purpose search engine, Perplexity embraced LLMs for unstructured data, betting on smarter models to outpace Google’s rigid indexing. This shift, sparked by a weekend prototype inspired by OpenAI’s Web GPT, marked its ascent.

    A User-Centric Approach to Search
    Question Answered: How does Perplexity differ from Google?
    Metaphor: Google is a bustling marketplace, hawking wares (ads) amid a sea of stalls (links), while Perplexity is a wise librarian, quietly fetching the exact book you need without pushing a sales pitch.

    Drawing from Larry Page’s mantra, “the user is never wrong,” Srinivas designed Perplexity to anticipate needs, not blame users for vague prompts. Unlike Google’s ad-cluttered results, Perplexity offers a clean, answer-focused experience—think healthy meal versus fast food. This philosophy drives its edge: obsession with user satisfaction and product finesse. Srinivas tracks queries per day, ensuring retention reflects genuine value, not forced interactions.

    Managing a Growing Team
    Question Answered: What’s the secret to managing a growing team?
    Metaphor: Srinivas conducts his orchestra with a steady baton, keeping the rhythm of queries per day in focus, ensuring every musician plays in harmony, not drowned out by the cacophony of bureaucracy.

    As Perplexity grows, Srinivas maintains a flat, data-driven culture. Weekly All Hands meetings spotlight queries per day, fostering transparency without constant scoreboard-watching. He engages directly with engineers on bugs, prioritizing product quality over hierarchy. Hiring focuses on passion for good work, mirroring his detail-obsessed DNA, though he acknowledges the challenge of scaling without slowing down.

    Competing with Google and Beyond
    Google’s ad-driven model and Microsoft’s consumer struggles leave room for Perplexity. Srinivas sees its advantage in agility and taste, unencumbered by legacy systems. While Google’s $200 billion search revenue looms large, Srinivas argues its stock-driven focus hinders bold pivots, giving Perplexity a shot at redefining monetization. He shrugs off early threats like Bing Chat, trusting in Perplexity’s user-first ethos to carve a niche.

    The Future of Search: Perplexity’s Vision
    Question Answered: What’s the future of search according to Srinivas?
    Metaphor: Imagine a trusty guide who not only points you to the mountain peak but hands you the gear to climb it—Perplexity aims to be that companion, merging answers with actions in a seamless journey.

    Srinivas envisions Perplexity as more than a search engine—an end-to-end solution. Whether recommending a sweater or booking a flight, it aims to deliver answers and actions. This requires orchestrating small models, knowledge graphs, and widgets—a daunting task, but one Srinivas believes can rival Google with a decade of perseverance. Unlike subscription-only models, he seeks sustainable monetization, balancing user trust with mass-market utility.

    Why Perplexity Could Win
    Unlike AI-centric firms like OpenAI, Perplexity blends model expertise with user obsession. Its DNA prioritizes product over benchmarks, positioning it to solve real-world problems—shopping, travel, quick facts—without drowning in ad revenue pressures. Srinivas bets on taste and persistence, not just tech, to outmaneuver competitors over the next decade.

    Wrap Up
    Aravind Srinivas’s story is a masterclass in building the future: start with curiosity, iterate with purpose, and obsess over users. Perplexity isn’t just challenging Google—it’s reimagining how we interact with information. As Srinivas steers this ship, the search landscape may never be the same.

  • Keith Rabois on How to Operate: A Deep Dive into Startup Success

    TL;DR: In a recent interview on the Alex LaBossiere podcast, Keith Rabois—a titan of startup investing and operations—shared his hard-earned wisdom on building exceptional companies. Despite the video’s horrendous audio quality, the content shines through as a treasure trove of insights. Rabois, a Managing Partner at Khosla Ventures and CEO of OpenStore, draws from his storied career (PayPal, LinkedIn, Square, and early investments in Airbnb, DoorDash, and Stripe) to discuss founder scarcity, vertical integration, talent acquisition, raising capital, and operational rigor. Key ideas include the rarity of world-class founders, the power of vertically integrated solutions, the critical need to identify “barrels” (force-multiplying individuals), and a shift from measuring outputs to inputs for long-term success.

    Detailed Summary

    The Bottleneck to Innovation: Great Founders Are Scarce (1:56)

    Rabois kicks off with a stark reality: the bottleneck to creating more exceptional startups isn’t capital—it’s founders. He likens world-class founders to Major League Baseball pitchers who can throw a 90-mph fastball: only a tiny fraction of people (5-15 per year) possess the “superpower” to bend an industry to their will. This scarcity drives the frenzy among VCs and angel investors chasing the same few visionaries. For Rabois, you either have this innate potential or you don’t—training can amplify it, but it can’t create it from scratch.

    Vertical Integration: The Path to Trillion-Dollar Businesses (4:35)

    Rabois doubles down on his pinned tweet philosophy: target large, fragmented industries with low Net Promoter Scores (NPS) and deliver a vertically integrated solution. Companies like Apple (smartphones) and Tesla exemplify this—by controlling hardware, software, and chips, they create moats competitors can’t breach for decades. Vertical integration demands more capital and talent, but the payoff is a near-unassailable market position.

    The Hollywood Model: Startups Are Invented, Not Discovered (6:24)

    Rejecting the Silicon Valley trope of “talk to users and iterate,” Rabois advocates a “Hollywood model” where startups are forged through vision and willpower. Like producing a movie, you start with a script (your idea), cast the right co-founders to tackle key risks, and execute relentlessly. This contrasts with throwing ideas at the wall—Rabois believes startups succeed by design, not serendipity.

    “Why Now?”: Timing the Wave (7:41)

    The “Why now?” isn’t about being first, but riding an enabling technological or societal shift. Amazon capitalized on the web’s infancy, while Google thrived as the 11th search engine by leveraging a maturing internet. Rabois cites Nvidia’s pivot to AI chips as a masterstroke of spotting a wave others missed—founders must find cracks in inertia to gain momentum without brute force.

    Multi-Product Companies: Opportunistic Growth (9:50)

    Should you plan to be multi-product from Day 1? Rabois says no—it’s usually opportunistic. Start with one killer product, achieve product-market fit, then expand organically as customers demand adjacent solutions. Forcing multiple products to boost economics (e.g., in SaaS) is less compelling than responding to real synergies.

    Iteration vs. Pivots: Stay Grounded (10:58)

    Rabois estimates 70-90% of successful startups he’s backed stuck to their initial risks and ideas by the seed stage. Pivots work, but only if one foot stays planted—like PayPal shifting from Palm Pilot payments to email-based transactions, leveraging its core email identifier concept.

    Picking Co-Founders: Complementary Superpowers (12:52)

    Co-founders must complement your strengths and align on first principles (e.g., remote vs. in-office). Rabois values partners who sharpen his thinking—someone who, over coffee, asks questions that reframe problems. Misalignment on fundamentals can fracture a startup’s DNA once it solidifies.

    Talent: The Moneyball Strategy (14:51)

    Startups can’t outbid Google for obvious talent, so Rabois hunts for “mispriced” individuals—young prodigies with few data points, disruptive personalities big companies reject, or those with unique histories he’s witnessed firsthand. This arbitrage is a startup’s edge.

    Attracting and Assessing Talent (17:20 – 24:02)

    To attract talent, Rabois suggests a compelling mission (e.g., Palantir’s democracy defense) or differentiated cultural values. Assessing strangers is tough—he relies on sharp questions to gauge potential quickly, but admits prior context (e.g., knowing DoorDash’s Tony Xu) gives him an unfair advantage. References? Crucial but tricky—ask the right questions (e.g., “Can they be a world-class founder?” not “Are they a good employee?”).

    Closing Hires: Matchmaking, Not Selling (25:56)

    Rabois closes hires by aligning roles with candidates’ goals, highlighting challenges they’ll conquer, and addressing blockers (a trick from Jack Dorsey). It’s less about hard-selling and more about ensuring fit—anti-selling, as Mike Maples Jr. does at Floodgate, filters out mismatches.

    Thinking Ahead: The 6-Month Edge (28:28)

    Great leaders think 3-6 months ahead, anticipating problems and prepping solutions. Rabois recalls engineers who scaled systems for traffic spikes—those who react “just in time” miss opportunities requiring lead time.

    Hiring Longevity and Talent Monopolies (31:36 – 33:28)

    Rabois interviewed candidates at Square until 500 employees; DoorDash’s Tony Xu went to 2,000. It’s about setting a high bar early. Creating a talent monopoly (e.g., SpaceX for aerospace, OpenAI for AI) is ideal—if not, vertical execution (like Ramp’s engineering intern pipeline) can draw the best.

    Raising Capital: Aim for Lift, Not Runway (35:44)

    Fundraising isn’t about extending runway—it’s about hitting milestones that prove “lift.” Define inflection points (e.g., growth rate, tech breakthrough), calculate the capital needed, and pitch investors on that trajectory. Too much cash can bloat spending without focus.

    Screening Investors and Building Boards (37:40 – 41:21)

    Rabois urges founders to reference-check investors—70% add little value. Look for those who stay out of the way or offer rare expertise. Boards, per Jack Dorsey’s Square playbook, should be visionaries you’d hire but can’t, spotting blind spots to avoid fatal errors.

    Operating: Triage, Edit, and Empower (44:11 – 59:21)

    • Triaging Problems: Startups are chaotic—Rabois likens it to an ER. Focus on high-leverage issues with 10x upside or downside, letting minor colds resolve themselves.
    • Editing, Not Writing: CEOs edit initiatives for a consistent voice (like The Economist), ensuring alignment across products and teams.
    • Transparency: Share data (dashboards, board decks) so everyone decides with the same context.
    • Barrels: Rare individuals who turn concepts into reality—expand their scope to find them (2-3 per 100 employees is healthy).
    • Task-Relevant Maturity: Sample work based on experience—daily for novices, quarterly for veterans.
    • Delegation: High-conviction, high-consequence decisions stay with the CEO; low-conviction, high-consequence ones need data hunts or 70% certainty for speed.

    Measuring Inputs Over Outputs (59:21)

    Rabois flipped from output-obsessed to input-focused. Outputs discourage risk-taking (e.g., 10% success odds); inputs—like quality of thinking—reward tackling hard problems. Jeff Bezos and coach Bill Walsh echo this: perfect the process, and results follow.

    Underrated Metrics: CAC Payback Rules (1:02:58)

    Rabois obsesses over Customer Acquisition Cost (CAC) to payback ratio—it reveals value proposition strength and capital efficiency. Sub-6 months is thrilling, over 12 months is a red flag. It’s physics applied to business: minimizing friction drives growth.

    Closing Thoughts: Sleep and Challenge (1:05:22)

    What should people ponder? Sleep—for health and success—and challenging yourself. Quoting Ben Franklin, Rabois urges us to “write something worth reading or do something worth writing about.”

    Final Note

    Despite the video’s abysmal audio—think muffled voices and static—this interview is a goldmine for startup enthusiasts. Rabois distills decades of experience into actionable frameworks, blending philosophy with practicality. Plug in some headphones, crank the volume, and absorb the wisdom—it’s worth the effort.