GameStop + eBay, Neural Computers | Nat Eliason, Michael York, Maddie Hall, Anjney Midha, Ben Lamm, Jake Stauch, Garth Sheldon-Coulson, Katie Haun, Nick Abouzeid
GameStop + eBay, Neural Computers | Nat Eliason, Michael York, Maddie Hall, Anjney Midha, Ben Lamm, Jake Stauch, Garth Sheldon-Coulson, Katie Haun, Nick Abouzeid
Podcast2 hr 41 min
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Note: AI-generated summary based on third-party content. Not financial advice. Read more.
Quick Insights

Investors should watch eBay (EBAY) closely as it is currently the target of a hostile takeover bid by GameStop (GME) at a proposed $125 per share, representing a significant 46% premium. While analysts express skepticism regarding GME's ability to bridge a $20 billion funding gap, a successful merger would leverage GME's 1,600 stores as physical verification hubs for high-value collectibles to combat AI-driven fraud. In the private sector, Anthropic remains a high-conviction play in the AI "protocol layer," outperforming larger labs in talent efficiency and model capabilities like Claude. For those looking to play the AI infrastructure boom, Living Carbon offers a unique opportunity by selling carbon credits to Microsoft and Google to offset the massive emissions from their data centers. Finally, keep an eye on AMP PBC, which is positioning itself as an independent system operator for the global "compute grid" to meet the near-infinite demand for AI processing power.

Detailed Analysis

GameStop (GME)

• GameStop has reportedly prepared an offer to acquire eBay for $125 per share in a deal valued at approximately $55 billion. • The proposal consists of 50% cash and 50% common stock. • CEO Ryan Cohen aims to transform the retailer into a $100 billion-plus company. • GameStop currently holds a 5% economic stake in eBay through derivatives and common stock. • Financial metrics discussed: • Revenue: $15 billion (down 5%). • Operating Income: $232 million. • Market Cap to Net Income: 34x. • Cash on hand: Approximately $9 billion.

Takeaways

Financing Skepticism: Analysts noted a significant funding gap (approx. $16–20 billion) between GameStop’s current assets/financing letters and the total purchase price. • Strategic Pivot: The "bull case" involves using GameStop’s 1,600 physical stores as verification centers for high-value collectibles sold on eBay to combat fraud in the era of AI-agent commerce. • Operational Efficiency: Potential for significant value creation by cutting eBay's high marketing spend ($2.4 billion annually) which currently yields low new-user growth.


eBay (EBAY)

• The company is the target of a hostile takeover bid by GameStop at a 46% premium over its February 2026 closing price. • Financial metrics discussed: • Revenue: $50 billion (growing at 8%). • Operating Income: $2.28 billion (10x that of GameStop). • Operating Margin: 20%. • The business has remained durable despite vertical competition in categories like sneakers, watches, and cars.

Takeaways

Undervalued Assets: Discussion suggested eBay is being priced by Wall Street as having high fixed costs, but an acquirer could potentially cut billions in "fat" (marketing) to service debt. • Defensibility: eBay’s collectibles business is seen as structurally defensible against Amazon because unique, rare items cannot be easily processed through standard automated warehouses.


Anthropic

• Mentioned as a major portfolio holding of AMP PBC. • Received a $300 million investment from AMP. • Highlighted as a "focused talent steam" that produces capabilities (like the Claude models) more efficiently than larger labs like Google DeepMind.

Takeaways

Compute Advantage: Anthropic is positioned as a primary beneficiary of the "scaling laws" and "bitter lesson" in AI, requiring massive compute resources to maintain its frontier status.


Investment Themes: AI Infrastructure & "Software 3.0"

The Neural Computer: A shift toward "vibe coding" where AI models generate unique UIs on the fly, potentially making many standalone SaaS apps obsolete. • Compute as a Utility: Discussion of AMP PBC, a public benefit corporation acting as an independent system operator for the "compute grid." • Fat Protocols in AI: A thesis that value is accruing to the base AI models (the "protocol layer") rather than the applications built on top of them.

Takeaways

Infrastructure Demand: There is "infinite demand" for compute, yet utilization of expensive NVIDIA hardware remains low (approx. 11% at xAI) due to software and architectural bottlenecks. • Physical Verification: As AI agents begin to handle commerce, physical "proof of stake" or verification (like physical stores for digital goods) becomes a high-value moat. • Energy Constraints: Energy is identified as the primary blocker to reaching Artificial General Intelligence (AGI).


Notable Mentions & Opportunities

Living Carbon: Recently secured a $500 million deal with Octopus to reforest 250,000 acres of degraded US land. They sell carbon credits to hyperscalers (Microsoft, Google, Meta) to offset AI data center emissions. • Casa: A subscription-based personal property management platform that recently raised a $20 million Series A led by 4Runner. It uses LIDAR and AI to digitize home maintenance. • Colossal Biosciences: A de-extinction company (Woolly Mammoth, Dodo) that has raised nearly $650 million. It is spinning out synthetic biology technologies for human healthcare and government biodiversity defense. • Panthalossa: A deep-tech company that raised $1.4 billion to build autonomous energy-harvesting "nodes" in the southern oceans to power off-grid data centers. • Rivet: An AI-enabled accounting firm that launched TaxBench, a benchmark showing that frontier models currently struggle with the reliability and multi-step reasoning required for professional tax work.

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Episode Description
(02:42) - Neural Computers (20:48) - GameStop Offers $55B for eBay (28:44) - Nat Eliason, an entrepreneur and writer, is the Head of Founder Development at Alpha School, where he is launching a high school program that promises students will earn $1 million by graduation or receive a full tuition refund. In the conversation, he discusses his journey from running an SEO-focused marketing agency to exploring personal knowledge management and AI, leading him to develop this innovative educational model that combines AI-driven academics with real-world entrepreneurial experience. (58:12) - Michael York, co-founder and CEO of Casa, discusses his journey from joining Uber at 18 to launching Casa, a subscription-based homeownership platform. He explains how Casa acts as a personal property manager, handling maintenance and services for homeowners by leveraging advanced technology to create detailed home profiles. York also highlights the company's recent $20 million Series A funding and plans for expansion beyond San Francisco and Los Angeles. (01:11:15) - Maddie Hall, CEO and co-founder of Living Carbon, discusses her company's mission to restore degraded U.S. lands by planting genetically enhanced trees that capture more carbon and produce sustainable forest products. She highlights a recent $500 million deal with Octopus Energy Generation to reforest up to 250,000 acres, aiming to remove 50 million tons of CO₂ over 40 years. Hall also emphasizes the importance of active intervention in reforestation projects and the potential for these efforts to offset emissions from data centers and AI operations. (01:18:43) - Anjney Midha is a General Partner at Andreessen Horowitz, focusing on AI, infrastructure, and open-source technology, with prior roles including VP of Platform Ecosystem at Discord and co-founder of Ubiquity6. In the conversation, he discusses the strategic rationale behind GameStop's acquisition of eBay, emphasizing the potential to eliminate $2 billion in marketing inefficiencies and leverage GameStop's physical stores for verifying collectibles, thereby creating a competitive edge in the AI-driven e-commerce landscape. (01:44:23) - Ben Lamm, a serial technology entrepreneur and co-founder of Colossal Biosciences, discusses the company's recent advancements in de-extinction efforts, including the successful creation of woolly mice and dire wolf puppies, demonstrating their ability to revive extinct species through genetic engineering. He highlights the role of AI in accelerating these processes and mentions the company's expansion into projects like the bluebuck, emphasizing their commitment to biodiversity restoration. Lamm also touches on potential partnerships with ecotourism and governments to reintroduce these species into natural habitats, aiming to blend conservation with education and economic opportunities. (01:54:43) - Jake Stauch, founder and CEO of Serval, an AI platform for employee support, discusses the company's new program, Serval Start, designed to deploy AI in large enterprises and train future founders. He emphasizes the importance of talented individuals who can build relationships, sell products, and develop solutions to effectively implement AI in complex organizational environments. The program aims to provide participants with hands-on experience in deploying AI, accelerating their career paths toward entrepreneurship. (02:01:35) - Garth Sheldon, representing Pampalasa, discusses the company's recent $140 million fundraising success and the development of autonomous energy-capturing nodes designed for deployment in the Southern Hemisphere's power-dense oceans. These nodes, each generating approximately 500 kilowatts, aim to provide scalable, renewable energy solutions for data centers, with plans to manufacture them near the deployment sites to optimize logistics and costs. (02:09:38) - Katie Haun, a former federal prosecutor and venture capitalist, is the founder and CEO of Haun Ventures, a firm specializing in digital assets and blockchain technology. In the conversation, she discusses the firm's recent $1 billion fundraise aimed at supporting founders building the "new economy," focusing on three structural shifts: new financial rails and infrastructure, new assets and markets, and the intersection of AI and crypto. Haun emphasizes the importance of stablecoins, the tokenization of financial products, and the potential of prediction markets, while also highlighting the need for platforms to address regulatory challenges such as insider trading and federal preemption. (02:25:18) - Nick Abouzeid is the co-founder and CEO of Rivet, an AI-enabled tax preparation firm that serves over 500 fast-growing companies. In the conversation, he discusses the challenges of implementing AI models in tax workflows, highlighting their unreliability and the necessity of human oversight to ensure accuracy. He also introduces TaxBench, a benchmark developed to evaluate AI models' performance in tax-related tasks, revealing significant capability gaps in current models. Follow TBPN:  https://TBPN.com https://x.com/tbpn https://open.spotify.com/show/2L6WMqY3GUPCGBD0dX6p00?si=674252d53acf4231 https://podcasts.apple.com/us/podcast/technology-brothers/id1772360235 https://www.youtube.com/@TBPNLive
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