[BidClub_]
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The a16z ShowEN · 49 min

How Salesforce Chooses the AI Companies It Wants to Buy

John SomorjaiAlex Immerman

Salesforce pairs scarce AI capabilities with 15,000 sales reps, though six-to-nine-month integrations keep build-versus-buy speed in question.Fin’s 14-day internal deployment, over-40% share of help.salesforce.com traffic and 65% human-free resolution illustrate outcome pricing as customers may need fewer seats.Somorjai says security can veto deals, while valuations above $10 billion leave few buyers and the timing of a reckoning remains unknown.

Hard ForkEN · 68 min

Why the Tech Right Lost Big This Week

Kevin RooseCasey NewtonErin GriffithEzra KleinTheodore Schleifer

AI backlash is challenging the industry’s permission to build: 76% opposed a local data center, and 57% expected AI to hurt society.Texas restrictions could endanger 10–15 gigawatts of roughly 45 gigawatts expected online next year, tightening compute supply and lifting prices.That risks slowing the AI trade, though Klein argues slower construction may curb overbuilding and push labs toward economically useful deployment.

Sharp TechEN · 102 min

The U.S. Votes on Data Centers, Big Tech Impact, Google’s AI Response | Sharp Tech with Ben Thompson

Andrew SharpBen Thompson

Texas’s data-center backstop is uncertain: 43 of 44 opposition measures failed, but the incoming governor campaigned on a moratorium, raising concern for 2029 onward.Power and permitting constraints favor cash-rich hyperscalers; a forced capex pause could ease funding pressure and boost Nvidia’s tokens-per-watt edge.Google’s search miss may reflect monetization lag as AI shifts attention, though returns from its infrastructure pivot remain uncertain.

Invest Like the BestEN · 46 min

Ramtin Naimi on the State of Venture Investing - [Invest Like the Best, EP.499]

Ramtin NaimiPatrick O'Shaughnessy

Naimi rates venture’s opportunity set 10/10 and froth 6.5–7/10, citing faster adoption despite familiar financing excesses.AI’s 10–20× growth can mask concentrated, usage-based or low-margin revenue; vertical-AI valuations still hinge on labor replacement he has not seen.Meanwhile, mega-funds are deploying three times faster than expected, delaying funding as compute builders may need debt exceeding 5–10× equity.

168XZH · 77 min

168X 对话 投资 Talk 君:中期选举之后 AI 怎么定价? #2

德州审批争议可能让新项目空窗三至四个月,已批项目仍可施工至2028年前一至两个季度。延误或将部分资本开支从2027年推至2028年,GPU交付先受影响,其他环节取决于配置、定价与AI需求。止跌时点未知,政策信号或成催化;融资受压并削弱AI需求则可能冲击基本面。

晚点聊 LateTalkZH · 60 min

185: Anthropic招股书丨与Amont李肇宇聊定价逻辑和潜在风险

Rob Li(李肇宇)程曼祺

李肇宇称,十月ARR须重新支撑1.5万亿美元估值;三季度收入168亿美元,环比增速降至45%。900% NRR基数未披露;约37%云分成换来客户与算力。程曼祺估计,超6000亿美元算力合同逾3000亿美元承诺刚性,客户收入无同等长期保障。

晚点聊 LateTalkZH · 73 min

186: Anthropic招股书丨“银行也有百亿预算”,与Fusion Fund张璐聊大企业在想什么

张璐程曼祺

张璐凭记忆称,Anthropic 年消费超10万美元的客户约1.1万至1.2万家,其中约2000家超过100万美元;程曼祺补充,招股书披露净收入留存率为900%。工作流嵌入才决定长期留存;张璐倾向约1.5万亿美元的 IPO 讨论区间,但最终取决于路演与认购,利润率、现金流及训练和算力投入将检验增长质量。

20VCEN · 69 min

20VC: OpenAI cut to $1.25T; Google rout; DoorDash buys Instacart

Harry Stebbings

OpenAI’s proposed round shrank from $30 billion to $20 billion, with about $11 billion committed, as Rory compares its $1.25 trillion valuation with potentially public Anthropic at $1.5–$2 trillion.DoorDash’s reported $17 billion Instacart deal could combine cited 60% and 20% delivery shares, subject to antitrust clearance, while agents’ direct-order potential threatens platform take rates despite negligible volumes today.

Delphi DigitalEN · 74 min

Why India’s Next Tech Giants Are Hiding in Plain Sight | Paavan Gami

José Maria MacedoPaavan Gami

India’s early IPOs can expose public investors to venture-style compounding: Gami cites a roughly $350 million median valuation, 70% founder-family ownership, and category leaders listing at $600 million–$1 billion.His thesis hinges on compliance-driven consolidation, with 5–6% leaders potentially reaching 30–40%; Eternal and Meesho show contrasting routes through rapid delivery and low-price logistics, making market-share gains central to the opportunity.

Invest Like the BestEN · 65 min

What Happens When the AI Boom Slows Down

Patrick O'ShaughnessyMartin Casado

Frontier models captured 80%+ of dollar-weighted demand over three years, yet Casado estimates an individual model’s commercial lifespan at just three to six months.Startups may still pay 10 times more for the smartest model, sustaining pricing power even as coding workflows saturate.If demand saturates, value could shift to open source, a transition Casado says “nobody knows” how it would unfold.