The a16z Show

Investors should maintain core exposure to AI Compute & Semiconductor Infrastructure, as the heavy processing demands of 3D spatial modeling provide a sustained, multi-year tailwind for GPU manufacturers and data center providers.

Expand AI positioning beyond text models by allocating toward Spatial Intelligence & World Models, while monitoring legacy CAD and 3D modeling software providers that risk disruption from automated spatial generation.

Target investments in Robotics & Autonomous Systems, where generative simulation platforms are drastically reducing development costs and solving the sector's critical real-world training bottleneck.

Private market and venture capital investors should actively monitor World Labs, a category leader utilizing its new Atlas model to unify 3D generative AI with robotics pipelines.

Anticipate significant margin expansion across end-user industries like gaming, video production, and architectural design as breakthrough spatial tools reduce data capture needs by up to 100x.

Consider building a position in Affirm Holdings, Inc. (AFRM) to capture upside as it evolves from a high-moat Buy Now, Pay Later (BNPL) lender into a high-margin merchant advertising and demand-generation platform. Maintain core holdings in Visa Inc. (V) and Mastercard Inc. (MA) for steady compounding, as their entrenched network moats continue to capture the most profitable, high-frequency consumer transactions. Leverage Apple Inc. (AAPL) and Alphabet Inc. (GOOGL) for lower-risk fintech exposure, as their dominant digital wallets drive strong ecosystem lock-in without taking on consumer credit or default risk. Treat Bitcoin (BTC) strictly as a long-term digital store of value rather than a retail commerce play, given that checkout friction keeps everyday point-of-sale transactions tied to traditional payment rails. Direct emerging software allocations toward agentic payments and automated checkout infrastructure, where AI offers immediate enterprise value over speculative autonomous shopping bots.

Investors should consider building positions in Moderna (MRNA) following positive Phase 3 results for its personalized cancer vaccine Intismeran, which validates its broader mRNA oncology platform ahead of a targeted 2027 commercial launch.

Near-term catalysts to watch for MRNA include upcoming oncology conference presentations and pivotal late-stage study results for rare genetic liver diseases by the end of this year.

Merck & Co. (MRK) offers a compelling large-cap opportunity as the co-developer of Intismeran, which significantly enhances the long-term market leadership and efficacy of its flagship immunotherapy Keytruda.

Additionally, investors should keep Revolution Medicines (RVMD) on their watchlists as a targeted oncology play in KRAS-driven cancers that could benefit from future combination therapies with mRNA vaccines.

Rapid leadership turnover at the frontier indicates that pure model moats are fragile, meaning mega-cap tech giants like Alphabet Inc. (GOOGL) face immediate pressure from agile competitors like OpenAI and Anthropic. Because raw reasoning models still struggle with self-verification and output reliability, near-term investment upside is concentrated in human-in-the-loop enterprise AI applications rather than fully autonomous systems. Investors should prioritize the AI developer tooling and agent harness market, exemplified by platforms like Cursor, which capture critical enterprise value by wrapping raw models in structured error-checking frameworks. Looking ahead, the best risk-adjusted opportunities reside in workflow-integrated software that empowers non-technical professionals to automate complex, knowledge-based tasks.

Accumulate pullbacks in NVIDIA (NVDA), as its 70% to 80% supply chain dominance and institutional credit backing solidify its market moat heading into its 2027–2028 compute rollout.

Allocate capital directly into the physical AI enablement layer—specifically copper, power producers, and US natural gas infrastructure—to profit from an acute, structural data center capacity shortage that will persist through at least 2028.

Seek private market or venture trust exposure to SpaceX and xAI to capture accelerated sub-one-year compute payback periods and entry into a $2 trillion global telecommunications market.

Monitor and target dedicated cloud providers like CoreWeave and Nebius, which are achieving rapid 9- to 10-month asset payback periods by servicing unmet high-density compute demand.

Build a foundational position in Alphabet (GOOGL) to capitalize on its proprietary TPU hardware ecosystem, which serves as the premier alternative institutional compute platform and continues to generate strong operational cash flow.

While NVIDIA (NVDA) maintains its market dominance, investors can capitalize on immediate AI hardware shortages through critical memory suppliers like SK Hynix (000660.KS) and Samsung (005930.KS).

To diversify beyond standard semiconductors, target the AI Physical Infrastructure theme by seeking exposure to crucial data center bottlenecks such as advanced liquid cooling systems and high-voltage DC power conversion.

Consider international supply chain plays to benefit from massive sovereign AI infrastructure spending in proactive hubs like South Korea, Singapore, and the UAE.

Track early-stage hardware innovators like Unconventional and NextHop as venture capital shifts aggressively toward next-generation, AI-native silicon and high-performance networking architectures.

Finally, prepare for high-impact market entries by monitoring private secondary markets and anticipated IPO pipelines for frontier leaders OpenAI, Anthropic, and SpaceX.

Investors should increase allocations toward Cybersecurity (CYBER) and container security providers, as autonomous AI agent exploits make workload isolation and synthetic access verification mandatory enterprise infrastructure.

Strong secular tailwinds favor AI Governance and Oversight Infrastructure, creating an immediate opportunity to invest in third-party auditing platforms and runtime monitoring tools capable of preventing multi-agent collusion.

Near-term commercialization timelines may slow for frontier developers like Alphabet (GOOGL), OpenAI, and Anthropic as enterprise clients demand solutions for reward hacking and sandbox breakouts before deploying autonomous workflows.

Investors should closely track whether frontier AI labs implement durable Chain-of-Thought Interpretability architecture over temporary safety patches to identify which platforms will safely scale autonomous multi-agent systems first.

Maintain core exposure to NVIDIA (NVDA) alongside cloud hyperscalers Microsoft (MSFT), Alphabet (GOOGL), Meta (META), and Amazon (AMZN), with enterprise GPU orders booked out through 2028 and Big Tech infrastructure spending scaling to $1 trillion next year.

Expand semiconductor investments into high-bandwidth memory (HBM) and custom ASIC designers to capture high-margin growth amid a three-year memory supply backlog.

Buy power utilities, energy infrastructure, and electrical equipment makers supplying turbines and transformers to exploit a projected 19-gigawatt power shortfall by 2028.

Target advanced liquid cooling providers and physical data center developers required to support the massive heat and structural demands of high-density AI clusters.

Take strategic positions in copper to profit from acute commodity shortages driven by global high-voltage grid upgrades and electrical wiring needs.

The AI Developer Tooling & Software Engineering sector is rapidly shifting toward autonomous coding agents, creating significant growth opportunities for platforms with deeply integrated standalone workflows. Private startup Cursor proved the commercial power of this approach by scaling annual recurring revenue from $4 million to $50 million in late 2024 and penetrating over 50% of the Fortune 500. In public markets, investors should closely monitor Microsoft Corporation (MSFT) to see how effectively it defends its massive GitHub developer base by embedding autonomous agents directly into its core ecosystem. Meanwhile, foundation model leader Anthropic is introducing direct platform competition by launching end-to-end developer products like Claude Code. To capture upside in this evolving landscape, focus on developer platforms that successfully convert grassroots user adoption into high-margin enterprise software contracts.

Maintain a bullish position on AI compute infrastructure and semiconductor hosting providers to capitalize on sustained hardware shortages and rare pricing power across GPU generations. Prepare for a potential public offering later this year from Anthropic by tracking developer adoption in high-utility tools like Claude Code. Direct software investments toward specialized vertical AI applications that own proprietary industry workflows rather than generic AI aggregators. Stick with resilient enterprise SaaS providers that protect mission-critical business systems, while avoiding unprofitable software firms that mask weak cash flows with excessive stock-based compensation. Reduce exposure to legacy global system integrators (GSIs) and IT consultancies tied to platforms like SAP (SAP), as autonomous AI coding agents directly threaten their manual, billable service hours.

Maintain high-conviction exposure to NVIDIA (NVDA) as the primary beneficiary of surging AI compute demand, while avoiding legacy chipmakers like Intel (INTC) that risk losing market share.

Closely track return on invested capital for cloud hyperscalers Microsoft (MSFT), Alphabet (GOOGL), and Amazon (AMZN), as massive infrastructure spending and competition from AI startups threaten to pressure core software margins.

Target investments in Vertical SaaS providers that integrate generative AI into specialized, historically manual industries such as healthcare administration, legal services, and real estate.

Consider expanding allocations to Venture Capital and private equity funds to capture early-stage growth, as leading foundation model developers like OpenAI and Anthropic absorb billions in funding and stay private longer before launching public offerings.

Investors should target opportunities in Healthcare AI, focusing on software solutions that monetize high-friction administrative workflows such as ambient medical scribing, pathology triage, and prior authorizations. Within data infrastructure, allocate capital toward Real-World Data (RWD) and evaluation platforms like Protege, which hold high-moat proprietary clinical datasets that eliminate model contamination. Focus on continuous-monitoring AI Benchmarking Infrastructure providers that detect real-time data drift and operational errors directly inside enterprise workflows as foundation models become commoditized. Avoid investing in vertical AI vendors that rely solely on static academic test scores to prove efficacy, as real-world clinical accuracy often drops sharply without specialized, point-of-care verification.

Maintain long exposure to hardware infrastructure leader NVIDIA (NVDA), as aggressive capital spending will drive strong compute demand until industry supply constraints normalize around 2028.

Invest in API routing and developer middleware platforms, which operate as strategic tollbooths capturing transaction volume regardless of which specific AI model wins the market.

While frontier model leaders like OpenAI and Anthropic capture the vast majority of current revenues, prepare for market power and profit margins to shift downstream toward AI application software as model costs fall.

Prioritize software businesses that own proprietary user interfaces and developer workflows, as deep user integration creates a defensible moat and attracts premium acquisition interest from mega-caps like SpaceX and Stripe.

Investors should consider building a core position in Microsoft Corporation (MSFT) as it establishes early enterprise leadership by pairing autonomous AI agent adoption with robust security and identity frameworks.

Target investments in the Cybersecurity & AI Identity Management sector, specifically vendors specializing in machine identity protection, automated vulnerability remediation, and runtime application sandboxing.

Enterprise security budgets are shifting rapidly, creating strong upside potential for cybersecurity firms that actively enable safe AI agent deployment rather than just traditional threat prevention.

Within the Autonomous AI & Developer Tooling theme, look for exposure to companies integrating advanced foundation models like Anthropic Claude Opus to automate code generation and software debugging.

These automated developer workflows are achieving high diagnostic accuracy, creating a productivity boom that will expand profit margins for tech enterprises effectively governing AI-driven code deployment.

Consider building a position in Nu Holdings Ltd. (NU) to capitalize on the rapid growth of digital banking across underserved Latin American markets with significant room for customer expansion. Keep Salesforce, Inc. (CRM) on your radar as a core holding for enterprise AI adoption, as the software leader actively integrates cutting-edge automation workflows through early-stage startup partnerships. Seek investment exposure to cross-border B2B payments platforms that utilize stablecoins, which offer faster, lower-cost corporate settlement alternatives to legacy banking rails in emerging economies. Diversify your technology portfolio globally by following high-growth innovators like ElevenLabs and Jeeves that leverage cost-effective international engineering talent and strong local distribution networks.

Investors should position for long-term growth in the live commerce theme, an industry poised for massive Western expansion compared to its mature 30% to 40% market share in China. Keep private retail-tech leader Whatnot on your radar as a prime disruptor, given its $8 billion in annual sales and planned category expansions into automobiles and spirits over the next 12 to 36 months. Conversely, exercise caution with legacy marketplace eBay (EBAY), which faces ongoing market share headwinds as search-based shopping loses ground to video-driven, interactive discovery. Finally, maintain long-term conviction in foundational digital assets like Bitcoin (BTC), which continues to demonstrate powerful secular appreciation and real-world settlement utility since trading at the $10,000 level in 2020.

Investors should maintain exposure to AI hardware and semiconductor chipmakers, as rising GPU prices and expanding enterprise inference demand continue to benefit leaders supporting the NVIDIA H100.

Allocate capital toward next-generation endpoint security and AI governance providers, as legacy signature-based cybersecurity tools face rapid disruption from autonomous models.

This enterprise security upgrade represents an immediate growth catalyst, with roughly 50% of enterprise software applications projected to become agentic AI systems by the end of the year.

Look for opportunities in multi-model routing and open-source AI hosting infrastructure, which are benefiting as businesses actively diversify away from proprietary providers like OpenAI and Anthropic.

Finally, favor infrastructure platforms supporting flexible open-weight architectures such as Qwen and GLM-5-2, as enterprises prioritize customizable systems to overcome restrictive vendor guardrails.

Investors seeking late-stage private market growth should prioritize Stripe, which is capturing outsized revenue by serving as the core financial and billing infrastructure for high-growth AI companies.

Allocate capital toward Stablecoins and digital asset infrastructure, as fast, low-cost settlement rails rapidly take market share from legacy fiat banking in cross-border remittances.

Monitor the payment blockchain Tempo (TEMPO) as it drives automated machine-to-machine commerce through its standard payment protocol and enterprise adoption with partners like DoorDash (DASH).

Rotate software allocations toward Agent-Native Software and developer platforms utilizing consumption-based pricing, which are primed to monetize autonomous AI agents rather than traditional per-seat subscriptions.

Overweight fintech platforms with robust, automated fraud prevention systems that protect software companies from costly computational abuse and automated trial exploitation.

Investors should prepare for a major capital rotation into Industrial AI and Physical Automation, underscored by Andreessen Horowitz's historic funding of Travis Kalanick's new robotics enterprise, Atoms. The most compelling growth opportunities are emerging in end-to-end automation across food production, freight transport, and mining operations designed to drastically reduce physical supply chain costs. Investors holding legacy ride-hailing and gig-economy leaders like Uber Technologies, Inc. (UBER) and Lyft, Inc. (LYFT) should closely monitor competitive margin pressures as automated delivery models develop. Furthermore, traditional grocery retail and conventional resource extraction face long-term disruption from autonomous systems capable of undercutting raw commodity and labor costs. To capture this multi-trillion-dollar trend, seek long-term exposure to robotics hardware developers and industrial AI infrastructure providers driving physical-world automation.

Consider shorting legacy technology giants like Cisco Systems, Inc. (CSCO) and HP Inc. (HPQ), as agile cloud competitors continue to disrupt their traditional enterprise networking strongholds. Watch for pre-IPO opportunities or secondary market shares in high-growth AI startups utilizing the "lighthouse" strategy, such as legal tech disruptor Harvey and insurance AI provider Further, which are successfully securing major enterprise contracts. Look to invest in working-capital automation plays like Stute that offer immediate, quantitative ROI to mid-market customers through aggressive land-grab strategies. Target customer support AI innovators like Pylon as they systematically scale average contract values by replacing legacy workflows. When evaluating high-risk sector investments, prioritize companies with strict governance frameworks and top-tier client validation to ensure sustainable long-term growth.