a16z发布市场状态报告：AI投资与基础设施

a16z's David George, Sarah Wang, Alex Immerman, and Santiago Rodriguez on the State of Markets, from...

a16z's David George, Sarah Wang, Alex Immerman, and Santiago Rodriguez on the State of Markets, from AI and infrastructure to the next investment cycles: 1. Tech is the everything cycle. High-tech equipment, software, and R&D are now about 55% of US capital spending, and the AI buildout just passed the railroads as a share of GDP. The five largest hyperscalers will spend about $780B on capex this year, heading past $1T in 2027, and demand still outstrips supply at every point in the chain. 2. It's an earnings story. Stocks are up about 20% while multiples are down about 20%, and the S&P trades under 20x earnings. The market is up 90% since ChatGPT, on 15% earnings growth. 3. AI adoption is broad and shallow. 69% of the S&P 500 has a live AI deployment, 30% report a quantified result, and just 2% have AI doing a job they'd notice if it stopped. The power users are pulling away: the top 1% of AI spenders spend eight times the top 10%. 4. The private markets are enormous. Six private companies, Anthropic, OpenAI, Databricks, Stripe, Waymo, and Revolut, add up to about $2.4T by last round, more than every IPO of the past decade combined. "The founder is the asset class. The IPO is another financing event." Plus: why a data center can lower your electricity bill, what Amazon saying no to Muse and Instacart saying yes tells you about marketplaces, and the seven areas the team is most excited about next. 0:59 Charts from State of Markets II 2:59 Tech is the everything cycle 4:56 Is it a bubble? 6:31 Hyperscaler CapEx: $1T next year 12:12 CapEx is someone else's order book 14:36 Data centers can lower your bills 17:06 OpenAI and Anthropic vs. some of the best software companies ever 18:22 Enterprise AI: 69% adopted, 2% measured 20:32 The top 1% spend 8x the top 10% on AI 24:36 Spending on AI for growth or for savings? 28:46 Only 2% of households pay for AI 31:36 Amazon blocks Muse, Instacart welcomes 36:16 Software traded growth for profit 42:56 6 startups vs. a decade of IPOs 45:46 Why employees are turning down liquidity 48:44 Seven areas they're excited about YouTube: youtu.be/lr3hNhA0IfQ @DavidGeorge83 @aleximm @santiago__rdz @sarahdingwang Your browser does not support the video tag. 🔗 View on Twitter David George @DavidGeorge83 Introducing our State of Markets pt 2, along with a companion podcast where we unpack the data and discuss what comes next. Tech is the everything cycle. Supply: putting the buildout in context, just passed railroads as % of GDP. The wisdom of Elon is real: the factory (or the datacenter!) is the product. Demand: diffusion is so, so early. Median AI vendor spending in the top 1% of companies is 8x that of the top 10%. Only about 30% of S&P 500 companies report a quantified AI impact, which means there’s a substantial opportunity in connecting models to a company's data and workflows. Diffusion into companies is one of the main themes of the next 5 years. We’re entering the agent work period. Only a few million users today, but applicable to billions of internet users with massive surplus created. META/GOOG monetize US users at $200+ per year today. Agent opportunity is much higher. Mega-trends the next 5 years: Consumer agents, Robotics, Autonomy, AI x bio, Personal health, Diffusion into enterprise, New era of American Dynamism. Much more in our SoM report here - a16z.news/p/state-of-mar… @a16z @sarahdingwang @aleximm @santiago__rdz 🔗 View Quoted Tweet 💬 7 🔄 4 ❤️ 21 👀 4158 📊 7 ⚡