Scaling Shopify: Tobias Lütke and Ben Horowitz on Building a Global Giant

As 2025 begins, industries are evolving at unprecedented speed: robots are revolutionizing manufacturing, terabytes of earth observation data are driving new possibilities, and gaming technology is transforming how we design, train, and innovate across sectors. In this episode, a16z General Partner Erin Price-Wright, Engineering Fellow Millen Anand, and Partner Troy Kirwin discuss the trends reshaping the future of hardware, software, and beyond.

Did you know the U.S. nurse labor market is over $600 billion annually, but the dedicated software market for nurses is almost zero? In this episode General Partners Alex Rampell, David Haber, and Angela Strange discuss how AI is revolutionizing labor by automating tasks traditionally done by humans. They’ll trace the evolution of cloud eras — from the original to financial services-enabled to the current AI-enabled outcomes era — showcasing how AI is creating unprecedented opportunities, allowing startups to outpace incumbents. They also explore how this shift will reshape industries, where we are in the adoption curve and what companies need to succeed, and the gaps where the a16z Enterprise team would love to see more innovation.

Over half of Americans live in childcare deserts, while 90% of brain development happens before the age of five. All the while, education and childcare remain among the most resistant sectors to technological change. Billions of dollars have been spent, but outcomes continue to lag. Why? In this episode, we dive into the systemic issues—misaligned incentives, political resistance, and the lack of a shared vision around the purchase of an education. We also explore how technology and entrepreneurial innovation may be shifting the tide. You’ll hear from Anurupa Ganguly (Prisms), Chris Bennett (Wonderschool), Anna Edwards (Whiteboard Advisors), and a16z General Partner Jeff Jordan discuss the criticality of early childhood education, how public-private partnerships are required for scale, and how we can engage risk-averse decision-makers. Listen to learn how the next generation can reclaim the American dream.

This episode was originally published on our sister podcast, web3 with a16z. If you’re excited about the next generation of the internet, check out the show: https://link.chtbl.com/hrr_h-XC We've heard a lot about the premise and the promise of prediction markets for a long time, but they finally hit the main stage with the most recent election. So what worked (and didn't) this time? Are they really better than pollsters, is polling dead? So in this conversation, we tease apart the hype from the reality of prediction markets, from the recent election to market foundations... going more deeply into the how, why, and where these markets work. We also discuss the design challenges and opportunities (including implications for builders throughout). And we also cover other information aggregation mechanisms -- from peer prediction to others -- given that prediction markets are part of a broader category of information-elicitation and information-aggregation mechanisms. Where do domain experts, superforecasters, pollsters, and journalists come in (and out)? Where do (and don't) blockchain and crypto technologies come in -- and what specific features (decentralization, transparency, real-time, open source, etc.) matter most, and in what contexts? Finally, we discuss applications for prediction and decision markets -- things we could do right away to in the near-future to sci-fi -- touching on trends like futarchy, AI entering the market, DeSci, and more. Our special expert guests are Alex Taborrok, professor of economics at George Mason University and Chair in Economics at the Mercatus Center; and Scott Duke Kominers, research partner at a16z crypto, and professor at Harvard Business School -- both in conversation with Sonal Chokshi. As a reminder: None of the following should be taken as business, investment, legal, or tax advice; please see a16z.com/disclosures for more important information.

Sales is evolving. AI-native systems are replacing traditional CRM tools, capturing unstructured insights from emails, Slack, surveys, and more in real time. These systems automate early-stage tasks like prospecting and qualification, enabling sales teams to focus on high-value work—while AI provides live coaching and drives decisions across sales, marketing, and product teams. In this episode, a16z partners Joe Schmidt and Marc Andrusko explore the evolution of sales tools and strategies, sharing their insights on what’s driving this shift. Is this the “Death of a Salesforce”? Perhaps that’s an overstatement. But one thing is clear: the future belongs to those who leverage data and AI to drive decisions—not just activities.