With the world constantly generating more data, unlocking the full potential of AI means a constant need for faster and more resilient hardware. In this episode – the second in our three-part series – we explore the challenges for founders trying to build AI companies. We dive into the delta between supply and demand, whether to own or rent, where moats can be found, and even where open source comes into play. Look out for the rest of our series, where we dive into terminology and technology that is the backbone of the AI, how much the cost of compute truly costs!   Topics Covered: 00:00 – Supply and demand 02:44 –  Competition for AI hardware 04:32– Who gets access to the supply available 06:16– How to select which hardware to use 08:39– Cloud versus bringing infrastructure in house 12:43– What role does open source play?  15:47– Cheaper and decentralized compute 19:04– Rebuilding the stack 20:29– Upcoming episodes on cost of compute   Resources:  Find Guido on LinkedIn: https://www.linkedin.com/in/appenz/Find Guido on Twitter: https://twitter.com/appenz  Stay Updated:  Find a16z on Twitter: https://twitter.com/a16z Find a16z on LinkedIn: https://www.linkedin.com/company/a16z Subscribe on your favorite podcast app: https://a16z.simplecast.com/ Follow our host: https://twitter.com/stephsmithio Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures.

Despite the ease of product building, sustainable growth has become increasingly challenging as many traditional channels no longer deliver the same results. In these challenging times, we explore the remaining growth opportunities. How can we achieve a balance between efficiency, profitability, and growth? Which channels are still relevant and how can they be effectively mastered in 2023? Join us as we discuss these questions with three seasoned experts who have successfully navigated similar confusing times in the past: Gina Gotthilf, leading Latitud and renowned for her impressive tenure as the VP of Growth at Duolingo; Kieran Flanagan, a long-time SVP of Marketing at HubSpot; and Bryan Kim, Consumer Partner at a16z, who held various leadership roles during Snap's hypergrowth phase up to its IPO.   Topics Covered: 00:00 – What growth opportunities exist in 2023? 03:00 – What still works in growth? 05:02 – The fundamentals and framework of growth 07:02 – Assessing growth potential and product lead growth 09:33 – Distribution 11:15 – Your moat and growth 14:00 – Integrating AI for product lead growth 16:23 –Trust as a moat 17:23 – B2C growth - discovery and breaking through 18:51 – Can you get ahead of the incumbents? 22:03 – Examples of companies and products 24:59 – How do you foster a growth culture? 28:38 – Experimentation   34:20 – How companies using AI in distribution 44:43 – Growth challenge: What would you do with $10K?   Resources: Check out Latitud: https://go.latitud.com/Check out Zapier: https://zapier.com/Find Bryan on Twitter: https://twitter.com/kirbyman01Find Kieran on Twitter :https://twitter.com/searchbratFind Gina on Twitter: https://twitter.com/ginag  Stay Updated:  Find a16z on Twitter: https://twitter.com/a16z Find a16z on LinkedIn: https://www.linkedin.com/company/a16z Subscribe on your favorite podcast app: https://a16z.simplecast.com/ Follow our host: https://twitter.com/stephsmithio Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures.