Melissa Wasser

Apr 30, 2024 | a16z.com | David Haber |Melissa Wasser |JJ Yu |Marc Andrusko

ABOUT IN THE VAULT “In the Vault” is a new audio podcast series by the a16z Fintech team, where we sit down with the most influential figures in financial services to explore key trends impacting the industry and the pressing innovations that will shape our future. Follow this show on our podcast feed so you don't miss an episode.

Apr 30, 2024 | a16z.com | David Haber |Melissa Wasser |JJ Yu |Marc Andrusko

ABOUT IN THE VAULT “In the Vault” is a new audio podcast series by the a16z Fintech team, where we sit down with the most influential figures in financial services to explore key trends impacting the industry and the pressing innovations that will shape our future. Follow this show on our podcast feed so you don't miss an episode.

Dec 4, 2023 | a16z.com | David George |David Haber |Melissa Wasser |Sarah Wang

Capital allocation is a core part of any CEO’s job, and it’s particularly critical for growth-stage CEOs. After all, once your company goes public, you’ll be expected to justify every dollar you spend. Most growth-stage CEOs I work with know how to tell if they’re efficiently allocating capital in every part of their budget with one glaring exception: research and development (R&D).

Oct 25, 2023 | a16z.com | Sarah Wang |Martin Casado |David Haber |Melissa Wasser

There is no doubt that the cloud is one of the most significant platform shifts in the history of computing. Not only has cloud already impacted hundreds of billions of dollars of IT spend, it’s still in early innings and growing rapidly on a base of over $ of annual public cloud spend. This shift is driven by an incredibly powerful value proposition—infrastructure available immediately, at exactly the scale needed by the business—driving efficiencies both in operations and economics.

Oct 13, 2023 | a16z.com | Sarah Wang |Martin Casado |David Haber |Melissa Wasser

If one thing is certain about generative AI, it’s that no one knows exactly how it will play out from a product or user experience perspective. Which interfaces will win out? Which tasks will be augmented by large language models (LLMs), and which ones will be completely upended by them? How will creative AI models change our expectations of what we can do with computers? We’re at a moment not unlike the advent of the web or the smartphone.