High-performance compute is the bedrock of generative AI, and if there’s anyone who knows about high-performance chips, it’s AMD CEO Lisa Su. In this wide-ranging conversation with a16z Operating Partner Bob Swan—himself formerly CEO of Intel—Lisa lays out her vision for the evolution of compute within the AI ecosystem, touching not only on raw power and the continuation of Moore’s Law, but also how AMD will support “the right compute for each form factor” for a wider ranges of real-world gen AI use cases. Lisa also shares her perspective on the state of chip manufacturing, how AMD matches their R&D cycles to fast-moving industries, and how partnerships build strong ecosystems.

Read more, including a full transcript, here: https://a16z.com/how-to-build-ai-ecos...

Time stamps:

[00:01:37] Lisa's career in compute
[00:04:48] Compute in the genAI era
[00:09:39] High performance or multimodal?
[00:10:47] Making the genAI ecosystem open
[00:14:16] The chip supply chain
[00:17:53] Resiliency and the CHIPS Act
[00:20:54] How AMD balances long development cycles with short term innovation
[00:24:48] Learnings from the hyperscaler market
[00:26:54] What being fabless means for AMD
[00:31:24] Lisa's advice for startup founders

Find more content from our AI Revolution series on www.a16z.com/AIRevolution.

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.

Finding and backing companies that can reach escape velocity is the name of the game over here at a16z Growth—but picking those winners is far from easy. David George, head of the a16z Growth fund, sat down with the I/O podcast to discuss his mental models for growth-stage investing, what it really takes to go public, where AI is today and where it’s headed, and more.

[00:03:19] What makes Andreessen Horowitz different

[00:08:29] David's mental model for investing

[00:18:23] Focusing on inputs, not outputs

[00:26:52] What constitutes a growth company?

[00:29:14] David's three investing frameworks

[00:36:45] How to measure the ROI of R&D

[00:42:15] What it takes to go public today

[00:46:43] AI: market structure and infrastructure vs. application layers

To read a transcript of this conversation, click here.

In this conversation with a16z general partner David George, Scale AI founder and CEO Alexandr Wang discusses the three pillars of AI—models, compute, and data—and how creating abundant data is core to the evolution of gen AI. With Scale’s work across enterprise, automotive, and the public sector, Alex is also building the critical infrastructure that will allow any organization to use their proprietary data to build bespoke gen AI applications. In addition to talking about frontier data, Alex also shares his learnings from the growth of Scale, his approach to leadership, and what he thinks growth-stage founder/CEOs tend to get wrong about hiring.

Read more, including a full transcript, here: https://a16z.com/frontier-data-foundries-alex-wang-scale-ai/

Timestamps:

[00:00:58] How frontier data will change gen AI

[00:08:47] Are big tech companies over-investing in AI?

[00:14:39] Where the best AI businesses will thrive

[00:17:05] How enterprise businesses are approaching AI adoption

[00:19:50] What does the next phase of gen AI products look like?

[00:23:23] Alex's approach to scaling Scale

[00:25:36] The founder fallacy

[00:30:12] MEI and how Alex views talent acquisition

a16z general partner David Haber talks to John Stecher, Chief Technology Officer at Blackstone, where he advances cutting-edge technology, heads up innovation investing, and advises the firm’s investment teams and portfolio companies. The conversation covers how he decides whether to build tech in-house or partner with startups, what qualities he’s looking for in early stage companies, and how he sees AI impacting real estate, credit, energy, and ecommerce.

0:00-1:05 Intro

1:06-3:55 Changes in finance x tech over the past 2 decades

3:56-5:06 Investing in "themes" across asset classes

5:07-7:00 What the CTO role entails

7:01-9:00 "Build it" vs. "buy it": trade-offs

9:01-11:57 Advice for early stage companies

11:58-16:37 Ways Blackstone is incorporating generative AI

16:38-17:46 How AI changes the role of an analyst

17:47-21:04 Gen AI's impact on private equity, real estate, credit, more

21:05-22:54 How Blackstone will evolve over the next five years

22:55-23:26 Outro

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.

a16z general partner David Haber and fintech partner Marc Andrusko talk to Tim Karpoff, the Global Head of Strategy at Citi, where he guides the bank’s core focus areas, as well as future investment in emerging tech like AI. The conversation covers the shifting landscape of banking policy and regulation, the increasingly important role startups are playing in partnership with big banks, and where Tim disagrees with the zeitgeist when it comes to the adoption of AI in financial services.

0:00-1:05 Intro

1:06-2:28 Navigating bureaucracy

2:29-4:26 What "chief strategy officer" entails

4:27-8:18 Citi's role in the banking ecosystem

8:19-9:16 Fallout from the 2023 banking crisis

9:17-13:10 Citi's revised risk controls and tech investment

13:11-14:59 How Citi works with startups

15:00-20:00 Citi's future: AI and regulation

20:01-23:33 What people get wrong when it comes to AI

23:33-24:12 Outro

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.

Waymo co-CEO Dmitri Dolgov joined a16z general partner David George to discuss how Waymo is using genAI to help them build safer, sustainable, and more accessible transportation. In the conversation, Dmitri talks about the potential of embodied AI, the value of simulations and building training data, and his approach to leading a company focused on solving the challenges of building AI that can navigate the real world.

• [00:01:22] The early days of autonomous vehicles
• [00:05:27] Layering genAI into traditional AI/ML
• [00:09:42] The value of simulation
• [00:15:56] The hard part about integrating AI in autonomous systems
• [00:22:45] AI in the real world
• [00:28:47] Where does Waymo go from here?
• [00:37:21] Dmitri's learnings from hard problems

This conversation is part of our AI Revolution series, which features some of the most impactful builders in the field of AI discussing and debating where we are, where we’re going, and the big open questions in AI. Find more content from our AI Revolution series on www.a16z.com/AIRevolution.

As genAI expands through the enterprise, many leaders are figuring out how to evolve their genAI prototypes into production-ready tools. Pinecone CEO Edo Liberty and LangChain CEO Harrison Chase discuss which parts of the stack to build or buy, how to improve out-of-the-box models by helping customers select and ingest the right data, and picking the right partners to scale genAI applications with a16z Growth General Partner Sarah Wang.

• [00:02:16] Navigating the gap from prototype to production
• [00:07:03] How to educate partners on genAI tools and capabilities
• [00:11:38] Deciding whether to build or buy
• [00:17:36] Successful implementations of genAI
• [00:21:20] Balancing enterprise and open-source community needs
• [00:23:06] Balancing short-term revenue gains with long-term vision
• [00:25:18] Picking the right partners to scale

For a transcript of this episode of a16z Live!, click here.

In this episode, which took place at a16z's Connect Fintech event, a16z General Partner David George interviews Capital Group's Mark Casey on his investment philosophy, what sends him into what he calls "barnacle mode," his preference for customer-focused North Star metrics, and more.

0:00-1:42 Intro

1:42-5:58 Approach to investing

5:58-8:20 What Casey told Jeff Bezos, and what he learned

8:20-12:57 How CEOs communicate with public market investors; unconventional North Star metrics

12:57-15:48: Why Casey loves dividends

15:48-20:44 Macro trends and investing theses

20:44-21:37 Ecommerce predictions

21:37-23:15 Opportunities and choke points in AI

23:15-25:18 What makes a great public company?

25:18-26:04 Outro

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.