Amazon Narratives: Memos, Working Backwards from Release, More
The a16z Show8 Feb 2021

Amazon Narratives: Memos, Working Backwards from Release, More

When you hear stories about Amazon's "invention machine" -- which led to a company with not just one or two products but several successful diverse lines of business -- we often hear about things like: Memos, six pages exactly and no powerpoints at all!; or, the idea of just "work backwards from the press release"; and other such "best practices"... But what's often lost in hearing about these is the context and the details behind them -- the what, the how (as well as their origin stories) -- not to mention how they all fit together. Knowing this can give us insight into how all companies and leaders, not just Amazon and Bezos, can define their cultures and ways especially as they scale. After all, Amazon was once a small startup, too.

So in this a16z Podcast with Sonal Chokshi -- the very first podcast for the new book Working Backwards: Insights, Stories, and Secrets from Inside Amazon (out February 9) -- authors Colin Bryar and Bill Carr share not only how Amazon did it, but how other companies can do it, too, drawing on their combined 27 years of firsthand observations and experiences from being in "the room" where it happens. Bill was vice president of digital media, founded and led Amazon Music, Amazon Video, Amazon Studios; and Colin started out in the software group, was a technical vice president, and then, notably, was one of Jeff Bezos' earliest shadows -- the shadow before him was in fact Andy Jassy, president and CEO of Amazon Web Services (soon to be CEO of Amazon).

The two share not only the early inside stories behind (ultimately) big business moves like AWS, Kindle, Prime -- but more importantly, the leadership principles, decision making practices, AND operational processes that got them there. Because "working backwards" is much, much more than being obsessed with your customers, or having company values like "are right a lot”, "insist on the highest standards", "think big", "bias for action", and more. The discussion also touches on hot-topic debates like to lean-MVP-or-not-to-be; the internal API economy; do you even need a chief product officer; and if you need less, not more, coordination as you grow. Can startups really be like Amazon? Yes: and it comes down to how leaders, organizations, and people at all levels decide, build, invent... using the power of narratives and more.

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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.


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Episoder(983)

Dwarkesh and Ilya Sutskever on What Comes After Scaling

Dwarkesh and Ilya Sutskever on What Comes After Scaling

AI models feel smarter than their real-world impact. They ace benchmarks, yet still struggle with reliability, strange bugs, and shallow generalization. Why is there such a gap between what they can do on paper and in practiceIn this episode from The Dwarkesh Podcast, Dwarkesh talks with Ilya Sutskever, cofounder of SSI and former OpenAI chief scientist, about what is actually blocking progress toward AGI. They explore why RL and pretraining scale so differently, why models outperform on evals but underperform in real use, and why human style generalization remains far ahead.Ilya also discusses value functions, emotions as a built-in reward system, the limits of pretraining, continual learning, superintelligence, and what an AI driven economy could look like. Resources:Transcript: https://www.dwarkesh.com/p/ilya-sutsk...Apple Podcasts: https://podcasts.apple.com/us/podcast...Spotify: https://open.spotify.com/episode/7naO... Stay Updated:If you enjoyed this episode, be sure to like, subscribe, and share with your friends!Find a16z on X: https://x.com/a16zFind a16z on LinkedIn: https://www.linkedin.com/company/a16zListen to the a16z Podcast on Spotify: https://open.spotify.com/show/5bC65RDvs3oxnLyqqvkUYXListen to the a16z Podcast on Apple Podcasts: https://podcasts.apple.com/us/podcast/a16z-podcast/id842818711Follow our host: https://x.com/eriktorenbergPlease 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](http://a16z.com/disclosures.  Stay Updated:Find a16z on XFind a16z on LinkedInListen to the a16z Show on SpotifyListen to the a16z Show on Apple PodcastsFollow our host: https://twitter.com/eriktorenberg 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. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

15 Des 1h 32min

AI Eats the World: Benedict Evans on the Next Platform Shift

AI Eats the World: Benedict Evans on the Next Platform Shift

AI is reshaping the tech landscape, but a big question remains: is this just another platform shift, or something closer to electricity or computing in scale and impact? Some industries may be transformed. Others may barely feel it. Tech giants are racing to reorient their strategies, yet most people still struggle to find an everyday use case. That tension tells us something important about where we actually are.In this episode, technology analyst and former a16z partner Benedict Evans joins General Partner Erik Torenberg to break down what is real, what is hype, and how much history can guide us. They explore bottlenecks in compute, the surprising products that still do not exist, and how companies like Google, Meta, Apple, Amazon, and OpenAI are positioning themselves.Finally, they look ahead at what would need to happen for AI to one day be considered even more transformative than the internet.Timestamps: 0:00 – Introduction 0:17 – Defining AI and Platform Shifts1:50 – Patterns in Technology Adoption6:04 – AI: Hype, Bubbles, and Uncertainty13:25 – Winners, Losers, and Industry Impact19:00 – AI Adoption: Use Cases and Bottlenecks24:00 – Comparisons to Past Tech Waves32:00 – The Role of Products and Workflows40:00 – Consumer vs. Enterprise AI46:00 – Competitive Landscape: Tech Giants & Startups51:00 – Open Questions & The Future of AIResources:Follow Benedict on LinkedIn: https://www.linkedin.com/in/benedictevans/ Stay Updated:If you enjoyed this episode, be sure to like, subscribe, and share with your friends!Find a16z on X: https://x.com/a16zFind a16z on LinkedIn: https://www.linkedin.com/company/a16zListen to the a16z Podcast on Spotify: https://open.spotify.com/show/5bC65RDvs3oxnLyqqvkUYXListen to the a16z Podcast on Apple Podcasts: https://podcasts.apple.com/us/podcast/a16z-podcast/id842818711Follow our host: https://x.com/eriktorenbergPlease 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 http://a16z.com/disclosures. Stay Updated:Find a16z on XFind a16z on LinkedInListen to the a16z Show on SpotifyListen to the a16z Show on Apple PodcastsFollow our host: https://twitter.com/eriktorenberg 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. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

12 Des 1h 2min

How the Best CEOs Delegate

How the Best CEOs Delegate

Jonathan Swanson has built two rare successes: Thumbtack, the home-services marketplace, and Athena, the fast-growing platform that pairs ambitious people with world-class personal assistants. Today he runs a 4,000-person company, invests on the side, and raises four kids — all by designing his life around leverage.a16z General Partner, Erik Torenberg, sits down with Jonathan to unpack what that actually looks like. They discuss how elite assistant culture shaped his philosophy, why delegation is a skill most founders never truly learn, and how the combination of humans and AI is redefining personal productivity. Jonathan explains why he believes ambition grows with leverage, not the other way around, and breaks down how he delegates everything from scheduling to search processes to entire life systems.They also get into the future of work, the rise of machine-generated delegation, the expanding role of chiefs of staff, and how founders can design their time around the few things that matter most. It’s a conversation about work, life, and the systems that allow people to operate at scale.Timecodes0:00 – Introduction1:52 – The power of delegation: from the White House to Thumbtack03:13 – Human vs. AI assistants: the future of delegation05:30 – Levels of delegation: from tasks to algorithms07:31 – Principles of effective delegation08:50 – Delegation & productivity hacks10:46 – The future: machine-generated delegation12:36 – Global talent & leveraging international teams13:33 – Assistants and financial leverage14:45 – Company culture across borders16:18 – Assistants as accountability partners17:52 – Coaching, feedback, and the human element19:30 – Goal setting, time management, and prioritization23:07 – Frameworks for founders: time, energy, and meetings26:06 – The efficient path vs. the effect path28:19 – Executive hiring: principles and pitfalls30:19 – Reference check signals 33:09 – Principles for company transparency36:55 – Cofounder relationships & company building39:19 – Chief of staff vs. executive assistant40:06 – Learning from high-performers: Lonsdale, Elon, Thiel, etc.47:10 – Building your universe: org structures and talent networks52:33 – Managing founder psychology & staying in the gameResources:Follow Jonathan on X: https://x.com/swaaansonFollow our host: https://twitter.com/eriktorenberg Stay Updated:If you enjoyed this episode, be sure to like, subscribe, and share with your friends!Find a16z on X: https://twitter.com/a16zFind a16z on LinkedIn: https://www.linkedin.com/company/a16zListen to the a16z Podcast on Spotify: https://open.spotify.com/show/5bC65RDvs3oxnLyqqvkUYXListen to the a16z Podcast on Apple Podcasts: https://podcasts.apple.com/us/podcast/a16z-podcast/id842818711Please 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 http://a16z.com/disclosures. Stay Updated:Find a16z on XFind a16z on LinkedInListen to the a16z Show on SpotifyListen to the a16z Show on Apple PodcastsFollow our host: https://twitter.com/eriktorenberg 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. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

10 Des 57min

The $3 Trillion AI Coding Opportunity

The $3 Trillion AI Coding Opportunity

Originally published on the a16z Infra podcast. We're resurfacing it here for our main feed audience.AI coding is already actively changing how software gets built.a16z Infra Partners Yoko Li and Guido Appenzeller break down how "agents with environments" are changing the dev loop; why repos and PRs may need new abstractions; and where ROI is showing up first. We also cover token economics for engineering teams, the emerging agent toolbox, and founder opportunities when you treat agents as users, not just tools. Resources:Follow Yoko on X: https://x.com/stuffyokodrawsFollow Guido on X: https://x.com/appenz Stay Updated:If you enjoyed this episode, be sure to like, subscribe, and share with your friends!Find a16z on X: https://x.com/a16zFind a16z on LinkedIn: https://www.linkedin.com/company/a16zListen to the a16z Podcast on Spotify: https://open.spotify.com/show/5bC65RDvs3oxnLyqqvkUYXListen to the a16z Podcast on Apple Podcasts: https://podcasts.apple.com/us/podcast/a16z-podcast/id842818711Follow our host: https://x.com/eriktorenbergPlease 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 http://a16z.com/disclosures Stay Updated:Find a16z on XFind a16z on LinkedInListen to the a16z Show on SpotifyListen to the a16z Show on Apple PodcastsFollow our host: https://twitter.com/eriktorenberg 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. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

9 Des 37min

The 80-Year Bet: Why Naveen Rao Is Rebuilding the Computer from Scratch

The 80-Year Bet: Why Naveen Rao Is Rebuilding the Computer from Scratch

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8 Des 30min

What Comes After ChatGPT? The Mother of ImageNet Predicts The Future

What Comes After ChatGPT? The Mother of ImageNet Predicts The Future

Fei-Fei Li is a Stanford professor, co-director of Stanford Institute for Human-Centered Artificial Intelligence, and co-founder of World Labs. She created ImageNet, the dataset that sparked the deep learning revolution. Justin Johnson is her former PhD student, ex-professor at Michigan, ex-Meta researcher, and now co-founder of World Labs.Together, they just launched Marble—the first model that generates explorable 3D worlds from text or images.In this episode Fei-Fei and Justin explore why spatial intelligence is fundamentally different from language, what's missing from current world models (hint: physics), and the architectural insight that transformers are actually set models, not sequence models. Resources:Follow Fei-Fei on X: https://x.com/drfeifeiFollow Justin on X: https://x.com/jcjohnssFollow Shawn on X: https://x.com/swyxFollow Alessio on X: https://x.com/fanahova Stay Updated:If you enjoyed this episode, please be sure to like, subscribe, and share with your friends.Follow a16z on X: https://x.com/a16zFollow a16z on LinkedIn:https://www.linkedin.com/company/a16zFollow the a16z Podcast on Spotify: https://open.spotify.com/show/5bC65RDvs3oxnLyqqvkUYXFollow the a16z Podcast on Apple Podcasts: https://podcasts.apple.com/us/podcast/a16z-podcast/id842818711Please 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 http://a16z.com/disclosures. Stay Updated:Find a16z on XFind a16z on LinkedInListen to the a16z Show on SpotifyListen to the a16z Show on Apple PodcastsFollow our host: https://twitter.com/eriktorenberg 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. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

5 Des 1h 1min

How AI Created the Fastest Product Cycle in History

How AI Created the Fastest Product Cycle in History

Recently, a16z General Partner Anish Acharya joined Ollie Forsyth on NEW ECONOMIES. They talked about why consumer tech is surging again, how AI is enabling 100M-user products at unprecedented speed, and what founders need to understand heading into 2026 — from distribution shifts to founder mindset to the mechanics behind the fastest product cycle in tech history. Resources:Follow Ollie: https://x.com/ollieforsythFollow Anish: https://x.com/illscience Stay Updated:If you enjoyed this episode, be sure to like, subscribe, and share with your friends!Find a16z on X: https://x.com/a16zFind a16z on LinkedIn: https://www.linkedin.com/company/a16zListen to the a16z Podcast on Spotify: https://open.spotify.com/show/5bC65RDvs3oxnLyqqvkUYXListen to the a16z Podcast on Apple Podcasts: https://podcasts.apple.com/us/podcast/a16z-podcast/id842818711Follow our host: https://x.com/eriktorenbergPlease 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 http://a16z.com/disclosures. Stay Updated:Find a16z on XFind a16z on LinkedInListen to the a16z Show on SpotifyListen to the a16z Show on Apple PodcastsFollow our host: https://twitter.com/eriktorenberg 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. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

4 Des 50min

Why AI Moats Still Matter (And How They've Changed)

Why AI Moats Still Matter (And How They've Changed)

a16z General Partners David Haber, Alex Rampell, and Erik Torenberg discuss why 19 out of 20 AI startups building the same thing will die - and why the survivor might charge $20,000 for what used to cost $20.They expose the "janitorial services paradox" (why the most boring software is most defensible), explain why OpenAI won't compete with your orthodontic clinic software despite having 800 million weekly users, and reveal how non-lawyers are building the most successful legal AI companies. Plus: the brutal truth about why momentum isn't a moat, but without it, you're already dead. Resources:Follow David on X: https://x.com/dhaberFollow Alex on X: https://x.com/arampellFollow Erik on X: https://x.com/eriktorenberg Stay Updated:If you enjoyed this episode, be sure to like, subscribe, and share with your friends!Find a16z on X: https://x.com/a16zFind a16z on LinkedIn: https://www.linkedin.com/company/a16zListen to the a16z Podcast on Spotify: https://open.spotify.com/show/5bC65RDvs3oxnLyqqvkUYXListen to the a16z Podcast on Apple Podcasts: https://podcasts.apple.com/us/podcast/a16z-podcast/id842818711Follow our host: https://x.com/eriktorenbergPlease 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 http://a16z.com/disclosures. Stay Updated:Find a16z on XFind a16z on LinkedInListen to the a16z Show on SpotifyListen to the a16z Show on Apple PodcastsFollow our host: https://twitter.com/eriktorenberg 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. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

3 Des 51min

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