AI

Daphne Koller, founder and CEO of insitro, discusses how an LLM for cells could revolutionize drug discovery and how to bridge the technological and cultural divide between building with atoms and building with bits.

Microsoft CTO Kevin Scott explains how AI copilots are keeping developers longer in a flow state and why AI copilots more broadly could be the start of an industrial revolution for knowledge work.

Noam Shazeer, Character.ai CEO and cofounder, talks to a16z's Sarah Wang about the dawn of universally accessible intelligence, the compute it will take to power it, and his pursuit of AGI's first use case: AI friends.

Blackstone's CTO describes the qualities he looks for in early stage companies and predicts AI's impact on real estate, credit, and energy.

Fei-Fei Li and Justin Johnson are pioneers in AI. While the world has only recently witnessed a surge in consumer AI, our guests have long been laying the groundwork for innovations that are transforming industries today...

Ambience cofounder Nikhil Buduma discusses how to build vertical applications with AI models, including in health care, and why tech expertise isn't enough.

MotherDuck CEO Jordan Tigani discusses DuckDB's spiking popularity as the era of big data wanes, as well as the nexus of SQL and LLMs.

A conversation about the role startups are playing in partnership with big banks and where Tim disagrees with the zeitgeist on the adoption of AI in financial services.

Black Forest Labs founders Robin Rombach, Andreas Blattmann, and Patrick Esser discuss their new company building state-of-the-art image and video models.

Vijay Pande walks us through two decades of applying software engineering and AI to biotech and health care — from Folding@Home through AlphaFold and more.

PromptFoo creator Ian Webster discusses the importance of red-teaming for AI safety and security, and of bringing those capabilities to more organizations.

On June 27th, the a16z team headed to New York City for the first-ever AI Artist Retreat at their office. This event brought together the builders behind some of the most popular AI creative tools, along with 16 artists,...

Command Zero CTO Dean de Beer discusses how large language models can help with cybersecurity incident response, and how to build products on LLMs.

Anyscale's Robert Nishihara discusses the challenges of training and running AI models at scale, and how a focus on video data will change generative AI.

Less than two years since the breakthrough of text-based AI, we now see incredible developments in multimodal AI models and their impact on millions of users.

Jiaming Song and Anjney Midha discuss Luma's Dream Machine 3D model that shows abilities to reason about the world across a variety of aspects.

Is it time to hand over cybersecurity to machines amidst the exponential rise in cyber threats and breaches?

Alasdair Monk discusses how generative AI is changing how developers — and the those building for developers — interact with the tools of their trade.

a16z General Partner Angela Strange, Plaid CEO Zach Perret, and Marqeta CEO Simon Khalaf discuss how AI and fintech will shape the future of banking.

In this AI + a16z episode, Inngest CEO Tony Holdstock-Brown discusses the reality of running AI agents and multistep AI workflows in production.

In this latest episode on the State of AI, Ben and Marc discuss how small AI startups can compete with Big Tech’s massive compute and data scale advantages, reveal why data is overrated as a sellable asset, and unpack al...

In this AI + a16z podcast episode, Mohammad Norouzi shares his story of building influential text-to-image models at Google and cofounding Ideogram.

In this episode, a16z General Partner Anjney Midha breaks down everything the tech community needs to know about SB-1047.

We stitched together two episodes from the a16z Podcast, featuring Anjney Midha interviewing Arthur Mensch (Mistral) and Stefano Ermon (Stanford).

In this episode of the AI + a16z podcast, a16z partners Guido Appenzeller and Matt Bornstein discuss the state of the generative AI market, about 18 months after it really kicked into high gear with the release of ChatGP...

Security-startup founders Dean De Beer (Command Zero), Kevin Tian (Doppel), and Travis McPeak (Resourcely) share their thoughts on generative AI.

Kim Branson, PhD, SVP and Global Head of AI and Machine Learning for GSK, joins Vijay Pande, founding partner at a16z Bio + Health. Together, they talk about how AI has improved drug discovery and development, as Kim walks through all the ways AI can be deployed in the lab.

In 2009 Discord cofounder and CEO, Jason Citron, started building tools and infrastructure for games. Fast forward to today and the platform has over 200 million monthly active users. In this episode, Jason, alongside a1...

In this AI + a16z episode, a16z's Zane Lackey and Joel de la Garza discuss how generative AI and LLMs could effect profound change in cybersecurity.

Human nature fears the unknown, and with the rapid progress of AI, concerns naturally arise. Uncanny robocalls, data breaches, and misinformation floods are among the worries. But what about security in the era of large...

In this episode of the AI + a16z podcast, Socket's Feross Aboukhadijeh and a16z's Joel de la Garza discuss the open-source software supply chain.

In recent years, the AI landscape has seen huge advancements, from the release of Dall-E 2 in April 2022 to the emergence of AI music and video models in early 2024. While creative tools often steal the spotlight, AlphaF...

In this In the Vault episode, a16z General Partner David Haber talks with Goldman Sachs CIO Marco Argenti about fintech, financial services, and GenAI.

In this In the Vault episode, a16z General Partner Angela Strange talks with Jeff Sloan, former CEO of Global Payments, about industry trends and AI.

In this In the Vault episode, a16z General Partner David Haber talks with Sixth Street Partners' Marty Chavez about his storied career and AI's promise.

Pinecone Founder and CEO Edo Liberty discusses the promises, challenges, and opportunities for vector databases and retrieval augmented generation (RAG).

Senator Todd Young (R-IN) speaks with a16z General Partner Martin Casado about the importance of open innovation and American leadership in AI, and why we need to support AI research at all levels — from the classroom to the war room.

Anjney Midha shares his thoughts on how hardware for AI might evolve over the years to come as we place more emphasis on AI inference workloads.

Vijay Pande, founding general partner of a16z Bio + Health, chats with the builders (and siblings) behind Devoted Health, Ed and Todd Park.

The AI + a16z podcast captures our thinking on artificial intelligence across a broad swath of areas, from infrastructure to business implications.

Naveen Rao of Databricks joins a16z's Matt Bornstein and Derrick Harris to discuss where we're at in terms of large language model (LLM) adoption.

This episode of the AI + a16z podcast features a panel discussion from back in February, focused on the state — and future — of open source AI models.

Vijay Pande, founding general partner, and Julie Yoo, general partner at a16z Bio + Health, come together to talk through the grand challenges facing healthcare AI today.

This episode features interviews with payor and provider leaders about what they’re seeing and how they’re thinking about AI. Guided by Julie Yoo, general partner, and Jay Rughani, investment partner at a16z Bio + Health, you'll hear from the executives about how they're utilizing AI, the KPIs they use to gauge effectiveness, and what they consider to be a good partnership.

Artificial intelligence has taken the world by storm. But despite the hype around personalized avatars or podcast language translation, artificial intelligence is not only impacting the creative spheres; in fact it’s hard to find an industry that isn’t being touched by this technology – and defense of our country is far from excluded. In this episode, originally recorded in the heart of Washington DC this January during a16z’s American Dynamism Summit, a16z General Partner Martin Casado and a16z enterprise editor, Derrick Harris are joined by the first-ever CTO of the CIA, Nand Mulchandani.

In this episode recorded at a16z’s American Dynamism Summit in January, a16z General Partner Katherine Boyle is joined by the Director of the DIU, Doug Beck, plus two critical founders ushering in this new era of defense: Brian Schimpf, cofounder and CEO of Anduril and Brandon Tseng, cofounder of Shield AI.

In this episode of the a16z Podcast, a16z General Partner Anjney Midha connects with Stefano Ermon, Professor of Computer Science at Stanford and key figure at the lab behind the diffusion models now used in Sora, ChatGPT, and Midjourney. Together, they delve into the challenges of video generation, the cutting-edge mechanics of Sora, and what this all could mean for the road ahead.

In this episode, Joe Grogan, a senior fellow at the Leonard D. Schaeffer Center for Health Policy and Economics and a former senior government official, joins Vijay Pande, founding partner of a16z Bio + Health to discuss all things regulation.

Vijay Pande, founding partner of Bio + Health, is joined by Daphne Koller, Andrew Ng, Aviv Regev, and Jakob Uszkoreit. Vijay leads us on a reflective journey through the monumental achievements in AI from the 1980s to today, with a focus on the progress in healthcare and life sciences.

As we close off 2023, we wanted to revisit some of our favorite episodes from the last year. From AI hardware, to healthcare regulation, to disrupting the world’s largest asset class, to the electrification of nearly everything… there’s  something in here for all listeners.

A new age of maritime exploration, the rise of the developer as a buyer in financial services, and more applications for computer vision and video intelligence. We asked over 40 partners across a16z to preview one big idea they believe will drive innovation in 2024. Here in our 3-part series, you’ll hear directly from partners across all our verticals, as we dive even more deeply into these ideas. What’s the why now? Who is already building in these spaces? What opportunities and challenges are on the horizon? And how can you get involved?

General Partner Anjney Midha explores the cutting-edge world of text-to-video AI with AI researchers Andreas Blattman and Robin Rombach.  Released in November, Stable Video Diffusion is their latest open-source generative video model, overcoming challenges in size and dynamic representation. In this episode, Robin and Andreas share why translating text to video is complex, the key role of datasets, current applications, and the future of video editing.

Voice-First Apps, AI Moats, Never-Ending Games, and Anime. We asked over 40 partners across a16z to preview one big idea they believe will drive innovation in 2024. Here in our 3-part series, you’ll hear directly from partners across all our verticals, as we dive even more deeply into these ideas. What’s the why now? Who is already building in these spaces? What opportunities and challenges are on the horizon? And how can you get involved?

Pranav Rajpurkar, PhD, joins Vijay Pande, founding partner of a16z Bio + Health. In this episode, Pranav and Vijay discuss a future with generalist medical AI. This is the idea of a medical AI that isn’t narrowly tailored to one specific task.

Arthur Mensch is the co-founder of Mistral and the co-author of Deepmind’s pivotal 2022 "Chinchilla" paper. In September 2023, Mistral released Mistral-7B, an advanced open-source language model that has rapidly become the top choice for developers. Just this week, they introduced a new mixture of experts model – Mixtral — that’s already generating significant buzz among AI developers. As the battleground around large language models heats up, join us for a conversation with Arthur as he sits down with a16z General Partner Anjney Midha. Together, they delve into the misconceptions and opportunities around open source; the current performance reality of open and closed models; and the compute, data, and algorithmic innovations required to efficiently scale LLMs.

Smart energy grids. Voice-first companion apps. Programmable medicines. AI tools for kids.
We asked over 40 partners across a16z to preview one big idea they believe will drive innovation in 2024. Here in our 3-part series, you’ll hear directly from partners across all our verticals, as we dive even more deeply into these ideas. What’s the why now? Who is already building in these spaces? What opportunities and challenges are on the horizon? And how can you get involved?

Today, we discuss the key frontier research areas that AI labs are exploring on their path toward generalizable intelligence, from self-play, to model-free reinforcement learning to synthetic data. Anjney also shares his insights on which approach he expects to be most influential in the next wave of LLMs and why math problems are even a suitable testing ground for this kind of research.

Mario Schlosser, cofounder, former CEO, and current President of Technology at Oscar Health, joins Julie Yoo of Bio + Health. The conversation explores how AI advancements can revolutionize traditional healthcare models by enhancing efficiency, personalizing care journeys, and integrating real-time data insights.

Miriam Vogel, President and CEO of EqualAI, cohost of the podcast In AI we Trust, and Chair to the recently launched National AI Advisory Committee, joins Vijay Pande of Bio + Health.

AI trailblazer Suchi Saria, PhD, in conversation with Vijay Pande, sheds light on the winding path that led her to launch Bayesian Health, a bold effort to infuse intelligence into clinical workflows.

In this candid conversation, Li unfolds her transformation from a young immigrant to an influential figure in AI. The conversation explores the birth of ImageNet, a pivotal step that bridged the gap between visual intelligence and accessible AI technology.

Is it possible to construct a virtual society that authentically replicates human behavior? AI Town, a virtual town experiment where AI residents live, interact, and engage, provides valuable insights into the future of AI's believability and its interaction with humanity. In this panel discussion, Joon Park, the author of 'Generative Agents: Interactive Simulacra of Human Behavior,' and Martin Casado from a16z, discuss the influence and potential of Generative Agents, exploring their practical applications in the real world.

Together, they talk about how Evan’s work in the lab (ironically, Vijay's lab at Stanford!) translated to the creation of Genesis, which is tackling the problem of drug discovery through AI. They also discuss how the Genesis team is building specifically to carry on work at the intersection of ML, biotech, and chemistry.

Surya Ganguli, PhD, an associate professor at Stanford University and a neural dynamics researcher, joins Vijay Pande of Bio + Health.

Today’s episode continues our coverage from a16z’s recent AI Revolution event. You’ll hear directly from a16z cofounder Ben Horowitz and Databricks cofounder and CEO, Ali Ghodsi as they answer questions around AI and the enterprise, plus their perspectives on open source, whether benchmarks are BS, and the scramble of universities to take part in the very wave they kicked off decades ago.

Today’s episode continues our coverage from a16z’s recent AI Revolution event. You’ll hear a16z Bio & Health GP Vijay Pande speak with Daphne Koller about the fascinating convergence of machine learning and genomics – two industries that have benefitted decades of investment and progress – which are now colliding head on.

This episode is live from our recent AI Revolutionaries (AIR) conference. In this episode, Daphne Koller, PhD, founder and CEO at insitro and AI expert, chats with Vijay Pande of Bio + Health.

The AI Revolution is here. In this episode, you’ll learn what the most important themes that some of the world’s most prominent AI builders – from OpenAI, Anthropic, CharacterAI, Roblox, and more – are paying attention to. You’ll hear discussion around the real-world impact of this revolution, on industries ranging from gaming to design, and the considerations around alignment along the way.

The AI Revolution is here. In this episode, you’ll learn what the most important themes that some of the world’s most prominent AI builders – from OpenAI, Anthropic, CharacterAI, Roblox, and more – are paying attention to. You’ll hear about the economics of AI, broad vs specialized models, the importance of UX, and whether we can expect scaling laws to continue.

Andrew has thought deeply about the implications of integrating AI into many areas of our lives, going so far as to put out a public social media call for people who believe AI is dangerous to speak with him. He and Vijay discussed this, as well as how AI could become foundational to many industries—and what needs to happen to make that future a reality.

How many people spend more time organizing their “second brains”, instead of leveraging the information within them? With consumer AI now capable of processing simple language prompts and interfacing with unstructured data, is the landscape of information management on the brink of a transformative evolution? Founders of Mem, Kevin Moody and Dennis Xu, plus writer Nat Eliason, explore what’s gotten in the way of a true second brain, and how AI may finally unlock what “knowledge management” tools have promised for so long.

Together, Lloyd and Vijay chatted about how AI could change the practice of medicine, and what the implications are for medical students now and in the future. join Lloyd and Vijay as they discuss AI and medical education—from how students learn to how doctors become licensed.

With students learning in more places and different ways than we have ever seen, the pace of change in education is dizzying. Can this progress narrow learning gaps exacerbated by COVID-19 or will it fuel divides? How can we make the most of this once-in-a-generation opportunity? Join our panelists from Khan Academy, PrismsVR, and Minecraft Education as we discuss the classroom of the future, and how important technologies including AI, XR, and gaming should play a role in it.

A podcast episode on the convergence of two important technologies: artificial intelligence and blockchains/crypto.

Isaac (Zak) Kohane, MD, PhD, the Chair of the Department of Biomedical Informatics at Harvard Medical School, joins Vijay Pande, founding partner of a16z Bio + Health.

With software becoming more important than ever, hardware is following suit. As the world generates more data, unlocking the full potential of AI means a constant need for faster and more resilient hardware. But how much does this all really cost? In this final segment of our AI hardware series, we tackle that question head on.

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.

In 2011, Marc Andreessen said, “software is eating the world.” And in the last year, we’ve seen a new wave of generative AI, with some apps becoming some of the most swiftly adopted software products of all time. So if software is becoming more important than ever, hardware is following suit. In this episode – the first in our three-part series – we explore the terminology and technology that is now the backbone of the AI models taking the world by storm. We’ll explore what GPUs are, how they work, the key players like Nvidia competing for chip dominance, and also… whether Moore’s Law is dead?

Amy Abernethy, former Principal Deputy Commissioner at the FDA and now the President of Product Development and Chief Medical Officer at Verily Life Sciences, joins Vijay Pande, founding partner of a16z Bio + Health.

Today’s episode is with Greg Meyers, EVP and Chief Digital and Technology Officer at Bristol Myers Squibb (or BMS). He is joined by a16z Bio + Health general partner Jorge Conde.

2022 was a breakout year for AI. While machine learning had already been integrated into applications for millions of users, for many, these tools still felt like their first real-world encounter with AI. As AI continues to revolutionize industries, CEOs are discussing how to integrate this new superpower. They are also considering important questions around data privacy, competition, cost, accuracy, and speed. In today's episode, we talk with Cresta, Hex, and Sourcegraph, three companies at the forefront of integrating AI into their existing products. From navigating data privacy concerns to optimizing accuracy and managing costs, these CEOs are navigating the complexities of this new superpower.

This special episode will give you an inside look into a16z’s Data and AI Forum, hosted the day GPT-4 came out, featuring many of the most influential builders in the space – from the companies building foundational models like OpenAI to those building the underlying infrastructure like AWS.

In this episode, Sinead Bovell and Danny Postma discuss the transformative impact of artificial intelligence on the world of modeling, online creation, and self-representation. From the rise of AI-generated photos to the democratization of creativity, they discuss the potential of AI in shaping the future of digital expression.

In this episode, Daphne Koller, founder and CEO of insitro, chats with a16z Bio + Health founding partner Vijay Pande.

With every new technology, some jobs are lost while others are gained. People often focus on the former, but in this episode we chose to highlight the latter – a highly creative role that emerges alongside AI: the prompt engineer. Until AI can close the loop of its own, each tool still requires a set of prompts. Just like a composer feeds an instrument the notes to play, a prompt engineer feeds an AI a map of what to produce. And if we know anything from music it’s that composing great music takes great skill! In this episode we explore the emerging importance of prompting with Guy Parsons, the early learnings of how to do it effectively, and where this field might be going. Will the prompt engineer be more like the highly sought after DevOps engineer, or a proficiency like Excel that you find on every resume? Listen in to hear Guy’s take.

Starting in the 1960s, technology companies, funded by the U.S. Department of Defense, were essential for creating the processors that would eventually launch satellites and guide missiles. Half a century later, today’s tech companies can — and need — to move even faster and smarter, as international adversaries scale up their aggressions. In this episode, Anduril Industries Founder Palmer Luckey will discuss how Silicon Valley is using new technologies to build new tools, systems, and companies to defend our nation and its interests.

What happens when you don’t have the resources to fight for your rights? Whether it’s a major medical bill or a more minor parking ticket… even if you were in the right, is it easier to just… pay? Well, Joshua Browder's answer is Do Not Pay! He’s built a thriving company of the same name, that helps consumers “fight corporations, beat bureaucracy, and sue anyone at the press of a button.” Through the power of technology, DoNotPay has resolved over 2m cases successfully and in this interview we get to hear where Browder hopes to take the organization, including his first-hand account of his recent plan to bring the robot lawyer into the physical courtroom.

A small minority – likely less than 1% – of the world can code. Yet it is also widely known that the skillset tends to yield outsized returns, with developers generating some of the highest paying salaries out there. But the field is quickly shifting, especially with the advent of wide-scale AI. In this podcast, we get to chat with Amjad Masad, founder of Replit, about these foundational shifts. We cover how Replit has integrated AI into its platform and the implications on both current and future developers. It’s easier than ever to learn to code, but is it still worthwhile? Listen in to find out.

At the end of 2022, our team at a16z asked dozens of partners across the firm to spotlight one big idea that startups in their fields could tackle in 2023. Emerging from this exercise came 40+ builder-worthy pursuits for the year, ranging from entertainment franchise games to precision delivery of medicine to small modular reactors, and of course loads of AI applications. In our 2-part series, we’ll be covering 12 of these big ideas with the partners that shared them. Here in part 2, we’ll cover Fintech, American Dynamism, and Bio & Health. Listen in as we chat with Anish Acharya, Angela Strange, Michelle Volz, Ryan McEntush, Vijay Pande, and Julie Yoo. And for the full list of 40+ ideas, check out the full article: https://a16z.com/2022/12/15/big-ideas-in-tech-2023/

At the end of 2022, our team at a16z asked dozens of partners across the firm to spotlight one big idea that startups in their fields could tackle in 2023. Emerging from this exercise came 40+ builder-worthy pursuits for the year, ranging from entertainment franchise games to precision delivery of medicine to small modular reactors, and of course loads of AI applications. In our 2-part series, we’ll be covering 12 of these big ideas with the partners that shared them. Here in part 1, we’ll cover Consumer, Games, and Enterprise, with a little Fintech sprinkled in. Listen in as we chat with Connie Chan, Anne Lee Skates, Jack Soslow, Doug McCracken, Sarah Wang, and Sumeet Singh. And for the full list of 40+ ideas, check out the full article: https://a16z.com/2022/12/15/big-ideas-in-tech-2023/

In this episode, Vijay Pande, founding partner of a16z Bio + Health, talks with Jakob Uszkoreit, the cofounder of Inceptive, about the past and future of AI — and how AI can be used to push the science of biology farther.

In this episode, Marc Andreessen and Vijay Pande discuss expert AI and its role in healthcare, bio, and more.

In this episode, Marc Andresseen and Vijay Pande discuss expert AI and its role in healthcare, bio, and more.

[untitled] is building the new operating system for musicians. Users can upload, organize, and even edit their music on mobile with AI-powered features.

LLMs can now enable experiences that capture data at the point of creation in ways that were impossible for traditional software.

Every day, millions of SMBs waste countless hours synthesizing waves of unstructured information and entering data into systems of record. We call this the “messy inbox problem.”

I’ve been using ChatGPT like a daily journal to translate my innermost thoughts and feelings into a readily understandable format. I've been blown away by the results.

Braintrust is a devtool platform for any product effort — from simple apps to sophisticated products — based around large language models.

It feels like software is shrinking while everyone is scrambling to buy generative AI. What’s changed, and how can you get a leg up?

As the market-leading AI scribe for veterinarians, Scribenote automates burdensome documentation requirements.

In this post, we look at how AI is increasing VSaaS revenue per customer by enabling vertical SaaS companies to take on tasks previously too complex for software.

Fei-Fei Li and are team of experts at World Labs are building a spatial intelligence model that can generate 3D worlds that users can interact with.

Mintlify lets companies publish quality software documentation that aligns with their brands, including guides, API reference, and examples.

Generative AI is enabling a foundational shift in creative storytelling, empowering a new class of human creators to tell stories not feasible before.

An acceleration of talent, capital, and research progress in the robotics domain could enable the development of a horizontal robotics platform.

Cursor is a fork of VS Code that’s heavily customized for AI-assisted programming, with loads of features designed to integrate AI into developer workflows.

Today, thanks to AI, we are witnessing potentially the greatest transmutation in history. Software becomes labor. It’s the new E=MC2.

We crunched the data to find out: Which gen AI apps are people actually using? And which are they returning to, versus dabbling and dropping?

We're excited to announce our investment in Black Forest Labs (BFL), which is building the world’s best open visual models for developers.

With LLMs and AI-enabled data infrastructure, common sales activities will be redefined and completely new seller workflows will emerge.

Martin Casado and Ion Stoica argue that open-source models will power innovation without compromising security.

Artists are at the forefront of the AI platform shift. As new high fidelity tools emerge along the creative stack, technology is extending the impact of filmmakers, designers, animators, illustrators, photographers, and multimedia artists.

The time has come to stand up for Little Tech. Bad government policies are now the #1 threat to Little Tech. We believe American technology supremacy, and the critical role that Little Tech startups play in ensuring that supremacy, is a first class political issue on par with any other.

Here's where AI agents and software can have the most immediate impact on your business, and make you more efficient and productive.

Generative AI is working its way into everything, and firms want to show they are implementing this new tech — especially those that serve the accounting market.

Senate Bill 1047 is designed to apply to models trained above certain compute and cost thresholds. It also holds developers legally liable for the downstream use or modification of their models.

We see three phases in the evolution of adopting GenAI in marketing: the development of marketing copilots, the introduction of marketing agents & the rise of an autonomous marketing team.

Now is the time to reinvent the phone call. Thanks to gen AI, humans will spend time on the phone only when a call has value to them.

AI can own B2B workflows by converting them into a feature or capability within the product. This is the potential that we believe SynthAI yields.

Regulators influenced by the big companies create barriers to entry for "little tech" and curtail innovation.

Mature code-generation technology, coupled with advanced generative AI image models, has shortened the journey from idea to fully operational application.

There’s likely a whole category of non-AI companies and products that can FINALLY exist *because of the productivity gains of AI.*

AI-native consumer products should consider user retention a core metric, and the following boosters can help founders build it.

The opportunity to build the next iconic cybersecurity platform has arrived: Wiz, a global leader in cloud-native security.

The U.S. industrial base faces a series of risks that compromise our ability to remain globally competitive. AI is uniquely suited to tackle these complex challenges.

a16z Fintech connects ambitious technology founders with financial services leaders who recognize the power of generative AI.

We have just raised $7.2B for American Dynamism ($600M), Apps ($1B), Games ($600M), Infrastructure ($1.25B), and Growth ($3.75B). This marks an important milestone for us.

3 financial service giants cornered the market on data at the dawn of the digital age. What can founders learn from them?

GenAI will deliver massive value to companies, but it can be difficult to account for its costs. How we're thinking about monetizing new genAI features.

In 2024, enterprise leaders are doubling down on their genAI investments. 16 developments for founders to keep in mind to capture this new opportunity.

In our conversation series AI Revolution, we ask industry leaders how they’re harnessing the power of generative AI and steering their companies through the next platform shift.

CEO of Quora Adam D’Angelo discusses how building infrastructure for creators can democratize AI, in conversation with a16z’s David George.

Thousands of new AI-native companies are vying for attention. We crunched the data to find out: Which generative AI products are people actually using?

a16z's Martin Casado lays out the case for AI as a driving force behind incredible advancements in tech, creativity, and the human experience.

Rep. Mike Gallagher (R-WI) and Jake Auchincloss (D-MA) discuss why the US must strengthen its technological advantage in areas like AI.

Anduril Cofounder and CEO Brian Schimpf lays out the case for how and why technology plays a critical role in helping ensure a safer world.

Senator Todd Young speaks about the importance of open innovation and US leadership in AI, and why we need to support AI research.

Marc Andreessen and Ben Horowitz discuss the new bestselling book Read Write Own with author Chris Dixon on the web3 with a16z crypto podcast.

Jamil Khan explains how H&R Block is using AI, as well as what advice he would give founders looking to build in this space.

We predict an Era of Abundance — lives will be enriched through new channels for creativity, along with new paths to self discovery and belonging.

Big tech companies depend entirely on the people who use their apps and platforms, without sharing control, ownership, or rewards. There is another way forward: A future defined by digital ownership.

2023 was a breakout year for AI video. At the start of the year, no public text-to-video models existed, and there's a lot to come.

50 groundbreaking tech companies advancing the national interest, from the last mile to low Earth orbit.

Generative AI offers founders an opportunity to completely reinvent workflows — and will spawn a new cohort of fully AI-native companies.

We have long believed that AI will fundamentally reshape biotech and healthcare, positioning us at the brink of an AI-driven Industrial Revolution. But when will we see this payoff? Put more boldly, when will the majority of new drugs be designed with AI?

Every new platform changes how and where transactions happen. Now, we believe gen AI will be the latest revolution in marketplaces.

a16z announces its second batch of a16z Open Source AI Grant recipients. This cohort focuses mainly on LLMs and visual AI models.

100% of stock trades used to be made by humans. Today, 80% are made by computer algorithms. AI is about to bring a similar revolution to healthcare. Over the next few decades, at least half of the $4.3 trillion dollar American healthcare industry will be AI-driven.

The emergence of generative AI, cloud computing, and new spatial platforms is poised to disrupt 3D creation end-to-end.

Smart energy grids. Voice-first companion apps. Programmable medicines. AI tools for kids.
We asked over 40 partners across a16z to preview one big idea they believe will drive innovation in the coming year.

Our view is that 1) the latest advancements in AI offer a massive enablement opportunity to support our clinicians and 2) this can’t happen without the help of forward-thinking policymakers laying the infrastructure for AI-enabled care.

In April, the first viral AI cover dropped. More innovation in music and generative AI is coming, and here's what it might look like.

New and emerging technology solutions are beginning to make up a veritable tech stack aimed at tackling public safety.

We are told that technology is on the brink of ruining everything. But we are being lied to, and the truth is so much better. Marc Andreessen presents his techno-optimist vision for the future.

No one knows how generative AI will play out from a product perspective. The speakers at our Connect/Enterprise event shared their thoughts and experiences.

At the end of the day, even the best AI models will fail if they don’t figure out a way to achieve broad distribution and profitable monetization, so it’s important to understand the psyche of the buyers and decision makers who will determine the fate of your products.

Insights from leaders at OpenAI, Microsoft, Anthropic, Databricks, Character.AI, Roblox, insitro, and Figma on where we are, where we're going, and the open questions for building the next wave of AI.

Building specialist AIs to perform healthcare tasks offers the most challenging technical problems in the field today, as well as the greatest opportunity for impact.

To see how people are interacting with generative AI, we used data to rank the top 50 GenAI web products by monthly visits.

AI is creative massive opportunities for startups by making it possible to build scalable online experiences that replicate the benefits of being in person.

Generative AI is likely going to usher in a far more profound method of company transformation.

a16z announces its Open Source AI Grant program, which will support a small group of open source developers through grant funding.

When a platform shift reshapes the technology landscape, who wins? We unpack the market dynamics between startups and incumbents from the SaaS and cloud era that are likely to play out in the AI era.

With generative AI, we’re already seeing use cases with orders-of-magnitude improvement in time, cost, and performance over previous AI waves.

We believe that any new technology has to be 10 times better to successfully displace the last one – marginal improvements aren’t worth the effort. Enterprise software struggled to clear that 10x bar in healthcare; AI clears it easily.

Many digital-first companies have been propelled by generative AI. However, selling these digital products globally is not a straightforward undertaking. Here's how to simplify the cross-border selling experience, get in front of the right customers, and build long-term value.

Thanks to generative AI, the much-discussed topic of “self-driving money” finally has a chance to achieve its potential.

We believe the largest opportunity long-term is in leveraging AI to change not just how we create games, but the nature of the games themselves.

The world is amidst an AI-driven industrial revolution. Whether we let it improve the health of Americans is up to how we regulate it. There is no sector where AI can drive more immediate, life-saving impact than in biotechnology and healthcare.

How 4 key AI innovations will evolve over the next 6–12 months, and how founders can integrate these new advances into their businesses.

Chatbots have been around for decades, but this time is different. Today’s bots are making inroads into our social lives.

A very simple “getting started with AI” template for those who want to play with core technologies, but not have to think too much about tooling. 

AI will have the greatest impact on life sciences and health when it can succeed at specialist tasks like diagnoses and medical procedures.

A reference architecture for the LLM app stack. It shows the most common systems, tools, and design patterns used by AI startups and tech companies.

There's a full-blown moral panic about AI right now. But the real risk is losing the race to global AI technological superiority.

A curated list of resources we’ve relied on to get smarter about modern AI, including generative AI, LLMs, and transformer models.

Those who complain about hallucinations miss the point. A dispersion of outputs (including hallucinations) will unlock a whole new category of product design: probabilistic products.

This new era of industrialized bio--enabled by AI as well as an ongoing, foundational shift in biology from empirical science to more engineered approaches--will be the next industrial revolution in human history.

Highlights from the a16z Data and AI Forum, featuring founders building products across the spectrum of data and AI use cases.

In a world of retweets, upvotes, and right swipes, studies show that many of us still feel lonely. Thanks to generative AI, we potentially have a new solution: companion chatbots.

The generative AI boom is compute-bound and, as a result, a predominant factor driving the industry is simply the cost of training and inference. 

The emergence of generative AI could yield the largest transformation the financial services market has seen in decades.

There has recently been a vocal effort to pause or mitigate the advancement of major AI projects. Halting progress is not the solution: it would instead be better to push for models that are open-source, and in cases where model providers want their weights or data to be private, to secure them with privacy-preserving zero-knowledge proofs that are on-chain and fully auditable.