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a16z
The future of the web is the history of YouTube
By Anish Acharya @illscience
Full piece in the a16z newsletter


Anish Acharya2 hours ago
The world is short software.
Entire categories of software were never built, simply because of insufficient ROI, high costs, or because the preferences of ~20 million developers dictate the products we all use.
But now it’s easy to prototype, build, and ship entirely novel applications, using new app-generation tools. We’re about to see what the long tail is capable of.
You might liken this to what YouTube did in 2006. Before YouTube, people would’ve looked at the ~100 cable channels available and thought “this is enough.” But YouTube proved that there were entire niches of entertainment that creators could build a business around.
The same thing is happening now for software. Until large models, it wasn't possible for a passionate non-technical creator to build a business around software. Even as storage, CPU, and bandwidth costs came down, software engineering costs remained high.
Now we have new app-generation tooling, which dramatically collapses the cost (and the risk) involved with shipping new software. As a result, we’re beginning to see the first fully AI-native creators come to market.
Welcome to the YouTube moment for software.
Read more on Substack.

10.04K
Manual labor is a bottleneck in data center construction.
Raghu Raghuram says that's an incentive for new robots to exist. We'll develop robots to build the data centers behind AI.
Infrastructure is downstream of innovation: a single use case motivates a breakthrough, and the solution proliferates.
@RaghuRaghuram

a16z23 hours ago
Raghu Raghuram: AI, Robotics, and the Rebirth of Infrastructure
In this episode, a16z's newest General Partner Raghu Raghuram sits down with Ben Horowitz, Martin Casado, and David George to reflect on the early internet wars with Microsoft, how Netscape’s browser battles shaped a generation of founders, and the inside story of VMware’s $1.3B purchase of Nicira, which became one of the most successful tech acquisitions in history.
They discuss how VMware scaled from tens of millions to over $13 billion in revenue, what it took to outlast the cloud revolution, and why AI is now triggering the biggest infrastructure reset since virtualization. Raghu shares his vision for the next decade, from data center robotics and energy-aware compute to how AI is reshaping both startups and giants alike.
00:00 Meeting Ben and Marc at Netscape
04:58 Good Product Manager/Bad Product Manager
09:42 Integrating Nicira and VMware’s teams
12:23 The $1.3B deal that returned billions
15:07 Scaling VMware from $40M to $13B
20:12 Joining a16z: rebuilding compute for the AI era
24:13 Robotics, data centers, and physical AI
26:07 The vertical future of robotics
28:11 Founders facing enterprise-scale problems on day one
@RaghuRaghuram @bhorowitz @DavidGeorge83 @martin_casado
35.78K
Raghu Raghuram: AI, Robotics, and the Rebirth of Infrastructure
In this episode, a16z's newest General Partner Raghu Raghuram sits down with Ben Horowitz, Martin Casado, and David George to reflect on the early internet wars with Microsoft, how Netscape’s browser battles shaped a generation of founders, and the inside story of VMware’s $1.3B purchase of Nicira, which became one of the most successful tech acquisitions in history.
They discuss how VMware scaled from tens of millions to over $13 billion in revenue, what it took to outlast the cloud revolution, and why AI is now triggering the biggest infrastructure reset since virtualization. Raghu shares his vision for the next decade, from data center robotics and energy-aware compute to how AI is reshaping both startups and giants alike.
00:00 Meeting Ben and Marc at Netscape
04:58 Good Product Manager/Bad Product Manager
09:42 Integrating Nicira and VMware’s teams
12:23 The $1.3B deal that returned billions
15:07 Scaling VMware from $40M to $13B
20:12 Joining a16z: rebuilding compute for the AI era
24:13 Robotics, data centers, and physical AI
26:07 The vertical future of robotics
28:11 Founders facing enterprise-scale problems on day one
@RaghuRaghuram @bhorowitz @DavidGeorge83 @martin_casado
78.89K
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