I work at Andreessen Horowitz ('a16z'), a venture capital firm in Silicon Valley that invests in technology companies. I try to work out what's going on and what will happen next.
I write a blog here, do an annual presentation called 'mobile is eating the world', send out a popular weekly newsletter, talk too fast on podcasts and think aloud on Twitter.
This autumn I gave the keynote at Andreessen Horowitz's annual 'Tech Summit' conference, talking about the state of tech and what's likely to happen in the next decade: mobile, Google / Apple / Facebook / Amazon, innovation, machine learning, autonomous cars, mixed reality and crypto-currencies.
What winner-take-all effects could there be in autonomous cars? Are there network effects that would allow the top one or two companies to squeeze the rest out, as happened in smartphone or PC operating systems? Or might there be room for five or ten companies to compete indefinitely? And for what layers in the stack does victory give power in other layers?
People in tech and media have been saying that ‘content is king’ for a long time - perhaps since the VHS/Betamax battle of the early 1980s, and perhaps longer. Content and access to content was a strategic lever for technology. I’m not sure how much this is still true. Music and books don’t matter much to tech anymore, and TV probably won’t matter much either.
How do we get beyond 'that's a toy!' and 'but everything looked like a toy!', and try actually to understand whether a new technology might matter? What are valid lines of reasoning, and what statements are 'not even wrong'?
Looking forward 10 years, there are three primary technology that will change everything - cars, augmented reality and machine learning. But in the meantime, there ere huge changes around advertising, TV and retail that come from consumer behavior and industry dynamics, not tech, but will change just as much.
Electric and autonomy are rolling through the car industry, changing everything about it. But though they transform gasoline and car accidents, they could change a lot more besides - everything from cigarettes to parking. It's the second-order consequences that are hardest to see, but most interesting.
Smartphones are still evolving, but we're on the upper slopes of the S-Curve. This means innovation is slowing, but also that iOS and Android are now unassailable. It's time to focus on what's next - voice, machine learning and, especially, augmented reality.
The trap that some voice UIs fall into is that you pretend the users are talking to HAL 9000 when actually, you've just built a better IVR, and have no idea how to get from the IVR to HAL. How can we find the mental models for this to work - to bring less rather than more friction?
As we pass 2.5bn smartphones on earth and head towards 5bn, and mobile moves from creation to deployment, the questions change. What's the state of the smartphone, machine learning and 'GAFA', and what can we build as we stand on the shoulders of giants?
Machine learning means every image ever taken can be searched or analyzed and insight extracted, at massive scale. Every glossy magazine archive is now structured data, and so is every video feed. How does this change retail?
With Amazon's Echo, Snapchat Spectacles or the Apple Watch, we're unbundling not just components but apps, and especially pieces of apps. We take an input or an output from an app on a phone and move it to a new context. We remove friction, but we also remove choices.