Our relationship with Reid started over two decades ago, and deepened after we started out in venture in 2006. Today, we’re delighted to formally announce his Advisory Partner role at Mosaic.

It’s very tempting to imagine that AI turns everyone into a tool-builder - now everyone can just ask the model to make the software they need, and apps as we know them are dead. I think that misunderstands how most people think and where software actually comes from, and more importantly, it isn’t a path to change how companies actually work.

AI is in a supply crunch today, but what happens when we come out of it? How and where will supply, demand, price, capacity and capex get back into equilibrium? Today, model labs can name their price, but why won’t they end up as low-margin commodity infrastructure?

Many people would like to analyse which jobs, companies and industries are most exposed to AI, and assign scores, build charts, and map that against the progress of LLMs. I think this is mostly impossible: you don’t know how the jobs will change, you don’t know what else will change around this, and you can’t measure work like that anyway.

Cortea is building the AI-native platform for audit – and we’re delighted to partner with them

Twice a year, I produce a big presentation exploring macro and strategic trends in the tech industry. New in May 2026, ‘AI eats the world’.

Mosaic is a partner-only firm. The sourcing, pipeline management, deck analysis, and meeting prep that would traditionally fall to a junior investment team is now handled by partners working alongside purpose-built data infrastructure and AI-native workflows, because two years ago we made the bet that intelligent machines could do it better.

OpenAI has some big questions. It doesn’t have unique tech. It has a big user base, but with limited engagement and stickiness and no network effect. The incumbents have matched the tech and are leveraging their product and distribution. And a lot of the value and leverage will come from new experiences that haven’t been invented yet, and it can’t invent all of those itself. What’s the plan?

Parloa has announced a landmark Series D fundraise, led by General Catalyst at a $3B valuation – a huge milestone on the path to building a legendary company.

How far do LLMs give us a step change in how good a search and recommendation system can be? Do they let you build one without needing a vast user base of your own?

Twice a year, I produce a big presentation exploring macro and strategic trends in the tech industry. New in November 2025: ‘AI eats the world’.

With every platform shift, we want to measure the growth but we’re confused about what to measure. That’s partly a problem of data and definitions, but it’s really a question about what this is going to be.

Generative AI chatbots might be a life-changing transformation in the nature of computing, that can replace all software, but so far, most of its users only pick it up every week or two, and far fewer have made it part of their lives. Is that a time problem or a product problem?

We’re proud to back Manas AI to build the future of drug discovery

Why you need to rethink your pricing for the agentic age

We're excited to announce that Parloa has raised a $120M Series C, at a $1B valuation.

Software ate the world. Uber and Airbnb didn’t sell software - they disrupted and redefined markets. But what kind of disruption are we talking about ?

It matters that Apple’s new Siri will be late, and it matters more that Apple didn’t realise. Is it more than that?

Every week there’s a better AI model that gives better answers. But a lot of questions don’t have better answers, only ‘right’ answers, and these models can’t do that. So what does ‘better’ mean, how do we manage these things, and should we change what we expect from computers?

OpenAI’s Deep Research is built for me, and I can’t use it. It’s another amazing demo, until it breaks. But it breaks in really interesting ways.