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AI factories don't sell floor space. They produce tokens, the currency of intelligence, and every jump from Hopper to Vera Rubin packs in up to 4x the density. Training wants one giant site. Inference wants to be as close to you as physics allows. So the panel maps out what comes next: edge data centres of 5 to 50MW, handing work between your watch, your phone and the cloud at the lowest possible latency.

Everyone's racing to build gigawatt AI factories by 2035. What if the faster route is already plugged in? Swarms of agents need far more compute than a chat prompt ever did, and the scaling laws say demand isn't slowing. But in the UK, anything over 15MW can mean waiting until 2032 or later for a grid connection. So the panel makes a different case: smaller sites on existing power and fibre, linked into one national campus, live in less time than a single mega-build.

Why can't the UK make its own AI chips? David Sullivan argues that the biggest gap isn't chips, compute or electricity. It's trust. If people won't let AI near their finances, the best model in the world goes unused, and that's where the UK has a real chance to lead. Civo makes complexity a thing of the past.

Open source models are closing in on the frontier. But is running them the same as being sovereign? David Sullivan explains why true sovereignty means owning the whole model lifecycle, and why that's where prototypes stall before production. James Faure shows how distilling small, task-specific models can slash costs. Dr Rosemary Francis argues it's ridiculous to use the most expensive model for every task, and that your harness and engineering process matter more than which model sits at the top of the leaderboard.

AI agents are taking real actions in production. So when one misbehaves, who's accountable: the model provider or the company running it? David Sullivan explains why a regulated bank can't outsource accountability to an AI lab. James Faure shares how Clairo AI uses hypothesis testing and quality gates before any agent reaches production. Dr Rosemary Francis argues that guardrails which amount to a strongly worded letter won't survive. What agents need are genuine sandboxes and a limited blast radius.

Your data sits in the UK. But who has the final say over it? As AI raises the stakes on where data lives and who controls it, digital sovereignty has moved from policy debate to boardroom priority. At Civo Navigate London, Lord Paul Drayson, Simon Hansford, Richard Woodfield of DataVita, Dan Chester of VAST Data and Ed Barker of Havishams explore what sovereignty really means for governments, businesses and the infrastructure behind them, and what it will take for the UK to adopt AI without giving up control.

Your AI agent can read every log, metric and trace in seconds. It still can't tell you why things broke. At Civo Navigate London, James Herbert of groundcover explains why AI SRE agents need that context to travel the whole development lifecycle. He shows how agents embedded in the tools where software is built and run can move from isolated tasks to investigating and acting with the full picture.

The data centre was built for a different era. Racks drawing more power than entire rooms once did, heat that air alone can't carry away, and inference that needs to run close to the work are forcing a rethink from the ground up. In this fireside chat from Civo Navigate London, Civo CEO Mark Boost, Anthony Sarno and Josh Mesout explore how the demands of AI are reshaping the data centre and challenging traditional approaches to cloud infrastructure.

Everyone depends on open source. Far fewer agree on who should sustain it, what counts as "open", or what portability really means.

Your infrastructure lives everywhere. Your view of it shouldn't. Civo CTO Dinesh Majrekar gives the first look at the new Civo dashboard. It's built around one idea: however many regions, clusters or environments you run, managing them should feel like one cloud. Civo makes complexity a thing of the past.