11/ Finally the Root Causes machine learning model identifies the strongest predictors of voting one way over another.

Immigration views are the strongest predictor of voting for Reform over Labour. But among 18–34-year-old voters, it's distrust in the establishment.

10/ Voters don't fit neatly into ideological boxes and sometimes combinations of views surprise. The Branches of Belief tool allows you to reveal tensions, new coalitions, and unexpected common ground.

9/ Not all issues are divisive. In the UK and elsewhere, people want radical healthcare reform. And more voters are cautiously optimistic about the impact of AI.

7/ You can also use the Political Landscapes tool to see where parties should position to meet voters. On immigration, the message is clear. Across the countries, and in the UK, more people think immigration is a burden. But you can see the risk to Labour's existing coalition too

6/ You can select which variables you're interested in a build your own clusters, and draw your own lessons
bit.ly/41Sn760

5/ These groups have different levels of education, but they have similar income distributions. What they really have in common is that mainstream politics has failed to deliver for them.

4/ Insurgent Left voters are economically pessimistic, have little faith that hard work pays off and have moderate trust in the establishment.
Insurgent Right voters are also economically pessimistic, with much lower trust in the establishment, but do believe hard work pays.

3/ We polled 12,000 people across 🇬🇧🇺🇸🇫🇷🇩🇪🇨🇦🇦🇺 and found five new clusters of parties that cut across the traditional left-right spectrum bit.ly/41Sn760

9/ if, like me, you like playing with filters and buttons and colours and axes - you can play with our data explorer!

institute.global/insights/tec...

8/ But many African nations have latent, growing compute talent pools waiting to be unleashed:

7/ 🔌 Energy is a dealbreaker: Nascent compute powers in regions like Sub-Saharan Africa continue to face constraints with basic enablers like grid reliability. Sub-Saharan Africa averages 87 power blackouts yearly vs. North America's 1.

6/ 🇬🇧 Planning is strangling progress in the UK: Excessive bureaucracy has throttled data-centre growth unnecessarily. It installed fewer servers in 2023 than 2022 and is building data centres slower than its peers:

5/ 📈 We’re seeing compute ‘consolidation’: Many countries are trending towards quality over quantity of servers, with Switzerland, the Netherlands and Ireland leading the way. Sub-Saharan Africa on the other hand are building more and more servers rather than consolidating existing stock

4/ 🇺🇸 the US juggernaut is powering on - it's announced more investment in data centre capacity than the rest of the world combined (excluding China, which doesn't reveal its data)

3/ last year we urged leaders to act to prevent the next digital divide; this year we find the digital divide is growing

2/ compute is the infrastructure needed to fuel scientific discovery, economic growth, and it’s increasingly shaping power. Fail to build data centres and you'll lose talent, startups, ideas and power to other countries.

huge question and we've covered some of this in our new report on compute today