The gap is real. Act now.
The person using AI to do your job will."
The divide cuts across every field and every function: between people using AI well and people who are not, between organisations training everyone and those training only engineers, between schools preparing students to participate in AI and schools preparing them to consume it. The proficient get more done, get hired first, and get let go last. The gap compounds; most institutions are moving too slowly to close it.
Act now; policy is moving too slowly. Each path below has concrete actions for this week: questions to raise, things to ask, and people to bring into the conversation.
Schools & Universities
What to ask your institution, what to advocate for in policy, and what students need to learn to compete on the same terms as their AI-proficient peers.
What you can do →Companies & Workplaces
Questions to raise with HR and management, your rights when AI is used in employment decisions, and what genuine AI training looks like.
What you can do →Governments & Policy
Where existing law falls short on AI literacy, what binding models exist globally, and the specific gaps your jurisdiction should close.
What you can do →Citizens
How to build your own AI proficiency now, your rights when AI is used in decisions about you, and how to push for structural change.
What you can do →Open resources
Everything on this site, research, analysis, and index scores, is public and freely shareable. The research archive contains primary source material for every claim made here, organised by policy, education, and public discourse. If you have found an error, know of a policy not yet covered, or have research worth looking at, submit it here. All submissions are read.