Three questions AI needs to answer
Evaluation of use cases and business models will dominate 2026
Related reading
The economic question we forget to ask about AI
Forget the singularity and robot takeovers; what matters is who captures the value added
The jury is still out on AI in finance
Recruiting digital natives with critical thinking skills is going to be crucial
How can we tell good AI from bad?
More lessons from the jagged frontiers of new technology
The AI adoption race in the workplace is on
Sector companies are seeking to show that time saved on one-off tasks can translate into real-world business value
Humans must remain at the heart of the AI story
Innovation transforms the nature of work — our job is to guide that transition by mapping existing skills on to new roles
Is it a bubble?
Given that the growth of demand for AI is so unpredictable, there can be no doubt investor behaviour is speculative