The test is ripple effects. Ask what changes in behaviour, trust, or economic structure if this technology becomes mainstream. Hype tends to focus on the technology itself. What actually matters is what it disrupts downstream — in jobs, in relationships, in how decisions get made. If the ripple effects are shallow, the shift is probably overstated.

Less about specific tools and more about categories of change. Automation of cognitive work, the restructuring of trust in institutions, shifts in where and how people work, and the redefinition of what counts as expertise. These are the currents. Specific technologies are just expressions of them — and the currents are already moving, whatever the headlines say.

Because we tend to frame technology as a set of features rather than a shift in the conditions of work. The question isn’t ‘will AI do my job?’ It’s ‘what does value, skill, and judgment look like when the tools change?’ That’s a harder, more human question — and it requires foresight, not just information.

Media coverage optimises for novelty and fear. Both distort. Novelty makes everything feel equally urgent; fear makes everything feel equally threatening. Neither helps organisations make good decisions. The more useful frame is timing: what is arriving now, what is still forming, and what is genuinely years away. Most media collapses all three into a single alarm.

Move from reaction to preparation. Reactive organisations wait until change is unavoidable, then scramble. Preparatory organisations read the signals early, build capacity ahead of demand, and make choices while they still have options. The technology isn’t the problem. The problem is the gap between when change becomes visible and when an organisation is ready to meet it.