29/03/2026
AI adoption isn’t splitting businesses into “tech-savvy” and “anti-tech”.
It’s splitting them into those moving at different speeds inside the same company 😬
New research shows a big age-related gap in how people use AI at work.
Roughly half of under-35s are already using AI tools regularly. Many have had training. Most see AI as helpful for their jobs.
But around half of over-45s haven’t used AI at all.
Not because they don’t trust it or because they think it’s dangerous.
Mainly because it feels unfamiliar.
And that’s where the real risk sits ⚠️
When adoption is uneven, AI goes underground.
Some staff quietly use AI to move faster. Others avoid it completely.
Managers assume “we’re not really using AI yet”, when really, parts of the business already are.
That creates problems like inconsistent outputs, unclear data handling and no shared standards.
And of course, no confidence about what information is being fed into which tools.
The research also highlights something important: Countries and organisations with slower, more cautious adoption aren’t falling behind because of a lack of tools. They’re falling behind because of a lack of confidence and guidance 🤷♂️
AI doesn’t need to be everywhere to be useful. But it does need to be understood.
The businesses that get the most value won’t be the ones chasing every new AI feature.
They’ll be the ones that:
• Set clear boundaries
• Give people simple, practical training
• And focus on using AI to remove friction, not create anxiety
❓ Is AI in your business something you’ve consciously decided how to use, or is it being used quietly, inconsistently, and without a plan?