This weekend in the south of the UK it has been properly hot. It has been the kind of heat that can be divisive: it is too hot, I am staying indoors, it’s all climate change, quick get to the supermarket before they run out of salad for the barbecue. And what a scrum that was, fighting over who had the last hot dog rolls. We are rarely happy for long, it seems.
Last week, of course, was the Credit Connect Think Tank and, although the weather was not quite as uncomfortable as today, there was, I felt, another divide starting to build there too.
What was clear was how much, in only the last six months, the conversation on AI has moved on to a higher level of sophistication. Gone was much of the discussion around hallucinations, business cases and whether firms should wait and see. Instead, the conversation had moved towards practical, in-job use cases and how AI can change work on the desktop, helping people get more done.
It was striking that there now appears to be a growing divide between those who are adopting fast, experimenting and accelerating their knowledge, and those still standing back. Is a culture of AI haves and have-nots starting to form?
With new agentic tools being released, they are not just powerful, but becoming so easy to use and very relevant to office users. That it is seems to be, is what matters.
Recently, I was looking at my own use cases, and how it is not just automating tasks, but more fundamentally changing the way I work. It is new capability.
For example, rather than manually logging and documenting every change, I now simply ask the system to produce a dump of the relevant information, put that into AI, and query it to create the list I need.
Less work, incredible time savings, and allows me to get done the things I know I should do, but on a sunny day like today would probably put off for a snooze in the garden.
I know this is a small example, but it points to something much bigger. These tools are useful, multipliers of effort. They are an extra pair of hands, not in some distant, futuristic way, but in day-to-day office work.
Even with all the talk around frontier models and escalating AI costs, even if the tools stopped improving tomorrow, what exists today is already transformational. And we can always fall back on open-source or local models and still get 80% of the way there. After all, not every task is complicated. Most are not.
The limiting factor seems to be no longer just the technology. It is quickly becoming imagination. The question is not simply “what can the model do?” It is “what can we think to ask it to do?”
And, once we start to understand that capability, we then start to imagine new workflows, new services and new ways of working. Again, this was evident last week. AI may not only reduce cost, it may improve service.
Extra tasks and touches are often seen as nice to have, the preserve of high-end firms, large organisations and premium service environments. These are, of course, expensive: high-end finished presentations, personalised communications, polished outputs. It is these finishing touches that often provide the delight in customer experience.
However, with the cost of these now be falling dramatically through automation, this may mean better service, greater personalisation and it is becoming available to many more organisations, not just those with the largest budgets. It is less a question of cost and capital, and more a question of imagination, at least for now.
This is the divide that is emerging. AI is becoming part of how people work, not just a tool to occasionally try. New possibilities are starting to open up.
That was the exciting part of last week’s conversation. People are starting to think this way. Not just talking about AI, but starting to understand how it changes work, service and delivery.
That feels like something worth taking back to the office.
Anyway, having sat in the garden, iced drink in hand, I think my AI-assisted job may now be done. So it is back to the office on what is proving to be a very hot Monday.
Have a great week, everyone.
