In most organisations, outputs come not from the work of individuals but from the work of teams. In our new AI-powered and supported world, how do we build teams that include chatbots or robots. To be honest, I don't know - and I suspect that very few others do. Like people involved in ream-building I
We've seen reports that AI systems can 'hallucinate' at times …. they throw up information which they have generated rather than reported, and sometimes the generation is a little strange. Now it may not surprise you to lean that AI can also lie - tell you things that can be proven to be untrue. One
There seems to be two major views about the impact of the increasing use of AI on the productivity of organisations. One school of thought suggests that AI can streamline processes and systems, enhance knowledge and skills and generally have a positive impact on productivity. . The other ays that AI will simply reduce costs
It always seemed odd to me when many managers lost their secretaries and took over their own typing - simply because word processing had been invented. Most also organised their own diaries, scheduled their own meetings and did much of their own financial planning and budgeting using the new wonder - the spreadsheet. Now things look
It is amazing how so many sectors fail to observe, and adopt (or adapt) successful moves in other sectors. One of the most successful innovations (and productivity improvement moves) of my lifetime is the introduction of the containerswithin the logistics sector. We are so used to seeing ships laden with hundreds - or even thousands - of
We know that innovation often arises from an odd or unexpected coming together of people with disparate skills, different attitudes, different knowledge sets and perhaps different attitudes. There are even innovation approaches and techniques that aim to simulate (or stimulate) these 'comings together' amongst individuals. Yet over the last few years we have allowed workers to
Now is the time to reflect on the last year. What went well? What went badly? What have you learned? What should you have learned? What new skills have you developed? If you are not happy with your answers, you need to try harder in 2026. You have to do better. You can't expect others to
I've been using AI systems for a while now. I mainly use Chat GPT but I have tried a few others to see how they compare. My executive summary is that particular systems may be better at specific tasks but ChatGPT is the best all-rounder. However, these systems are not perfect. I have had problems with ChatGPT failing
There has been a tendency since forever for companies to hire new people that are like the existing people. This results partly from both conscious and unconscious bias but also from a 'reasoned' argument that like people will get on better so the new staff will not disrupt existing relationships snd cultures. This is still taking
In the UK (snd many other Western countries) companies find it difficult to plan further ahead than their next 3 month reporting period. If their reported performance drops, so does their share price - end their value. This makes long-term planning difficult for CEOs and Boards of Directors. This results in what is termed 'short-termism' Now things