The candle-maker

It’s just over 3 years since ChatGPT was released and LLMs were suddenly a dominant topic in organisational life and society more broadly. A tiny period of time, during which their capability has evolved at a fearsome rate and organisational culture has struggled, and largely failed, to keep up. Only this week I’ve noticed two large organisations I work with just reaching a point of issuing guidance about the use of AI chatbots in two particular aspects: one forbidding the entry of company information in employees’ personal AI chatbots and another banning the use of those AI chatbots that join online meetings to take notes (which I’ve always considered very sinister so I’m glad!).
As always, cultural change lags far behind the speed of technological change, throwing up many challenges and paradoxes. Another handy illustration from this week was a client of mine being simultaneously criticised by one cohort of their customers for using AI in their work, while another group of their customers was criticising them for not using AI enough. It’s the wild-west at the moment as we learn our way into the future. You need your wits about you, it’s a truly fascinating, complex time.
An analogy I have begun to use which helps me make sense of what I see happening in many places and to explore the topic with my clients is the following. Imagine a candle-making factory in the very early days of electricity becoming widely available. The owner of the factory employs six workers, one of whom has the role of holding up a candle so the other skilled craftsmen have enough light to perform their tasks. When the owner of the factory hears about electricity he concludes the biggest opportunity he has is to install electric lighting, thereby eliminating the need for one sixth of his workforce and reducing his costs accordingly. There are many bigger questions he doesn’t ask himself about the future of candles or the opportunity for wider change in his own process. And, from his somewhat remote ownership position he is not aware that most of his candle makers have secretly been bringing electric torches into the factory for a while as their way of helping themselves to do the job more easily. They have been engaged in ‘productivity secrecy’ for fear the owner would disapprove. They already have learned far more about what electricity can (and just as crucially can’t) do through their first-hand experience than the owner has gleaned through his own means.
I’m seeing this again and again. A scramble to set AI direction at the top of the organisation with many unconstrained (and sometimes dangerous) experiments going on at grass roots. I’m sure there is much else happening between these two positions, including the usual middle-management struggles of trying to bridge the gap and convey often non-sensical messages.
If you happen to read this blog and would be willing to share your own experiences or your own metaphors or you see ways of extending the candle-maker analogy I would love to hear from you: asher@seemoreconsulting.co.uk.
[This blog was entirely hand-crafted using the original AI (Asher Intelligence!) and there is nothing artificial about it. However, the picture was generated using Nano-Banana which yet again has astonished me with its speed and capability]










