GenAI is an accelerant. It speeds up decisions, output creation, and information flow, often without strengthening the system underneath. And many organisations are already running “hot”: highly optimised, tightly interconnected, little slack, and dependent on tacit knowledge.
So the real question isn’t just “How much can we automate?” It’s also “Where does speed strengthen the system – and where does speed increase fragility?”
One of the challenges about GenAI adoption is simply getting started: picking tools, running pilots, training staff, and rolling out a plan. Another major challenge is where and how GenAI gets introduced into already fragile, tightly coupled organisational systems.
I was watching a Veritasium video (The Strange Math That Predicts (Almost) Anything) about complex systems and the moment they reach a “critical state.” A forest can look calm and stable right up until a single spark turns it into a massive wildfire. Not because the spark was special but because the system was already primed for runaway behaviour.
In a general sense, many organisations today look just like that forest, in a critical state.
All organisations seem to be dealing with the same question – “Where do we even start with GenAI?”
But the context behind that question is very different. In large organisations, there are budgets, teams, governance committees, structured programs and projects. In small businesses, there’s you, a small team, and the pressure of everyday operations.
This article looks at why GenAI adoption isn’t just a scaled-down version of enterprise AI adoption – and why small businesses need a different, more streamlined approach.
I’ve seen it in so many organisations, that growing pile of Should-Do projects gathering dust while teams scramble through endless To-Do lists under the pressure of everyday work. The story is always the same: “We’d love to explore that new product”, “We should really improve our staff on-boarding”, “We could really improve our end-user experience if only we …..”. The constraint? Never enough time, budget, or human intellectual capital.
Generative AI is about to hand you back some of that capacity (and capability) – what you do with it will determine whether you’re leading your market in the future or wondering what happened to your competitive edge.
