Artificial intelligence has a narrative problem. The public conversation around AI is increasingly being shaped by extremes: systems supposedly racing beyond human control, calls to slow development in the name of safety, escalating infrastructure costs, and an increasingly aggressive contest between companies such as OpenAI, Anthropic, Google and the rest of the industry.
At the same time, the commercial reality is becoming harder to ignore. Data centres are becoming more expensive, energy demands are rising, investors are asking tougher questions about returns, and businesses are beginning to separate genuine productivity gains from the promises that surrounded the first wave of generative AI.
In this episode of Innovating Trust, Steve Atkins looks at what happens when the narrative around a technology begins to move faster than the technology itself.
The discussion examines how media coverage, corporate positioning, safety debates, competitive pressure and investment expectations have combined to create an AI story that is becoming increasingly difficult for any single company to control. It also asks what happens when that story starts influencing regulation, investment decisions, customer expectations and public trust.
This is not an argument against AI, nor another attempt to predict whether artificial general intelligence is around the corner. It is a closer look at how powerful technology narratives are created, reinforced and eventually detached from the organisations that helped build them.
Because AI is not only being developed in laboratories and data centres. It is also being built in headlines, investor presentations, political debates and public perception.
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