ChatGPT appears magical. It's certainly not infallible but it knows some of its limitations. The underlying technology will undoubtedly prove truly disruptive. Critical thinking, verification and editing will be ever more essential human skills to hone at the start of this new collaborative journey alongside AI.
In the near future, humans will still retain their superiority for sensemaking, generating insight and critical thinking around the priorities. But with ever expanding neural networks, AI will surely advance over the longer term in its ability to curate the trends, connect the dots, and perhaps uncover new innovation opportunity spaces.
When it comes to innovation portfolio design and management, it is imperative to recognise the dichotomy in the approaches, skills and metrics required to explore, test and develop new products, services, value propositions and business models; and to scale, optimise and exploit those that already exist within the organisation.
The disruptive potential of AI is perhaps unprecedented, and while the popular media focuses on a dystopian vision of the future, AI is augmenting our human capability perceptually, cognitively and physically, transforming everyday experiences as well as enabling a collaborative human and machine led transformation.
Businesses that hone their ability to design business experiments, as well as their expertise in data analytics, and incorporate experimentation as a necessary step in the process for approving new concepts, initiatives and ideas, are far better equipped to challenge convention and innovate with confidence.
