CAFII held its Annual End-of-Year Holiday Reception in Toronto. The event, hosted by Chubb Life, began with drinks and hors d’oeuvres and concluded with a speech from Price Waterhouse Coopers’ (PWC) Keegan Iles, who spoke about GenAI in insurance.
Mr. Iles began his talk by declaring that, though great progress has been made, GenAI is far beyond what we know it to be. Its capacities are greater than what we can currently imagine.
He then discussed the current climate around GenAI. In short, from its conception, GenAI has been and remains a tool for solving problems. This capability will only continue to grow, which matters for Canadian insurers because Canada has tremendous AI capabilities. He asked, with this information, where does this leave us in the hype cycle? Arguably, GenAI is at the peak; it is talked about or referenced nearly constantly. Being at the peak does not mean it is about to decline in prominence or importance; rather, it simply means that it is becoming ubiquitous within the zeitgeist of today. An example of this is the sheer quantity of money being funnelled into GenAI. It is estimated that $1 trillion will be spent supporting AI in the coming years.
Everyone is, indeed, talking about GenAI, but this does not always translate to implementation or adoption. Here are a few eye-opening statistics.
- 70% of CEOs believe GenAI will significantly change the way their companies create, deliver and capture value.
- 28% of CEOs expect GenAI to enhance performance and productivity by freeing capacity to focus on higher-value tasks.
- 78% of insurers are not prepared to implement AI properly.
- Under 20% of insurers are actually developing AI models, resulting in misalignment with customer expectations.
Despite CEOs’ claims, 66% of companies are still planning to implement GenAI despite their lack of readiness. So, whether folks are ready or not, GenAI is coming. Some insurers have been experimenting with AI to make it work towards operationalization. The following are the key areas insurers are focused on improving:
- Operation efficiency and knowledge management;
- Enhanced customer support and engagement;
- Risk assessment and underwriting.
GenAI’s superpower is its ability to consume large amounts of data and create new content or expand on existing content. The key, then, is to have a framework that connects these patterns to solve business challenges, particularly fraud detection. GenAI and its data consumption will also help track trends to better determine successful product design. GenAI’s uses are endless.
While there are myriad negative stories of GenAI, Mr. Iles concluded his presentation by encouraging people to focus on patterns instead of use cases. Early GenAI adoption was like trial and error; mistakes and errors were bound to happen, but this should not prevent people from working with or expecting GenAI to have an impact. He explained that engaging with shareholders is one of the main factors for success.