Why AI is not the problem
When it comes to adopting AI, opinions run the gamut – from those who anticipate exotic, life-altering benefits all the way to those who are convinced of cataclysmic results. But when it comes to transforming business with AI, we must recognize the nature of AI.
While we need a strategy for using it, AI should be seen as a technology – albeit transformative, like the internet or the printing press. Such powerful technology should be treated with care and used to advance the “good life” for people, societies and businesses.
Instead of having “good versus bad” debates, why not focus on how you can use AI to address real problems and add value? The insurance industry is poised to reap the benefits of this approach.
For insurers, McKinsey has shared
two staggering data points:
- Generative AI has the potential to add $50 billion to $70 billion in productivity impact, predominately in marketing and sales, customer operations and software engineering.
- Insurers who are considered “digital and AI leaders” are outperforming digital and AI laggards by more than six times in terms of total shareholder return (TSR). Further, the gap between leaders and laggards has nearly doubled over the last three years, and this trend is expected to continue. With every passing underwriting cycle, the gap may grow.