Mid-to-long term: AI and implications for CFOs
CFOs discussed the opportunities and challenges associated with artificial intelligence (AI), particularly generative AI, which can generate tailor-made content (from business plans to investment policies). The discussion emphasized the need for action in implementing AI strategies and adapting to technological discontinuities. Key challenges and opportunities raised include:
Blockchain versus AI
Unlike blockchain, which was seen as a technology looking for use cases, AI, especially generative AI, was considered a transformative technology with substantial applications. Research into AI is consistent as it reveals three things. Firstly, the productivity benefits are large. Secondly, they are implemented quickly. Thirdly, it’s the least skilled and least experienced people who benefit the most from these technologies. While blockchain had a negative return on investment for many CFOs, AI holds much greater potential.
AI is top of mind for most boards and investors
CEOs, CTOs, and investors asked organizations and CFOs how they would transform their institutions using AI. One CFO admitted that just a year ago, there was only one question raised on AI during the quarterly investor call. Just three months later, it skyrocketed to 50 questions. Every CFO should have an innovation and AI strategy these days.
Risks of AI implementation
When discussing generative AI, the room is often divided between the pessimists and the optimists. When such disruptive technology comes along, the companies that are early adopters usually are not the same companies in the lead at the end. Concerns were raised about the pricing of AI products and the difficulty in determining input-output relationships, although we do know it is net positive and margin enhancing.
AI regulation in Europe
Stifling innovation is the real risk of regulation. The impact of GDPR privacy laws on innovation is a point of contention. While some argue that the regulation has significantly hindered innovation, others say research indicates only marginal impacts. Critics point out that social media and algorithms still gather extensive data about individuals, irrespective of GDPR compliance. The effectiveness and true influence of GDPR on innovation remain debatable. AI regulation needs to find a balance, not starve off innovation, and, at the same time, it must find a way to protect humanity. CFOs need to factor in AI just as they do factor in ESG regulation.