In this episode, Laura Fu and Chad McAllister discuss the evolving role of CFOs in the context of AI adoption within organizations. They explore the disconnect between the boardroom discussions about AI and the actual implementation challenges faced by CFOs. The conversation highlights the importance of data infrastructure, the need for a multi-year commitment to AI initiatives, and the necessity of aligning AI strategies with overall business goals. They also touch on the financial implications of AI investments and the role of advisors in shaping effective AI strategies.

Takeaways

CFOs are often disconnected from the practical applications of AI.

There is a significant divide between what CFOs say about AI and what they actually implement.

AI mandates are prevalent in boardrooms, but practical use cases are lacking.

Data infrastructure is crucial for successful AI implementation.

CFOs need to engage with CIOs about long-term data strategies.

AI should be viewed as a multi-year journey, not a quick fix.

Forecasting AI's value creation is essential for CFOs.

Investments in AI should be treated with the same diligence as M&A activities.

Advisors can play a key role in guiding AI strategy for organizations.

Understanding the difference between CapEx and OpEx is important for AI budgeting.

Keywords

CFO, AI, finance, data infrastructure, value creation, boardroom, investment, strategy, technology, business growth