In the world of AI, the best CFOs provide business value through strategic resource allocation, responsible AI stewardship and organizational change leadership.
Participants emphasized that as AI transitions from a technology experiment to a powerful instrument of strategic business transformation, the main constraint for companies is their approach to governance, investment, innovation and organizational change. In this context, the CFO emerges as a critical enabler of enterprise AI adoption because of their significant influence across these areas.
In the world of AI, the best CFOs provide business value through strategic resource allocation, responsible AI stewardship and organizational change leadership. While traditional financial duties remain important, financial leaders are increasingly expected to help CEOs and the board clarify where to invest in AI so their organizations can harness its full value potential.
As our roundtable participants can attest, the broadening of the CFO role has implications not only for successful AI transformations but also for how companies develop and select future finance leaders.
Driving value through strategic resource allocation
At a time when AI generates myriad use cases and opportunities for investment, it can be hard to cut through the noise, making it easy for companies to adopt AI for the sake of AI. However, it is the CFO’s job to determine where to allocate the company’s resources around AI using a powerful combination of financial discipline and strategic openness.
To make that decision, CFOs must first answer the question, “What business problem are we trying to solve with AI?” The answer can determine which use cases best align with business priorities, which investments should be treated as experiments, which should be scaled and which should be stopped.
CFOs also need a strong understanding of business and AI to make clear connections between technology potential and commercial outcomes, such as better consumer insight, faster innovation, higher sales conversion, smarter pricing or market differentiation.
CFOs also need a strong understanding of business and AI to make clear connections between technology potential and commercial outcomes.
Of course, because AI is a rapidly evolving technology, financial leaders do not always have the luxury of accumulating all the evidence before acting. Roundtable participants acknowledged that a major challenge for CFOs is knowing when to move quickly and when to slow down and ask for more information to get a clearer picture of return on investment (ROI) and risk.
The best CFOs combine rationality with strategic investment and transformation acceleration. They determine how much uncertainty the company can tolerate and balance short-term ROI with investments that could create value over time.
As shrewd and direct communicators, they can clearly articulate opportunity costs to boards and CEOs and share why certain AI investments make sense — and others do not.
Building trust through responsible AI stewardship
The CFO plays a major role in building organizational trust in data and AI outputs by setting clear parameters and guardrails. They provide expert judgment as a check and balance on AI systems. In practice, this means:
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creating common definitions for financial and business metrics across systems
- ensuring consistency across data systems
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establishing clear data governance standards
- validating AI-generated reports and outputs
- protecting sensitive data
To do these tasks well, CFOs need strong data capabilities and a general business understanding of data architecture to recognize how data quality affects decision quality. They must also establish the limitations of AI-generated analysis and build governance mechanisms for data access and authorization.
Digital and AI literacy are also vital skill sets for CFOs, enabling them to ask the right questions of IT or technology vendors and make informed decisions. By understanding what AI models are capable of and how they interact with enterprise resource planning systems, business intelligence and cloud systems, CFOs can identify where user authorization and security risks may arise. In our experience, financial leaders who excel as AI stewards have a strong sense of responsibility, courage, curiosity and learning agility.
Leading AI integration through organizational change leadership
When AI tools are deployed without strong change management, people revert to old behaviors and technology integration is unsuccessful.
Of course, AI adoption is the responsibility of the entire C-suite team, not just the CFO. But finance leaders play a critical role as organizational change leaders, communicating to their team why AI matters and how it can serve as a powerful partner in work, reducing fear around its use and encouraging experimentation.
Strong CFOs also exert influence and build trust with other leaders to strengthen decision-making and AI integration across the organization.
With AI taking over manual and repetitive work such as reconciliations and bookkeeping as well as more complex analysis and cognitively demanding tasks, leaders and team members are free to devote more time to projects that require human judgment, deep engagement and moral accountability. But it’s up to CFOs — and other C-suite leaders — to articulate the importance of these higher-order skills within their business function and what role redesign could look like. Creating incentives for knowledge sharing and building AI literacy across the finance team are also part of the CFO’s new remit.
Strong CFOs also exert influence and build trust with other leaders to strengthen decision-making and AI integration across the organization. For example, they may collaborate with the chief information and chief technology officers on systems, data, infrastructure and vendor selection. CFOs also work closely with the board and shareholders to ensure they are aligned on risk appetite and investment logic.
Given how quickly the CFO role is changing in an AI world, companies must reevaluate how they develop and select future finance leaders.
Implications for CFO succession planning and development
As the scope of CFO capabilities such as financial control, compliance, business partnering and capital allocation expands, companies must recalibrate their succession planning and development.
CEOs and boards should assess their current planning approach by asking key questions such as:
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How can we build AI and digital fluency among CFO candidates? Financial leaders must know enough about AI and digital capabilities to make informed investment decisions around technology and communicate potential risks and upsides to the board and other stakeholders.
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How can we expose future CFOs to innovation and business transformation initiatives earlier in their careers? Giving candidates access to the company’s broader innovation and transformation agenda offers valuable learning opportunities for future finance leaders.
- How can we broaden CFO candidates’ experience across functions and business units? These experiences can help finance leaders understand the implications of certain strategic, operational and financial decisions on different areas of the organization so they can better evaluate the impact of AI and other transformations.
- How can we strengthen CFO candidates’ exposure to the C-suite, the board and external investors? The best CFOs provide value through their ability to build influence with a wide range of stakeholders, including the board, investment community, banks and rating agencies.
AI will not replace the CFO, but it will redefine what separates the best from the rest. To distinguish themselves, finance leaders must evolve from traditional financial stewards into AI-literate business leaders who can connect investments to business value and confidently lead their organizations through AI transformation.