Artificial intelligence is no longer a distant trend. It is now a real leadership issue.

For CEOs, CFOs, finance directors, and senior managers, the question is changing. It is no longer, “Will AI affect finance?” Instead, the key question is, “How should leaders use AI in a responsible and effective way?”

For finance leaders, AI is not just about automation. It is also about better decisions, stronger governance, and smarter use of data.

AI Is Becoming a Finance Leadership Issue

AI can change many parts of the finance function. For example, it can support forecasting, FP&A, risk management, internal controls, reporting, investment analysis, and strategic planning.

However, technology alone does not create value. Leaders create value when they connect technology with sound business judgment.

That is why AI matters for finance leaders. They do not need to become engineers. Rather, they need to understand where AI can help, where it can fail, and how it should fit into the wider business.

Insights from an Oxford Saïd Executive Education Discussion

I recently joined a focus group related to AI and finance education at Oxford Saïd Business School Executive Education.

The session included a small group of practitioners from finance, marketing, and financial services backgrounds. In addition, members of the Saïd Business School team joined the discussion.

The conversation was both practical and thought-provoking. It did not focus only on technology. Instead, it explored a deeper question: what should senior business leaders actually learn about AI?

The Target Audience Matters

One key point stood out clearly. An AI programme must define its target audience from the beginning.

A course for CEOs and CFOs should not look the same as a course for CTOs, engineers, or data scientists. Each group needs something different.

For instance, technical specialists may need to understand models, systems, and tools in detail. Senior executives, however, need a different skill set. They need to understand value, risk, governance, and change.

For finance leaders, this distinction is especially important.

AI for Finance Is Not a Generic Technology Course

A course on AI for finance leaders should not be a general introduction to artificial intelligence.

Finance leaders will expect clear links to accounting, corporate finance, governance, reporting, risk, and decision-making. They will also want to know how AI applies to real finance problems.

As a result, curriculum design becomes more difficult. Yet this also makes the programme more valuable.

A strong executive AI course must avoid two traps. First, it should not become too technical for business leaders. Second, it should not become so general that it loses practical relevance.

What Makes Oxford Different?

The discussion also raised an important question. What makes an Oxford executive education experience different from other business school offerings?

In my view, Oxford’s strength is not only in knowledge delivery. It also lies in the way it frames complex issues.

AI adoption in finance is not just a technology topic. It is also a leadership issue. Moreover, it involves governance, ethics, organisation, strategy, and trust.

This broader view matters. Finance leaders need more than tools. They need judgment.

The New Role of Finance Leaders

AI can improve speed and efficiency. However, its greater value may come from better decision-making.

That value does not appear automatically. Therefore, leaders must understand both the opportunities and the limits of AI.

Blind adoption is risky. On the other hand, excessive caution is also risky.

The future finance leader will need a more hybrid skill set. Traditional accounting and finance knowledge will remain essential. At the same time, it must sit alongside data awareness, technology literacy, strategic thinking, and change leadership.

From Producing Numbers to Explaining the Future

For accounting and finance professionals, this shift creates both pressure and opportunity.

AI may automate some routine tasks. However, it also increases the value of interpretation, judgment, governance, and communication.

As the finance function evolves, its role will continue to change. It will move further away from simply producing numbers. Instead, it will move closer to explaining what those numbers mean for the future of the business.

This is where finance leaders can add real value.

Final Thoughts

Reflecting on the session, I was reminded that AI education for executives should not be treated as a generic technology course.

For CEOs, CFOs, and finance leaders, AI must connect to real management questions. For example, how should companies allocate resources? How should they evaluate investment? How should they manage risk? How should they build trust? And how should they lead transformation?

As a Certified Public Accountant and finance professional with an Oxford Executive MBA background, I believe this topic will become central to the future of corporate finance and accounting.

Going forward, I will continue to share insights on how AI, finance, governance, and executive decision-making connect in practice.