One-Third of Finance Roles Require AI Skills, New Data Shows

One-third of finance roles now require AI skills, reflecting a rapid shift in how finance teams operate and deliver value. New data shows that organizations increasingly expect finance professionals to use Artificial Intelligence (AI) tools for reporting, analysis, and decision support, not just traditional accounting tasks. This growing demand highlights how AI is transforming finance roles into more strategic, data-driven positions that combine technical fluency with business insight. The result is a new standard for finance careers, where AI is no longer optional but essential.

AI Skills in Finance Roles Are Becoming the New Standard

Recent research by Datarails analyzed 5,000 finance job postings across CFOs, FP&A professionals, controllers, and accountants and found that 31% of roles now require AI or machine learning skills, up from 25% just a year earlier. This sharp increase highlights how quickly expectations are shifting across the finance function.

This means:

• AI is moving from a “nice-to-have” to a baseline requirement.

• Finance teams are expected to work with AI tools daily.

• Hiring criteria now reflect digital and analytical capabilities.

• Finance roles are being redesigned around AI.

Finance Jobs Requiring AI Skills Are Expanding Across Roles

The rise in finance jobs requiring AI skills is spreading across the entire CFO’s office, from FP&A to accounting and executive leadership. However, the pace of change varies by role, with some functions adopting AI more aggressively than others. This uneven adoption highlights how different parts of finance are improving at different speeds.

Among all roles, FP&A stands out as the most advanced in terms of AI integration. Approximately 43% of FP&A job postings now require AI-related skills, reflecting the increasing complexity of forecasting, planning, and performance analysis. These responsibilities naturally benefit from AI, which can process large datasets, identify patterns, and support faster decision-making. As FP&A becomes more central to business strategy, the demand for AI capabilities within this function continues to rise.

Accounting roles, on the other hand, are experiencing the fastest growth in AI demand.

• AI in accountant job postings jumped from 18% to 30% in just one year.

• There is an increasing use of automation and AI-enabled tools to improve efficiency, reduce manual work, and enhance accuracy. 

CFO Roles in Strategic AI Leadership

At the executive level, CFO roles show a more stable level of AI demand at 27%, but with deeper strategic expectations. Rather than focusing on execution, today’s CFO is expected to:

• Lead AI adoption across finance.

• Use AI to drive insights and strategy.

• Enable data-driven decision-making.

Why AI Is Transforming Finance Roles, Not Replacing Them?

One of the most common misconceptions about AI in finance is that it will eliminate jobs. In reality, the data shows a different trend, AI is transforming finance roles rather than replacing them. As automation takes over repetitive tasks, finance professionals are being pushed toward higher-value work that requires judgment, communication, and strategic thinking. This shift is already visible in job descriptions that emphasize business partnering, storytelling, and decision support.

Finance teams are moving away from purely transactional work and toward roles that influence business outcomes. Instead of spending time gathering and organizing data, professionals can focus on interpreting results and advising stakeholders. This evolution aligns with the broader transformation of the CFO’s office into a strategic function that drives business performance. In this context, AI acts as an enabler, not a replacement.

AI Tools in Finance Operations Are Driving Early Adoption

Most AI tools in finance operations are currently being used to improve efficiency rather than drive strategy. Teams are adopting AI in these common use cases:

• Automating reporting and financial commentary.

• Cleaning and structuring financial data.

• Enhancing Excel and spreadsheet workflows.

• Enabling conversational data access (e.g., ChatGPT, Copilot).

These use cases are relatively easy to implement and deliver immediate value, which explains why they are the most common starting point for AI adoption. AI is helping teams move faster, but not yet fundamentally changing decisions.

At the same time, conversational AI tools are changing how finance teams interact with data. Instead of manually filtering reports, professionals can now ask questions in natural language and receive instant answers. This shift reduces the time required to access insights and makes financial data more accessible across the organization.

AI-Enabled Finance Workflows Are Reshaping the CFO’s Office

As AI adoption increases, finance workflows are transforming how finance teams operate at a structural level. One of the most notable changes is the 35% rise in business partnering as a core requirement across finance roles. More than one in three job postings now emphasize the need for collaboration between finance and other business functions.

This shows a clear shift:

• Finance is becoming more cross-functional.

• Collaboration is now a core skill.

• AI supports (but does not replace) human judgment.

Finance Professionals AI Upskilling: The Growing Talent Gap

As demand increases, companies are struggling to keep up. According to Gartner, acquiring and developing AI and digital talent is now the top near-term challenge for CFOs. Hiring new talent alone is not enough, as the cost and competition for skilled professionals continue to rise. Instead, many organizations are focusing on upskilling their existing teams.

Key focus areas include:

• Learning AI tools and workflows.

• Understanding data analysis and automation.

• Developing hybrid finance and tech skills.

The future belongs to finance professionals who can combine domain expertise with AI capabilities.

The Future of Finance Roles Will Be Defined by AI and Strategy

Looking ahead, the future of finance careers will be shaped by the combination of AI capabilities and strategic thinking. As automation handles routine tasks, the value of finance professionals will increasingly come from their ability to interpret data, communicate insights, and guide decisions. This is already reflected in compensation trends, where value is concentrating at the top of the finance function while automation applies pressure to more transactional roles.

At the same time, traditional skills are not disappearing, but are rather evolving. Financial modeling, Excel proficiency, and domain expertise remain important, but they are now complemented by AI and data capabilities. The result is a more complex, hybrid skill set that blends finance, technology, and business strategy. Professionals who can navigate this combination will be best positioned to succeed.