Only 28% are reassessing the talent profiles needed for an AI-driven finance workforce.AI is becoming a bigger part of finance departments, but companies are finding that adopting the technology is easier than figuring out how people, data and controls should work around it.A KPMG report found that 76 per cent of organisations are already using AI in financial planning. Yet the report suggests that simply adding AI tools will not be enough to create an advantage. The bigger gains are expected to come from using AI to support better financial decisions, while building the systems and governance needed to manage its growing role."Competitive advantage will increasingly belong to organizations that align their finance operating model around AI -- and can sustain that alignment as AI becomes more capable, more autonomous and more deeply embedded in everyday decision-making."The shift is also exposing a gap in how companies are preparing their finance teams.While 38 per cent of organisations are upskilling finance and internal audit employees for AI-enabled processes, only 28 per cent are hiring for new skill sets. An identical 28 per cent are reassessing the talent profiles they will need as AI becomes more deeply integrated into finance.In other words, most organisations are teaching their existing workforce to use AI rather than redesigning the workforce around human-AI collaboration.That transition is also keeping humans firmly in the loop. KPMG found that 33 per cent of organisations are increasing human oversight specifically because of concerns linked to AI.This remains particularly important in finance, where decisions can involve regulatory requirements and professional judgement. Human checks, the report said, can make AI-driven outputs more reliable while helping organisations build confidence in the technology.Better AI needs better dataEven as companies expand AI use, the quality of the underlying data remains a major constraint.About 36 per cent of organisations identified better data quality, integration and interoperability between systems as the biggest opportunity to get more value from AI in finance.The challenge, therefore, is not simply having more AI tools. Finance teams also need to understand which data can be trusted, how AI-generated outputs should be interpreted and how those findings can be translated into decisions."Data fluency is emerging as the most critical capability need: the ability to assess data quality, interpret outputs and communicate findings in terms the business can act on."The report's broader takeaway is that AI adoption alone may not determine which finance teams benefit most. Companies that combine the technology with stronger governance, appropriate talent and reliable data are likely to be better placed as AI becomes more autonomous.