Written by Lyndsey Williams

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97% of Finance Teams Have Adopted AI. Most Still Can’t Prove It’s Working.

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Finance Professionals Won’t Be Replaced by AI. But They Might Be Replaced by People Who Use It Better.

Jun 18, 2026

The debate around AI in finance often starts with the wrong question. Will AI replace finance professionals? A more useful question to ask, would be this: How can I as a finance professional use AI to become more effective in what I am already doing? The technology is already here. AI capabilities are now built into many of the tools finance teams use every day. The challenge is no longer access. It is adoption, expertise, and staying relevant with it.

AI Is Moving from Experimentation to Expectation

Over the past year, major technology providers have accelerated the rollout of AI assistants, copilots, and agents across workplace software. As these tools become more common, expectations will change. Tasks that once took hours may take minutes. Information that was difficult to access may become instantly available. That does not reduce the importance of finance professionals. It changes where they add value.

What AI Does Well and What Humans Still Do Better

AI is particularly effective at handling repetitive, structured tasks. Summarising reports, analysing large datasets, drafting communications, and identifying anomalies. Human judgement remains essential where context, ethics, and business understanding matter. Finance professionals still need to ask the right questions, challenge assumptions, and make decisions. The future of finance is not human versus machine. It is human with machine. According to PwC, jobs that incorporate AI are seeing higher productivity and wage growth, while demand for AI-related skills continues to increase across industries (PwC, 2025).

The Hidden Barrier to AI Success

Many organisations are eager to adopt AI tools but overlook a fundamental requirement. AI is only as effective as the data, processes and people behind it. Disconnected systems, inconsistent data, and manual workflows limit what AI can achieve. Reliable information, clear processes, and connected workflows create the foundation for successful AI adoption.

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Start Small, Learn Fast

Finance leaders do not need a perfect AI strategy before they begin. The most effective teams are experimenting with practical use cases, building confidence, and developing new habits. Because the risk is not that AI replaces finance professionals. It is that finance professionals who embrace AI create more value than those who do not.