Imagine a world where accounting firms aren't just crunching numbers, but are armed with AI tools that give them an almost unfair advantage. That's the reality unfolding right now, and it's reshaping the entire landscape of professional services. The race is on for firms to harness the power of artificial intelligence to not only stay competitive but to outright dominate.
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Remember when Donald Trump's trade policies sent shockwaves through the global economy? Within weeks of that 'liberation day' in April, KPMG had already developed a tariff calculation model. This wasn't just a quick fix; they claim it saved their clients 'hundreds of millions of dollars.' Stephen Chase, KPMG's global head of AI and digital innovation, attributes this remarkable feat to their decade-long investment in AI. Being the first to offer that kind of crucial advice? That's the new competitive edge.
Accounting and consulting firms, especially the large, established ones, are facing fierce competition from agile, AI-native startups. To keep pace, they're deploying AI across their businesses. Think about it: AI can sift through massive datasets during audits to pinpoint high-risk transactions, and even draft complex consulting documents in minutes. This technology isn't just a tool; it's a fundamental shift in how these firms operate. But here's where it gets controversial... is this reliance on AI truly beneficial for clients, or is it primarily driven by the firms' desire to maximize profits?
Chase recounts how KPMG actually snatched an audit bid from a rival firm by showcasing its AI capabilities. The competitor planned to send a traditional 'army of people' to manage the audit transition, a costly and time-consuming approach. KPMG, however, demonstrated their AI audit platform, Clara, which could process the same volume of information faster and with fewer personnel. The result? 'They went from sceptical to KPMG client,' Chase proudly states. It highlights how AI isn't just about efficiency; it's about winning business.
And it's not just the giants who are benefiting. Smaller accounting firms are finding AI incredibly useful too. A study by Xero and the Centre for Economics and Business Research revealed that nearly half of UK firms with turnover up to £500 million reported a productivity boost from AI. This increase equates to reclaiming almost half of a 40-hour work week. That's a significant gain for smaller teams. This example highlights one crucial element: It is not only huge firms who can benefit from AI, but also smaller firms who can use it to streamline their processes.
According to a study by the Wharton School of the University of Pennsylvania, about half of finance and accounting professionals now use AI every day, compared to just 33 percent last year. The adoption rate is clearly on the rise. And this is the part most people miss... it's not just about using AI; it's about how you use it.
Dhiren Rawal, managing director at Alvarez & Marsal, emphasizes that the efficiency gains are real, but uneven, as expected with any new technology. He describes AI adoption as a series of small, practical changes that collectively lead to a genuine transformation in how people work. While the technology itself is readily available, the real differentiator lies in how effectively it's applied. Consultants are already using AI to test new scenarios, extract data, and draft complex materials in minutes instead of hours. In transaction advisory, AI tools can identify patterns in financial and operational data that would take days to uncover manually. In restructuring, they can classify and compare thousands of contracts within hours.
Rawal believes the biggest impact will come from depth, not scale. He notes that most firms are learning that the challenge isn't simply adopting AI, but integrating it safely and intelligently into complex workflows. This requires strengthening data foundations, establishing clear lines of accountability, and ensuring that people understand both the strengths and limitations of the tools they use. For example, AI can quickly generate reports, but human oversight is still needed to ensure accuracy and context.
KPMG's experiments within contained work groups show that AI productivity gains typically range from 10 to 15 percent, and up to 80 percent for specific tasks, according to Chase. That's a substantial improvement, but it's not uniform across the board.
For global firms operating through separate partnerships under a shared brand, the pace of AI adoption varies significantly by country. Christian Stender, global head of AI for tax and legal at KPMG International, admits that some member firms have an adoption rate of 100 percent, while others lag behind at around 70 percent. These differences may stem from cultural factors or varying levels of investment in technology. Partners also tend to use AI less frequently than employees. Chase jokes about urging his partners to 'lead from the front,' but acknowledges that their roles differ, leading to different usage patterns.
Jonathan Keane, strategy and consulting lead at Accenture, argues that simply aiming for productivity gains isn't enough. He believes that true gains only come when companies use AI to redesign processes and fundamentally rethink entire business domains. This requires clean, well-governed data, secure and interoperable systems, and people who understand how to work alongside AI. Ultimately, AI isn't a replacement for human expertise, but a tool to augment it.
For KPMG's Chase, the conversation has moved beyond productivity. He believes the key question now is whether firms are getting a return on their AI investments. He acknowledges the tremendous pressure to demonstrate ROI, stating that this is the 'year of ROI.' But is the focus on ROI overshadowing the potential for AI to create more value for clients in the long run? What are your thoughts? Are accounting firms truly leveraging AI for the benefit of their clients, or is it primarily a tool for boosting their own bottom lines? Share your perspective in the comments below!
