Companies Are Rushing into AI, But Adoption Lags, KPMG Says
Poinews.com – Despite the rapid pace of AI adoption across industries, many businesses are still struggling to fully integrate the technology into their operations. At the VivaTech event in Paris, Mathieu Wallich-Petit, Head of Clients & Markets at KPMG France, pointed out that companies are rushing into AI but face significant hurdles in realizing its long-term benefits. His comments align with a recent KPMG report released in March, which found that 95% of its clients have developed AI strategies, yet only 64% report measurable outcomes from these initiatives. The gap between enthusiasm and execution highlights a critical challenge in the AI landscape.
Why AI Adoption Is Still Slow
Wallich-Petit emphasized that while companies are rushing into AI, the actual implementation remains inconsistent. “Our clients do embed a real strategy in AI, but in reality, on the ground, there is still a big lag,” he noted. This delay, he explained, stems from the technology’s exponential growth versus the linear pace of organizational adaptation. Many firms prioritize initial deployment over sustained integration, leading to fragmented results and underutilized potential. The KPMG executive also pointed out that 8% of its clients can quantify a clear return on investment, underscoring the need for more strategic, scalable approaches.
AI Beyond Automation: A Broader Transformation
The shift from AI as a tool for automation to a transformative force across business functions is becoming evident. In the insurance sector, Wallich-Petit observed a move from claims processing to end-to-end AI integration, spanning client scoring, pricing, and customer service. This evolution reflects a growing recognition that AI’s value extends beyond isolated applications. However, even with these advancements, only 10% of KPMG’s clients are deploying AI at scale, indicating that widespread adoption is still a work in progress.
“The magic recipe is very much to move from proof of concept, from piloting, to really embed into the process,” Wallich-Petit said. “That also means stronger governance, better data management, and more training for workers.”
He stressed that businesses must balance technological investment with workforce development, ensuring employees are equipped to leverage AI effectively. This people-centric approach, he argued, is vital for turning AI strategies into measurable success.
Global Challenges and Strategic Priorities
As companies are rushing into AI but grapple with implementation gaps, KPMG highlights the importance of aligning AI with broader business goals. The firm’s report underscores that AI’s potential is often constrained by siloed projects and a lack of cohesive governance. Wallich-Petit noted that while the technology itself is advancing rapidly, organizations must adapt at a similar pace to avoid falling behind. This includes fostering cross-functional collaboration and embedding AI into core business processes rather than treating it as an isolated innovation.
Additionally, the issue of AI sovereignty has gained urgency. With reliance on a few dominant model providers increasing, businesses are concerned about control over their data and algorithms. “The main theme is not to rely on only one model, but to have a diversity of models,” Wallich-Petit added. This concern is amplified by geopolitical factors that influence access to advanced AI tools, prompting companies to rethink their strategic dependencies.
Future Outlook and Industry Trends
Looking ahead, Wallich-Petit believes that the next phase of AI adoption will focus on scalability and sustainability. “Companies are rushing into AI but must ensure it’s not just a buzzword,” he said. The KPMG executive cited a global partnership with Anthropic, a U.S.-based AI firm, to integrate Claude into its client platform. This collaboration aims to enhance workforce capabilities, but it also faced challenges when Anthropic was restricted by the U.S. government from sharing certain models with foreign users.
The report suggests that businesses need to adopt a more holistic view of AI, combining technological innovation with strategic planning. As AI continues to reshape industries, the key to success will lie in addressing both technical and human factors. With 95% of clients already involved in AI initiatives, the focus now is on refining these efforts to ensure they deliver on their promises. For companies are rushing into AI but seeking tangible results, the path forward requires patience, investment, and a commitment to long-term transformation.
