What's Happening?
According to Accenture's inaugural AI Progress Barometer, European companies are showing signs of closing the AI readiness gap with North American firms. Over the past six months, European companies improved their AI readiness scores by 1.6 points, compared
to a 1.1-point improvement among North American firms. Despite this progress, North American companies still maintain a higher average AI readiness score, with 48.9 out of 100, compared to 43.1 for European companies. The Barometer highlights a growing disparity within Europe itself, with large European companies making significant strides, while smaller firms lag behind. This internal divide is more pronounced in Europe than in North America, raising concerns about the future competitiveness of smaller European businesses.
Why It's Important?
The findings from Accenture's report underscore the importance of AI readiness for maintaining competitive advantage in the global market. Large European companies are driving AI momentum by focusing on enterprise-wide reinvention, which includes rethinking operating models and strengthening data and technology foundations. However, the significant gap between large and smaller firms could hinder Europe's overall competitiveness. Smaller companies may miss out on opportunities unless they increase investment in AI capabilities. This divide could impact Europe's ability to leverage AI for productivity and growth, potentially affecting economic performance and innovation.
What's Next?
To address the divide, smaller European companies may need to increase their investment in AI capabilities and focus on building a skilled workforce and robust data infrastructure. Policymakers and industry leaders might consider initiatives to support smaller firms in their AI adoption journey. The speed of execution will be critical for Europe's future competitiveness, and sectors like insurance are already shifting from AI experimentation to execution at scale. This approach requires clean, integrated data and a properly trained workforce, which could serve as a model for other industries.
