Innovation

Europe has talent for AI, but lags behind: 56% of companies short of investment

The Accenture report photographs an Old Continent with great potential, but held back by a lack of strategic vision. In Italy, only 19% of companies have a mature data and artificial intelligence strategy

(Adobe Stock)

3' min read

3' min read

There is something paradoxical about Europe's technological destiny when it comes to artificial intelligence. It possesses the talent, has a robust industrial tradition, and is at the centre of the most advanced ethical reflections on artificial intelligence. Yet it struggles more than others to ground it. To make it bear fruit. In short, to put it into practice.

The latest confirmation comes from the study just published by Accenture: an analysis of 800 large European companies reveals that more than half (56%) have not yet implemented significant investments in Artificial Intelligence. The result? The technology gap (not only AI) is at the root of a productivity that today stands at 76% compared to their American counterparts. Thirty years ago, they were even.

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It is not just a question of technology, but of vision and systemic will. "At a time of increasing geopolitical uncertainties, finding a solution to the productivity gap in Europe has never been more crucial. Artificial intelligence represents a unique opportunity to reinvent the European economy and strengthen its competitiveness,' says Mauro Macchi, ceo of Accenture Emea. But his is more a call to arms than a simple diagnosis: "Companies are making progress, but they need to focus on cloud, modernisation of data architectures and skills training to scale faster. A coordinated industry strategy is crucial to avoid dispersion'.

The numbers offer a stark insight. If all large European companies above EUR 1 billion in turnover were to adopt AI capabilities similar to those of more advanced sectors, they could generate up to EUR 200 billion in additional revenue each year. The potential, in short, is there. But it lies dormant.

Italy, as often happens, is a microcosm of European contradictions. On the one hand, acceleration is there and it can be seen. "Italian companies are showing a decisive acceleration in adopting artificial intelligence to strengthen their competitiveness. Almost half have already scaled at least one Gen AI project and many are achieving returns beyond expectations,' observes Teodoro Lio, CEO of Accenture Italia. But there is still a long way to go: 'Only 19% of companies today have a truly mature data and AI strategy: this tells us that the potential for growth is still enormous. The future of Italian competitiveness is in our hands'.

Adding complexity to the European picture is the disparity between sectors. Automotive, defence and aerospace lead the transformation. But telecommunications and utilities - the backbones of critical infrastructure - lag behind. The risk is not only of slowing down, but also of surrendering sovereignty if it is true - as we seem to understand from the choices made by many governments (e.g. Saudi Arabia) - that AI, more than a technology, is today a geopolitical platform.

And then there is the huge, unresolved issue of SMEs. While in the United States the economy is driven by tech giants that invest billions in artificial intelligence, in Europe the productive fabric is made up of small and medium-sized enterprises, which are often too small to face the challenge of innovation alone. "Extending access to innovation even where it is less widespread today is the key to more sustainable, inclusive and resilient growth," Lio reiterates.

Accenture's report proposes concrete recipes: build solid data bases, train multidisciplinary teams, strengthen digital security, identify real use cases with clear Roi and make managers and workers literate in the conscious use of artificial intelligence. Not least because - another significant figure - 60% of European workers fear losing their jobs because of artificial intelligence, while 36% feel inadequate to use it.

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