An AI project?

AI, the world and France: who's prepared?

Cisco's AI Readiness Index surveyed over 8,000 companies in 30 countries to assess their readiness to adopt and exploit artificial intelligence.

The methodology is based on the analysis of 49 indicators divided into 6 pillars: AI strategy, infrastructure, data, talent, governance and corporate culture. An overall AI readiness score is assigned to each company.On this basis, Cisco has classified companies into 4 categories: Pioneers (fully ready), Hunters (moderately ready), Followers (not very ready) and Laggards (not ready).Key global results
  • Only 14% of companies worldwide are fully prepared to integrate AI.
  • 36% are moderately prepared, 32% have limited preparation and 18% are unprepared.
  • The best-prepared sectors are technology (28% Pioneers), financial services (17%) and professional services (16%).
  • Asia-Pacific leads the way with 20% of Pioneer companies, followed by Europe (12%) and the Americas (10%).

Results in France and Europe

    • Only 8% of European companies are fully prepared to integrate AI.
    • France is lagging behind, with only 4% of companies being "Pioneers", ranking second to last in Europe.
    • The European leaders are Sweden (22%), the UK (10%), Germany and Switzerland (7% each).

Pillar analysis in France

AI strategy

    • 59% of French companies have an AI strategy or are in the process of developing one.

Infrastructure

    • Only 17% of companies have networks that are flexible enough to meet the demands of AI.

Data

    • 21% of French companies have a concrete AI regulation. 53% have a "moderate" regulation.

Talents

    • 87% of companies plan to train or recruit AI specialists in the next 3 years.

Governance

    • 6% of companies are considered "Pioneers" in AI governance.

Corporate culture

    • 18% of companies have a "Pioneering" corporate culture, favorable to AI adoption.

Recommendations

The study highlights the need for French companies :
  • Adopt an AI strategy aligned with business objectives
  • Strengthen network and cloud infrastructures
  • Invest in data and data governance
  • Train teams in AI
  • Establish a culture of innovation and collaboration
    • The stakes are therefore high if we are not to fall behind the technology leaders in the AI race.

    [UPDATE] To find out more, discover our summary of the Artificial Intelligence Commission report

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