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Künstliche Intelligenz in der deutschen Wirtschaft: Ohne Digitalisierung und Daten geht nichts

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  • Engels Barbara

Abstract

Artificial Intelligence (AI) holds immense potential for enhancing prosperity. However, the adoption of AI in German businesses remains limited, with only 19 % of companies utilizing AI in 2022. The successful implementation of AI relies on two key prerequisites: a company’s digitalisation and data economy readiness. The Digitalisation Index reveals slow progress in digitalisation across sectors, indicating a need for increased efforts. Additionally, companies must enhance their data economy readiness to efficiently utilize data for AI applications. Failing to tap into the potential of AI may result in significant competitive disadvantages in the future.

Suggested Citation

  • Engels Barbara, 2023. "Künstliche Intelligenz in der deutschen Wirtschaft: Ohne Digitalisierung und Daten geht nichts," Wirtschaftsdienst, Sciendo, vol. 103(8), pages 525-529, August.
    • Handle: RePEc:vrs:wirtsc:v:103:y:2023:i:8:p:525-529:n:10
    DOI: 10.2478/wd-2023-0151
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    JEL classification:

    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • Q55 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Technological Innovation

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