<abstract xmlns="http://www.w3.org/1999/xhtml">
<p>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.</p>
</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.

Artificial Intelligence in the German Economy: Nothing Works Without Digitisation and Data

Wirtschaftsdienst

This work is licensed under the Creative Commons Attribution 4.0 International License.

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

Artificial Intelligence (AI) holds immense potential for enhancing prosperity. However, the adoption of AI in German businesses remains limited, with only 19 %...

Artificial Intelligence in the German Economy: Nothing Works Without Digitisation and Data

Data publikacji: 28 sie 2023

Zakres stron: 525 - 529

DOI: https://doi.org/10.2478/wd-2023-0151

© 2023 Barbara Engels et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.