A forecast by Briggs and Kondnani , also from 2023, estimates that up to 300 million full-time jobs in the US and Europe could be at risk. However, this requires AI to be fully deployed.
However, in the past have often led to job relocation rather than job loss.
What are the challenges of integrating AI into work processes?
The study “ Challenges in the use of artificial intelligence ” by the Federal Ministry for Economic Affairs and Energy has identified various factors:
Acceptance and trust: There is a need to strengthen trust in AI solutions slovenia number dataset and to make the advantages better known to the public. Germany is rated particularly critically internationally by the companies that took part in the study.
Cloud offerings and data access: Restricted access to data, especially external data, and data protection issues pose major challenges. Data protection-compliant cloud offerings with high security standards are seen as a solution to these problems.
Skilled workers and further training: A lack of AI specialists is seen as an obstacle to the effective use of AI. Despite the perceived deficits in Germany, this issue is only third on the list of priorities.
IT infrastructure: Improved IT infrastructure is critical for both companies that are already using AI and those that are not yet doing so.
Costs and financing: A particularly high hurdle for small or young companies is the high costs. These arise especially in the development and implementation of AI applications.
One of the biggest challenges is data protection . The study emphasizes the need for companies to further develop their internal competencies in dealing with data and to build their own AI development skills.