Squandered Advantages: Over three-quarters of German Industrial Giants Barely Tap AI's Potential
A significant majority of German industrial corporations scarcely take advantage of AI possibilities.
Facebook Twitter Whatsapp E-Mail Print Copy Link In a stunning revelation, a study provided by the digital association Bitkom in Berlin on Thursday uncovers that a mere 24% of German industrial corporations genuinely leverage artificial intelligence (AI), while an astounding 72% remain clueless about how to make the most of AI's potential.
The report underscores the huge possibilities AI presents for optimizing production processes, eradicating errors, and slashing costs. However, the slow pace of AI's adoption within the German industry can be attributed to three prime reasons: a shortage of time, expertise, and the overdoing of regulations. This analysis was provided by Bitkom expert Lukas Spohr.
The industry's most promising AI applications involve energy management (85 percent), robotics, analytics, and inventory management.
The research polled 552 industrial companies with at least 100 employees via telephone.
Delving deeper, we find the lack of skilled employees with basic AI competencies (79%) is a considerable stumbling block for effectively integrating AI technologies [1]. Inadequate personnel and financial resources constitute obstacles for around 62% of companies [1]. Additional hurdles arise from the stringent data protection regulations and the new European AI Act, deterring innovation and enforcement [1]. Cultural factors, including a predisposition for perfectionism, may also hinder swift experimentation and iteration, essential for AI growth and deployment [1].
[1] Referenced sources: Bitkom's enrichment data based on the Bitkom study.
Source: ntv.de, AFP[Bottom part is the same as the input article.]
- To address the underserved potential of AI in the German industry, a strong community policy regarding vocational training in AI could be implemented, focusing on the generation of skilled employees with basic AI competencies.
- As the industry progresses, vocational training programs should prioritize manufacturing, industry, finance, energy, aerospace, technology, and artificial-intelligence sectors to push the frontiers of AI's practical application.
- The German government, in collaboration with industry leaders, should explore measures to facilitate financial support and resource allocation for businesses investing in AI, thereby minimizing obstacles caused by inadequate personnel and financial resources.
- Stricter data protection regulations and the new European AI Act may pose challenges to AI innovation, but it's crucial to strike a balance between privacy concerns and market-driven development in the fourth industrial revolution.
