In brief: AI usage in German companies is rising significantly, but the focus is shifting from innovation to cost-effectiveness – governance and prioritization of AI investments are becoming a core task of corporate leadership.
New survey data shows that AI has moved from an experimental field to an everyday tool in German companies. As a result, the central question is shifting from technology to cost-effectiveness – and to management’s governance responsibility.
According to the TE Connectivity Industrial Technology Index 2026, around 80 percent of the German industrial companies surveyed use AI at least to some extent, with 37 percent already using it extensively across multiple areas – up from just 15 percent the previous year. The ifo Business Survey from May 2026 confirms the trend across industries: 54.5 percent of German companies now use AI in their business processes, compared with 40.9 percent the previous year. AI is used primarily in administration, data analysis, programming, correspondence, information research, planning, controlling, and customer communication.
For the first time since the survey began, financial goals have overtaken product innovation as executives’ top priority: 67 percent of German executives cite profit growth as a strategic priority, compared with 58 percent globally. As a result, the view of AI is shifting from a speculative technology investment to a business investment decision with a measurable contribution to business success. As key success indicators, 53 percent of executives cite cost savings and 50 percent cite return on investment.
At the same time, obstacles remain: 47 percent of German respondents see high implementation and integration costs as a hurdle (36 percent globally), and 45 percent cite regulatory and compliance-related challenges (35 percent globally). For CEOs, this means increasingly managing AI like an investment portfolio: not every technically feasible application is automatically strategically relevant — what matters is its measurable contribution to efficiency, data utilization, or defined business goals.
The study also points to differing evaluation perspectives within organizations: engineers more often see the benefit of AI in long-term strategic improvements, while executives focus more strongly on operational improvements. For corporate leadership, AI is thus becoming a question of prioritization – which applications contribute to business goals, what prerequisites must be met for scaling, and which metrics are used to measure success.
Source: www.it-daily.net · Published August 7, 2026
Lumi AI News — AI-assisted curation pursuant to Art. 50 EU AI Act. Paraphrasing and classification by Lumi News Pipeline v1.8.3.