German Workers Remain Split on AI as Corporate Adoption Surges Past 54%

German companies race to adopt AI, with 54.4% now using the technology, yet only 51% of employees view it positively. HR investment jumps to 48%, but cost savings often fall short due to data and skills gaps.

Only 51 percent of German employees view artificial intelligence’s impact on their daily work positively, according to a recent BCG study. The figure sits well below the global average of 57 percent, highlighting a trust gap that persists even as businesses race to embed the technology into their operations.

That skepticism has not slowed investment from human-resources departments. A separate survey finds 48 percent of German HR leaders are now spending on AI tools, up from 38 percent a year earlier. Nearly half of employers — 47 percent — have introduced internal AI policies, and 44 percent are funding upskilling programmes. Regulatory pressure from the EU AI Act is also pushing more companies to act.

The broader corporate landscape tells a similar story of rapid adoption. The Ifo Institute reported on June 5 that 54.4 percent of German companies now use AI-based software, a leap of more than 13 percentage points from about 41 percent in the prior year. Large firms lead the way, with 67.2 percent implementing AI solutions. Small businesses follow at 51.2 percent, while medium-sized enterprises trail at 47.2 percent.

By sector, manufacturing tops the list at 58.7 percent, closely followed by services at 56.2 percent. Retail is at 45 percent. The most dramatic surge, however, comes from construction. In just three years the share of building firms using AI jumped from roughly 7 percent to 39.8 percent — a pace unmatched by any other industry.

Companies apply the technology mainly in administration, data analysis, and programming. It is also regularly used for correspondence and targeted information search. About 73 percent of businesses buy paid external AI solutions, while 18.7 percent develop their own applications.

Yet the boom has created a new bottleneck: a shortage of AI skills. Small and medium-sized enterprises in particular struggle to find or train staff who can deploy AI productively and critically assess its output. If risks go unrecognised or capabilities are not built systematically, firms risk falling behind and growing more dependent on outside vendors.

To address the gap, the German Association for AI Transformation launched the Venture AI Academy on June 5. The initiative offers structured training for mid-sized companies, focusing on AI leadership, the EU AI Act, compliance, and cybersecurity.

Meanwhile, cost savings from AI often fall short of expectations. A global Bain study of 951 companies published on June 4 found that while roughly 37 percent of firms aimed for savings of more than 30 percent, almost 40 percent have realised less than 10 percent. The main obstacles: a lack of high-quality data and heavy reliance on manual oversight. Only 7 percent of companies let AI agents operate fully autonomously; in 38 percent of cases, every AI action still requires human approval. The research added that firms with a disciplined data strategy achieve the highest return on investment.