AI at the workplace 2026 refers to the productive use of AI systems such as ChatGPT, Microsoft Copilot, or Google Gemini by companies and their employees — from customer communication to software development. This use has grown measurably: 41 percent of German companies with 20+ employees now actively use AI, up from just 17 percent in 2025, according to the digital association Bitkom on March 11, 2026. Usage is also growing directly at the workplace: 45 percent of employees in Germany use AI with their employer's knowledge, and a further 10 percent do so without their employer's knowledge, according to the Bitkom study report "Artificial Intelligence in Germany," based on a survey conducted in 2025.
- 41% of German companies with 20+ employees actively use AI (2026) — up from 17% in 2025 (Bitkom, March 11, 2026).
- 45% of employees in Germany use AI with their employer's knowledge, and an additional 10% without their employer's knowledge (Bitkom study report "Artificial Intelligence in Germany," 2025 survey).
- In the US, 39% of employed workers used AI tools on the job — college graduates (58.7%) more than twice as often as non-graduates (22.9%) (Federal Reserve Bank of New York, April 14, 2026).
- Productivity gains vary widely by task: 26% in software development, 14 to 15% in customer service (Stanford HAI AI Index 2026, April 13, 2026).
- 70% of employees in Germany receive no opportunity for AI training from their employer (Bitkom study report, 2025 survey).
How many companies in Germany use AI in 2026?
41 percent of German companies with 20+ employees actively use AI in 2026 — up from just 17 percent in 2025, according to the digital association Bitkom on March 11, 2026. A further 48 percent are planning or discussing its use, while only 11 percent are not engaging with the topic at all. The trend holds across multiple survey waves: an earlier Bitkom survey under comparable conditions had already measured 36 percent active use in summer 2025, up from 20 percent in summer 2024 — evidence of how quickly AI is moving from experiment to standard tool. Among companies already using AI, 77 percent report an improved competitive position and 52 percent report a measurable contribution to business success; 66 percent plan to expand their use further.
How many employees use AI at the workplace — and for what?
45 percent of employees in Germany use AI at the workplace with their employer's knowledge, and a further 10 percent do so without their employer's knowledge, according to the Bitkom study report "Artificial Intelligence in Germany," based on a survey of 604 companies and 1,005 individuals conducted in 2025. Among companies already using AI, usage is concentrated in a few areas: AI is most commonly used in customer contact, followed at a clear distance by marketing and communication. On average, a company deploys just two AI applications in parallel — a quarter make do with only a single one.
| Use case (companies using AI) | Share |
|---|---|
| Customer contact | 88% |
| Marketing and communication | 57% |
| Research and development | 21% |
| Production processes | 20% |
| Controlling and accounting | 17% |
| HR department | 14% |
AI is used far less often in core corporate functions: in management, legal or tax departments, and sales, only 5 percent of AI users deploy it, according to the Bitkom study report (2025 survey), and in the IT department the figure is just 2 percent. The potential for broader use is thus far from exhausted.
Which AI tools do German companies use most often?
OpenAI's ChatGPT dominates by a clear margin: 70 percent of companies using generative AI use it, ahead of Microsoft Copilot at 28 percent and Google Gemini at 22 percent, according to the Bitkom study report "Artificial Intelligence in Germany" (2025 survey). European providers such as Mistral see barely any use so far, at just 0.2 percent.
How much productivity does AI at the workplace really deliver?
According to the Stanford HAI AI Index 2026, published on April 13, 2026, generative AI boosts productivity to very different degrees depending on the task — from 14 to 15 percent in customer service to 26 percent in software development. According to the report, marketing teams benefit the most, with roughly 50 percent higher output, while tasks involving a high share of complex reasoning show markedly smaller effects. At the organizational level, McKinsey confirms this trend: 88 percent of companies now use AI in at least one business function, according to McKinsey's "State of AI" survey (November 2025). Even so, actual value creation remains rare: only around 6 percent of companies qualify as "AI High Performers" with a significant, measurable EBIT contribution from AI.
Concerns and limits: what employees see critically about AI
Alongside the opportunities, many employees also see risks. 66 percent of employed workers in Germany are unsure where their data goes when using AI, 64 percent fear less human contact, and 57 percent see it as unresolved who is responsible in case of an error, according to the Bitkom study report "Artificial Intelligence in Germany" (2025 survey). 22 percent also consider it possible that their job could be eliminated by AI, and 14 percent even believe that AI could replace them entirely in their profession. In the US, many employed workers share this concern: 62 percent expect unemployment to rise over the next twelve months because of AI, according to the Federal Reserve Bank of New York (April 14, 2026).
Is AI replacing jobs in Germany?
Not predominantly: 67 percent of German companies expect no impact of AI on their headcount, according to the Bitkom study report "Artificial Intelligence in Germany" (2025 survey), 20 percent expect a decline, and 7 percent even expect an increase. 31 percent of companies also see AI as a lever against the shortage of skilled workers.
How large is the AI training gap among employees?
70 percent of employed workers in Germany receive no opportunity from their employer to pursue professional AI training, according to the Bitkom study report "Artificial Intelligence in Germany" (2025 survey). Only 20 percent have already been trained by their employer in using AI, and a further 6 percent are aware of an offer but have not yet used it. Companies, too, are slow to expand training: only 8 percent train all employees, 43 percent offer no AI training at all, and only 5 percent specifically hire staff with AI skills. In the US, the value employees place on access to training becomes clear: only 15.9 percent of employers offer any AI training at all, according to the Federal Reserve Bank of New York (April 14, 2026), even though 38 percent of employed workers consider it important. Those without access to training would on average be willing to give up 11.4 percent of their salary for it — conversely, those who already have access demand a 24.2 percent higher salary for an equivalent position without a training offer.
How much does AI use differ by education level in the US?
Considerably: college graduates in the US used AI tools on the job within twelve months more than twice as often as people without a degree — 58.7 percent versus 22.9 percent. Income also shows a gradient, from 15.9 percent among those earning under $50,000 to 66.3 percent among those earning over $200,000 in annual income, according to the Federal Reserve Bank of New York on April 14, 2026.
Conclusion: from experiment to tool — with gaps
Artificial intelligence has arrived across the breadth of the German economy and is increasingly becoming a central factor for competitiveness and future viability.
Bitkom study report "Artificial Intelligence in Germany" (2025 survey)
The numbers paint a clear picture: AI has arrived in German working life in 2026, but its use remains unevenly distributed — across companies, occupational groups, and education levels. As long as 70 percent of employed workers receive no training and only 8 percent of companies train all their employees, the productivity edge from AI will remain reserved for the few. Those who close the training gap are likely to be able to put the documented productivity gains of 14 to 26 percent to broader use across the company in the future.
