A study by OpenAI shows that 85% of SME decision-makers in Germany use AI at work, saving an average of 5.1 hours per week. While ChatGPT dominates, one in four admit to “shadow AI” use despite company restrictions.
A representative study published by OpenAI examines the state of artificial intelligence adoption in German small and medium-sized enterprises (SMEs). The findings paint a picture of widespread use, tangible productivity gains, and a notable disconnect between corporate policies and employee behaviour.
High usage, varying intensity
More than four in five (85%) SME decision-makers in Germany use AI tools at work – almost on par with personal use (88%). However, frequency differs significantly by company size. While 91% of decision-makers in medium-sized businesses use AI, the figure drops to 81% among sole traders and 80% in micro-enterprises. Regionally, Berlin leads with 93% usage, compared to 80% in Lower Saxony.
Among users, two-fifths (41%) employ AI daily, including 27% multiple times per day. Weekly usage reaches 80%, while only 4% use AI once a month or less.
Applications and time savings
On average, decision-makers apply AI in 3.2 different ways. The most common use case is research, analysis, or summarisation (43%), followed by learning or upskilling (37%), writing business communications (36%), and brainstorming (32%). Built-in AI tools in everyday software (43%) and chatbots (39%) are the most frequent access points.
Time savings are substantial: 94% of users report saving time, averaging 5.1 hours per week – equivalent to 235 hours annually. The most time-efficient application is research, analysis, or summarisation, cited by 27% as their biggest time-saver. Writing emails follows with 20%.
The freed time is primarily allocated to creative thinking (32%), strategic planning (30%), and product or service improvement (28%). Notably, individuals who also use AI in their private life achieve higher workplace savings (5.5 hours) than those who do not (4.3 hours).
Confidence and strategic relevance
Seven in ten decision-makers (70%) express confidence in their own or their employees’ AI skills. This confidence rises with company size: 80% in medium-sized businesses versus 64% in micro and small enterprises. Furthermore, 83% believe that AI familiarity will be important for their business’s future – a view shared by 95% of regular workplace AI users but only 45% of non-users.
Shadow AI and policy deficits
Nearly half (49%) of SMEs report having a formal AI policy: 28% with a supportive and regulating stance, and 21% with restrictive or prohibitive rules. Unsurprisingly, policy formality increases with company size – from 15% among sole traders to 63% among medium-sized businesses.
A critical finding is that 23% of decision-makers admit to using AI at work despite their organisation having a policy that restricts or prohibits it. This “shadow AI” is further reflected in the fact that 59% of businesses with employees report independent AI use by staff without official adoption.
Tool landscape: ChatGPT dominates
ChatGPT is the most widely used AI tool (70%), followed by Google Gemini (47%) and Microsoft Copilot (26%). When asked which tool their business relies on most, 53% name ChatGPT, 18% Gemini, and 7% Copilot. Among ChatGPT users, 70% consider it their primary tool, compared to 36% of Gemini users and 24% of Copilot users.
Motivations and measured outcomes
The primary motivation for adopting AI is saving time (42%), followed by idea generation (24%) and quality improvement (24%). In terms of tangible outcomes, 41% of users report measurable time savings, 27% fewer errors and rework, and 21% faster customer response times.
When asked where AI would be most helpful in business development, 35% point to improving existing operations, 21% to managing costs or efficiency, and 13% to scaling revenue.
Trust in implementation advice
SME decision-makers trust specialist AI companies most (27%) for implementation guidance, followed by existing IT providers (22%). However, 9% do not know whom to trust, and 8% would trust no one – figures that rise to 19% and 17% respectively among sole traders.
The study concludes that while AI has become a standard productivity tool in German SMEs, formal governance and policy alignment lag behind actual usage, creating both opportunities and compliance risks.
Dr. Jakob Jung is Editor-in-Chief of Security Storage and Channel Germany. He has been working in IT journalism for more than 20 years. His career includes Computer Reseller News, Heise Resale, Informationweek, Techtarget (storage and data center) and ChannelBiz. He also freelances for numerous IT publications, including Computerwoche, Channelpartner, IT-Business, Storage-Insider and ZDnet. His main topics are channel, storage, security, data center, ERP and CRM.
Contact via Mail: jakob.jung@security-storage-und-channel-germany.de