Following the 2025 research conducted with over 1,000 respondents, one of Hungary's largest studies assessing AI usage is launching again this year—now with the support and collaboration of multiple companies! Take the survey now!
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If you would like to download the results from one of the largest and most detailed studies assessing artificial intelligence usage, you can download the detailed results at this link.
More than 1,000 people participated in my 2025 study; with the 2026 study, we achieved this within the first week.
The summary of the 2025 study can be downloaded for free; the expanded version containing 50 charts with detailed breakdowns is available here: 2025 study results expanded version.
Several local media outlets reported on the results of the first study: Economx, Piac&Profit, Kreativ.hu, Mediafuture.hu, HRportal, WMN.hu, Whitepress.hu, and many others.
The majority of respondents are concerned about data security, ethical issues, and the transparency of AI decisions, but more than 20% also selected the loss of jobs as an option among several possibilities.
You can participate in the research in various languages:
Thank you for your pariticipaton!
If you are interested in how to be featured and reach thousands of decision-makers through the research, contact me!
ChatGPT is the "default" AI tool in Hungary. This is both good news (rapid adaptation) and a warning (often there is no uniform corporate framework or quality routine).
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The biggest brake is not the technology, but uncertainty: what is allowed to be copied, where human control is needed, and how to reduce errors and misunderstandings.
Based on 2025 data, the differences are already visible in subscriptions and time gains. This is not a "soft" topic: if someone saves hours weekly, they progress faster, deliver better quality, and more easily build a professional advantage. The solution is not a campaign, but access + training + routine.
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In many places, it's said "feel free to use it," but actual preparation (training, policy, templates, access) is missing. This is where shadow AI and data risk originate.
The lack of training is not just a knowledge issue but a security problem. The minimum is a common foundation: what is allowed, what isn't, how to verify, and what the team's "good response" standard is.
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In 2025, 1,082 individuals—including 44% executives or senior managers and 27% employees—responded to the largest AI usage research survey to date. The age distribution of respondents is evenly split between the 35–44 and 45–54 age groups. Furthermore, 79% of participants hold a university degree, while 20% work at organizations with at least 250 employees. Regarding gender distribution, 49.6% are male, 48.2% are female, and 2.2% did not disclose their gender.
The survey reveals that ChatGPT is the number one AI tool, with 815 respondents citing it as their primary tool. Nearly 30% of respondents save at least 6 hours per week thanks to the use of AI.
While respondents report that 70% of Hungarian companies support the use of AI tools, 66% of employees have not received any form of AI training.
There is also a significant gender gap: 41% of men have a corporate subscription, compared to just 28% of women. A similar disparity is evident in personal subscriptions, held by 35% of men and 28% of women.
The study reveals that despite corporate endorsement of AI technologies, domestic enterprises fall short regarding specialized training and the acquisition of subscriptions that facilitate secure and efficient operation. Moreover, pronounced gender disparities are already observable across several fundamental performance indicators.
The majority of respondents are concerned about data security, ethical issues, and the transparency of AI decisions, but more than 20% of them also indicated job loss among the multiple possible options.
Unsurprisingly, 81% of respondents identified OpenAI's large language model as their primary AI tool. Various tools are changing at a breakneck pace, as is the knowledge of which one is best or most worth using for a given task. However, perhaps a general overview and understanding are what matters most in training sessions introducing artificial intelligence. For instance, tools like Perplexity might be better for specific use cases—such as researching a specific topic thoroughly—while tools like the Google-developed NotebookLM offer new solutions and learning opportunities for students and learners in the field of education.
In the case of companies, a major question can be which tool they "settle on," since a later migration can represent an even greater challenge. Therefore, before any corporate training, it is worth considering which tools colleagues are already using, or what existing subscriptions or skills they currently possess.
Companies should not only support AI usage verbally but should also navigate and guide their employees. After all, with proper use, employees can save a significant amount of time and also improve their efficiency.
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According to the following chart, companies with fewer than 50 employees support the use of AI the most, but medium and large enterprises are not far behind based on the data from survey respondents. This provides a good foundation for implementing the new technology; however, looking closer at the details of the 2025 research, the picture is less optimistic.
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The majority of respondents use free AI tools, which clearly shows that many are still trying to save on paid services. However, based on the breakdown by company size, 51% of companies with fewer than 50 employees already have a subscription, while this ratio is significantly lower for medium and large enterprises.
Despite this, only 25-26% across all categories receive a corporate subscription, meaning that most pay for premium features out of their own pockets. This can also pose a data privacy risk if employees work with sensitive corporate data through personal accounts using inappropriate settings. Furthermore, the parallel use of free and paid versions easily creates an opaque system where it is unclear which feature or chat is available where, and who has the right to modify settings.
This ambiguity also increases the likelihood of hallucinations and the inclusion of inaccurate information if AI tools are used for corporate and private purposes simultaneously, or if they are used by multiple people at once—without being properly separated. All this can reduce overall efficiency, increase duplicate work, and make it harder to standardize internal processes.
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The data also reveals that the majority of respondents are already actively using AI, especially at smaller companies: they have the highest proportion of those who apply artificial intelligence on a daily basis. In contrast, daily use of AI tools is less frequent at larger corporations.
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Based on the respondents' data, although many use AI systems regularly, companies still do not pay enough attention to employee training. According to the survey on AI usage, the proportion of those who have received any form of AI training is particularly low at small and medium-sized enterprises.
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It is worth investing energy and money into training, as these can significantly improve employees' AI usage, which directly increases productivity and efficiency. During well-structured training sessions, team members learn best practices to avoid common mistakes and data privacy risks, while also exploiting the latest features of AI tools. A well-trained colleague not only works faster but can also propose more creative solutions, thereby increasing the innovation capacity of the entire company.
According to the research results, micro and small enterprises especially benefit from AI subscriptions and training: they not only use AI more frequently but typically use more premium services. Consequently, they save the most working hours: nearly 40% reported gaining at least six hours per week by using AI tools. This saving not only reduces individual workload but also allows employees to concentrate on more creative tasks and strategic projects – which further strengthens the company's competitiveness in the long run.
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Training employees, colleagues, and managers not only increases efficiency but also strengthens data security: according to the final chart of the survey, a significant portion of respondents use sensitive personal and confidential corporate data in AI tools simultaneously. This is especially characteristic of smaller businesses, but the rate is also 32% among medium-sized companies who handle such data through AI systems during their work. Targeted AI training helps teach correct settings and protocols, thereby reducing the risk of accidental data leaks and making internal data management more consistent.
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If companies launched targeted AI education – whether short, practical workshops, "mentor-mentee" programs, or free ChatGPT courses – colleagues would master the most useful techniques faster. This not only boosts overall efficiency but also strengthens employee motivation and loyalty, as they encounter tangible results: fewer repetitive tasks and more creative challenges.
The research, involving over 1,000 participants, also reveals that 70% of Hungarian companies now actively support the use of ChatGPT, Copilot, and other AI tools. Companies have recognized that applying artificial intelligence doesn't just hold innovation potential but also represents a competitive advantage in the market.
Although 70% of companies support AI usage, 66% of employees have still not participated in any formal training – neither internal training nor free ChatGPT courses. Data broken down by gender reveals that men have already gained an advantage in efficiency and productivity, while the proportion of women who remained without training is higher.
This difference, although only a few percentage points, can hinder women's professional advancement and their confident use of AI tools in the long run. While companies may call themselves "AI-supported organizations," without training, the knowledge and confidence of employees cannot develop properly.
To narrow the gender gap, the following steps are recommended:
With these steps, not only can gender gaps be reduced, but corporate productivity and motivation also drastically improve, as workers face fewer repetitive tasks and more creative challenges.
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Although only to a small extent, there are already differences between men and women regarding education. At 40 percent of companies, there are no plans to provide any form of training for employees. This represents a risk and a disadvantage even in the short term, as improper use can lead to data leaks, while the companies' competitiveness decreases. This is critical because, according to the survey respondents, they save a significant amount of time thanks to the use of AI.
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Men save more time with artificial intelligence: up to more than 6 hours per week, which corresponds to a 20-25% improvement in efficiency. This is the extent of the disadvantage that companies falling behind in the AI revolution may face.
A clear picture is also emerging regarding AI subscriptions. When looking at which respondents have any type of subscription, the gender gap is 8 percentage points in favor of men. Among them, 32 percent have at least one AI subscription, which—depending on the tool—can result in higher quotas, better access, superior results, and additional features.
A more detailed analysis of who received their subscription from an employer and who pays for premium features out of pocket reveals an even larger gap, which could represent an additional competitive disadvantage for women in the workplace. 42 percent of men have a corporate subscription, while only 28 percent of women do. As individuals, 35 percent of men use paid versions, whereas only 28 percent of women do the same.
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Consequently, it is not surprising that men save more time: 37 percent stated they save at least 6 hours per week thanks to AI tools, compared to only 26 percent of women. 20 percent of men and only 11 percent of women reported saving more than one full workday per week due to these new solutions.
While the research is not representative, the large sample size reflects trends effectively; therefore, every company should examine its employees' relationship with AI usage. The most significant gender difference exists among executives and middle managers, while the gap narrows at the employee level.
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To narrow the gender gap, the following steps are recommended:
With these steps, not only can gender disparities be reduced, but corporate productivity and motivation also drastically improve, as employees face fewer repetitive tasks and more creative challenges.
The survey examining AI usage habits was conducted in April and May with 1,082 participants. Among the respondents, the ratio of men and women was approximately 50-50%. 44% were CEOs or senior management, 27% were employees, while 32-32% were from the 35-44 and 45-54 age groups.
The 2025 AI Usage Research clearly demonstrated that while the majority of domestic companies support the use of AI tools, there is a significant gender disparity in terms of training and subscriptions, which also limits women's professional development and efficiency.
Free ChatGPT courses and targeted corporate training can increase not only individual time savings and efficiency but also contribute to the competitiveness of the entire company. Rapidly closing the digital gap in this area is essential to ensure that every employee—man and woman alike—has access to the necessary AI training and subscriptions.