Autonomous AI at work: uses and where the limits lie

A few years ago, the question was how well a chatbot could write an email. Today, professional events are already discussing how artificial intelligence can independently carry out multi-step tasks. This was one of the central questions of Marketing Summit Budapest 2026 and the related analyses: how autonomous AI solutions can be integrated into the way companies operate, and what remains the role of humans in this.

Below, we summarise what these tools can do, what recent Hungarian surveys show, and which considerations may help with a careful start.

How is autonomous AI different from a chatbot?

The familiar generative AI tools answer a question or produce content, but control of the process remains with the human. Autonomous AI solutions go further than this: according to the description of the AI Summit Budapest programme, they plan independently, execute tasks, and manage multi-step processes.

In practice, this may mean that such a tool not only writes the draft text for a campaign, but also gathers the data for it, prepares the next steps, and signals when a human decision is needed. For this reason, the AI Summit Budapest programme already speaks about integrating “digital co-workers”, as well as the data security and operating models required for this.

Technology and human credibility together at the Marketing Summit

According to Kreatív’s report, both a technological and a human-centred approach were present at the conference. Based on the publication’s summary, the presentations described the current period as a turning point in organisational operations, in which AI is already being built into decision-making, while preserving human credibility remains a key issue.

A similar direction is indicated by the European market as well. According to a report published on the website of the Hungarian Marketing Association, citing an IAB Europe survey, European marketing agencies are investing significant sums in autonomous AI solutions, and after the experimentation phase the industry has moved into the stage of operational scaling. The same report also draws attention to gaps in training and regulation.

Strong interest, few measurable results

The figures clearly show the dual nature of the current situation. According to a survey published by the Hungarian Marketing Association, 87 per cent of marketing leaders treat AI-based search and integration as a priority, yet fewer than a quarter can accurately measure its direct business impact and return on investment. The survey also mentions autonomous AI tools as one possible way to bridge capacity shortages.

A broader picture of adoption comes from the Joint Venture Association’s AI Index Hungary 2026 research. According to this, 50.4 per cent of respondents had already tried some kind of AI tool, but only 25.9 per cent reported using one regularly. The research also indicates that 39.5 per cent of respondents are uncertain about the accuracy and reliability of AI-generated answers.

In other words, many people have already tried these tools, but deliberate, embedded and trusted use is far less widespread. There is no separate public statistic on how many Hungarian companies specifically use multi-step autonomous AI solutions, so only cautious conclusions can be drawn from the general usage data.

Meanwhile, search is changing too

There is a reason why marketing leaders are turning their attention to AI-based search. According to MMOnline’s analysis, traffic arriving at Hungarian websites from AI services increased a hundredfold in less than two years and surpassed a 1 per cent share.

This share is still small in itself, but the pace of growth suggests that some readers and buyers are already finding content and products through artificial intelligence. For companies, this is another reason not to think of AI only as an internal tool.

Time savings versus return on investment: why is this not a contradiction?

Two ideas run in parallel in the materials surrounding the conference. The AI Summit Budapest programme presents autonomous AI as a tool that promises rapid capacity growth and time savings, and the Hungarian AI usage research covered by AI Magazin also highlights the time savings seen among small and medium-sized businesses. According to the survey published by the Hungarian Marketing Association, however, most leaders cannot demonstrate in exact terms how much the investment delivers.

In reality, the two sit well alongside each other. Individual employees may feel that they complete a task faster, but if the company does not record where it started and what it considers a successful outcome, the time saving will not appear as a business metric. So the lack of measurement does not necessarily mean a lack of benefit; it often means that the rollout is not part of a planned process.

Without rules, data security risk grows

The lack of a deliberate rollout has another, less visible consequence. If a company has no clear rules, employees often begin using AI tools on their own initiative and without the company’s knowledge; this phenomenon is known in professional language as shadow AI. According to AI Magazin’s report, the lack of internal AI regulation and uncontrolled use pose a significant data security risk for small and medium-sized businesses.

In such cases, customer data, internal documents or trade secrets can easily end up in a service whose data handling no one has examined. It is no coincidence that alongside the integration of digital co-workers, the AI Summit Budapest programme also gave prominent space to data security and operating models. For those who want to know more about the data handling of general AI services, our article on ChatGPT privacy settings may also be useful.

What remains the role of humans?

A recurring message in professional discussions is that autonomous AI tools can primarily reduce operational burdens, but they do not take over strategic decision-making. According to the labour market portal Szakmát Szerzek’s analysis of AI Summit Budapest, critical thinking and empathy remain humanity’s most important advantages. At the same time, the portal also stresses the importance of reskilling employees and the lag among organisations.

As for what all this means for jobs in the longer term, the professional materials place different emphasis on it. Some highlight that human work may shift towards tasks that create more value, while others are more cautious; at present there is no clear, well-founded picture of this.

How is it worth getting started? General considerations

The points below are general considerations, not professional advice. Each company should decide based on its own situation, data and legal environment, involving a specialist if necessary.

• Start with a small, clearly defined process: a repetitive task where the result is easy to check and an error would not cause serious harm.
• Record the baseline in advance: how long the task takes now, and what quality level it reaches. Without this, it is difficult to say later whether the rollout was worthwhile.
• Write internal rules: which tools may be used, what data may be entered into them, and who is responsible for the result. This can also reduce the risk of uncontrolled tool use.
• Keep human approval at key points: AI can prepare and execute, but for steps affecting customers, money or legal matters, it is worth building in human oversight.
• Set aside time for training as well: employees need to understand what the tool can do and where it may go wrong. According to the surveys, uncertainty related to accuracy is also widespread.

Overall, the analyses surrounding Marketing Summit Budapest 2026 suggest that the question is no longer whether companies use artificial intelligence, but how deliberately they do so. Autonomous AI solutions can take some routine work off people’s shoulders, but the benefits only become visible and safe if the rollout is accompanied by rules, measurement and human responsibility. At companies that think this through, AI can become more of a co-worker than an unpredictable risk.