The EU AI Act and GDPR: Why AI Startups Increasingly Need Legal Infrastructure from the Very Beginning
Wolja Digital expert Levan Pogosov has published an article for the IT World portal on how AI industry regulation is evolving and why it is no longer enough for AI startups to simply launch a product without legal and compliance infrastructure.
Original article:
Just a few years ago, most AI teams viewed legal issues as a problem for the future. First came the product, growth, and investment, and only then GDPR, data protection, and copyright concerns. In 2026, this model is gradually becoming obsolete: AI companies are increasingly facing regulatory requirements at the early stages of product development, especially when operating in international markets, using a SaaS model, or working with user data.
Why AI Regulation Now Affects More Than Just Large Corporations
Many founders still view artificial intelligence regulation as a challenge that concerns only major technology companies. In practice, modern regulatory requirements increasingly depend not on the size of a business but on how a product actually operates. For example, regulatory scrutiny may arise for AI services related to:
- process automation
- recommendation systems
- HR tech
- user profiling
- generative content
This is particularly evident in Europe, where GDPR and the EU AI Act are gradually beginning to influence not only legal documentation but also product architecture, data processing practices, and the operational logic of AI systems. In many cases, startups start thinking about these issues too late — during investor due diligence or negotiations with corporate clients.
Why GDPR for AI Looks Different Than It Did a Few Years Ago
Not long ago, GDPR was associated by most IT teams primarily with privacy policies, cookie banners, and basic website documentation.
Today, the situation has become significantly more complex. Following the rise of generative AI, the focus of European regulators has shifted to how AI models:
- use data
- are trained on datasets
- make decisions
- profile users
As a result, GDPR compliance for AI products is gradually becoming not just a package of documents but an integral part of the product’s overall infrastructure.
This is especially relevant for SaaS and AI services that rely on automated decision-making or process user data.
Why Copyright Is Becoming One of the Biggest Challenges for the AI Industry
Just a few years ago, many AI teams viewed training data as a gray area where clear rules had yet to be established. However, legal disputes involving generative AI, images, music, and AI-generated content have gradually begun to change the situation. Copyright issues are no longer viewed as an abstract future risk but as a very real component of AI company assessments.
For some startups, copyright-related concerns begin to emerge as early as the scaling stage, during partnership negotiations, or in discussions with investors.
Why Investors Have Started Paying Closer Attention to AI Compliance
While a few years ago investors were primarily focused on growth rates and the quality of the technology, by 2026 AI startup due diligence has become significantly more comprehensive.
Investors are increasingly evaluating:
- readiness for GDPR compliance
- copyright-related risks
- data storage structures
- the potential impact of the EU AI Act
- the product’s legal architecture
This is particularly relevant for AI companies working with enterprise clients or targeting the EU market.
In many cases, the absence of even basic legal infrastructure is already becoming a significant risk indicator long before discussions about business scaling begin.
Why Legal Infrastructure Is Becoming Part of the AI Product
The most significant change in recent years is that compliance is no longer viewed as a separate legal task to be addressed later.
Today, GDPR affects data architecture, the EU AI Act influences product logic, and copyright considerations impact the use of datasets and AI-generated content.
This is why some AI teams are beginning to build legal infrastructure alongside product development rather than after securing initial investment or entering international markets. For businesses, this is gradually becoming not a matter of extra precaution but a normal part of company scaling.
The AI industry continues to grow faster than most other areas of IT. At the same time, scrutiny from regulators, investors, and corporate clients is also increasing.GDPR, the EU AI Act, and copyright considerations are gradually becoming part of the core infrastructure of AI companies — especially for startups targeting international markets and pursuing long-term growth.
The full version of Levan Pogosov’s article for IT World can be found here: