AI Changes the Playbook
At a time when artificial intelligence is accelerating product development across the startup ecosystem, Hostinger's Auksė Žirgulė is arguing that the real competitive battleground is no longer just technology itself, but the quality of the customer experience wrapped around it. Her message reflects a growing consensus among founders and operators: AI can help companies build faster, but it also raises expectations for responsiveness, personalization and reliability.
Žirgulė's comments come as startups and venture-backed companies are under pressure to prove that AI is not merely a feature layer, but a meaningful operating advantage. In practice, that means businesses are using AI to automate support, streamline workflows, improve product discovery and shorten the time between customer need and product response. Yet the same tools that make companies more efficient are also making users less tolerant of friction. If a business can generate answers instantly, customers increasingly expect instant service, intuitive interfaces and proactive support.
That shift is especially relevant for digital-first companies such as Hostinger, where customer experience is central to retention and growth. In the AI era, the bar is not simply whether a product works. It is whether it feels seamless, anticipates problems and adapts quickly as user behavior changes. For startups, that creates both an opportunity and a risk: AI can help them scale service quality, but only if they are disciplined about implementation and clear about where automation should end and human judgment should begin.
Experimentation Becomes Strategy
Žirgulė also emphasized experimentation as a core requirement for success in the current environment. That point carries particular weight in startups and venture capital, where speed has always mattered, but the pace of change is now faster than traditional planning cycles can comfortably absorb. Companies are increasingly expected to test, learn and iterate in real time rather than wait for perfect product-market fit before adapting.
This experimental mindset is becoming a defining feature of AI-native businesses. Founders are using rapid prototyping, customer feedback loops and continuous product refinement to discover what users actually value. In many cases, the winners are not the companies with the most advanced models, but those that can translate AI capabilities into simple, trustworthy and useful customer journeys. That requires a willingness to discard assumptions quickly and redesign products around actual behavior rather than internal theory.
For venture investors, the implication is equally important. AI has lowered the cost of building software, which means differentiation is shifting toward execution, distribution and customer loyalty. A startup can now launch faster than ever, but it can also be copied faster than ever. In that environment, customer experience becomes a moat. Businesses that can earn trust, reduce complexity and deliver consistent value are more likely to retain users even as competitors flood the market with similar tools.
Trust Is The New Moat
The broader lesson from Žirgulė's remarks is that AI is not eliminating the importance of customer experience; it is making it more central. As businesses adopt AI to handle support, content, analytics and product recommendations, they must also manage the risk of impersonal service, inaccurate outputs and over-automation. Customers may appreciate speed, but they still expect accountability.
That tension is forcing startups to rethink how they design their products and how they measure success. Traditional metrics such as traffic, sign-ups or feature adoption are no longer enough on their own. Companies are increasingly judged on whether users return, whether problems are resolved quickly and whether the product feels dependable under pressure. In other words, AI may be transforming the mechanics of business, but the fundamentals of trust remain unchanged.
For Hostinger and peers in the startup ecosystem, the message is clear: AI should not be treated as a shortcut around customer needs. It should be used to deepen understanding of those needs and to deliver better service at scale. The companies that succeed in this environment will likely be those that combine technical speed with operational discipline and a strong customer-first culture.
As the AI wave continues to reshape startups and venture-backed businesses, Žirgulė's framing captures a crucial reality. The next phase of competition will not be won by automation alone. It will be won by the companies that use AI to create experiences customers actually want to return to, recommend and trust.