Building AI Products? Why UX Is Essential

On April 17, 2026, during EXFEST - Experience Festival in Warsaw, Magdalena Ostoja-Chyżyńska, CEO & Founder of UX GIRL, delivered a presentation titled The Era of Enablers: The End of the Delivery Era and the New Role of Product Professionals. Rather than focusing on specific UX methods or design trends, the talk explored a broader transformation that is currently changing the way digital products are built and how product teams operate.

The presentation offered a perspective on how technology has shaped professional roles over the last three decades and why artificial intelligence may be initiating another significant shift in the industry.

From the Era of Webmasters to the Era of Specialists

Magdalena began by taking the audience back to the early years of the internet. During the 1990s and early 2000s, a single webmaster was often responsible for nearly every aspect of building and maintaining a digital product. Design, development, analytics, databases, copywriting and graphics frequently belonged to one role. 

As technology evolved and digital products became more sophisticated, organizations responded through specialization. New professions emerged, including UX designers, UI designers, UX writers, frontend and backend developers, testers, product owners and project managers. What was once handled by a single person gradually became distributed across entire teams of specialists. 

This evolution brought many benefits. Specialized knowledge enabled companies to build more advanced products, improve quality and create better experiences for users. However, it also introduced new challenges. Teams became larger, processes became more complex and communication between disciplines became increasingly important.

AI as a New Turning Point

According to Magdalena, artificial intelligence represents another major turning point in this story.

For years, the industry moved toward narrower and narrower specializations. Today, AI tools are allowing professionals to cross many of these boundaries once again. Designers can generate interfaces and prototypes faster than ever. Developers can use AI-assisted coding tools. Researchers can process large volumes of information more efficiently. Product teams can analyze data, create reports and explore new ideas with significantly less effort. 

This does not mean that expertise is disappearing. Instead, AI acts as a force multiplier that enables individuals to accomplish tasks that previously required multiple specialists or significantly more time. The presentation described AI not as a replacement for human work but as a technology that expands human potential.

What Has AI Actually Changed?

One of the central sections of the presentation focused on four major changes introduced by AI.The first is abundance. AI can generate enormous quantities of content, ideas, designs, code and solutions. For many organizations, the challenge is no longer producing options but selecting the right ones. In a world where almost anyone can create something, the ability to evaluate, prioritize and curate becomes increasingly valuable. 

The second change is speed. Tasks that once required days of work can now be completed within hours or even minutes. This acceleration allows teams to spend less time on repetitive execution and more time on strategic thinking. 

Third, AI expands capabilities. Professionals are no longer restricted by the traditional boundaries of their role. A designer can better understand technical implementation. A developer can participate more actively in product discussions. A product manager can explore data and research in greater depth. AI makes multidisciplinary work more accessible. 

Finally, AI brings teams closer to business. When routine tasks become easier to execute, more attention can be directed toward customer needs, business goals, key metrics and long-term product strategy. 

The End of the Delivery Era

A particularly interesting message from the presentation concerned the traditional understanding of productivity in product organizations. For years, many teams were evaluated primarily on their ability to deliver. Success was measured through completed tasks, released features and executed roadmaps. However, when AI reduces the effort required to build, design and analyze, simply delivering outputs becomes less of a competitive advantage.

Instead, organizations increasingly need people who can identify meaningful opportunities, define valuable problems to solve and connect business objectives with user needs. The discussion shifts from “Can we build it?” to “Should we build it?” and “What impact will it create?” This represents a significant change in how product work is understood.

Moving Closer to Business Outcomes

Another important theme of the presentation was the growing relationship between product teams and business strategy. Magdalena highlighted that modern product professionals need to understand not only interfaces and features but also objectives, key results and company priorities. The presentation showed how daily tasks should connect to broader business goals and measurable outcomes rather than existing as isolated activities. 

In this context, AI becomes a tool that helps teams move beyond operational work and participate more actively in strategic decision-making. Product, design and technology professionals are expected to understand business problems and contribute directly to solving them.

The Rise of the Enabler

The concept that tied the entire presentation together was the idea of the “Enabler.” An enabler is someone who uses technology, knowledge and collaboration to unlock value for others. Rather than focusing exclusively on one specialization, enablers connect disciplines, facilitate decision-making and help organizations achieve meaningful results.

The future may therefore belong less to narrowly defined specialists and more to professionals capable of combining different perspectives, leveraging AI effectively and translating complexity into business impact.

Final Thoughts

Magdalena Ostoja-Chyżyńska’s presentation offered an optimistic view of the future of product work. While artificial intelligence is undoubtedly changing established ways of working, it is also creating new opportunities for growth and innovation.

The key message was not that specialization is becoming obsolete, but that the role of professionals is evolving. As AI takes over more repetitive and operational activities, people can focus on strategy, creativity, problem-solving and business impact.

The era of simply delivering work may be coming to an end. What emerges in its place is the Era of Enablers — professionals who use technology not only to build products, but to create meaningful value for users, teams and organizations.

When the pandemic struck, UX research transformed overnight. In‑person usability labs and face‑to‑face interviews gave way to remote testing, inviting researchers and participants into a new digital-first world. The lessons learned during that era are no longer a temporary workaround—they have reshaped how UX research operates today.

Pre‑Pandemic UX Research: The Old Normal

Before 2020, research was dominated by lab-based studies and moderated sessions in physical test facilities. Remote methods were secondary—used only when necessary—and recruiting outside major hubs was costly and slow.

Pandemic Shift: Remote Goes Mainstream

As COVID‑19 restrictions tightened, remote UX research became the only option. According to studies, nearly 90% of UX researchers worked exclusively from home at the pandemic’s start, including many who rarely did so previously.
Researchers shifted rapidly to synchronous remote sessions and unmoderated online studies. Virtual tools became essential for recruiting, moderating, analyzing, and sharing findings. The focus shifted to web-based, asynchronous research and global participant pools.

Post‑Pandemic: What’s Here to Stay

Hybrid work has become permanent. Statistics from U.S. sources show remote work stabilized at about 30–35% of working days by 2023, up from under 10% before COVID‑19. Remote work endured even as many firms pushed for office returns, suggesting flexibility is now expected.
In UX specifically, a 2023 survey found that 87% of researchers conducted most research remotely, although fully remote work dropped from 89% in 2021 to 51% in 2023.

Benefits and Constraints: What Changed

Remote methods unlocked flexibility, geographic diversity in recruitment, and faster turnaround times. Researchers reported unexpected gains: broader participant pools, asynchronous scheduling, and easier recording and sharing of sessions.
However, challenges emerged: participants faced “Zoom fatigue,” technical issues, time-zone coordination, and reduced richness in observational data.

New Landscape: Emerging Opportunities & Risks

AI and automation are reshaping research practices: 51% of UX researchers already use AI tools, and 91% are open to adopting them in the future.
Inclusivity and representativeness are more important than ever, especially as teams scale and research global audiences.

Recommendations for Product Teams

1. Adopt a hybrid research model, combining moderated remote sessions for scalability with in-person tests for contextual or high-fidelity studies.
2. Invest in remote UX tooling, using platforms like Userlytics, UserTesting, Maze, and Lookback to support both moderated and unmoderated studies .
3. Use AI wisely: automate transcription, tagging, and insight sorting, but always ensure human review to avoid bias.
4. Recruit inclusively: source participants across geographies and device setups, and prepare contingencies for technical or motivational variability.
5. Design ergonomics for remote studies: keep sessions under an hour, allow breaks, and combat fatigue with clear protocols and engaged moderation.

The pandemic didn’t just trigger temporary change; it accelerated a permanent shift in UX research. Remote-first is here to stay, but the future lies in well-balanced hybrid strategies supported by AI and inclusive methods.
At UX GIRL, we help you navigate this new terrain-designing research plans that blend remote speed with in-person depth, ensuring higher ROI, broader insights, and user‑centered impact.

In today’s fast-paced digital world, UX/UI isn’t just about aesthetics—it’s a strategic differentiator. Implementing cutting-edge design trends in 2025 can boost user satisfaction, drive conversions, and deliver measurable ROI.

1. AI‑Powered Hyper‑Personalization

Adaptive interfaces fueled by AI analyze user behavior, context, and preferences in real time—adjusting layouts, content, and navigation dynamically. Studies show 80% of consumers are more likely to purchase when they receive personalized experiences. Examples like Netflix and Spotify reinforce this trend, tailoring content and design to individual users .

2. Advanced Micro‑Interactions

What were once simple hover effects evolve into context-aware, AI-driven feedback loops—and even haptics and sound cues—that guide user flows, reduce cognitive load, and add delight. Research shows thoughtful micro‑interactions correlate with higher engagement and retention.

3. Voice & Conversational Interfaces

Voice UIs and chatbots are becoming mainstream. By 2025, over half of households are expected to have a smart speaker. Designing voice-first experiences requires accounting for diverse speech patterns, context switching, and cultural nuances .

4. Inclusive & Accessible Design

Inclusive design goes beyond compliance; it centers diverse user needs—from visual and cognitive to situational constraints. Brands that prioritize accessibility gain all users—not just those with disabilities:

• Accessible design has yielded a 58% conversion uplift for some major retail clients ‍
• Forrester found a remarkable $100 ROI for every $1 spent on accessibility
• Companies adopting inclusive design practices report 1.6× more revenue and 2.6× higher net profit

5. UX for AI‑First Products

As AI-powered tools become ubiquitous, UX must enable transparency, overview, and control. Research highlights AI as a creative partner—supporting ideation and iterative design workflows . Additionally, generative AI enables multimodal interfaces—integrating voice, visuals, and text for seamless cross-platform experiences.

How to Implement These Trends Without Breaking the Bank

To integrate these innovations efficiently:

1. Begin with accessibility audits and low-cost improvements (e.g., alt text, color contrast).
2. Launch pilot personalization features on high-impact pages (e.g., product pages, onboarding).
3. Add select micro‑interactions on critical user flows (e.g., form submission buttons, success screens).
4. Prototype a minimal voice or chatbot interaction for common tasks (e.g., search, FAQs), and test with real users.
5. Apply AI tools to assist designers—generating layout variations, content suggestions, and micro‑interaction options that accelerate iteration.

Conclusion & Next Steps with UX GIRL

Embracing AI-driven personalization, thoughtful micro‑interactions, conversational interfaces, inclusive design, and AI-first UX supports both user satisfaction and tangible business gains.

Next steps:

• Conduct a single-page audit to identify low-hanging UX wins.
• Run small-scale pilots (e.g., personalized hero banners, chatbot interfaces).
• Measure impact on key KPIs: engagement, conversion, retention, and accessibility compliance.

At UX GIRL, we help teams, from Product Owners to CTOs, implement these strategies with rigorous UX research, rapid prototyping, and data-backed iteration. Together, we’ll make 2025 the year your UX truly delivers business results.

Let’s talk about your UX roadmap for next year—reach out to UX GIRL to explore tailored strategies.