Companies are already reporting 75% AI projects delivered. Planned. Delivered. We've talked with companies still ironing out their first wave of AI? So with all that dev work, Where has UX gone?
To truly capitalize on these technological investments and drive significant ROI, we must move beyond simply deploying these powerful tools. Our focus must shift towards ensuring rapid and effective adoption across all teams. The key to unlocking this adoption lies in a strategic integration of Design Thinking.
Let's be clear: Design Thinking is not a soft skill; it is a core strategic competency for maximizing the return on Gen AI investments.
Many enterprises report that more than 75% of their AI projects have moved from plan to delivery. Yet in conversations with leaders, we still hear about organizations struggling with their first wave of Gen AI initiatives. With all this development effort, a critical question emerges: where has UX gone?
To truly capitalize on AI investments and realize meaningful ROI, it’s not enough to ship models, agents, and tools. The real differentiator is rapid, effective Gen AI adoption across teams. That adoption depends on strategically integrating Design Thinking and human-centered AI (HCAI) into how AI is conceived, built, and rolled out.
Design Thinking is not a soft skill. It is a core strategic competency for maximizing the return on Gen AI and AI agent investments.
As we navigate this transformative era, simply providing access to sophisticated AI tools is insufficient. Your employees need to understand how these tools fit into their workflows, why embracing them could increase productivity, and feel confident in their ability to leverage them effectively. This is where Design Thinking becomes paramount.
As we navigate this transformative AI era, simply providing access to powerful Gen AI tools and AI agents is not enough. Employees must:
This is where Design Thinking for AI becomes paramount: it bridges the gap between technical capability and everyday usability, making AI UX a strategic lever for adoption and ROI.
Call them strategic-minded leaders or “logic designers”—either way, the trend is clear. Organizations that successfully harness Gen AI, traditional ML, and AI agents are elevating Design Thinking as a critical capability.
Design Thinking provides the framework for building user-centric, human-centered AI systems that are:
The Interaction Design Foundation defines Human-Centered AI (HCAI) as AI that augments human capabilities and preserves meaningful human control. This approach is often brought to life through Human-in-the-Loop (HITL) design principles, where humans stay actively involved in oversight, decisions, and continuous improvement.
This combination—HCAI plus HITL—is the linchpin for seamless AI integration and accelerated adoption in the enterprise.
Ricardo Prada, PhD, Google DeepMind
Minimizing Friction and Maximizing Efficiency: Poorly designed AI interfaces can create frustration and impede productivity, undermining ROI. Design Thinking emphasizes intuitive, user-friendly experiences, making Experience Design strategists and CX leaders crucial in AI development to ensure these tools enhance team performance. This also improves end customer experience, as effective employee AI use translates to better service. Just as prioritizing well-designed customer experiences boosts profit and satisfaction by reducing friction, the end customer experience is also impacted through an employee’s ability to get the most out of the tools they use to serve and support customers. E-commerce experiences like those outlined here in AI-Driven UX Personalization: How Smart Technology is Revolutionizing E-Commerce Customer Experiences in 2025 offer a great set of reasons for tailoring AI solutions to specific user needs for better adoption and performance.
"Can we prepare ourselves philosophically and methodologically for all the changes that are coming, and guide our society towards a world we actually want to live in."
To recap, we’ve outlined a strong case describing how prioritizing human needs drives innovation, boosts productivity, and delivers a strong return on investment in AI initiatives.
Embedding Design Thinking into our Gen AI initiatives will allow us to proactively shape the future of our organizations, ensuring the integration of AI aligns with our goals for a desirable future– in productivity, innovation and ROI. Google’s Design Strategist Ricardo Prada suggests Experience Design Strategists have an important role in guiding the future design and use of AI. The organizations that are early to embrace human-centered AI experiences will have teams who not just adopt but truly benefit from these technologies.