"Meanwhile, you're sitting in your UX role wondering what this means for your team, your workflow, and your users. You might even be worried about your job security. The problem is that the conversation about how AI gets implemented is happening right now, and if you're not part of it, someone else will decide how it affects your work. That someone probably doesn't understand user experience, research practices, or the subtle ways poor implementation can damage the very outcomes management hopes to achieve."
"Management sees AI as efficiency gains, cost savings, competitive advantage, and innovation all wrapped up in one buzzword-friendly package. They're not wrong to be excited. The technology is genuinely impressive and can deliver real value. But without UX input, AI implementations often fail users in predictable ways: They automate tasks without understanding the judgment calls those tasks require. They optimize for speed while destroying the quality that made your work valuable."
Senior management's excitement about AI creates momentum and investment opportunities within organizations. UX professionals face uncertainty about impacts on teams, workflows, and jobs and risk having implementation decisions made without user-centered insight. Poorly guided AI can automate tasks that require human judgment and prioritize speed at the expense of quality. UX expertise in users, workflows, and quality standards is essential to shape responsible AI implementation. UX leaders should proactively lead AI strategy to preserve value, align with research practices, and leverage management's interest to advance UX priorities.
Read at Smashing Magazine
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