Process Efficiency Leads AI Transformation Expectations
Organizations expect AI to reshape UX work across multiple dimensions, but process and workflow improvements top the transformation list. When asked which area AI will most transform over the next two years, 27% point to process workflow efficiency as the primary target.
The focus on efficiency reflects practical business priorities. UX teams face mounting pressure to deliver faster results with greater impact, making workflow optimization an obvious AI application. Research and insights follow at 14%, suggesting organizations see AI's data processing capabilities as particularly valuable for user research analysis and pattern recognition.
Business outcome areas cluster in the middle range, with revenue generation (12%), brand building (11%), customer retention (10%), and market share expansion (10%) each drawing roughly equal attention. This distribution suggests organizations view AI as broadly applicable across UX functions rather than concentrated in specific areas.
Perhaps most telling, 17% selected "all of the above," indicating many organizations expect comprehensive transformation rather than isolated improvements. This comprehensive view aligns with the earlier finding that 83% report AI already accelerating innovation—suggesting transformation expectations are grounded in current experience rather than speculative projections.
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