AI Investment Surge Hits Business Context Bottleneck — Alteryx, Inc.

Event summary

53% of organizations struggle to translate business context into AI systems despite 80% expecting increased AI spending over the next two years.
69% report moderate or significant ROI from current AI investments, but 77% agree business context is critical for accurate outputs.
Only 18% of organizations have achieved fully self-service access to cloud data for business users.
Alteryx surveyed 1,400 IT leaders globally across multiple industries with average revenue of $3.4 billion.

The big picture

AI has entered a new phase where the focus is shifting from adoption to measurable business value. The challenge lies in bridging the gap between AI's technical capabilities and the operational knowledge that drives real-world decision-making. This context bottleneck could slow down AI's enterprise-scale deployment despite increasing investments.

What we're watching

Context Integration: How organizations will operationalize business logic for AI systems to generate meaningful outcomes.
IT-Business Alignment: Whether closer collaboration between IT and business teams can accelerate enterprise AI adoption.
Data Access Evolution: The pace at which organizations will achieve self-service cloud data access for non-technical users.