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In this special long-read episode, NLW digs into insights from thousands of executive interviews about AI and agents in the enterprise. Based on data from Superintelligent’s Agent Readiness and Opportunity Mapping audits, he unpacks where companies actually stand today—what’s working, what’s blocking progress, and where the biggest ROI opportunities lie.
NLW covers:
The average Agent Readiness Score and what it means for real-world adoption
The top AI and agent use cases showing up across industries
The biggest blockers: fragmented data, change fatigue, unclear governance, and skills gaps
The patterns of organizations succeeding with AI—and the archetypes falling behind
Why 2026 will be the “Year of Context” and the “Year of ROI”
If you want to understand what’s really happening inside enterprises right now with AI and agents, this is the one to listen to.
By Nathaniel Whittemore4.7
534534 ratings
In this special long-read episode, NLW digs into insights from thousands of executive interviews about AI and agents in the enterprise. Based on data from Superintelligent’s Agent Readiness and Opportunity Mapping audits, he unpacks where companies actually stand today—what’s working, what’s blocking progress, and where the biggest ROI opportunities lie.
NLW covers:
The average Agent Readiness Score and what it means for real-world adoption
The top AI and agent use cases showing up across industries
The biggest blockers: fragmented data, change fatigue, unclear governance, and skills gaps
The patterns of organizations succeeding with AI—and the archetypes falling behind
Why 2026 will be the “Year of Context” and the “Year of ROI”
If you want to understand what’s really happening inside enterprises right now with AI and agents, this is the one to listen to.

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