Session
How AI Is Reshaping Organizational Networks
What collaboration data reveals about productivity, adoption, bottlenecks and shrinking networks
PAWorld26 San Francisco · 23–24 September 2026 · San Francisco
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– · Work Design
About this session
Using collaboration data from organizations deploying AI at scale, this session walks through what is actually changing in how work flows: why AI's heaviest users have longer days and far less focus time, how adoption spreads through relationships rather than mandates, where new bottlenecks are forming around reviewers and managers, and whose networks are quietly shrinking.
Learning outcomes
- Assess AI productivity gains alongside working hours and focus time.
- Understand how working relationships influence the spread of AI adoption.
- Recognize reviewers and managers as potential constraints on company-level gains.
- Identify shrinking networks as a change that needs closer investigation.
This session will explore
- Why AI's heaviest users have longer days and far less focus time.
- How adoption spreads through relationships rather than mandates.
- Where new bottlenecks are forming around reviewers and managers.
- Whose networks are quietly shrinking.
Context
AI investment creates pressure to demonstrate returns at company level. Individual speed gains alone cannot show whether work is moving more effectively across teams, or whether review demands and management workloads are absorbing the benefits.
Speakers and contributors
Philip ArkcollPresenterFounderWorklytics