Why AI gains are unevenly distributed in your engineering team | Asana’s Arnab Bose

Why are 75% of knowledge workers using AI, yet only 5% of companies seeing meaningful productivity gains? This week on Dev Interrupted, Asana Chief Product Officer Arnab Bose explains why scaling enterprise AI means shifting from isolated chatbots to fully integrated agentic work management. He breaks down how Asana is turning AI from a tool into a transparent digital teammate with shared memory, full audit trails, and role-based access controls. The conversation closes on Asana's acquisition of Stack AI, the upcoming Command product for R&D teams, and which metrics prove AI ROI.
Get the guide: The AI engineering productivity gap - how elite teams pull ahead in 2026
Follow the show:
Subscribe to our Substack
Follow us on LinkedIn
Subscribe to our YouTube Channel

Follow the hosts:
Follow Andrew
Follow Ben
Follow Dan

Follow today's guest:
Asana: Explore the work management platform and learn more about Agentic Work Management at asana.com
Stack AI: Read about Asana's acquisition of the no-code AI workflow automation platform on the Asana Blog
Connect with Arnab: LinkedIn

OFFERS
Start Free Trial: Get started with LinearB's AI productivity platform for free.
Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era.

LEARN ABOUT LINEARB
AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production.
AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance.
AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil.
MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.