Siddharth Saoji 
Company A: AI as an Enhancement Tool
PMs average ~5 meetings per day. Each meeting typically falls into one of these categories:
- Aligning stakeholders on a solution
- Aligning stakeholders on prioritization
- Gathering stakeholder requirements
- Explaining proposed solutions
- Updating progress on solutions
In simple terms, this is managing context for yourself and others. With 30 minutes per meeting on average, PMs spend 150 minutes (2.5 hours) daily just in meetings, not counting prep time.
Here, AI serves as a productivity assistant: generating meeting summaries, improving slide decks, and extracting information from company documents.
Company B: AI as an Agent Network
PMs average ~2 meetings per week. One with users to gather product feedback, one with the team to share new learnings.
The rest of their time? Giving and refining context for their AI agents.
These agents then communicate with other stakeholder agents across the organization handling alignment, updates, requirement gathering and even MVP building autonomously. Instead of managing context for 20 stakeholders (each with different narratives, POVs, biases, and incentives), you manage context with your AI agent. The decisions and outputs between agents become monitorable and objective, for iterative improvements.
The Fundamental Difference
While Company A’s usage makes you efficient in a flawed system, Company B shifts paradigm to new possibilities.