I'd add one idea: the operating system isn't just what coordinates work. It's what preserves organizational memory.
Too many firms are deploying AI to make individuals faster while leaving institutional knowledge trapped in meetings, inboxes, and people's heads. The result is better execution, but no compounding.
The firms that win won't simply have AI embedded in every workflow. They'll have systems where every decision, exception, and lesson continuously improves the next one.
That's when AI stops being automation and starts becoming organizational intelligence.
That's an excellent point. Organisational memory is one of the most overlooked assets, and AI becomes far more valuable when every decision strengthens the system, not just the individual
Anshul, I really like this framing. We spend a lot of time thinking about how organizations capture decisions and assumptions, not just outputs. AI has enormous potential as an embedded knowledge management tool, but I think we're only scratching the surface. Organizational intelligence feels like the next step beyond productivity.
Using AI as an individual productivity tool is very different from embedding it into the firm's operating model. That's where the real transformation begins
When firms compete on systems, they also need to hire differently. People who can design, improve, and work with those systems become a major advantage
It's the same thing with everyone claiming everything is AI slop now. It's easier to blame the tools and the people figuring out how to use them than to admit the old way of working might not survive the next few years.
Excellent article. I especially liked the distinction between adopting AI tools and rebuilding an organization around AI. Too many discussions focus on productivity gains, while your article emphasizes something much more important—how AI changes decision-making, workflows, and the overall architecture of a business. That shift in perspective is what makes this a valuable read.
I think that's the real challenge. Reinventing how companies create value takes time. Electricity took around 30 years before businesses fully reorganized around it. The interesting question is: how long will it take for AI to reshape value creation in the same way?
Perfect! The distinction between a technology stack and an operating system is particularly important. AI delivers its greatest value when it's woven into the firm's architecture, not when it's treated as another standalone productivity tool.
The line that stayed with me was that firms aren't just competing on advice anymore. They're competing on systems.
I'd take it one step further.
Every system quietly encodes assumptions about how decisions should be made.
Rebuilding around AI isn't an ordinary technology project.
It's an opportunity to redesign organisational judgement.
The biggest shift isn't just adopting AI, it's redesigning how organisations make decisions. That's where the real competitive advantage will emerge
Petar, this is a thoughtful reframing.
I'd add one idea: the operating system isn't just what coordinates work. It's what preserves organizational memory.
Too many firms are deploying AI to make individuals faster while leaving institutional knowledge trapped in meetings, inboxes, and people's heads. The result is better execution, but no compounding.
The firms that win won't simply have AI embedded in every workflow. They'll have systems where every decision, exception, and lesson continuously improves the next one.
That's when AI stops being automation and starts becoming organizational intelligence.
That's an excellent point. Organisational memory is one of the most overlooked assets, and AI becomes far more valuable when every decision strengthens the system, not just the individual
Anshul, I really like this framing. We spend a lot of time thinking about how organizations capture decisions and assumptions, not just outputs. AI has enormous potential as an embedded knowledge management tool, but I think we're only scratching the surface. Organizational intelligence feels like the next step beyond productivity.
I’ve seen plenty of “AI adoption” that’s really one person using ChatGPT while everyone else carries on exactly as before.
Using AI as an individual productivity tool is very different from embedding it into the firm's operating model. That's where the real transformation begins
Competing on systems instead of advice changes everything about how firms hire.
When firms compete on systems, they also need to hire differently. People who can design, improve, and work with those systems become a major advantage
It's the same thing with everyone claiming everything is AI slop now. It's easier to blame the tools and the people figuring out how to use them than to admit the old way of working might not survive the next few years.
Excellent article. I especially liked the distinction between adopting AI tools and rebuilding an organization around AI. Too many discussions focus on productivity gains, while your article emphasizes something much more important—how AI changes decision-making, workflows, and the overall architecture of a business. That shift in perspective is what makes this a valuable read.
I think that's the real challenge. Reinventing how companies create value takes time. Electricity took around 30 years before businesses fully reorganized around it. The interesting question is: how long will it take for AI to reshape value creation in the same way?
Perfect! The distinction between a technology stack and an operating system is particularly important. AI delivers its greatest value when it's woven into the firm's architecture, not when it's treated as another standalone productivity tool.