Paving the road for AI agents: Interview with Factory CEO Matan Grinberg
Factory CEO: Scaling AI agents isn't about model power—it's about how your team actually works.
Why it matters
As AI agents move from demos to production, the limiting factor isn't capability—it's organizational design. Grinberg's take challenges the industry's obsession with model releases and points to operating model changes as the real bottleneck for enterprise AI adoption.
The key facts
9 to knowFactory CEO Matan Grinberg on AI agent scaling strategy
Focus: operating model changes over model capability improvements
Context: software engineering as primary deployment domain
Implication: organizational structure, not LLM power, drives AI ROI
Interview format suggests strategic commentary on agent-as-product maturation
Factory CEO argues scaling AI agents requires operating model changes, not just model capability
Interview emphasizes team workflow restructuring over 'flashy demos'
Published by McKinsey (credible business intelligence outlet)
Focus on practical deployment barriers in software engineering
Go to the source
McKinsey Insightsmckinsey.com
Publisher excerpt: Factory CEO and cofounder Matan Grinberg discusses why scaling AI in software engineering depends less on flashy demos and more on changes to the operating model and how teams work.