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What does it really take to turn bold ideas into real impact inside one of the world’s largest technology companies?
In this episode of Engineering in the Loop, Alec Harrison sits down with Taylor Black, Director of AI & Venture Ecosystems in the Office of the CTO at Microsoft, to unpack how internal incubators actually work — and why most innovation efforts fail before they ever ship.
Taylor leads Microsoft’s internal incubation studio, where early-stage, high-risk ideas are tested, validated, and scaled into products capable of generating hundreds of millions — and eventually billions — in revenue. Unlike traditional startups, these ventures must meet Microsoft-scale expectations while navigating enterprise constraints, long buying cycles, and strategic alignment across product groups.
In this conversation, we cover:
What makes an idea “Microsoft-sized” (and why most aren’t)
How internal incubators de-risk innovation before product teams invest
Why $1B in revenue within five years is the bar — not the exception
The biggest mistakes founders make when starting companies
When not to take venture capital (and why most founders do it too early)
How AI agents will reshape work far beyond chat interfaces
Why the future may include one-person billion-dollar companies
Whether you’re an engineer, founder, product leader, or innovation executive, this episode offers a rare, inside look at how venture-style thinking works inside a global enterprise — and what you can learn from it.
By Alec HarrisonWhat does it really take to turn bold ideas into real impact inside one of the world’s largest technology companies?
In this episode of Engineering in the Loop, Alec Harrison sits down with Taylor Black, Director of AI & Venture Ecosystems in the Office of the CTO at Microsoft, to unpack how internal incubators actually work — and why most innovation efforts fail before they ever ship.
Taylor leads Microsoft’s internal incubation studio, where early-stage, high-risk ideas are tested, validated, and scaled into products capable of generating hundreds of millions — and eventually billions — in revenue. Unlike traditional startups, these ventures must meet Microsoft-scale expectations while navigating enterprise constraints, long buying cycles, and strategic alignment across product groups.
In this conversation, we cover:
What makes an idea “Microsoft-sized” (and why most aren’t)
How internal incubators de-risk innovation before product teams invest
Why $1B in revenue within five years is the bar — not the exception
The biggest mistakes founders make when starting companies
When not to take venture capital (and why most founders do it too early)
How AI agents will reshape work far beyond chat interfaces
Why the future may include one-person billion-dollar companies
Whether you’re an engineer, founder, product leader, or innovation executive, this episode offers a rare, inside look at how venture-style thinking works inside a global enterprise — and what you can learn from it.