Q&A with Taylor Black
by Dave Hazen
Taylor Black, director of AI & Venture Ecosystems in the Office of the CTO at Microsoft, has been named the founding director for The Catholic University of America’s new interdisciplinary institute on artificial intelligence and emerging technologies.
This conversation has been edited for clarity.
DH: You have a fairly eclectic background. Could you tell us about your academic and professional formation?
Taylor Black: I went to undergrad at Gonzaga University, where I majored in philosophy and classics, and
was a course away from a biochemistry major. I also completed an Honors business degree through the Hogan Entrepreneurial Leadership Program.
While at Gonzaga, I started a couple of businesses and helped found the New Venture Lab, a kind of venture studio model in the business school.
I got bit by the Lonergan bug and went to get a master's in cognitional theory from the philosophy department at Boston College.
I then went to law school at Boston College. To pay the bills, I drew on something I'd been doing as a side gig during undergrad. I had taught myself how to program on the web stack in high school, so I built websites and did design and development work.
While in grad school, I bumped into Paul Camacho, who now teaches philosophy at Villanova and is my best friend. We started an agency together, building sites for clients ranging from Fortune 500 companies to mom-and-pop shops.
We realized we were building out the same kind of functionality for many different customers, so we turned it into a B2B product company during my first year of law school. I got my JD, but never ended up practicing as an attorney because the business was doing well.
DH: How did you end up at Microsoft?
TB: I sold my company in 2015, did consulting work with T-Mobile, Disney, ESPN, and Intellectual Ventures, and taught data visualization and business intelligence at smaller universities in the Seattle area.
Then I started working for a client at a venture fund. They were shifting from a licensing-based model to a venture studio model, and because of my experience as a startup founder, they wanted me to help run operations during the transition. In five years, we spun out about two dozen companies that have raised over $700 million in outside capital in deep tech spaces like satellites, metamaterials, and nuclear ventures.
When we opted not to raise a fourth fund and were winding down operations, Microsoft reached out. I built the venture studio in the CTO's office. Instead of spinning companies out externally, we'd spin them out as internal businesses that would go live in other parts of the company. A handful of those are still growing across the company, generating hundreds of millions of dollars in revenue.
Now I mostly teach other incubation units inside the company how to follow our methodologies. I also run our monthly peer-reviewed conference in AI, machine learning, and data science.