Gelila is the Head of AI Strategy at Union Square Advisors.
She started her career at BlackRock, partnering with the world’s largest sovereign wealth funds, foundations, and endowments. Over the years, she worked as a search fund entrepreneur at Aone Partners and also served as a Director at a high growth software holding company that acquires and scales vertical market SaaS businesses.
She has published studies on technology businesses with Stanford University faculty and Harvard Business Review, covering IPO strategy, venture capital, and M&A. These are taught in Stanford's flagship entrepreneurship courses.
Gelila earned an MBA from Stanford’s Graduate School of Business and a BA in Economics and Computer Science from Columbia University, where she was a Kluge Scholar.
Gelila writes a column with Forbes on AI in private markets. She is interested in emerging technologies and new models of capital allocation that are shaping financial markets. She grew up in Addis Ababa and lives in New York.
AI in Investment Banking
Lecture on assessing AI value creation across investment portfolios and building the firm’s AI Center
AI and Private Equity Investing
Panel on AI in deal origination and M&A workflows
High Density Data-Centers for AI and Advanced Computing
Panel on evaluating investment opportunities in high-density data centers for AI and advanced computing
Data-Driven Dealmaking and AI Across the Deal Lifecycle
AI in investment assessment, data-driven investing and M&A diligence
The AI Ecosystem in Five Charts
The investments, supply agreements and distribution relationships linking chipmakers, cloud platforms and AI labs.
How AI Labs Are Solving the Last Mile Problem
The role of forward-deployed engineers in adapting AI models to company systems and maintaining them in production.
AI Value Creation Moves to Services
AI adoption in services businesses and its implications for operations, owner dependence and business value.
Publications
Case Studies Developed With Stanford University Faculty.
Full published studies archive