Billionaire Buys Up Companies to Replace Workers With AI and Build an Automated Empire
Tech billionaire Elad Gil buys service businesses to run with AI, automating tasks and cutting staff. This bold strategy bets on AI improving efficiency and profits.

A Billionaire's Bold Move: Buying Businesses to Run Them with AI
Private equity has been a hot topic lately, often described as "termite capitalism" for its tendency to dismantle companies from the inside out. Typically, private equity firms buy established businesses—anything from municipal utilities to retirement homes—with the goal of flipping them for profit. While flipping a house usually involves repairs and improvements, private equity sometimes strips companies of assets and cuts jobs, prioritizing short-term gains over long-term health.
Elad Gil, a tech billionaire and venture capitalist, is taking a different approach. Instead of avoiding technology, he’s investing in AI to reshape the businesses he acquires. His strategy involves buying stable, white-collar companies such as law firms or marketing agencies, then automating many of their functions using AI tools. This often means reducing staff and replacing human labor with AI-driven processes.
How This AI-Driven Buyout Works
- Acquire cash-flow-positive, service-oriented businesses.
- Apply AI to automate tasks like text processing, audio and video editing, coding, and sales.
- Cut costs by reducing human labor and streamlining operations.
- Use the increased profits to buy more companies, building an interconnected empire.
This model mirrors the traditional "roll-up" strategy common in private equity, where small firms are merged into larger groups to scale operations and boost profits. The twist here is the heavy reliance on AI to cut costs and boost margins.
The Risks and Realities of AI-Driven Automation
Gil believes AI can dramatically reshape cost structures and improve efficiency. He argues that unlike past tech-enabled roll-ups, which often only superficially integrated technology, AI offers genuine operational transformation.
However, AI tools currently struggle with many of the tasks Gil targets—like natural language manipulation and creative coding. Experts suggest competition in the AI space and the limitations of current models could make this approach risky. Success depends largely on AI’s ability to improve significantly.
What This Means for IT and Development Professionals
If AI-driven automation becomes more common in service industries, expect changes in how white-collar work is performed. Roles involving repetitive or process-driven tasks may shrink, while demand for AI-savvy professionals will rise.
For those in IT and development, this signals an opportunity to focus on AI integration, management, and improvement. Learning to work alongside AI tools and understanding their limitations can provide a competitive edge.
To explore AI courses that cover automation, prompt engineering, and AI tools, check out Complete AI Training’s latest offerings.
Final Thoughts
Elad Gil’s strategy is a high-stakes bet on AI’s potential to disrupt traditional business models. While it echoes familiar private equity tactics, the reliance on AI injects uncertainty and opportunity. For tech professionals, staying informed and skilled in AI technologies will be crucial as these shifts unfold.