Growth Insights for CEOs

The AI Training Economy: The Human Expertise Behind the Agent Revolution
The challenge of training AI models on human expertise is not new.What is new is that three college dropouts just built a $10 billion business by productizing that exact problem at scale.
Executive Takeaways
- The AI training economy is already here — and a $10 billion startup is proof.
- You can't have capable AI agents without well-trained models. Human expertise isn't being replaced; it's being harvested.
- Fast followers still have a window, but waiting another 18 months may mean competing on scale alone, not quality.
- Most organizations are underestimating the speed of this workforce transformation. The time to build AI fluency is now.
Recent Posts

An Inward Focus: How One Company Redefined Itself for Success
Mon, Feb 7, 2022 — It’s always interesting to me when the proverbial emperor is in search of new clothes. Like the time-honored fable, Cask – an innovative company that lives and works in the ServiceNow ecosystem – had done an outstanding job of enabling digital transformation for its clients. But when it came to telling their story and harnessing digital marketing tools to promote itself, it wasn’t quite as masterful. The story of how Cask evolved its brand and turned digital marketing into a dominant force in the ServiceNow space – leading to 40 percent year-over-year growth for four consecutive years – is an object lesson that is worth studying for any B2B leader.

Turning an Unknown Company into a Smoking Hot Startup
Wed, Aug 22, 2018 — How Chief Outsiders helped a technology company grow its quarterly bookings from $2K to $2M in its first year. Topline As a CEO or CMO of a young company with a shoestring budget you have plenty of choices, but not much room for error. This case study will explain how Leadcrunch found their way through strategic tradeoffs and increased their revenue by 1000% in less than a year. The key? Building a sustainable path to growth by balancing speed, quality, and the ability to scale.