Inside the Secret Industry Where Hedge Funds Pay Experts $1,000 an Hour
Right now, somewhere, a hedge fund analyst is on a phone call with a recently retired semiconductor executive, paying by the minute for a single sentence that won’t appear in any earnings report. No law is being broken. This is just how the smartest money on earth does its homework.
Welcome to the world of expert networks, a multi-billion-dollar industry most people have never heard of, even though it quietly shapes some of the largest investment decisions on the planet.
The model is deceptively simple. Firms like GLG, AlphaSights, and Guidepoint maintain vast rosters of vetted specialists, former executives, doctors, engineers, supply-chain managers, and connect them, for a fee, to investors who want to understand an industry from the inside. The first such firm, GLG, launched in 1998 and now holds over a million experts across more than 150 countries.
And the rates are eye-watering. A premium network like GLG can charge around $1,350 per hour for a single expert consultation, while boutique networks typically run $1,000–2,500 an hour. In high-stakes hedge fund work, rates can exceed $5,000 an hour. The expert keeps a share; the network keeps the rest.
This isn’t a fringe business. The global expert network market is valued at roughly $4.86 billion in 2026 and is growing at around 16% a year, with the US alone accounting for about $1.8 billion. What was once a secretive hedge fund tool is now a standard due-diligence step for private equity, consultancies, and corporate strategy teams.
But here’s the part that makes this industry genuinely fascinating: it almost destroyed itself.
In the early 2010s, expert networks sat at the center of the biggest insider-trading crackdown in American history. The Galleon Group case against founder Raj Rajaratnam produced one of the largest insider-trading prosecutions ever recorded. Then came SAC Capital, which pleaded guilty and paid a $1.8 billion settlement after eight employees were implicated, one of them convicted in a scheme involving leaked Alzheimer’s drug-trial results that prosecutors called among the most profitable ever. Federal prosecutors then turned directly on the expert network firms themselves, charging executives at firms like Primary Global Research with brokering illegal stock tips sourced from insiders at Dell, AMD, and others.
At the heart of it all was a single concept: the mosaic theory. The idea that an investor can legally assemble many small, individually immaterial data points into a bigger predictive picture is perfectly legal. Paying someone for material non-public information is not. The scandals were about crossing that invisible line.
So the industry rebuilt itself. In the years since, expert networks have wrapped themselves in compliance: rigorous expert vetting, conflict-of-interest checks, signed confidentiality terms, recorded calls, and mandatory training on what can and cannot be discussed. The business didn’t shrink, it professionalized, and then it boomed.
And in 2026, there’s a new reason it’s thriving. As AI makes public information instant, free, and commoditized, the one edge nobody can download is proprietary human insight, the knowledge locked inside an expert’s head that has never been published anywhere. The more AI knows, the more valuable the things it doesn’t know become.
Which is why the next billion-dollar decision probably won’t come from a Google search or an AI summary. It’ll come from a one-hour phone call with someone who knows something the rest of the market doesn’t, and is being paid very, very well to say it out loud.
