Amex Global Business Travel: The World’s First AI Take Private with Long Lake CEO Alexander Taubman

In this episode of No Priors, host Alon interviews Alex Taubman, co-founder and CEO of Long Lake Management, about their novel approach to AI-driven acquisitions. The centerpiece of the discussion is Long Lake's announced intent to acquire American Express Global Business Travel (AMEX GBT) for $6.3 billion, described as the world's first AI take private. AMEX GBT is a 111-year-old company originally founded in 1915 to help American Express Traveler's Check customers evacuate Europe during World War I.

Long Lake's core strategy revolves around their proprietary horizontal AI platform called Nexus, which is deployed across all acquired companies. Approximately 80% of the platform's infrastructure is shared across verticals, with the remaining 20% customized for each industry. The platform sits between AI models (which Long Lake uses in a model-agnostic fashion) and the data sources, workflows, and skills specific to each business. Early on, deploying this platform in a new acquisition took over a year, but the company has refined the process to the point where meaningful impact can be seen within days of a new acquisition.

A key differentiator of Long Lake's approach is its focus on growth and employee empowerment rather than traditional private equity cost-cutting. Taubman argues that making employees 30-40% more productive through AI allows companies to grow revenue with high incremental margins — similar to software companies — without needing to proportionally increase headcount. This has allowed their HOA business, for example, to grow from 0-5% annually to over 20% annually. Employee retention has also improved significantly, as workers find it difficult to return to less productive environments.

Taubman explains why Long Lake chose the acquisition model over selling software: ownership allows for deeper alignment, tighter engineering-to-employee feedback loops, and direct control over change management — which he identifies as one of the biggest barriers to AI adoption. The founding team was deliberately built to combine three rare competencies: private equity deal-making expertise (from firms like GTCR, Blackstone, and TPG), top-tier AI engineering talent (from companies like Palantir, Ramp, Robinhood, and Glean), and change management capability.

Long Lake's long-term vision is explicitly modeled after compounding operators like Danaher and Transdigm — building best-in-class companies across service verticals that they intend to hold indefinitely rather than flip. Taubman also emphasizes equity rollover participation from founders and management teams of acquired companies, framing Long Lake as a permanent capital partner. He sees AI as profoundly positive-sum: better tools lead to better employees, who attract better customers, who enable faster growth — creating a self-reinforcing flywheel.