The conversation about artificial intelligence has spent the last several years near the foundation model frontier. The opportunity for long-term capital, in our view, is one layer up: the embedding of applied AI into the operating fabric of traditional industries.
Manufacturing, insurance, healthcare, logistics, financial services — these industries do not need a chatbot. They need decision systems that can ingest decades of operational data, learn from outcomes, and produce continuously calibrated recommendations to the humans running the business. The shift is from AI as a feature to AI as an operating layer.
What earns durable advantage
The platforms that earn durable advantage in this layer share three characteristics. They sit close to a high-frequency operational decision (claims, dispatch, underwriting, scheduling). They have access to proprietary, long-tailed data that is not replicable by their competitors. And they integrate deeply enough with operating workflows that switching cost is structural, not promotional.
The shift is from AI as a feature to AI as an operating layer.
Operating posture
Our posture across the portfolio is to invest where applied AI has the chance to become structurally embedded. That means partnering with operators who treat AI not as a moonshot, but as a discipline — instrumented, governed, measured against the same operating metrics as the rest of the business.