WTW funds Cornell catastrophe research and reports $170,000 US AI median pay
WTW funded a one-year partnership with Cornell University to research evolving correlated catastrophe risks, aiming to enhance insurers’ aggregated exposure modeling for synchronized perils. WTW’s AI Salary Survey finds US machine learning roles’ median total compensation exceeding $170,000, with Mexico posting 19% salary growth and 29% total compensation gains.
1. Cornell Partnership to Model Correlated Catastrophes
WTW has entered a one-year funding agreement with Cornell University and the Atkinson Center to analyze evolving correlations among major perils such as tropical cyclones, wildfires and severe storms, with the goal of improving insurers’ aggregated exposure models.
2. AI Salary Survey Results
WTW’s latest AI Salary Survey reveals US machine learning mid-level experts earn median total compensation over $170,000, Germany and the UK at about $122,000 and $100,000 respectively, while Mexico leads with 19% salary growth and 29% total compensation increase year-over-year.