The Earnix Blog: Resources for Insurance and Banking Leaders

Beyond the Hard Market: The Commercial Lines Playbook for 2026 and Beyond

June 30, 2026

By Mark Breading

As the commercial insurance market shifts beyond the hard market, carriers must balance pricing precision, underwriting transformation, and AI-driven decisioning to stay competitive. Discover the key trends, technologies, and capabilities shaping commercial lines success in 2026 and beyond.

Why Demand & Elasticity Modeling Falls Short in Auto Lending - and How to Fix It

June 25, 2026

By Will Ely

Demand and price elasticity models promise data-driven lending decisions, but real-world auto lending is far more complex. Discover why traditional approaches often fall short and explore practical strategies to build more accurate, actionable pricing models.

Mercedes Benz Parked in a Row

June 4, 2026

By Will Ely

Auto lenders can no longer treat pricing and credit as separate decisions. This post explores why modern risk-based pricing requires a connected, full-funnel approach that balances affordability, portfolio risk, profitability, and customer behavior - and how unified analytics, simulation, and personalized offer structures can help lenders compete more effectively.

Amazed formal male looking at laptop screen

April 29, 2026

By Peter Bammodu

Insurance transformation often stalls between pricing insight and execution. Learn how insurers can close the gap with unified workflows, real-time deployment, embedded governance, and operationalized AI.

A More Practical Approach to Pricing Optimization

April 26, 2026

By Earnix Team

Learn how Earnix Pricing Accelerator helps auto and consumer lending teams analyze, simulate, and deploy pricing strategies faster, with granular segmentation, integrated modeling workflows, and continuous optimization.

Pricing in Motion: Rethinking Loss Trends in an Unstable World

April 24, 2026

By Aaron Wright

Explore how global instability is reshaping auto and property loss trends. Learn how actuaries can adapt pricing, severity assumptions, and scenario planning in an unpredictable market.