The insurance industry is bringing AI into its operations, but the challenge now is scaling it
Artificial intelligence is no longer an experiment for insurers: it is becoming part of day-to-day operations. From underwriting and risk assessment to claims management and customer service, companies are adopting tools capable of processing information and automating tasks that, for years, relied on manual processes. It is a change taking place in a particular industry: […]
Artificial intelligence is now an integral part of insurance operations, from underwriting to customer service. A Deloitte survey shows that 76% of U.S. insurance executives have already implemented generative AI in at least one business function. However, the challenge remains in scaling these AI tools for widespread use. The insurance sector faces economic pressure, with global premiums projected to grow by only 1.3% in 2026, down from 3.9% in 2025.
Venture capital funding for insurance startups has also declined, with only $3.9 billion raised in 2025 compared to a peak of $15 billion in 2021. Despite this, AI and automation continue to be a focus in significant funding rounds, particularly in underwriting, claims processing, and risk assessment. The industry is shifting from experimental adoption to implementation, but this transition is complicated by factors such as resources, responsibilities, return on investment, and technological readiness.
Companies like GetCovered are addressing these challenges by focusing on building repeatable and scalable workflows early in their growth, integrating compliance into their operations, and ensuring that AI models follow specific rules and human supervision is in place.
Written by urgent.news from Contxto's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
