The underwriting cycle

Insurance markets oscillate between hard and soft phases. Knowing which phase you’re in shapes where capacity goes, how easy it is to launch a program, and how a novel risk gets placed. All STABLE.

Hard vs soft markets

	Hard market	Soft market
Capacity	Scarce	Abundant
Rates	Rising	Falling
Terms/conditions	Tighter (more exclusions, higher deductibles)	Looser
Underwriting	Stricter selection	Loose — competing for premium
Typical cause	After big losses / poor results / capital flight	After good results / capital inflow

What moves capital

Capital chases returns and flees losses. Catastrophes, adverse loss development, interest-rate moves, and reinsurance pricing all push capital in or out — and that flow is the cycle. STABLE

Where novel AI / Tech E&O sits

Novel, hard-to-price risks — and fears of adverse development (claims that grow worse over time, common in long-tail liability) — push capital toward:

• the hard end of the cycle (cautious capacity, higher rates), and
• the non-admitted / E&S market, which can write what the admitted market won’t. See 06 Surplus lines / E&S.

So a brand-new AI/healthcare Tech E&O program will likely launch into a relatively hard, E&S-flavored environment — which makes demonstrable risk controls (the Glacis schedule-rating-credit story, page 02) especially valuable: when capacity is cautious, proof of good risk is what unlocks it.

Why it matters for timing the MGA

• In a hard market, capacity is precious — a program that can prove a low loss ratio (via Glacis evidence) is more likely to secure and keep a fronting carrier and reinsurers. See 04 Reinsurance & capacity.
• In a soft market, competition is fierce on price — disciplined selection keeps the loss ratio healthy while competitors chase premium and over-extend.

Either way, the differentiator is evidence-driven selection, which is the Glacis edge regardless of cycle phase.

Next

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