Why Most Agencies Will Pick the Wrong AI Partner

Three months ago, Anthropic was worth three hundred and eighty billion dollars. Today it's worth a trillion.

In that same window, OpenAI dropped from a previous funding round valuation of eight hundred and fifty billion to secondary market bids in the low eight hundreds and falling.

The smartest money in the world just made a decision about which AI platform is going to be running business in five years.

And most agency owners haven't felt it yet.

There is a mistake most agency owners are about to make, and they will not see it coming until it is too expensive to undo.

They are picking AI tools the same way banks picked technology in 2010.

Back then, the biggest banks in the country chose their core systems based on what was flashy that year. Whichever vendor had the best sales team. Whichever platform had the feature their competitor was bragging about. Nobody asked the harder question: which of these vendors is going to still be here in ten years, and which ones are going to get replaced underneath us while we are mid-rebuild on top of their platform?

The ones that picked wrong spent the 2015 to 2020 window ripping out systems they had just finished installing. Millions of dollars. Thousands of hours. And during that rebuild window, their smaller competitors who had picked the right foundation were shipping product and eating their lunch.

The same cycle is about to happen with AI. Except it is going to happen in three years, not ten.

Here is what agency owners who build AI systems for a living understand that most agency owners shopping for AI tools do not.

You are not picking a tool. You are picking infrastructure. The AI platform you build on top of right now will dictate what kind of upgrades you get for free over the next five years. If the platform compounds, your agency compounds with it. If the platform falls behind, everything you built on top of it has to be rebuilt on a new foundation.

A certain type of agency owner is currently picking on features. Which AI is best at drafting emails right now. Which AI has the fanciest demo. That is the wrong question.

The right question is which AI partner has the capital, the research depth, the enterprise adoption, and the technical lead to still be the best choice in 2030. Because the agencies that built on that foundation will be the ones compounding. The ones that picked the flashier second-place option will spend 2028 and 2029 rebuilding what they just finished shipping.

The market just gave a pretty strong signal about which foundation is compounding. A trillion-dollar valuation in twelve weeks is not normal market movement. It is what happens when the people who actually have to pick winners, pick one.

Jensen Huang put a finer point on it this week. The CEO of the company that builds the hardware AI runs on said from the GTC stage: "Every SaaS company will become an agentic company." He was not describing a distant future. He was describing what is already being built underneath every piece of software your agency runs today. Your AMS. Your CRM. Your quoting platform. Your email.

The agencies that understand this now will shape how that transition happens inside their business. The agencies that do not will have it happen to them.

Insurity's 2026 AI in Insurance Report dropped this week with a number worth sitting with. 39% of consumers now say it is a good idea for their insurance company to use AI to improve services. In 2025, that number was 20%. Consumer resistance is also easing: last year 44% of consumers said they were less likely to buy a policy from an insurer that publicly used AI. In 2026, that figure dropped to 36%.

But the most useful finding is where the comfort line sits. 46% of consumers are comfortable with AI generating a quote. Only 16% are comfortable with AI canceling or renewing a policy without human involvement.

Why it matters for your agency: The window between "AI-assisted" and "AI-replaced" is exactly where independent agencies win. Consumers want the speed and accuracy that AI delivers on the back end. They still want a human on the relationship side. The agencies that deploy AI underneath the client experience while keeping the human on top of it are the ones consumers will choose in 2026 and beyond. That is a structural advantage that national carriers and direct-to-consumer platforms cannot easily replicate.

Jonathan Crystal runs Crystal Venture Partners, a fund that backs startups inside the insurance business. In a PYMNTS interview published Friday, he laid out the clearest version of the underwriting AI argument worth reading this week. His thesis: AI does not replace the pricing models insurers have spent centuries refining. What it does is execute those models correctly for the first time. The signal was always there. It just lived on page 847 of a thousand-page file that nobody had time to reach.

Why it matters for your agency: Crystal is describing the same dynamic at the agency level. The relationship intelligence your producers have built over decades is not being replaced. It is being executed properly for the first time. AI that surfaces the right client at the right renewal moment, flags the coverage gap before the claim happens, and drafts the follow-up before the producer even thinks to send it is not replacing the producer. It is finally letting the producer operate at the level they were always capable of.

Earlier this month, a federal judge granted Anthropic a preliminary injunction blocking the Trump administration's designation of the company as a national security supply-chain risk. The judge found the government's actions appeared designed to punish Anthropic for publicly criticizing the DOD's contracting position, and ruled that Anthropic had demonstrated the measures were likely unlawful and that the company was suffering irreparable harm.

Why it matters for your agency: This is a foundation stability signal. The AI partner you build your agency's operations on needs to be the kind of company that does not fold under political pressure. Anthropic took on the federal government, and a federal court ruled in its favor. The platform your agency runs on just survived an attempt to sideline it. That is a character signal about the company you are betting on.

The generative AI market in insurance hit $1.11 billion in 2025. By 2035, that number is projected to reach $14.35 billion, a compound annual growth rate of roughly 29% for a decade straight.

That is not a prediction about whether AI will matter in insurance. That is capital that has already been deployed based on certainty that it will.

The agencies that are moving now are not chasing a trend. They are getting in front of a freight train that the market already committed to. The ones that wait for proof will find the proof arrives in the form of a competitor who got there first.

A 29% CAGR compounding for ten years does not produce a slightly better agency. It produces a fundamentally different kind of agency. The agencies inside that compounding curve and the agencies outside it will not be competing for the same clients by 2030. They will be operating in different markets entirely.

Replacing the usual Tool Comparison this week with something more useful: a shortlist of questions that actually predict whether an AI partner will still be the right choice in 2030. Features change every three months. The answers to these questions do not.

Capital depth. Does this company have the funding to survive a three-year AI winter if one comes? Foundation-level platforms need enough runway to keep investing in research even when the hype cycle cools.

Research lead. Is this company publishing state-of-the-art research, or chasing it? Platforms that lead on research tend to lead on capability.

Enterprise adoption. Who is actually building on top of this platform? If the top AI-native startups and Fortune 500 companies are choosing it, that is a strong signal. If only consumer apps are using it, that is a different signal.

Reasoning quality on your actual work.Feature demos are staged. Run both platforms on the exact kind of messy, context-heavy work your agency actually does. The one that handles nuance without hallucinating wins.

Model release cadence. How often is this company shipping meaningful capability upgrades? The platforms that improve every three months are the ones your agency benefits from automatically. The ones shipping cosmetic updates are losing ground.

The trust question. If this company's leadership said something uncomfortable publicly, would you believe them? The platforms that are honest about limitations are the ones building something real. The ones that overpromise are the ones that get replaced.

The legal pressure test. Has this company been tested under real pressure and held its position? A platform that folds when things get difficult is not the foundation you want your agency's operations sitting on.

This is the framework used to pick the foundation CloseMode AI runs on. Nothing exotic about it. The same logic you would use to pick any infrastructure partner for a decade-long commitment.

The agencies that use a framework like this are the ones compounding. The agencies picking on features are the ones rebuilding.

The agencies that win this decade will be the ones that read the field correctly and move early.

If you want to know what AI could actually automate inside your agency, built on a foundation that compounds, book a free Agency AI Audit at closemodeai.com.

Eight minutes. Forty questions. No sales call.

Just signal.