On Air with Zuk on IT

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Is the insurance industry moving away from economies of scale and toward a new economy of specialization?

A Private Equity Perspective on Insurance AI: The current insurtech funding environment, where AI is actually producing value inside underwriting operations, and why many platforms struggle to move beyond document extraction into real workflow execution.

The Future of MGAs: Why Data and AI Will Decide Who Survives

Property rates are down. So why aren't owners feeling it?

The funding environment for insurtechs is currently "a tale of two cities," with ​newer AI-focused startups attracting growing interest while more ‌traditional insurance businesses struggle to secure early-stage capital

We dive into strategic shifts in our industry, the talent gap, the AI feedback loop, and how to leverage pattern recognition to drive alpha in a hard market.

The future of insurance through the lens of private equity, underwriting, MGA strategy, and AI, with insights from reinsurance, underwriting, corporate development, and insurance investing.

Why the Best MGAs Will Survive the Soft Market feat. Joe Zuk, Altamont Capital Partners. In this conversation, he shares what actually separates durable MGAs from businesses that only looked good when the market was doing the work for them.

In a recent interview on Sutton Capital's The Investor Podcast, I had the chance to discuss the critical, yet often overlooked, gap between an investment thesis and daily execution.

An insurtech "resurgence" is being driven by AI-enhanced underwriting, though human relationships remain the essential "risk fidelity." 

Insurtech & Innovation - listen to the podcast here

The Rise of MGAs, Sidecars & AI in Insurance 

What does your investor do when your startup misses budget? When the market shifts against you? When things go wrong that are completely outside your control?

Insurance used to be straightforward. Risks were predictable, policies were consistent, and underwriters could lean on decades of historical data to guide their decisions. Those days are over. 

Money moves fast in financial services, but moving money isn't enough. The real challenge is building something that lasts. 

How founders can build strong relationships with investors before and after raising capital. 

Why 2026 is the year for MGUs to scale, driven by the convergence of three powerful market forces: Capital, Technology, and Talent.

Everyone is excited about Large Language Models, but there’s a fundamental misunderstanding at the leadership level.

AI can read a submission in seconds, but it can't manufacture paper or trust.

One of the biggest shifts is happening in the insurance industry: the evolution of wholesale brokers into underwriting platforms.

What actually matters as underwriting discipline fades, capital flows back in, and the next phase of the insurance cycle takes shape.

It isn’t about whether technology will replace underwriters and brokers—it’s about how it will augment them. AI-driven triage, smarter segmentation, and removing operational hurdles.

Why we prioritize builders over talkers: When I’m evaluating a new partner, tool, or consultant, I don’t care how much they "know." I care about what they’ve actually built.

As the market shifts and rates begin to ease, many agencies might feel a sense of relief, but a soft market is actually when team weaknesses are most exposed.

Should you buy or build?

Every Company Has One Growth Bottleneck

Once the wire clears, everyone celebrates. But that is exactly when the real cost begins.

Trying to sell everything to everyone? You aren't growing faster—you're just becoming a generic commodity

Operators are trying to throw expensive AI models at messy, stale, and siloed data. But AI isn't a magic eraser.

First it was London. Then it was New York and the US dollar. Today, economic power is shifting and going multipolar—from Asia to Latin America.

If you think the MGA boom is just a US specialty insurance story, you're missing the bigger picture. The revolution has officially gone global.

A bad business isn't built overnight, it's built one tolerated exception at a time.

Confidence is not correctness. Fluency is not rigor. 

Capacity is easy to find. True alignment is not. 

Renewals and distribution are immensely valuable 

How do you broaden your ecosystem and treat data as a business strategy?