As a seasoned strategist in the landscape of insurance-sector corporate finance, Simon Glairy has spent years navigating the intersection of institutional investment and specialty risk. His perspective is particularly vital today, as the brokerage world undergoes a massive transformation driven by private equity and the rapid emergence of high-tech exposures. We recently sat down with him to discuss the recent recapitalization of IMA Financial Group, exploring how a firm manages to scale revenue by 400% while keeping its keys in the hands of its employees. Our conversation delved into the intricacies of employee-led governance, the immense insurance needs of a $900 billion AI infrastructure market, and the tactical deployment of capital to outpace legacy competitors in a consolidating industry.
Keeping 3,000 associates as majority owners while bringing in major private equity backers involves complex governance. How does this structure influence your recruiting strategy against consolidated firms, and what specific operational trade-offs occur when balancing employee interests with the expectations of institutional investors?
The decision to keep the majority of equity in the hands of more than 3,000 associates is our most powerful weapon in the war for talent. When we sit down with a prospective hire, we aren’t offering them a seat on a bus owned by a distant conglomerate; we are offering them a deed to the house. This ownership culture creates a visceral sense of pride and accountability that you simply cannot replicate in a traditional, top-down consolidated firm. Operationally, the trade-off requires a high degree of transparency and a longer-term horizon for success, which is why choosing the right minority partners was so critical. By bringing in Oak Hill and New Mountain, we have the institutional discipline and capital to scale, but the 3,000 employee-owners ensure that our “people-first” culture remains the ultimate North Star, preventing the cold, purely numeric decision-making that often erodes service quality in PE-led roll-ups.
Scaling revenue by 400% and quadrupling headcount since 2020 often puts immense pressure on a regional culture. What specific metrics do you track to ensure client service remains consistent, and how do you integrate new offices into a national platform without losing their local technical expertise?
Growing from a regional shop of 700 associates to a national powerhouse of over 3,000 in just four years is a high-wire act that requires more than just a strong balance sheet. We focus heavily on organic production and retention rates as our primary barometers, ensuring that even as we acquire and expand, the core of our business remains healthy and client-focused. To preserve local technical expertise, we avoid the “cookie-cutter” approach typical of many national platforms; instead, we treat our regional offices as specialized hubs that feed into a broader resource network. This allows a local broker to maintain their deep community ties while suddenly having access to the heavy-duty technical tools of a $400% larger organization. It is a delicate balance of providing national-level scale—like our advanced risk management and investment advisory services—without silencing the local voices that built the firm’s reputation.
AI-centric infrastructure spend is projected to reach nearly $1 trillion by 2029, creating a massive need for specialized coverage. Given your experience structuring multi-billion-dollar programs for data centers, how are you evolving your cyber and parametric offerings to address the unique risks of high-density AI computing?
The sheer scale of the AI revolution is staggering, with IDC estimating that AI-centric infrastructure spend hit $90 billion in the fourth quarter of 2025 alone. To meet this, we’ve had to evolve far beyond traditional property and casualty products, as evidenced by our recent structuring of a $4 billion property insurance program for a single AI data center. We are leaning heavily into parametric business interruption, which allows for immediate liquidity based on specific triggers rather than lengthy claims adjustments, a necessity for high-density computing environments where downtime costs are astronomical. Our data center practice now integrates builders risk, cyber, and technology liability with E&O and D&O to create a seamless shield against the volatile risks of the digital frontier. This isn’t just about selling a policy; it’s about engineering a complex financial structure that can withstand the unique physical and digital stresses of the AI era.
The current recapitalization aims to fuel heavy investments in technology and talent. What specific types of AI-era exposures are you prioritizing for your next phase of development, and how will you allocate this new capital to differentiate your technical expertise from larger, legacy competitors?
With the new capital from Oak Hill, New Mountain, and HarbourVest, we are doubling down on the “technical expertise” that legacy brokers often overlook in favor of sheer volume. We are specifically prioritizing exposures related to the convergence of physical and digital infrastructure—areas like the complex crime risks associated with AI-driven fraud and the unique errors and omissions liabilities of automated decision-making. We plan to allocate this capital toward building proprietary risk-modeling technology and hiring top-tier specialists who understand the mechanics of high-density computing better than a generalist agent ever could. By investing in these niche verticals now, we differentiate ourselves as a sophisticated advisor rather than just a transaction handler. Our goal is to provide the kind of nuanced, data-driven insight that helps a client manage the nearly $900 billion in cumulative spend expected by 2029, proving that we can be more agile and technically proficient than the “big three” legacy firms.
What is your forecast for the US insurance brokerage market?
I anticipate a significant bifurcation in the market where “the middle” becomes a very difficult place to exist. We will see a clear divide between the massive, consolidated legacy giants and the highly specialized, employee-owned firms like ours that have the scale to compete but the agility to innovate. As AI infrastructure spend continues to climb toward that $1 trillion mark, the firms that win will be those that have spent the last few years aggressively recruiting talent and building specialized practices in cyber and parametric risk. Independence will become the ultimate premium; while others are distracted by the complexities of integration and debt service, the firms that prioritize their people and their technical vision will dominate the next decade of American insurance. The era of the generalist broker is fading, and the era of the tech-enabled, specialist partner is just beginning.
