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As PPL celebrates its tenth anniversary, CEO John Mason looks ahead to the next chapter for London’s specialty insurance market. Building on its unique concentration of expertise, he believes the opportunity is to combine human judgement with data-driven precision to make London the most connected specialty trading hub.
Key takeaways
Digital trading could combine London’s unique concentration of specialty insurance expertise with data-driven precision, helping strengthen its position and capture a greater share of the global specialty market.
Data and AI can move digital transformation into the front office, automating mechanistic tasks while increasing the value of human judgement, advisory expertise and relationships.
As a market-owned infrastructure and technology provider, our ambition at PPL is to become part of the fabric of front-office trading, delivering direct value to brokers and underwriters.
Has London digitised placement without transforming trading?
London has spent years digitising insurance placement. But digitisation and transformation are not the same thing.
I see existing placing platforms as, in effect, “digital filing cabinets”: highly effective at recording the outcome of a transaction but capturing only a fraction of the intelligence generated while a risk is being traded.
Months of conversations and negotiations can end with a handful of recorded data points. Which markets showed interest, who declined, how quickly they responded and how negotiations developed can remain scattered across emails, messages, notes and conversations.
The opportunity is to turn that information into usable intelligence. I believe we need to move beyond recording transactions electronically after the event and towards trading electronically, putting data directly to work in the front office.
Data and digital transformation should enhance the front office and the value that brokers and underwriters create for their clients.
Could digital trading make London’s expertise more valuable?
London’s specialty market has long competed on expertise, relationships, capacity and its ability to solve complex risks. I believe digital transformation can reinforce that advantage rather than erode it.
Better access to historical pricing, appetite, response times and trading behaviour could help brokers identify potential counterparties and approach negotiations with a richer picture of the market. Carriers could gain greater visibility not only into risk, but into the operational characteristics of the business they receive.
The prize is not simply efficiency. Connecting London’s concentration of human expertise with data-driven trading could make that expertise more scalable and provide a greater ability to attract complex risks and capital to London.
If technology can find the price, where does the broker add value?
I believe our industry must embrace the experience economy.
If a broker perceives their role as principally focused on finding the best price in the market, I believe AI could become very good at doing precisely that, potentially more efficiently than the broker.
However, rather than seeing AI as diminishing the role of the broker, I see an opportunity to focus on where human value truly lies. This means shifting towards a more advisory and consultative client experience, focused on assessing risk appetite and negotiating innovative risk transfer approaches.
At the same time, data and algorithms could support the broker as a digitally enabled trader: identifying potential leaders and followers, benchmarking market behaviour and informing more precise allocation of capacity.
The mechanistic elements may become increasingly automated. Judgement, relationships and the ability to understand what a client is trying to achieve become harder currency.
What if AI sits in the human loop — not the other way around?
That distinction is central to how I think about AI.
Rather than keeping a “human in the loop” of an AI-led process, I believe we should put AI in the human loop. The human controls the process and brings AI in where it can analyse information, remove repetitive work or strengthen a decision.
For me, AI is about decision-support capability rather than decision-replacing capability.
At PPL, we are already applying that principle. Generative AI can extract relevant information from emails and Teams conversations and offer it to users to update underlying records, reducing manual entry and unnecessary movement between applications.
Agentic technology could go further, completing routine processes across systems while leaving brokers and underwriters to concentrate on the areas where they differentiate themselves.
Could brokers one day ask: ‘Where’s my PPL?’
Technology only transforms a market when people choose to make it part of how they work.
I often draw an analogy with Bloomberg. A trader entering a new firm expects access to it because it has become integral to the job. My ambition is for brokers and underwriters eventually to ask the same question: “Where’s my PPL?”
With MarketCanvas, we are working towards that kind of front-office environment: personalised around the user and bringing together capabilities that might otherwise require multiple applications.
Our aspiration goes beyond another interface. I see the potential network effect more simply: “If I’m on PPL, I’m in the market.”
Why is PPL in a distinctive position to help drive that change?
I believe market ownership is at the heart of what makes PPL distinctive.
Our unique proposition is that we can become a trusted infrastructure provider precisely because we are owned by the market. That means our governance and intent always retain a focus on what benefits the wider marketplace.
Alongside that role, I see PPL as an increasingly agile technology provider, capable of reinvesting our revenue to drive technology innovation designed specifically for the needs of London’s brokers and underwriters.
Our opportunity now is to take that position into the front office, moving from infrastructure sitting behind electronic placement towards something embedded in the daily life of brokers and underwriters.
And our ambition reaches beyond PPL itself. If London can combine its unique concentration of expertise with more connected, data-driven trading, I believe we can attract more specialty risk and capital and strengthen our share of the global market.
London already has the expertise. Our next challenge at PPL is to help put the technology and data around it, enabling digital trading to become not simply a way to record transactions, but a way for the market to compete for and trade specialty risk.