Insights from the Reinsurance Outlook Europe Conference 2026
7 July, 2026
Last month we attended the Reinsurance Outlook Europe 2026 conference in Zurich. Many of the themes discussed felt familiar and echoed what we recently reported from the analogous USA conference. As the global reinsurance market becomes increasingly interconnected, it is perhaps unsurprising that conference agendas are converging too. AI is a dominant topic. Geopolitics, correlation and alternative capital remain top of mind.
In this note we offer thoughts to complement our recent post from the USA conference.
Industry focus has shifted from growth to profitability
Growth is no longer viewed as the primary objective. The market narrative is about risk-adjusted returns, bottom-line performance and capital efficiency rather than premium growth. The mindset has shifted to: “avoid risk-taking decisions today that you might regret five years from now”.
The challenge is building consensus among stakeholders that this is the right strategic choice.
It is an intricate problem that requires strong relationships in the market and proactive client management: winners will be seen as long-term, strategic partners, not as transactional capacity providers.
The market shift also places greater emphasis on internal governance and incentives (see next section on underwriting discipline).
Lastly, historically, shareholders and investors have placed emphasis on growth. To that end, stabilising (or shrinking) the portfolio may require careful shareholder management.
Balancing those competing pressures is likely to become increasingly important over the next phase of the cycle.
Strengthening underwriting discipline is a cultural challenge, not a modelling challenge
If profitability is the objective, underwriting discipline is the mechanism that enables it.
The conversation centred on culture, governance and incentives. Some argued that discipline rarely breaks down because firms lack information or analytical capability. More often, organisations reward the wrong behaviours or fail to create sufficient clarity around risk appetite.
As a result, maintaining discipline requires clarity on several high-level questions:
- How should underwriters be rewarded and incentivised?
- How should risk appetite be cascaded throughout the organisation?
- What authority limits are appropriate? What are the escalation pathways (and how do we ensure consistency)? What terms are non-negotiable?
Perhaps the ultimate test is being willing to walk away. Firms do not need to compete on price in every transaction. Instead, they need to understand where they can create value for their clients and where compromise undermines long-term performance.
AI is accelerating fast, but large-scale deployment is hard
Unsurprisingly, AI featured prominently and there was broad agreement that AI will drive significant productivity gains and ultimately become embedded across the industry. The debate has largely moved beyond whether AI matters.
The market is increasingly recognising that some AI capabilities will provide initial productivity gains and, over time, become table stakes. Other capabilities, however, will provide a long-term source of differentiation.
Interestingly, the level of AI optimism and perceived readiness varied between the plenary sessions and private conversations: whilst progress is being made and significant investment in AI is now on many corporate roadmaps, the shift to large-scale deployment remains hard in practice.
In many organisations, the early experimentation phase has generated numerous pilots, proofs of concept and often isolated use cases. The current challenge is building a coherent view of how these initiatives fit together and what the business should ultimately look like.
Beyond specific tech questions, executive teams are asking:
- How do we prioritise different AI use cases? In the short-term, should we focus on day-to-day tactical solutions or transformative capabilities?
- What should our target operating model be in an AI-enabled world?
- How do we embed AI in the organisation? What change management processes do we require?
Watch this space:
Oxbow Partners AI report will soon be published, providing our in-house perspective on strategic AI topics: Subscribe to receive this ahead of time.
Talent remains a strategic priority, but AI adds a new dimension
Talent has featured on the strategic agenda for a while and remains a major concern. Familiar challenges persist: “talent cliff”, cross-industry competition and the broader question of how the industry attracts the next generation of professionals.
AI adds a new dimension to the discussion.
As AI models become increasingly powerful, firms are questioning what the future workforce should look like. Which skills will remain critical? Which roles will be most impacted? How should talent strategies evolve? What is the future of the traditional apprenticeship model? How will organisations transfer decades of accumulated experience from one generation to the next?
The answers are not yet clear, but they are becoming increasingly urgent.
Adaptability is becoming even more important
The market is simultaneously navigating multiple shifts: changes in the market cycle, geopolitical uncertainty, increasing correlation, AI adoption and workforce transformation.
At the same time, the pace of change is accelerating.
The winners will be those that identify signals sooner, generate insights faster and translate decisions into action more effectively than their competitors. In a market defined by increasing uncertainty, shorter decision-making lifecycles will become a source of competitive advantage. That, in turn, requires clear strategic guardrails and an AI-ready operating model.
We will be exploring several of these themes in greater depth in our upcoming reports, particularly around the implementation of AI within the (re)insurance value chain.
In the meantime, if you would like to discuss any of these topics, please get in touch.