Equity partner reward in the age of AI disruption: what the survey data tells us

Every profession eventually confronts a moment when the systems built for one era stop serving the next. For professional services firms, that moment has arrived. Generative AI is reshaping how work gets done, private equity has changed the competitive landscape for talent, and clients keep expecting more for less. Against this backdrop, a natural question follows: is the way firms reward their equity partners keeping pace?
‍
Performance Leader and our long-time research collaborators at MHPR Advisors set out to answer that question in the 2026 Equity Partner Contribution and Compensation Survey, the fourth in a research series that began in 2015. More than 140 firms took part, weighted towards legal and accounting practices across the UK, Europe and Australia. The findings offer a useful health check for any managing partner, board or RemCom member, CFO and CPO thinking about where their reward model needs to go next.
‍
Merit is now the default, and the gaps are widening
The long march away from tenure-based lockstep to merit-based systems is essentially complete. Over 80% of respondent firms now operate a form of merit-based profit sharing, with financially focused meritocracies the most common variant. We include managed locksteps with genuine movement up and down in the merit-based category.

Alongside this shift, equity spreads have widened markedly. A third of firms now operate a top-to-bottom dispersion above 5:1, up sharply from 2020, and larger firms are increasingly comfortable with spreads of 10:1 or more.
‍
This is not uniform across geographies. UK and Irish firms, once known for tightly compressed spreads, have moved decisively towards wider dispersion, with 38% now above 5:1. Australia and New Zealand remain the most egalitarian region, with 62% of firms below 3:1. The driver in every market is the same: competitive pressure from US firms and private equity-backed entrants has made it harder for firms with compressed reward structures to hold on to top talent. That competition has hit premium UK firms particularly hard.
‍
Wider dispersion is not inherently a problem. But it raises the bar for the evaluative process that sits behind it. A merit system that differentiates more sharply between partners needs a more rigorous and defensible basis for those decisions. Only with this underlying confidence can firms maintain partnership cohesion.
‍
Reward systems are not yet built for an AI-enabled firm
Perhaps the most striking finding concerns AI adoption. Only 21% of respondents said their partner compensation system is designed to encourage partners to experiment with AI in how their teams deliver services. Some 43% actively disagreed.
‍
Firms are investing heavily in AI capability, yet many reward systems continue to penalise the short-term productivity dip that comes with any genuine experimentation. If partners are compensated on last quarter's output, the incentive is to avoid the very risk-taking that AI adoption requires. Interestingly, this is a problem felt most acutely by mid-sized firms (26 to 300 partners), who report the lowest levels of AI-friendly reward design at just 15%, compared with 38% among firms with more than 300 partners. The middle of the market appears to be squeezed, lacking the agility of smaller practices and the resources of the largest global partnerships.
‍
There are options, but they require a broadening of contribution metrics or the designation of time. Our survey showed the continuing dominance of traditional revenue metrics, followed by origination. Profit was not nearly as prominent as it should be, given the strategic focus on profitability for the past 20 years and the fact that equity partner reward is about distributing profits.
‍
Formal reviews still struggle with the hard conversations
Across all four surveys since 2015, one finding has proven remarkably consistent: addressing poor performance is the weakest link in the formal partner review process. In 2026, the review process scores only 60% on addressing underperformance specifically. Firms are good at recognising strong performers. They remain far less confident about having the direct, honest conversations that partnership peer dynamics tend to discourage.

This matters more, not less, as merit-based systems mature. A reward model that differentiates sharply between partners depends on an evaluative process that can credibly identify where contribution falls short, not just where it excels. Without that, wider equity spreads risk being seen as arbitrary rather than justified.
‍
The execution gap
When asked about priorities for the next 12 to 24 months, two answers dominated: aligning partner contribution metrics with firm strategy (76%) and increasing accountability for performance (70%). The alignment priority ties into our earlier observation about the gap between partner reward and AI strategy. The accountability priority is an interesting one, because term accountability is loaded in professional firms. Does it mean work harder or do more? Or does it mean something more sustainable, like work smarter and be more aligned on outcomes? Our work focusses on the latter. Simply asking everyone to work more hours seems like a missed opportunity in this time of potential transformation.
‍
At recent briefing events in London to discuss our research, one question came up again and again: how do firms move beyond financial metrics, and where do they find the data to do it credibly? It is a fair question, and one that speaks to a broader theme running through this year's findings. Firms know what good reward design looks like. What they lack is the method, the data and the governance to put it into practice with confidence. This isn’t as hard as it seems. Finding a finite number of financial and non-financial metrics to apply to partner performance is possible. The financial metrics are well-known and just need to be narrowed. Non-financial metrics are less well-known, but many of them likely live already in the firm. From NPS to engagement scores to collaboration metrics: they exist.
‍
Steps you can take, and how our software relates
The findings point towards a few concrete actions worth considering.
‍
Revisit what your system actually measures. A balanced scorecard approach, drawing on both financial and non-financial contribution areas such as client relationships, collaboration and innovation, gives committees a fuller and more forward-looking picture. Our Performance platform is built around exactly this kind of multi-factor evaluation, making it straightforward to bring qualitative and quantitative inputs together in one place, without adding to the administrative burden on partners or partner-leaders.
‍
Stress-test your reward model against your AI strategy. Before investing further in AI capability, ask whether your compensation system rewards or penalises the experimentation needed to embed it. Small adjustments to how innovation and adaptability are factored into the contribution framework can go a long way towards aligning incentives with strategic intent.
‍
Strengthen the evaluative process behind reward decisions. As equity spreads widen, the quality and defensibility of the underlying assessment matters more, not less. Our RemCom platform is designed to support exactly this: it consolidates self-assessments, leader evaluations, peer feedback and financial data into a single view, and uses AI to summarise qualitative feedback so committee members can focus their time on discernment rather than data-wrangling. Built-in comparison tools and audit trails help committees calibrate decisions consistently across cohorts and demonstrate the rigour behind each outcome.
‍
Connect the reward conversation to the strategy conversation. Aligning contribution metrics to strategy was this year's top priority, and for good reason. This is not solely a compensation system exercise. It starts with a clear contribution framework, continues through regular check-ins between partners and leaders, and concludes with a remuneration committee that treats reward decisions as an extension of strategic intent rather than an annual, backward-looking formality.
‍
The direction of travel across the profession is clear: firms with strong leadership, sound strategy and effective systems continue to adapt regardless of external disruption. The challenge is for the contribution and reward system to keep pace. Our thanks to our survey respondents, our survey co-authors MHPR Advisors, and our collaboration partners.
‍
If you’d like to discuss the findings, please get in touch. We’re here to help your firm both strategise and operationalise a better approach for an AI world.
‍
To download the report, click here

‍