Executive Summary

Artificial intelligence (AI) is reshaping capital markets at a pace surpassing governance frameworks, workforce adaptation, and traditional role design.

In the near term, AI primarily augments professionals and improves productivity rather than replacing roles. Over time, however, its impact is more disruptive — automating standardized work, reshaping teams, and widening differentiation between high- and low-value roles.

Key Takeaways

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AI augments roles first, then drives structural redesign

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Relationship- and judgment-intensive roles endure longest

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Leadership capability, not technology, is the primary constraint on successful adoption

Our latest report examines how AI will reshape skills and leadership requirements over the next decade with a focus on seven senior key capital markets roles:

Investment Bankers

Wealth Advisors

Bond Traders

Investment Research Analysts

Fund Managers

Chief Compliance Officers

Institutional Equity Salesperson

The Current AI Landscape

AI adoption across financial services has moved rapidly from experimentation to early institutionalization. 

Where AI is today in financial services

Canadian institutions have taken a more cautious, risk-first approach than their U.S. counterparts, raising questions on whether AI-integration will occur fast enough for organizations to remain competitive, while managing workforce transition responsibly within a comparatively cautious regulatory environment.

 

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Regulators are tasked with shaping oversight, regulation, and guidance that enable responsible AI innovation and adoption in Canada, ensuring its benefits — including improved operational efficiency and accuracy, enhanced trade surveillance and market-manipulation detection, and stronger advisory and customer service capabilities — are realized while safeguarding investors and the integrity of Canada’s capital markets.

Where is focus shifting?

We asked senior leaders across Canada’s financial services sector: which area do you expect to have the greatest impact on your organization in the year ahead? 

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AI, automation, and digital transformation

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Productivity, cost management, and operating model redesign

SOURCE: Massey Henry Executive Talent Survey 2026.

AI’s Unique Impact on Capital Markets

Capital markets roles are uniquely exposed to AI-driven disruption due to their data intensity, regulatory oversight, speed of execution, and margin pressure. 

According to a KPMG (2025) Financial Planning Survey, while younger Canadians are adopting digital tools, the majority of the population still values human expertise in financial planning:

  • Human Preference: 54% prefer face-to-face interaction.
  • Generational Split: Baby Boomers favour human advisors (56%), Gen Z leans digital (54%).
  • High Net Worth individuals strongly prefer in-person, personalized service.
  • 64% of respondents say personalized, human-driven plans are essential.

Overall, empathy and expertise from in-person advisors remain critical, especially for complex or long-term planning. 

SOURCE: KPMG Financial Planning Survey 2025. 

Outlook for Capital Markets Roles: 2026 – 2036+

Short-Term Outlook (0–2 years)
AI primarily augments existing roles, with senior professionals largely insulated as tools reduce time spent on routine analysis, reporting, and monitoring.
Medium-Term Outlook (3–5 years)
Structural change accelerates as role redesign and consolidation take hold. Generalist execution roles face increasing pressure as standardized work is absorbed at scale and teams become leaner and more technology intensive.
Long-Term Outlook (10+ years)
AI drives fundamental changes across front-, middle-, and back-office functions. Teams become smaller and more selective, with a premium placed on professionals who deliver irreplaceable human value — strategic insight, complex judgment, and trusted advisory.

Role Impact Assessment Across Capital Markets

We assessed AI’s impact across seven senior capital markets roles in Canada over short-, medium-, and long-term horizons.

Role-by-role summary

SOURCE: AI-generated visualization based on original, independent research by Massey Henry.

How will these roles endure in the medium-term?

These roles are relationship-intensive and rely heavily on human judgment in complex, high-stakes situations. Senior demand is expected to remain stable or grow, even as supporting teams become leaner.
High Disruption & Transformation
  • Investment Bankers & Research Analysts: AI agents are rapidly taking over valuation modeling and data synthesis, leading to leaner teams and a "Negative" medium-term trajectory for traditional execution roles.
  • Bond Traders & Equity Sales: These roles see early impacts as algorithmic systems handle routine work. Automation continues to compress margins in trading and sales, accelerating headcount reductions and pushing surviving roles toward advisory and specialized niches.
Stable Augmentation
  • Wealth & Fund Managers: Disruption remains "Low" and "Positive" as AI automates back-office tasks like rebalancing, freeing managers to focus on client service and complex strategy.
  • Chief Compliance Officers: This role evolves into a "Strategic Controller." Compliance stays stable by shifting focus from manual monitoring to the governance and auditing of the firm’s AI models.
Across all roles, enduring advantage comes from irreplaceable expertise, strong relationships, comfort using AI as a tool, and a shift from execution-focused work toward strategic advisory.

Human Skills That Prevail

While AI capabilities are expanding, human skills are not obsolete.

Judgment and Decision-Making Under Uncertainty

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Where stakes are high and errors can be catastrophic, human judgement — even as a second-line of defense — becomes essential.

Judgment and Decision-Making Under Uncertainty

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Trust-based advisory remains difficult to automate because it is fundamentally relational. Particularly in moments of market volatility, clients often seek more than information — they seek active listening and and empathetic communication. Wealth advisory demonstrates how AI can strengthen personalization, but human advisors retain responsibility for critical decisions and the establishment of trust and credibility.

Ethics, Governance, and Oversight

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As AI becomes embedded across functions, leaders must think systemically about integrating technology into strategy, while managing risk, culture, and governance. AI systems replicate patterns in data, reinforcing the need for human oversight around explainability, bias, and unintended outcomes.

"The 'human in the loop' isn't just a safety net — they are the primary engine for model reliability. In my view, the real value of keeping human experts engaged on complex cases isn't just about risk management today; it’s about generating the high-quality 'edge case' data needed to retrain AI models for tomorrow. The more complex scenarios humans solve, the better the training dataset becomes, which is the only way to optimize AI from 'confident' to truly 'reliable' at scale."
Pradeep Kumar

Former SVP, Axis Bank | Former VP, Citibank

What Will Influence the Timeline for AI Adoption?

AI adoption will not be linear. The pace of change will be shaped by regulatory and governance requirements, data quality and infrastructure readiness, and — most critically — leadership capability.

In Canada, stronger model risk management and accountability expectations may slow deployment but reduce downstream risk. Across institutions, talent availability and leadership comfort with AI-enabled decision-making are emerging as the most binding constraints on adoption.

 

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Announced in Fall 2025, Canada’s Sovereign AI Compute Strategy is a multi-year initiative designed to secure domestic AI infrastructure, intellectual property, and data independence.

SOURCE: Government of Canada, 2025. “Canadian Sovereign AI Compute Strategy.”

Several structural factors will shape the pace and trajectory of AI adoption in Canada:

Regulation & policy
Governance frameworks that enable or constrain deployment
Digital and technology infrastructure
Availability of connectivity, cloud, and processing capacity
Talent & workforce readiness
Depth of AI expertise and reskilling capability
Economic investment climate
Access to capital and incentives for innovation
Public trust & social acceptance
Confidence in ethical and responsible AI use
Innovation ecosystem strength
Collaboration between academia, industry, and government
Global competitive dynamics
Alignment with international standards and market pressures
Sector-specific demand
Industry readiness and use-case maturity
Infrastructure readiness
Data centres, computing capacity, energy, and other resources

Talent and Executive Hiring Implications

As AI reshapes capital markets roles, executive mandates are expanding beyond traditional functional boundaries. Leaders are increasingly accountable not only for performance, but for how AI is deployed, governed, and integrated into decision-making.

Shifting Executive Mandates

Executive roles are broadening to include responsibility for AI strategy, talent transition, and ethical oversight, alongside traditional commercial objectives.

What Will Financial Services Organizations Look for in Capital Markets Leaders?

Future-ready leaders will demonstrate: 

 

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AI fluency and awareness of tools and appropriate use, without needing deep technical expertise

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A track record of transformation and change leadership

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Strong judgment and critical thinking

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The ability to balance innovation with risk and governance

Looking Ahead

Preparing for an AI-Shaped Capital Markets Future

For professionals at all stages — from early career to executive — success will hinge on combining technical fluency with judgment, adaptability, and strategic thinking.

Organizations that recognize executive talent strategy as a core competitive lever — rather than a downstream consideration — will be best positioned to compete and thrive in an AI-shaped capital markets future.

About Massey Henry

Executive Search, Coaching, Assessment, and Advisory Services

Ranked among Canada’s Top Growing Companies by The Globe and Mail, Massey Henry is one of North America’s leading executive search and board advisory firms focused exclusively on the financial services sector. With an experienced team of former industry leaders and talent management specialists, the firm combines innovative technology with in-depth sector expertise to provide clients with full-scope executive search, talent assessment, coaching, and leadership advisory services.
Michael Henry

Michael Henry

Managing Partner, Massey Henry

John Sanders

John Sanders

Senior Partner, Board & CEO Services

Lisa Newey

Lisa Newey

Partner

Carmen Jefferey

Carmen Jefferey

Principal