Why the future belongs to firms that rethink capacity-building
Executive Summary
Across Canada’s accounting profession, a larger conversation is taking shape. Talent remains a strategic concern, technology is changing the economics of routine work, and clients increasingly expect their accountants to contribute insight alongside technical expertise. At the same time, firms are being asked to grow while maintaining the quality, responsiveness and trust on which their reputations depend.
The resulting question is becoming more fundamental than how many people a firm needs to hire: How should a modern accounting firm organize its people, processes and technology so that capacity can grow with demand?
That question is particularly timely as Canadian firms move deeper into artificial intelligence. KPMG Canada’s 2025 Generative AI Business Adoption Survey found that 93% of 753 Canadian business leaders said their organizations were using AI in some form, yet only 31% had fully integrated generative AI across core operations and workflows. Only 2% reported that they were already seeing a return on their generative-AI investments.
The lesson for accounting firms is significant. Technology adoption, workforce strategy and process design are becoming increasingly interconnected. The firms best positioned for the next phase of growth may be those that deliberately redesign how work gets done, allowing professional expertise, technology and broader talent ecosystems to reinforce one another.
A Profession at an Inflection Point
Accounting has always evolved alongside the economy it serves. What feels different today is the number of forces arriving at the profession simultaneously.
Canadian firms are navigating persistent competition for experienced professionals while investing in new technology, expanding advisory capabilities and responding to increasingly sophisticated client expectations. The economics of professional talent are also significant. CPA Canada’s 2025 Compensation Study reported a national median CPA compensation of C$154,000 in 2024, the highest level recorded in the study.
Meanwhile, the nature of work itself is changing. The World Economic Forum’s Future of Jobs Report 2025 estimates that 39% of workers’ existing skill sets will be transformed or become outdated by 2030. In Canada specifically, the report estimates that approximately 38% of existing skills will change over that period. Analytical thinking remains the most sought-after core skill, while AI and big data, technological literacy, and networks and cybersecurity are among the fastest-growing areas of demand.
For accounting leaders, these developments point toward a broader shift. The challenge is increasingly about how to create enough capacity for the firm to grow while ensuring that highly skilled professionals spend more of their time on the work that requires their judgment and expertise.
Capacity Has Become a Strategic Conversation
Capacity is sometimes treated as a straightforward calculation: how many people are available to handle the volume of work?
In practice, it is considerably more nuanced. A firm’s capacity is shaped by how work is structured, how consistently processes are executed, how effectively technology is used, how knowledge moves through the organization, and where different types of work are performed.
That distinction matters because adding people to an inefficient workflow can increase complexity alongside capacity. Managers spend more time coordinating, experienced professionals remain involved in routine activities, and institutional knowledge can become fragmented across increasingly specialized teams.
The alternative is to think about capacity as something that can be deliberately designed.
This is consistent with a broader finding from Deloitte’s 2025 Global Human Capital Trends research. Drawing on responses from nearly 13,000 business and HR leaders across 93 countries, Deloitte identified “reclaiming organizational capacity” and redesigning work as important challenges for organizations navigating an increasingly technology-enabled workplace.
For accounting firms, the implication is straightforward: before determining how many additional people are needed, it is worth understanding where existing capacity is being consumed and whether the work itself has been designed for the firm the organization is becoming.
The 5 Characteristics of Tomorrow’s Canadian Accounting Firm
The firms that adapt well to this environment will each develop their own model, but several characteristics are likely to become increasingly important.
Leading firms are becoming more deliberate about understanding where work accumulates, when demand peaks, and which activities create bottlenecks. Capacity planning becomes an ongoing management discipline rather than a response to the next busy period.
This can change the nature of workforce decisions. Instead of recruiting reactively when pressure becomes visible, firms can anticipate which capabilities will be needed, determine which work requires local professional expertise, and identify where technology, process improvements or additional talent can provide support.
The economics of accounting make this particularly important. When highly experienced professionals spend substantial portions of their time on routine preparation, administrative coordination or standardized processes, the firm is effectively using some of its most valuable capacity on activities that may not require its highest level of expertise.
The opportunity is to examine the workflow more deliberately. Certain activities may remain firmly within the professional team, while others can be standardized, automated, delegated or supported through broader talent models. The objective is greater leverage from professional expertise, with quality and appropriate oversight remaining central.
Canadian finance functions are already moving in this direction. KPMG’s 2025 AI in Finance research found that 82% of Canadian organizations surveyed were using or piloting AI within finance, compared with 71% globally. Within Canada, 77% reported using or piloting AI in accounting, while 63% were doing so in tax operations.
Yet the same research illustrates why adoption alone is insufficient. KPMG’s Canadian respondents identified data security, AI skills and talent, and access to relevant and consistent data among the leading barriers to implementation. Its research also found that Canadian AI leaders were distinguished by stronger governance, greater investment and more active use cases.
The next stage therefore involves asking a more practical question: where can AI remove friction from existing work? Document processing, information retrieval, workflow coordination, data analysis and other repetitive activities may offer useful starting points, particularly when human review remains appropriately embedded in the process.
Growth tends to expose inconsistencies that were manageable when a firm was smaller. Processes that once depended on individual knowledge become harder to replicate, and informal ways of working can create unnecessary friction as teams expand.
Firms that invest in clear workflows, documentation, knowledge sharing and accountability create a more stable foundation for growth. This also makes technology adoption easier because new tools can be integrated into defined processes rather than layered onto a collection of individual practices.
The future workforce will require a combination of technical expertise and distinctly human capabilities. The World Economic Forum’s 2025 research identifies analytical thinking, resilience, flexibility and agility, leadership and social influence among the most important core skills, while AI and big data and technological literacy are among the fastest-growing.
That combination creates an opportunity to think about talent more broadly. A firm’s strongest model may involve Canadian professionals providing technical judgment and client leadership, technology supporting repetitive or data-intensive activities, and additional talent—where appropriate—extending the firm’s capacity across standardized processes and operational work.
The result is a workforce designed around contribution rather than simply headcount.
Perhaps the most interesting Canadian signal comes from the contrast between enthusiasm for AI and the difficulty of realizing its value.
KPMG Canada’s November 2025 survey found that 57% of respondents identified understanding how to capture value from AI as one of their biggest implementation challenges, while fewer than four in ten said their organization had a clear plan for extracting value from generative AI. Only 34% strongly agreed that their organization was already redesigning or restructuring jobs, roles and activities to realize AI’s value.
This is an important distinction for accounting firms. AI can make individual tasks faster, but meaningful productivity gains depend on what happens around those tasks. If the surrounding workflow remains unchanged, some of the potential benefit can be absorbed by the process itself.
Deloitte’s subsequent 2025 Humans × Machines research makes a similar point from a broader organizational perspective: only 16% of surveyed organizations reported that they had fully designed roles, processes and operating models to integrate AI into work.
The implication is worth considering carefully. For firms exploring AI, the most valuable question may be less about which tool to purchase and more about which work should be redesigned around the technology.
Taken together, these developments suggest that the accounting firm’s traditional relationship between growth and headcount is becoming more flexible.
A firm can expand its capacity through recruitment, but it can also create capacity through better processes, targeted automation, stronger knowledge systems, professional development, and carefully structured access to talent beyond its immediate geography.
These approaches can reinforce one another.
Technology can reduce repetitive work. Standardized processes can make that technology more effective. Broader talent models can extend the capacity of the core professional team. Learning and development can help people adapt as the nature of their work changes.
The result is an operating model that gives the firm more ways to respond when demand changes.
For managing partners considering their firm’s next phase of growth, four questions may be particularly useful:
The answers will vary considerably from firm to firm. What matters is the discipline of asking the questions before growth makes the answers urgent.
The Canadian accounting profession is entering a period in which technology, talent and operating models will increasingly influence one another. AI will continue to evolve, the skills required of professionals will change, and competition for experienced talent will remain an important consideration.
The firms that respond well may be those willing to examine the architecture of their work as carefully as they examine their balance sheets. That means understanding where professional judgment creates the greatest value, where technology can create leverage, where processes can be strengthened, and where additional capacity can be introduced thoughtfully.
The next Canadian accounting firm may still look recognizably like the profession we know today. Its difference may lie in something less visible: a more deliberate design for how people, technology and work come together.
At Global Staff Connections, we have seen through our work with accounting firms across North America and Australia how these questions increasingly intersect. Our perspective is that workforce strategy, process improvement and technology can be considered together, giving firms more options for building sustainable capacity as their needs evolve. Through our collaboration with Gaitcon, GSC also supports firms exploring practical AI applications that can complement people and workflows while keeping professional oversight at the center.
Further Reading
The ideas explored in this paper are informed by recent research and publications from Canadian professional organizations, government agencies and global research institutions. Readers interested in exploring these themes further may find the following resources useful.
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