A new BDO Canada report finds AI adoption is widespread but operational transformation at Canadian firms remains elusive
Canadian firms are spending heavily on artificial intelligence, automation, and digital transformation, but that spending is not translating into the productivity gains the country urgently needs, according to new research from BDO Canada.
The <a href="https://www.bdo.ca/insights/productivity-paradox-how-leadership-determines-productivity-gains” rel=”nofollow noopener” target=”_blank”>Productivity Paradox 2026 report, based on a survey of 520 Canadian business leaders conducted by the Angus Reid Forum, finds that 45 per cent of organizations are experimenting with AI without achieving meaningful return on investment, while only 18 per cent have actively embedded AI into their day-to-day workflows and operations.
The findings arrive at a moment when AI adoption across the advice sector is accelerating rapidly. The gap between AI curiosity and genuine productivity improvement is a pattern that has already been documented in the wealth management industry specifically, where just 2.7 per cent of workers meet the threshold of having meaningfully integrated AI into their work.
BDO Canada’s report argues that Canada’s productivity challenge is not a technology problem. It is a leadership problem.
“Canadian businesses recognize the need to improve productivity and are investing in the technologies that can help them do it. Investing in technology alone, however, will not deliver the gains Canada needs,” said Jeff Chapman, Managing Partner, Advisory, Markets and Industry at BDO Canada in Toronto. “The bigger challenge is turning that investment into meaningful change. In an increasingly competitive and uncertain environment, leaders need to make deliberate choices about how their businesses operate, invest, and adapt.”
Operating models are holding firms back
The report identifies organizational inertia as the primary barrier to productivity, not a shortage of technology tools or budget.
Many organizations are layering AI onto operating models that were designed decades before the current pace of technological change. Layered approvals, fragmented ownership structures, siloed functions, duplicated governance processes, and slow decision cycles continue to create operational friction that limits productivity gains.
That friction shows up in a specific way: leaders track technology activity rather than business outcomes. The report draws a sharp distinction between what many organizations measure (pilots launched, AI licences deployed, technology adoption metrics) and what leading organizations actually track, including decision speed, workflow capacity, margin improvement, and operational throughput.
Deploying more tools does not automatically create value. Faster decisions, fewer handoffs, reduced friction, and greater organizational capacity do.
For wealth management practices, the implication is direct. Advances in workflow automation and AI are driving meaningful gains in advisor productivity and raising the ceiling on how many clients each advisor can serve without sacrificing quality, but only when those tools are embedded into redesigned workflows, not bolted onto existing processes.
Sonia Edmonds, a Key Account Partner at BDO Canada, said organizations need to confront the gap between stated urgency and actual change. “Organizations can’t expect people to change how they work if they’re still rewarding them for working the old way.”
The financial services challenge
For financial institutions, the report finds that productivity challenges are often shaped by regulatory requirements, legacy systems, and increasingly complex data environments.
Many organizations continue to operate across fragmented technology platforms that create duplicate controls, disconnected data, and operational inefficiencies, meaning AI initiatives often remain isolated within individual functions rather than creating enterprise-wide value.
The report notes that governance is increasingly functioning as an enabler of AI adoption rather than a constraint.
“Strong governance frameworks help clarify accountability, build trust, and create the confidence organizations need to scale AI responsibly,” said Ziad Akkaoui, Financial Services Industry Leader at BDO Canada.
Canadian privacy regulators found in May 2026 that OpenAI’s initial training of ChatGPT did not comply with Canadian privacy law, citing consent and overcollection, a development that has made governance readiness a practical priority, not just a compliance checkbox, for any firm deploying AI tools in client-facing roles.
While AI has the potential to enhance client service by improving speed, convenience, and personalization, it is still human connection that builds trust and provides the understanding, reassurance, and advice clients need during important financial moments, according to a 2026 TD AI Insights Report conducted by Ipsos.
What leaders should do now
BDO Canada’s report offers a framework for leaders seeking to move from awareness to action. Rather than deploying more technology, the report recommends identifying high-friction workflows where decision-making stalls, redesigning those processes from first principles, and reallocating resources away from activities that add complexity without adding value.
The report also calls on leadership teams to build sufficient AI literacy to make informed decisions about transformation priorities — not to become technology specialists, but to understand AI’s capabilities, limitations, governance requirements, and operating model implications well enough to lead change effectively.
Nearly one-third of Canadian organizations surveyed, approximately 29 per cent, reported delaying major investments due to economic uncertainty – a figure BDO says reflects caution more than strategy. The organizations making the most progress, according to the report, are those treating disruption as an opportunity to simplify and modernize rather than a reason to wait.
“Canada’s productivity challenge is ultimately a leadership challenge. There is no single technology investment that will solve it. The organizations that move ahead will be those whose leaders are prepared to rethink how work gets done, build greater adaptability into their businesses and make difficult decisions in the face of uncertainty,” said Chapman.
