Content supplied by: Sherry Lay, Marketing Manager, Robert Half Canada, a global leader in talent solutions for various industries including finance, accounting, and business transformation.
Artificial intelligence is changing how organizations recruit, but not always in ways that improve speed or certainty. New Canadian survey data from Robert Half shows that 61 per cent of HR leaders say AI‑generated applications are now slowing the hiring process, rather than streamlining it. For finance and accounting leaders, this trend carries important implications for workforce planning, risk management, and business execution.
The challenge is volume and verification. Sixty‑four per cent of hiring managers report that AI‑enhanced resumes make skills harder to verify, as generative tools increasingly embellish or fabricate experience. While many candidates use AI responsibly to improve clarity or formatting, the rise of automated applications has made it more difficult for organizations to identify genuinely qualified talent.
The impact is being felt most acutely by HR teams. Nearly nine in ten report heavier workloads, driven by additional steps added to validate candidates. These include spending more time reviewing applications, increasing the number of interviews, and rewriting job descriptions to discourage generic responses. Each added step extends hiring timelines and can delay critical business initiatives.
For Alberta CPAs, this matters because finance and accounting roles often require specialized expertise, professional judgment, and trust. Delayed or misaligned hiring can increase workload pressure and operational risk. It also raises questions about governance: how organizations ensure hiring decisions remain accurate, fair, and defensible in an AI‑driven environment.
One way to cut through the noise: companies are turning to external partners. Sixty‑three per cent of hiring managers report using staffing firms to help manage AI‑related hiring challenges, and the majority say these partnerships have been effective. Human judgment—paired with targeted assessments and validated experience—remains essential.
If AI becomes more embedded in the hiring process and job market, finance leaders have an opportunity to shape more disciplined, human‑centred approaches that protect decision quality while keeping talent strategies on track.
