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Young accountants are arriving in the sector confident in their AI skills, but a lack of soft skills is emerging as a new workplace divide.
According to new findings from financial tech platform Intuit QuickBooks, based on responses from more than 1000 early-career accountants and finance professionals, almost all (90 per cent) said they will be better equipped to use AI than those above them, including future managers or senior colleagues.
Additionally, over half (53 per cent) of respondents believe they will depend on AI for future career success, and only 12 per cent believe they should wait for senior managers to lead the way in AI use.
This comes as the professional services industry, including the accountancy sector, faces its most pivotal period in the past 20 years, as AI adoption accelerates across the sector and pressures firms to adapt or risk being left behind.
Gen Z soft skills deficit
The findings also showed that although the next generation is well-versed in using AI, this generation lacks soft skills.
Cecilia van Eeden, head of talent development at accountancy firm Moore Kingston Smith, said: “Younger talent arrive expecting to use AI, and that confidence is a real asset. But the skill that matters most isn’t operating the tools. It is knowing when to rely on them and having the judgement to challenge what they produce.”
Many businesses in the professional services industry are prioritising soft-skills learning for junior team members, including training in critical thinking, communication and emotional intelligence.
Van Eeden added: “Technology can now do much of the repeatable work, but the professional remains accountable for every conclusion.
“That makes reviewing AI output a core skill, and it is one built through experience. Firms that pair new talent’s fluency with technology alongside experienced colleagues’ judgement will develop people who use AI well, not just often.”
Glenn Collins, head of technical and strategic engagement, ACCA UK, said: “Ensuring the right skills are developed is critical…. Critical thinking, sceptical validation and contextual storytelling are essential to reduce automation bias, anchoring bias and deskilling risks.”
“Ultimately, organisations need to ensure growing confidence with AI is matched by responsible use, so that new technology translates into meaningful value for businesses,” he added.
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