AI Is Killing Entry-Level Jobs: How HR Must Reinvent Career Pathways to Survive

As artificial intelligence automates junior roles, New Zealand faces a leadership pipeline crisis that demands urgent workforce strategy.

Artificial intelligence has moved from boardroom discussion to workplace reality with startling speed. In New Zealand, 87% of organisations report that roles have already changed or disappeared due to AI adoption in the past year alone, according to new research from IDC commissioned by Deel.

The most pronounced impact is appearing at the bottom of the career ladder. One-third of New Zealand organisations have already slowed hiring for entry-level positions, and 88% expect to reduce such recruitment within three years. The traditional pathway into professional work is narrowing just as a new generation prepares to enter the workforce.

The vanishing apprenticeship

Nick Catino, Global Head of Policy at Deel, frames the shift as a sea-change.

"AI is no longer emerging, it is fully here. Entry-level jobs are changing, and the skills companies look for are changing with them. Both workers and businesses need to adapt quickly. This is not about staying competitive, it is about staying viable," he said.

The contraction in junior roles reflects AI's capacity to handle tasks that once defined early-career work: data entry, basic analysis, routine customer enquiries, and other predictable, knowledge-based activities. As these tasks migrate to automated systems, the roles built around them are being hollowed out or eliminated entirely.

Yet this creates a paradox for employers. Seventy-six percent of New Zealand organisations say fewer on-the-job development opportunities now exist for junior employees—the highest figure across all markets surveyed. Three-quarters say recruiting and training future leaders has become harder as established learning pathways disintegrate.

The risk is that organisations may gain short-term efficiency whilst eroding the very pipeline that produces tomorrow's managers, specialists and executives.

Skills trump credentials

As entry-level opportunities shrink, expectations for those who do get hired are rising sharply. New Zealand employers are prioritizing demonstrable capabilities over academic qualifications. Technical certifications in AI tools or coding bootcamps top the list of requirements for entry-level roles, followed by problem-solving ability, critical thinking assessments, and portfolios of completed work.

Only 5% of New Zealand organisations now consider a college degree a top requirement for entry-level hires—a striking departure from hiring norms just a few years ago. The shift suggests that practical competence and adaptability matter more than formal credentials in an environment where tools and processes change rapidly.

This skills-based approach may broaden access for some candidates whilst creating new barriers for others. Those without access to training programmes, bootcamps or opportunities to build portfolios may find themselves locked out of roles that once served as starting points.

The upskilling imperative

Recognising the scale of disruption, 67% of New Zealand organisations are investing in AI-focused training programmes. However, implementation remains inconsistent. Limited employee engagement, budget constraints and a shortage of expert trainers continue to hamper progress.

Accountability for workforce development is also unclear. In many organisations, IT or data teams lead AI training by default, whilst HR plays a supporting role. A significant proportion of organisations admit uncertainty about who owns reskilling efforts at all.

Dr Chris Marshall, Vice President for AI in Asia Pacific at IDC, argues that successful adaptation requires structural change. "Organisations that will thrive are those that unite automation with a human-centred vision, investing in upskilling, redefining entry-level opportunities, and ensuring governance and ethics keep pace with innovation."

Leading employers are moving beyond one-off training initiatives towards cultures of continuous learning, where development is embedded in daily work rather than treated as a separate activity.

Governance lags behind adoption

Whilst AI tools proliferate across New Zealand workplaces, governance frameworks remain underdeveloped. Only a small proportion of organisations report being very familiar with AI-related regulations, and just one in five have formal internal policies governing employee use of AI tools.

The gap between adoption and oversight creates exposure on multiple fronts: data privacy, content accuracy, copyright issues, and the ethical implications of automated decision-making. As AI becomes more embedded in hiring, performance evaluation and other sensitive processes, the absence of clear guidelines poses growing risk.

The research suggests that organisations are moving faster on implementation than on the institutional structures needed to use AI responsibly and sustainably.

Rewriting the career script

The challenge for HR leaders extends beyond managing today's workforce. It requires reimagining how careers begin in an era where junior roles no longer provide the same learning opportunities or volume of positions they once did.

Some organisations are experimenting with rotation programmes that expose early-career employees to diverse functions, apprenticeship models that pair junior staff with experienced professionals, and project-based work that builds skills through application rather than observation. Others are redesigning roles to focus on higher-value work that complements rather than competes with AI capabilities.

What remains uncertain is whether these approaches can scale quickly enough to prevent a hollowing out of the talent pipeline. The organisations that solve this problem will likely gain an advantage as the competition for capable, adaptable workers intensifies.