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AI's Hiring Impact: Slower Hiring, Not Layoffs

AI's Hiring Impact: Slower Hiring, Not Layoffs

A report by Panorama, 360 ONE Asset, reveals that AI adoption is accelerating but remains concentrated in larger firms across information, finance, and professional services. The labour market impact is manifesting as slower hiring rather than widespread layoffs, with job openings in AI-exposed sectors declining more sharply than the broader market. Companies are increasingly citing AI-driven productivity gains on earnings calls, signalling intent to automate. However, layoffs in these sectors show no divergence from the broader market, indicating AI has yet to trigger large-scale job losses. The report also highlights risks from debt-funded AI capex and the rapid cost decline of AI usage. Key signal: Job openings in AI-exposed sectors have declined more sharply than the broader market, with AI's impact seen primarily through slower hiring rather than layoffs. For hiring leaders, this matters because for CHROs and TA leaders, this signals a strategic shift: AI is not yet replacing jobs at scale but is dampening hiring demand in exposed sectors. This means talent strategies must focus on upskilling existing workforce to leverage AI, rather than expecting mass redundancies. The slower hiring trend suggests a need to recalibrate workforce planning, potentially reducing intake in AI-exposed roles while investing in AI literacy across the organisation. The report's data on declining job openings offers a data-driven basis for adjusting hiring forecasts and budget allocations. Teksands view: The 'AI kills jobs' narrative is overhyped. The real story is a hiring chill in AI-exposed sectors. For recruiters, this means fewer openings but higher stakes on quality. Don't pause AI hiring entirely—instead, double down on roles that augment AI, like AI engineers and data scientists, while reskilling existing talent. The report's insight on slower hiring is a wake-up call to align workforce planning with AI adoption curves, not panic-driven layoffs.

Key fact

Job openings in AI-exposed sectors have declined more sharply than the broader market, with AI's impact seen primarily through slower hiring rather than layoffs.

Why it matters

For CHROs and TA leaders, this signals a strategic shift: AI is not yet replacing jobs at scale but is dampening hiring demand in exposed sectors. This means talent strategies must focus on upskilling existing workforce to leverage AI, rather than expecting mass redundancies. The slower hiring trend suggests a need to recalibrate workforce planning, potentially reducing intake in AI-exposed roles while investing in AI literacy across the organisation. The report's data on declining job openings offers a data-driven basis for adjusting hiring forecasts and budget allocations.

The Teksands point of view

The 'AI kills jobs' narrative is overhyped. The real story is a hiring chill in AI-exposed sectors. For recruiters, this means fewer openings but higher stakes on quality. Don't pause AI hiring entirely—instead, double down on roles that augment AI, like AI engineers and data scientists, while reskilling existing talent. The report's insight on slower hiring is a wake-up call to align workforce planning with AI adoption curves, not panic-driven layoffs.

Read the original source at Fortune India →

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