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86% of frontline managers plan to quit: burnout crisis

86% of frontline managers plan to quit: burnout crisis

A new Great Place To Work India report reveals that frontline managers and supervisors are the most vulnerable talent segment in India's professional services sector, with 86% actively seeking new roles compared to 53% of individual contributors. The study, based on responses from over 1.1 lakh employees across 130+ organisations, highlights that these managers are acting as 'shock absorbers,' balancing business demands, client expectations, and team management, leading to elevated stress and job-search activity. The report also notes that Gen Z now makes up 34% of the workforce (up from 17% in 2023), and while nearly 60% of organisations use AI meaningfully, only 20% of employees feel adequately briefed on AI risks and benefits. This signals a deepening retention crisis beyond entry-level talent, with broader implications for workforce stability and operational continuity. Key signal: 86% of frontline managers and supervisors are actively looking for a new job, versus 53% of individual contributors, per a Great Place To Work India study of 1.1 lakh employees across 130+ organisations. For hiring leaders, this matters because for CHROs and TA leaders, this is a wake-up call: the retention battle has moved up the hierarchy. Frontline managers are the linchpins of delivery and client satisfaction, and losing them en masse could disrupt operations and increase hiring costs. The data also underscores a generational shift—Gen Z's doubling in workforce share means traditional retention levers are losing effectiveness. Moreover, the AI preparedness gap (only 20% feel briefed) suggests that as companies push AI adoption, they risk alienating the very managers who must implement it. Organisations need to rethink manager support, transparency, and career progression to prevent a talent exodus that could undermine both stability and AI transformation efforts. Teksands view: This is a retention crisis hiding in plain sight. Frontline managers are the ones absorbing AI-driven change, hybrid mandates, and margin pressure—while getting little of the upside. For hiring leaders, it's both a risk and an opportunity: poach from competitors, but also fix your own manager experience. The Gen Z stat is the real kicker—if 34% of your workforce is Gen Z and they're twice as likely to leave, your EVP needs a serious refresh. And the AI preparedness gap? That's a training and communication failure, not a technology problem. Fix that before your AI initiatives stall for lack of human buy-in.

Key fact

86% of frontline managers and supervisors are actively looking for a new job, versus 53% of individual contributors, per a Great Place To Work India study of 1.1 lakh employees across 130+ organisations.

Why it matters

For CHROs and TA leaders, this is a wake-up call: the retention battle has moved up the hierarchy. Frontline managers are the linchpins of delivery and client satisfaction, and losing them en masse could disrupt operations and increase hiring costs. The data also underscores a generational shift—Gen Z's doubling in workforce share means traditional retention levers are losing effectiveness. Moreover, the AI preparedness gap (only 20% feel briefed) suggests that as companies push AI adoption, they risk alienating the very managers who must implement it. Organisations need to rethink manager support, transparency, and career progression to prevent a talent exodus that could undermine both stability and AI transformation efforts.

The Teksands point of view

This is a retention crisis hiding in plain sight. Frontline managers are the ones absorbing AI-driven change, hybrid mandates, and margin pressure—while getting little of the upside. For hiring leaders, it's both a risk and an opportunity: poach from competitors, but also fix your own manager experience. The Gen Z stat is the real kicker—if 34% of your workforce is Gen Z and they're twice as likely to leave, your EVP needs a serious refresh. And the AI preparedness gap? That's a training and communication failure, not a technology problem. Fix that before your AI initiatives stall for lack of human buy-in.

Read the original source at People Matters →

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