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New Zealand's Government Plans to Cut 14% of Public Sector Jobs to Slash Spending
The cuts would trim core public service staffing to 55,000 by July 2029 and redirect NZ$2.4 billion to health, education and infrastructure.
- On Tuesday, New Zealand Finance Minister Nicola Willis announced plans to slash 8,700 public service jobs—14% of the workforce—by mid-2029, targeting $2.4 billion in savings through department restructuring and accelerated AI adoption.
- The National Party government blames fiscal recklessness under the previous Labour administration for public servant numbers rising from 48,000 to 63,000. Willis plans to implement a "sinking lid on agencies' operating budgets" over four years.
- Public Service Minister Paul Goldsmith said most government agencies will face 2% funding cuts, while the target is no more than 55,000 full-time equivalent employees by July 2029. Teachers, doctors, nurses, and police remain exempt from job losses.
- "Not good news for New Zealanders," Labour leader Chris Hipkins said, noting that more than half the affected jobs are outside Wellington. Hipkins warned the cuts threaten frontline services for vulnerable families and communities.
- Prime Minister Christopher Luxon defended the reforms, describing a "real opportunity to leverage technology" to improve efficiency. The government will monitor progress regularly, expecting agencies to demonstrate improvements in productivity and value for money.
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AI sackings reach New Zealand, which will use it to eject 14 percent of government staff
The wave of layoffs attributable to the adoption of AI has washed up on the shores of New Zealand, which has announced an overhaul of its public service that will see the technology become a “basic expectation” for government agencies and help to make it possible to sack 9,000 staff - about 14 percent of current headcount. Finance Minister Nicola Willis announced the job cuts yesterday, in a speech that saw her bemoan the fact that New Zealand’s…
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Total News Sources31
Leaning Left12Leaning Right3Center9Last UpdatedBias Distribution50% Left
Bias Distribution
- 50% of the sources lean Left
50% Left
L 50%
C 38%
12%
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