Blog & Articles

What Meta and McKinsey’s AI Reset Means for NZ Tech Hiring

Global headlines about Meta and McKinsey can look like more bad news for tech jobs. But beneath the layoffs is a more important signal: organisations are redesigning work around AI, not abandoning hiring altogether. This piece explores what that shift means for NZ tech leaders, why selective hiring is replacing blanket freezes, and how focusing on future-fit capability now can create a real advantage when the market rebounds.
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The Strategic Power of a Sabbatical (If You Can Financially Swing It)

If you can afford it, a sabbatical is a strategic reset, not a luxury. It gives you real distance to restore perspective and decision quality, and it forces healthy resilience in your org by proving the team can run without a single-point dependency. With fractional or interim CxOs able to step in, you can step out without losing momentum, as long as you plan it early.
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AI Governance Crisis: NZ Leaders Must Act

The post argues that Anthropic’s NZ$2.6b settlement over training AI on pirated books is a loud governance warning for New Zealand leaders, not just a tech-industry legal story.
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Tech Leaders Redefine Executive Success

Technology leadership is evolving beyond the C-suite. The next generation of tech leaders are purpose-driven innovators who balance technical expertise with human impact, ethics, and storytelling. From ethical AI to cross-industry collaboration, they’re redefining what influence means in the digital era—shaping technology that serves both business and society.
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Tech Recruitment in 2026: A Crystal Ball for Clients & Candidates

A forward-looking analysis of New Zealand’s tech recruitment landscape for 2026. Discover what’s driving demand, how the upcoming NZ election could impact hiring, and what both employers and candidates can do to prepare for a year of cautious optimism and strategic opportunity.
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Tech Leaders on the Bench: What to Learn Now to Stay Relevant in 2026

As AI reshapes the tech landscape, today’s leaders can’t afford to stand still. This article outlines the key skills, mindsets, and learning paths that will define successful technology leadership in 2026, from AI strategy and data fluency to human-centered change and thought leadership.
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