As AI reshapes industries at an accelerating pace, we’re seeing not just automation of tasks but entire roles evolve or disappear. From admin and data entry to customer service, finance, and even junior legal and programming positions, the nature of work is undergoing a seismic shift. This article explores which jobs are most vulnerable by 2035.

As artificial intelligence continues to demonstrate tangible benefits for organisations worldwide, New Zealand businesses are experiencing mixed reactions to its implementation. Recent insights from PwC New Zealand reveal that AI is beginning to deliver concrete advantages to companies willing to embrace this evolving technology. However, significant trust barriers remain a primary obstacle to wider adoption across the country.

In a recent development that merits attention from technology leaders across New Zealand, the Reserve Bank of New Zealand (RBNZ) has expressed concerns about artificial intelligence's expansion and its potential impact on financial stability. This highlights a critical juncture for technology executives navigating the AI revolution within regulated industries.

What makes a great AI tech leader? We break down the five traits that separate real AI leadership from the hype. From curiosity with commercial focus to building ethical, cross-functional teams that deliver. A must-read for anyone shaping the future with AI.

For the past two decades, SaaS (Software as a Service) has been the king of business solutions. Offering plug-and-play tools to manage everything from customer relationships to accounting. But 2025 is throwing a curveball: AI is moving beyond being a SaaS feature and becoming a standalone force. We’re now watching a fascinating dynamic unfold where AI and SaaS are starting to compete for mindshare, budget, and operational influence.

In today's technology landscape, merely using AI is no longer enough. Recent research from Atlassian's Teamwork Lab reveals a critical insight: when it comes to maximising the value of AI in the workplace, mindset trumps adoption rates. The difference between organisations seeing moderate benefits and those experiencing transformative results isn't how frequently they use AI—it's how they approach collaboration with it.