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AI, SaaS, and the Future of New Zealand SMEs

Many years ago, I had already come across reports about the AI industry. At that time, the development of AI was relatively slow due to several reasons: limited computing power, lack of sufficient and accessible data, algorithm bottlenecks, and the difficulty of commercialization. Early AI remained mostly in academic or research settings, lacking mature applications that could integrate with industries. Investors could see its “future,” but short-term monetization was weak and uncertain.&nbs...

What I Learned after chasing growth the hard way

A few years ago, when I was running another business, I pushed through all kinds of pressure — constantly expanding the client base, constantly growing the internal team, and using numbers to motivate myself and my team. But with expansion came a series of challenges: the capacity and resilience of my partners and team were tested, and I personally fell ill on the day before Christmas holidays for two consecutive years due to irregular eating habits and stress. After accumulating more cli...