Building for Aotearoa

In 2016, NZ's tech sector was $16.2 billion in revenue and growing fast. Government was investing in digital. The talent pool was deepening. But enterprise tech was still immature, dominated by offshore vendors and one-size-fits-all platforms. We saw an opportunity to build differently.

Three years later, the market had matured. Enterprise development in NZ required a different skill set: boundary-spanning, domain knowledge, stakeholder communication across small, interconnected industries. The Silicon Valley playbook didn't apply. Relationships mattered more than marketing. Reputation was everything.

Every small market has constraints. New Zealand's are specific: a talent shortage that became acute post-COVID, a growth model that penalises the Silicon Valley approach, and a cultural expectation of delivery over hype. These posts map the constraints and our response to them.

When AI became an enterprise conversation in 2023, New Zealand's response was distinctive. High interest, cautious investment, and an immediate recognition that global AI frameworks don't account for Te Tiriti obligations, Māori data sovereignty, or the responsibilities that come with building technology in a bicultural nation.

The principles that apply in Aotearoa extend across the Pacific. AI in developing economies has real potential in climate, health, education, and language preservation. But only if it's community-led, locally governed, and designed to avoid the extractive patterns of previous technology waves.

By 2025, NZ enterprise AI adoption had doubled. A top tier of organisations had pulled ahead with multiple production AI capabilities. The bottleneck shifted from technology to leadership: AI-literate business leaders, not AI specialists, became the scarcest resource.

The final post brings it together. New Zealand's constraints - small market, short decision chains, pragmatic culture, proximity to decision-makers - are advantages in the AI era. But building AI in Aotearoa carries specific responsibilities. Te Tiriti, data sovereignty, community accountability. These aren't constraints on innovation. They're the foundation for innovation that lasts.

We wrote these posts because nobody else was writing them. The global AI conversation assumes Silicon Valley defaults: scale first, move fast, figure out governance later. That doesn't work here. Aotearoa's tech ecosystem has always been built on relationships, trust, and a pragmatic refusal to adopt something just because it's new.

This series documents that perspective. If you're building technology in New Zealand, or thinking about what responsible AI looks like in a bicultural context, these are the conversations that shaped our approach.