New Zealand's Export Industries Are Already Built for AI

New Zealand’s AI conversation tends to start in the same place: a list of jobs that might disappear. That’s a fair worry, but it skips over something. AI doesn’t touch every sector the same way, and the industries that earn New Zealand the most money aren’t obviously the ones under threat.

That’s the argument JD Trask made in his keynote at the Aotearoa AI Summit, published on the Autohive blog. His line: “our biggest industries are not the ones at risk.” It’s his read of the situation, not a settled finding about the labour market.

Food and primary industries

New Zealand’s food and fibre exports are forecast to reach NZ$64.3 billion in the year ending 30 June 2026, according to MFAT. What AI changes is how some work gets monitored and managed.

Halter, the New Zealand virtual fencing company, raised US$220 million in a March 2026 Series E round to fund global expansion. The company says it serves more than 2,000 farmers and ranchers across New Zealand, Australia, and the US, running more than a million solar-powered collars on livestock.

Fonterra has built AI-enabled image recognition into its milk powder bag inspection process and uses AI to help schedule production. These are specific tools solving fencing, inspection, and scheduling problems inside an industry that still depends on physical work.

Tourism and experiences

Tourism is New Zealand’s second-largest export earner, worth NZ$46.6 billion in total expenditure for the year ended March 2025, according to Stats NZ. Trask’s view is that AI could free up time spent on logistics, leaving more of the trip for the experience itself. That is an opinion, not a measured result.

Tourism New Zealand has embedded GuideGeek, an AI trip-planning tool, inside a fully playable Minecraft destination to help travellers discover and plan visits before they arrive. AI can assist discovery, planning, and operations. The trip itself still happens in person.

Software, services, and IP

“Software overcomes the tyranny of distance,” Trask said, going further to argue that “AI is going to be bigger than electricity.” Both are his predictions. TIN200 reported NZ$15.31 billion in combined overseas sales for FY2025. That covers its top 200 companies, not the whole sector.

TechNZ cites Stats NZ figures showing 24,012 tech firms employing 119,520 people in New Zealand in 2024. A small team can build, support, and sell software internationally with AI involved. That does not guarantee scale, but it lowers the cost of trying.

Cross-industry opportunity

The AI Forum NZ’s third AI productivity report surveyed organisations already using AI. Ninety-one percent reported efficiency improvements, and 77 percent reported lower operational costs. It is self-reported data from adopters, not a result for the economy as a whole.

Mandala’s Microsoft-backed modelling projects AI could add NZ$3.4 billion to New Zealand’s economy by 2035. It is a projection. Agriculture, tourism, logistics, professional services, education, health, and SaaS all contain local knowledge that could become exportable products or services.

What needs to happen next

Start with one repetitive task: drafting replies to routine enquiries, running a quality check, building a staff schedule, handling booking enquiries, or preparing a standard report. Put a person in charge of review. Set one measure, such as time saved, error rate, or response speed. Give it 30 days, then decide whether to expand it or stop.

Where Autohive fits

Autohive is a no-code platform for operational teams that want to run AI agents and automated jobs. Teams can build custom agents, ground them in private workspace knowledge, schedule jobs, and connect existing software through integrations. Visual workflows, execution logs, role-based permissions, and human review controls are available.

Build from what you already know

New Zealand’s advantage in AI probably isn’t a new industry built from scratch. It’s the specific knowledge already sitting inside the export sectors that exist today: food production, tourism operations, and software teams that already know how to sell past their own borders.

Ask where AI can remove friction from the industry you already know well, then look for a version of that solution the world could buy.