The AI productivity trap: why busy doesn’t mean better
A new PwC study of 1,200+ senior executives confirms what we keep seeing with clients across Auckland and London: the vast majority of organisations are failing to capture meaningful value from AI — not because the technology isn’t capable, but because they’re asking the wrong question.
The PwC 2026 AI Performance Study surveyed 1,217 executives across 25 sectors. Its headline finding is striking: three-quarters of AI’s economic gains are being captured by just 20% of companies. The remaining 80% are getting efficiency improvements at best — cost savings, faster processes, marginal productivity gains. Useful, but not transformative.
The question that changes everything
What separates the leaders from the laggards isn’t access to better models, bigger budgets, or more sophisticated tools. It’s the question they started with.
The companies winning with AI asked: how do we reinvent what we do? The companies losing asked: how do we do what we already do, faster? That sounds like a subtle distinction. It isn’t. It’s the difference between transformation and decoration.
“The single strongest predictor of AI-driven financial performance isn’t efficiency — it’s using AI to identify growth opportunities from industry convergence.”
The leading companies in PwC’s study are using AI to spot where industry boundaries are blurring — where a financial services company can behave like a technology company, or where a retailer can enter healthcare. That’s not a productivity play. That’s a growth strategy enabled by AI.
What we see on the ground
We’ve worked with enterprises and scale-ups across both hemispheres, and the pattern holds. The organisations moving fastest are not the ones who launched the most pilots. They’re the ones who started by redesigning their operating model — asking where the genuine leverage points are — and then chose the technology to serve that ambition.
AI bolted onto a broken workflow is just a faster way to produce the wrong output. The technology amplifies whatever is underneath it. If what’s underneath is unclear strategy, poor data infrastructure, or misaligned incentives, AI will make all of those things more visible, faster.
The organisations that treat AI as a reinvention engine — rather than a productivity hack — are the ones building durable competitive advantage. Not just for this year, but for the next decade.
Speed and accountability are not opposites
One of the more counterintuitive findings in the PwC data: leading companies are nearly three times more likely to have increased the number of decisions made without human intervention — while simultaneously going further on governance and accountability frameworks.
This matters because many organisations treat AI governance as a brake on progress. The evidence says the opposite. The companies moving fastest are also the ones that have thought hardest about where AI should and shouldn’t operate autonomously. That clarity — about boundaries, accountability, and escalation — is what allows them to move with confidence.
You can’t have both speed and accountability without a strategy that treats AI as a reinvention engine. One without the other produces either recklessness or stagnation.
The practical question
If you’re reading this and the PwC data feels close to home, the most useful starting point isn’t a technology audit. It’s a strategy conversation: where in your business would genuine reinvention — not just optimisation — change the competitive picture? What would it mean to operate differently, not just more efficiently?
That’s the question the 20% started with. It’s available to everyone.
Dane Tatana
Chief Executive Officer (Ngāti Raukawa, Ngāti Toa Rangatira)
Elevating the customer experience is Journey’s purpose. And nobody embodies that more than our managing director, Dane. A designer and CX strategist, Dane has worked with some of the most customer-obsessed brands in the world, throughout Europe, Middle East, North America and Australasia.
