Will AI replace offshore staff?

No, AI will not replace offshore staff. AI is automating specific tasks, not whole roles, and the offshore professionals who learn to use it become more productive and more valuable, not obsolete. The World Economic Forum projects that technology and AI will create 170 million new jobs globally by 2030 while displacing 92 million, a net gain of 78 million (WEF Future of Jobs Report 2025). Pear Tree places AI-literate Filipino and South African talent with Australian and New Zealand businesses, so the real question is not AI versus people, it is people using AI.

Will AI replace offshore staff?

No. AI will not replace offshore staff, because it automates tasks rather than entire roles, and most jobs are a mix of tasks where only some are automatable. McKinsey estimates that fewer than 5% of occupations can be fully automated, while around 60% have at least a third of their activities that could be automated (McKinsey 2024). That is a description of augmentation, not replacement.

The pattern holds at the macro level too. The World Economic Forum expects 170 million new roles to be created and 92 million displaced by 2030, a net increase, alongside a finding that 39% of workers' core skills will change over the same period (WEF Future of Jobs Report 2025). The work does not disappear; it shifts toward the parts that need human judgment, and the skills required move with it.

For offshore teams specifically, this means the routine, rules-based portion of a role gets faster, while the human sitting on top of the tool becomes more important. An offshore professional who uses AI well simply gets through more work at a higher standard.

What can AI do, and what still needs a person?

AI is strong at high-volume, pattern-based tasks and weak at judgment, context, and accountability. It can draft a first version, extract and sort data, summarise long documents, suggest code, and answer routine questions in seconds. What it cannot do is take responsibility for a decision, read a client's unspoken concern, or catch the exception that does not fit the pattern. The table below sets out the split.

The important word is oversight. AI output is fast but not reliably correct, so it needs a skilled person to check it, correct it, and decide what to do with it. That person is often exactly the kind of capable, cost-effective offshore professional Pear Tree places, now equipped with a tool that multiplies their output.

Which offshore roles are most and least affected by AI?

The roles most affected by AI are the narrowly repetitive ones, and the least affected are those built on judgment and relationships. A role that is purely manual data entry will shrink as extraction tools improve, but very few offshore roles are only that. Most combine routine work with judgment, communication, and problem-solving, and AI reshapes those roles rather than removing them. The table below shows how AI changes common offshore roles.

This is why framing the decision as "AI or offshore staff" misreads the trend. The businesses getting the most from both are pairing capable offshore professionals with AI tools, so the person handles the judgment and the client while the tool handles the volume.

Does AI make offshore hiring less worthwhile, or more?

AI makes offshore hiring more worthwhile, not less, because it compounds the existing cost and productivity advantage. An offshore team already delivers strong output at a lower cost, and adding AI lets that same team produce more without adding headcount. Well-managed offshore teams already reach 90 to 95% of onshore productivity (McKinsey and Deloitte 2024, RET-05), and AI widens that margin further.

The market is moving in one direction on this. 66% of companies globally plan to increase offshore hiring in the next 12 months (Deloitte Global Outsourcing Survey 2024, MKT-03), 58% of ANZ companies plan to increase offshore headcount in 2026 (Employment Hero and Robert Half 2025, MKT-04), and cross-border hiring has risen 145% since 2020 (Deel Global Hiring Report 2025, MKT-07). If AI were replacing offshore staff, these numbers would be falling. They are rising.

The reason is simple. AI lowers the cost of getting work done, and businesses respond by doing more work, not less. Offshore talent that can operate AI tools is one of the most cost-effective ways to capture that, which is why demand for skilled, AI-literate offshore professionals is growing rather than shrinking.

Why can't AI solve the local skills shortage on its own?

AI cannot solve the local skills shortage because it needs skilled people to direct, check, and apply it, and those people are exactly who Australian and New Zealand businesses cannot find locally. 85% of Australian organisations struggle to find the skills they need (Hays 2025, AU-01) and 87% of New Zealand employers cannot find the skills they need (Working In Business Survey 2025, NZ-01). AI does not fill that gap; it raises the value of the humans who can wield it.

A tool without a skilled operator produces little of value, and often produces confident mistakes. The businesses that win with AI are the ones with capable people to prompt it well, validate its output, and integrate it into a real workflow. When those people are scarce and expensive at home, hiring them offshore is how a business gets the human layer that makes AI useful.

So the two trends reinforce each other. The local shortage is structural and persistent, AI increases the leverage of skilled people, and offshore hiring is how Australian and New Zealand businesses access that skill affordably. None of that points to AI replacing offshore staff.

How does offshore talent use AI day to day?

Offshore talent uses AI as an assistant that speeds up the routine parts of the job while the person stays responsible for the outcome. A bookkeeper uses it to categorise transactions and draft reconciliations, then reviews and corrects them. A customer service professional uses it to draft replies and surface answers, then handles the judgment calls and the difficult conversations. A developer uses it to generate and check code, then owns the architecture and the review.

The common thread is human oversight. AI accelerates the first 80% of a task, and the offshore professional applies the experience and context that get the last 20% right. That is why properly managed offshore teams sustain 90 to 95% of onshore productivity (RET-05), and AI pushes that ratio up rather than making the team redundant.

It also raises the bar on hiring. The offshore professional who is comfortable with modern tools, thinks critically about AI output, and communicates clearly is now considerably more valuable than one who is not. Sourcing that person is the challenge, and it is where a rigorous vetting process matters.

How does Pear Tree prepare offshore talent for an AI-enabled workplace?

Pear Tree places offshore professionals who can work alongside AI, and structures the engagement so the tools are used securely. Every role runs through a six-step hiring process that screens 200 to 400 applicants to shortlist three to five exceptional candidates (PT-05), including assessment of how a candidate uses modern tools and handles judgment, not just whether they can complete a task by hand.

Pear Tree sources from the Philippines, ranked second in Asia for English proficiency with a 1.82 million-strong professional services workforce (PH-01, PH-04), and from South Africa (PT-10), two markets with deep pools of tech-comfortable talent. Because Pear Tree uses a direct-hire model, the professional works on your systems and your AI tools, with VPN, two-factor authentication, and compliant cloud workflows built in (PT-08), so you keep control of data and how AI is applied to it, rather than handing it to a shared agency environment.

The result is a team that stays. Pear Tree maintains a 90% retention rate against a roughly 60% industry average (PT-01) across placements with more than 750 Australian and New Zealand companies (PT-02), and it is the only major offshore provider with a genuine New Zealand presence (PT-11). An AI-literate professional who stays and learns your business is an asset that appreciates as the tools improve.

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The bottom line

AI will not replace offshore staff; it changes what they do and makes the skilled ones more valuable. The work shifts toward judgment, oversight, and relationships, the routine tasks get faster, and businesses respond by doing more, which is why offshore demand is rising rather than falling. For Australian and New Zealand businesses, the winning move is not AI instead of people, it is capable, AI-literate offshore professionals, hired directly, using AI to do more.

AUTHOR BIO: Nick is Co-Founder of Pear Tree, a direct offshore talent placement company helping Australian and New Zealand businesses hire world-class Filipino and South African professionals without the agency markup. With offices in Sydney, Auckland, Cebu, Manila, Cape Town and Hawke's Bay, Pear Tree has placed talent with 750+ companies and maintains a 90% retention rate.

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