Your Company Is Offshoring, Not Just Automating — And That's Different

There's a sleight of hand happening in corporate restructuring right now, and i think it's worth naming.

Companies are telling you they're automating. What many of them are actually doing is offshoring. These are fundamentally different things, they have different implications for you, and the difference matters more than most people realise.

I've seen it happen three times in the last eighteen months with organisations i've consulted for. The announcement goes something like: "We're leveraging AI to transform our operations and drive efficiency." The reality, when you look at the actual org chart changes, is that forty jobs in London or Manchester are being replaced by forty jobs in Manila or Hyderabad. Sometimes cheaper. Sometimes with an AI tool bolted on top. But the work is still being done by humans. Just cheaper humans in a different time zone.

That's not automation. That's offshoring with better PR.

Why the distinction matters

If your job is genuinely being automated — if an AI system is actually doing the work that you used to do — then the response is one thing. You need to understand what the technology can and can't do, where the gaps are, and whether there's a role for you in managing, improving, or working alongside that technology.

But if your job is being offshored with an AI label slapped on it, the dynamics are completely different. The work still needs a human. Your company has just decided to pay a different human less money to do it. That's a labour arbitrage play, not a technology play, and the appropriate response is different.

When it's offshoring, your leverage is different. Your negotiating position is different. Your legal rights might be different. And your options for fighting back or negotiating a better exit are different too.

How to tell the difference

Here are the signs that what your company is calling "AI transformation" is actually offshoring with extra steps.

New hires in lower-cost locations. This is the most obvious one. If your company announces AI-driven efficiencies and simultaneously starts hiring in India, the Philippines, or Eastern Europe for roles that look suspiciously similar to yours, you're looking at offshoring. LinkedIn is your friend here. Search your company's recent hires. Look at the job titles. Look at the locations.

The AI tool is a thin layer. Sometimes the "AI" component is genuinely just a wrapper. A workflow tool that routes tasks to overseas teams. A translation layer. A project management system. These are useful tools, but they're not replacing you. They're replacing you with someone else and using the tool as the connecting tissue.

Your role is being "redesigned" rather than eliminated. When genuine automation happens, roles disappear entirely. When offshoring happens, roles get "redesigned" or "restructured" — which often means the same work is being done by someone else under a different job title. If your company is creating new roles that sound like your old role but with "global" or "centre of excellence" in the name, pay attention.

Knowledge transfer requests. If you're being asked to document your processes in exhaustive detail, create training materials, or spend time on calls with overseas teams explaining how you do your job... that's not training an AI. That's training your replacement. A human replacement.

The corporate playbook

Here's how it typically works, based on what i've seen.

Phase one: the announcement. The company announces a "transformation programme" driven by AI and digital efficiency. This sounds modern and inevitable. Nobody questions it because questioning AI sounds like being a luddite.

Phase two: the consultants. A big consultancy comes in and does an "assessment" of which roles can be "augmented or automated." This assessment, funnily enough, always concludes that a significant percentage of roles can be moved to a "global delivery centre." Which is consultancy language for an office in a country where salaries are a third of what they are here.

Phase three: the parallel build. While you're still doing your job, a team is being assembled overseas. They're being trained on your processes. Sometimes you're the one training them, without being told explicitly what's happening. You might be told it's about "building redundancy" or "follow-the-sun coverage."

Phase four: the transition. Your role is "made redundant" as part of the "AI transformation." The overseas team takes over your work. An AI tool might genuinely be part of the workflow, but the fundamental change is that a human in a lower-cost location is doing what you used to do.

Phase five: the quiet problems. Six months later, quality issues start appearing. Institutional knowledge has been lost. Client relationships suffer. But by then, the executives who made the decision have already taken credit for the cost savings and possibly moved on to their next role.

What you can actually do

If you recognise this pattern at your company, you have more options than you might think.

Ask direct questions. In team meetings, ask specifically: "Are the roles being eliminated or relocated?" Most managers will dodge this, but the dodge itself is informative. If it were genuine automation, they'd have no reason not to say so.

Check the legal position. In the UK, redundancy has a specific legal meaning. If your role isn't actually disappearing — if it's being done by someone else in a different country — there's a legitimate question about whether it's a genuine redundancy. This is worth getting legal advice on, because sham redundancies can be challenged.

In the US, the situation is different but there are still protections, particularly around mass layoffs and the WARN Act. If a company is offshoring a large number of roles, notification requirements may apply.

Document everything. Save job postings from overseas offices. Note the dates when knowledge transfer requests started. Keep records of any conversations where the nature of the change was discussed. This documentation could be valuable if you need to negotiate a better severance package or challenge the legitimacy of the redundancy.

Negotiate harder. If the company is offshoring rather than automating, your negotiating position for severance might actually be stronger. The company knows that what they're doing is less defensible publicly than genuine automation. They're more likely to pay for a clean exit. Our guide on negotiating severance covers the tactics.

Talk to your colleagues. Individual complaints are easy to dismiss. Collective concerns are harder to ignore. If your entire team is being offshored under an AI banner, there's strength in numbers. This doesn't have to mean formal union action (though it can). Even informal collective pushback can change the terms of the conversation.

Why companies do this

I don't think most companies are being deliberately deceptive. Well, some are. But mostly it's a convergence of incentives.

Offshoring is politically awkward. Telling your staff, your customers, and the press that you're moving jobs overseas for cheaper labour is a bad look. It generates negative headlines. It upsets people.

But framing the same move as "AI-driven transformation"? That's progressive. That's forward-thinking. That's a company embracing the future. The stock price goes up instead of down. The CEO gets praised instead of criticised.

The AI narrative also makes it harder for workers to push back. If a robot is doing your job, well, what can you do? You can't compete with software. But if a person in another country is doing your job for less money... that's a different conversation entirely. One that workers have more power in.

This is why the framing matters so much. By calling it AI, the company reframes a contestable business decision as an inevitable technological shift. And that reframing disarms you.

The bigger picture

I want to be clear: genuine automation is happening. AI really is changing how work gets done in many industries. I'm not saying every restructuring is offshoring in disguise.

But the two things are getting mixed up constantly, sometimes deliberately and sometimes just through corporate laziness. And if you're the person whose job is on the line, you need to know which one you're actually dealing with.

Because if it's automation, you need to adapt to technology. If it's offshoring, you need to understand your rights, your leverage, and your options. They require different strategies and different responses.

The one thing to do today: look at your company's recent job postings on LinkedIn. Filter by location. If you see roles being created overseas that mirror roles being cut domestically, you have your answer. And your answer should shape what you do next.