AI Was Meant to Kill Offshoring. It Didn't.

If AI were about to do all the work, the offshoring industry would be the first place you would see it. Whole business models built on doing repeatable information work at a lower hourly rate — exactly the work AI is supposed to eat.

The Philippines' offshoring industry is still growing.

That is worth sitting with rather than arguing with, because it tells you something more useful than any vendor roadmap will.

Customers do not want to talk to your AI

Every customer conversation I have had on this lands in the same place, and it lands there fast.

They do not want AI at the forefront talking to their customers.

The reason is not nostalgia. It is risk. AI is not certain. It can be wrong confidently, it can be talked into things, and it can be deliberately played with by someone who knows what they are doing. When the thing that is uncertain is sitting in front of your customer wearing your brand, every mistake is a public one.

That risk calculation is the whole answer. In an internal process, a wrong answer costs you a rework. In a customer conversation, a wrong answer costs you the customer — and occasionally, if the subject was money or health or a commitment you now have to honour, it costs you a lot more than that.

So the work that stays human is the work where being wrong in public is expensive. Which is most customer-facing work.

A small proof from last week

I was after some SEO information. I did what everyone does now — I went to AI first, and I spent hours going back and forth on it.

Then I spent five minutes with someone who actually does SEO for a living, and the five minutes beat the hours.

Not because the AI was stupid. Because the expert knew which question I should have been asking, and knew it immediately. That is the thing that does not show up in any benchmark: an expert compresses the problem before answering it. AI answers the question you asked.

It is still about speed, and on that job the human was faster. I keep having versions of this experience and I think a lot of people are quietly having them too, and not saying so because the room expects them to be enthusiastic.

So where does AI actually pay?

Internally. Almost entirely internally.

AI is making real optimisations right now, and they are nearly all in the part of your business the customer never sees — automating steps of your own process, moving information between your own systems, doing the first pass of work a person then checks. That is where the maths works, because a wrong answer there is caught before it leaves the building.

The big wins in customer service, marketing and software development are still going to experts. Not because AI cannot contribute to those — it contributes to all three inside our own business — but because the judgement at the sharp end is still the thing being bought.

What to do with that

If you are trying to work out where to point AI in your business, invert the usual instinct.

Do not start with the customer-facing thing, even though it is the most visible and makes the best slide. Start with the internal process nobody outside the business will ever see. Get the wins there, build the muscle for documenting process and checking output, and let the customer-facing question wait until you have earned an opinion on it.

The offshoring industry growing through the AI boom is not a hole in the story. It is the story: humans are still the answer where certainty and trust are the product, and AI is the answer where speed and volume are.

If you want help working out which of your processes is which, come and have a chat with us — or get this kind of thinking weekly.