AI is genuinely good at the mechanical layer of language. It translates a document in seconds, flags your split infinitives, drills vocabulary at 11pm without complaint, and never sighs when you ask about articles for the fourth time. Any training programme that ignores that is simply romanticising the classroom.
But developing real business language skills was never a mechanical problem. It is a human one: knowing that this client wants the bad news first, that the meeting runs on humour, that the most confident voice in the room is the one that needs correcting most. AI can describe the rule; it cannot read your supplier’s face, notice that one of your team has stopped volunteering, or make hard feedback land without putting the room on the defensive.
There is the motivation problem too. Algorithms have no expectations of you. A teacher who notices you dodged the client call, who schedules the role-play you were avoiding, who makes cancelling slightly awkward — that is not a nice-to-have. It is most of the mechanism.
The sensible answer is both: machines for volume, repetition and homework; humans for judgement, culture and the conversations that actually change how someone works. Use AI to practise. Use a teacher to progress.
We build programmes in exactly that split — and no, the robot did not write this post.
– fin. Questions? Just ask.
We teach this stuff for a living.
Our training sessions turn posts like this into practical skills, clearer emails, smoother meetings, fewer cultural awkward moments.