Will Your Job Be Replaced By AI? Read This Handy Chart To Find Out!

So this flashy chart made the rounds on social media recently because it seems to show you if you’re going to lose your job because of AI and we humans are just suckers for anything that promises to tell our future, aren’t we?

The graph comes from a research paper by economists Maxim Massenkoff and Peter McCrory working at Anthropic who definitely don’t have a vested interest in making AI look like it can do a bunch of jobs.

There’s a bunch of interesting observations such as, “Workers in the most exposed professions are more likely to be older, female, more educated, and higher-paid.” So, sorry about that, mom.

But onto the graph itself:

And it’s all pretty much what you’d expect. Stuff that requires talking directly to people or dealing with physical objects are least likely to be affected whereas more abstract, numbers focused areas and stuff will potentially be hardest hit.

What’s more interesting though than the sectors is the gap between the ‘observed’ AI coverage and the ‘theoretical’ coverage. Nice of them to put that distinction in there.

To me it kind of shows that AI’s not really hitting the way it should yet. There’s massive promises but still a big gulf between where it’s at and where it’s supposed to be.

I mean you may have seen stories of people being laid off to be replaced by AI but rumors may have been greatly exaggerated. For example Jack Dorsey’s ‘Block’ fired a bunch of people and claimed it was because of AI when really they just overhired during COVID but want to look tech-forward to investors.

I’m not saying it’s not happening (two of my writer colleagues were let go let month and AI writes all their content now), but just bare in mind that the tech industry is entirely built on hype.

Just the name itself, ‘AI’, is overpromising what it actually is because we’re yet to see sci-fi levels intelligence but they’re banking on you making that assumption yourself.

There’s a lot of hot air flying around, blowing up AI to make it something bigger than it actually is. And I’m sorry to say that this graph and indeed this article is just another example of that.

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