ATMs didn't kill bank teller jobs, but the iPhone did
https://davidoks.blog/p/why-the-atm-didnt-kill-bank-teller> the number of tellers per branch fell by more than a third between 1988 and 2004, but the number of urban bank branches (also encouraged by a wave of bank deregulation allowing more branches) rose by more than 40 percent
So, ATMs did impact bank teller jobs by a significant amount. A third of them were made redundant. It's just that the decrease at individual bank branches was offset by the increase in the total number of branches, because of deregulation and a booming economy and whatever else.
A lot of AI predictions are based on the same premise. That AI will impact the economy in certain sectors, but the productivity gains will create new jobs and grow the size of the pie and we will all benefit.
But will it?
Is an app really that much easier to use?
On the premium end of banking, where users generally aren't stressed about money, offering an app is more about catering to however the user prefers to interact.
First, ATMs increased the demand for bank branches, which more than made up for the decrease in tellers per branch.
Second, mobile banking decreased the demand for physical branches.
What I noticed however is a noticeable decrease in service quality in bank branches while online (desktop browser) options became better. Banks pushed customers out of their branches progressively. In the early 2010s tellers couldn't do anything you couldn't do online by yourself. For services like dealing with large quantities of cash, or coins, they made it so that you couldn't do more than what the ATMs allowed you to do, limiting the amount of cash the branch had access to and increasing how much you could withdrew from ATMs.
They didn't get the idea to fire all their tellers when Steve Jobs announced the iPhone. It was a decision at least a decade in the making. It is just that people tend to resist change so it happens slowly, especially for big, serious business like banking. And I don't think it is a bad thing.
Any time I needed anything advanced, I get shuffled to someone else.
I think the idea raised about "Automated Firms" is a bit off in the picture painted in that linked article. I think the David Oks intention is to paint a picture of a fully automated company, but the linked article gives this impression:
> Future AI firms won’t be constrained by what's scarce or abundant in human skill distributions – they can optimize for whatever abilities are most valuable. Want Jeff Dean-level engineering talent? Cool: once you’ve got one, the marginal copy costs pennies. Need a thousand world-class researchers? Just spin them up. The limiting factor isn't finding or training rare talent – it's just compute.
In that above paragraph the author is saying to the reader that a human will be able to spin up and get these armies of intelligent workers, but at the end of the day their output is given to a human who presumably needs to take ownership of the result. Intelligent workers make bad choices or bad bets, but those AI machines cannot "own" an outcome. The responsibility must fall on a person.
To this end, I think the fully autonomous firm is kind of a fallacy. There needs to be someone who can be sued if anything goes wrong. You're not suing the AI.
There is no clear link to the iPhone causing lower teller employment.
This article does have a glaring omission: The 2008 financial crisis effects on the banking industry in general. When there are fewer local banks there are naturally fewer tellers employed. Bank failures peaked in 2010 in the aftershocks of the crises, which lines up nicely with the articles timeline.
I mean, there is definitely a turndown period in labour force when a new tech is introduced, but it will defintely produce more jobs tho, as an evolution of human history. <3
why do so many writers claim this as a matter of fact? are we losing (or did we never have) a shared definition of the word "think"? can an LLM, at this time, function with zero human input whatsoever?
edit to add: these are genuine questions, not meant to be rhetorical :)
it's hard for me to gauge a broader understanding of AI/LLMs since most of the conversations i experience around them are here, or in negative contexts with people i know. and i'll admit i'm one of those negative people, but my general aversion to AI mostly has to do with my own anxiety around my mental health and cognitive ability in a use-it-or-lose-it sense, along with a disdain for its use in traditionally-creative fields.