Emma Wiles
@emmawiles.bsky.social
7.4K followers 830 following 430 posts
Assistant Prof. Boston University. Formerly MIT Sloan. AI in labor markets, digital platforms, a secret third thing (min*m*m w*ge.) Other interests: diabetes, musicals, and the premier league. née van Inwegen
Posts Media Videos Starter Packs
Pinned
🚨 New paper alert, with @johnjhorton.bsky.social! Using an experiment run on a large online labor market, we provide evidence that providing employers access to an AI-written first draft of a job post harms the efficiency of the market.

emmawiles.github.io/storage/jobo...
How many times is too many times for me to bring up the new Taylor Swift album at today’s faculty meeting?
Identify a tick, like the bug! Nothing newfangled!
Asked my teenage babysitter who just started vet school to ID a tick. Without blinking, he took a photo and uploaded it to ChatGPT.

The Youths are using AI with the same reflex my generation had for googling or watching youtube tutorials.
There are about 100 dynamic constraints that need to be satisfied for my newborn to sleep.

If this is representative, I do not see how the human race is still alive
bless you. But also, trust no one, you know?
Rough day for those of who work with large companies to study the effects of AI
Huge day for me, frankly
Reposted by Emma Wiles
Lots of people dunk on this, but replace dolls with medical equipment or any number of food items and it's less funny.
Trump: "I don't think a beautiful baby girl that's 11 years old needs to have 30 dolls. I think they can have three dolls or four dolls ... they don't need to have 250 pencils. They can have five."
I’ve thought about the Maggie Smith poem Good Bones every day since she was born
Happy to announce that @edwardwiles.bsky.social and I have a new addition to the family! Welcome to the world, Penelope!
Reposted by Emma Wiles
Trump has perfected the art of Pareto Worsening, a change in allocation making at least one person worse off without making a single person better off.

Trade war, Medicaid cuts, science cuts, there are no winners here, only losers.
New office decorations just dropped
Reposted by Emma Wiles
Your tariff rate is your star sign divided by the number of boys you've kissed, multiplied by one
👏 come on universities, let’s see more of this. Conceding has gotten Columbia jack s***, let’s stand up to the bully together
Relatedly: University President Christopher Eisgruber signaled that Princeton would not make concessions to the federal government in an interview with Bloomberg after news broke that the Trump administration had suspended dozens of the University’s research grants.
In Bloomberg interview, Eisgruber signals that Princeton will not make concessions
University President Christopher Eisgruber ’83 signaled that Princeton would not make concessions to the federal government after news broke that the Trump administration had suspended dozens of the U...
www.dailyprincetonian.com
Reposted by Emma Wiles
Relatedly: University President Christopher Eisgruber signaled that Princeton would not make concessions to the federal government in an interview with Bloomberg after news broke that the Trump administration had suspended dozens of the University’s research grants.
In Bloomberg interview, Eisgruber signals that Princeton will not make concessions
University President Christopher Eisgruber ’83 signaled that Princeton would not make concessions to the federal government after news broke that the Trump administration had suspended dozens of the U...
www.dailyprincetonian.com
TLDR: AI caused a lot more job posts, but no more jobs!

While the intervention did save employers time, the welfare loss to jobseekers from time wasted on applications is 6x the size of the welfare gain to employers. Suggests widespread use of LLMs can harm market efficiency.
After the experiment, the market rolled out the tool to 95% of new employers. A difference in difference analysis suggests results hold or get worse as more of market is exposed to AI.
Here, you can see that in the control group, job posts where the employer spent almost no time writing receive fewer applications. However, in the treatment group, job posts where employers spent 0-2 minutes writing the job post get *more applications*!
The AI appeared to dilute signals of employer seriousness: here we show that in the control group, the time an employer spent writing a job post is correlated with how long the job post is. In the treatment group, this relationship is much weaker.