| Website | https://adamcaudill.com/ |
| Github | https://github.com/adcaudill |
| Exposera | https://exposera.com/u/adamcaudill |
Uber’s CEO is bucking the tech hiring trend. He says AI is making engineers 20%-30% more productive so while big tech is doing layoffs arguing they need fewer devs, he argues engineers are even more valuable so Uber is hiring more of them.
The big difference is FAANG needs those layoffs to pay for GPUs and AI data centers while Uber doesn’t.
This poll is at over 1k votes, and so far the numbers are worse than I expected. I knew that just as a matter of interest, that those that are unemployed or are underemployed would be somewhat more likely to respond - but I didn't expect the numbers to look this bad.
From the number of people openly looking on LinkedIn and here, I knew things were bad. I didn't know that it was this bad. https://infosec.exchange/@adam_caudill/115730663985898938
My goal with this poll is to surface what I suspect is actually happening: the number of people that are either unemployed or underemployed is actually a fair bit higher than what's being reported.
Either from not filing for unemployment benefits, amount of time spent looking, or otherwise having fallen through the cracks of how reporting is done.
Something more complex seems to be going on with employment, and especially in the tech sector. Something that's being missed in official numbers.
I suspect that current unemployment numbers are missing something. The numbers don't seem to reflect the reality I'm seeing on here or on LinkedIn. The number of people looking is higher than I've seen in my career, but the official numbers aren't that bad (4.6% in the US). So let's run a little unscientific experiment.
If you work in tech, or something broadly tech-adjacent, please vote and boost for reach.
| Unemployed | |
| Underemployed | |
| Employed |
I'm toying with an update to the design of my site. Darker colour scheme (when in dark mode), and adding a header image to the page. A photo I took of a colonial-era building near Savannah, GA.
Thoughts? Is this better? Too dark? I think it's an improvement, though while the colours line up with the image, they do seem a bit boring.
I expect software engineering will see a similar but less drastic decline driven by AI automation. We’re at phase 1 of the decline where entry level jobs have essentially disappeared and salaries have declined over the past three years (both nominal & inflation adjusted).
What’s unclear is what’s the bottom on both tech employment and compensation decline.
It has been 20 years since I first used machine learning to solve a complex business problem. The underlying problem was simple: the company was selling a new service and wanted to know who was most likely to buy it. We had millions of records, and each record had hundreds of fields. A vast amount of data, but no idea how to extract insight from it. Countless hours from various data analysts had been invested into finding a pattern, but none was forthcoming.
Dare Obasanjo
❄️☃️Merry Jerry🎄🌲