I think Elon's takeover of twitter set something of a precedent too: if he could reduce headcount as much as he did and still have a functioning product, then why can't I?
BTW I also don't think it has much to do with that engineering tax deferral code change that people keep talking about. My cynical hunch is that that topic keeps getting seeded by the billionaires who have the most to gain by reversing it, and hey maybe they'll hire an extra engineer or two afterward just to be good sports, but it's not going to reverse any major employment trends.
1. Rise of remote work: sure, it was there in some form. But prior to 2020, state of the remote work tools was abysmal. The prevalent culture was also about hiring the whole teams. After covid, remote work tools are far better. And companies learned to onboard one new remote hire at a time which over time is now allowing them to replace US workers with cheap overseas ones at a manageable pace.
2. end of cheap money - if the risk free rate is 4-5%, the demand from risky ventures like software startups is going to go up. So funding has dried up at the margins.
3. rise in the discount rate - related to the previous point, the discount rate one applies to investments have gone up. That means startups valued at 1B are now valued only at a few hundred millions. So to avoid down or flat rounds, startups have to cut costs drastically and show profitability to justify a higher valuation. Cue all the job cuts, belt tightening and death marches with a skeleton crew.
4. rise of AI - AI is helping with productivity of coding and non-coding tasks. It is also acting as an excuse for #3 when laying people off.
In my experience, all these are meaningful factors for the abysmal state of the developer market.
Half kidding of course, but AFAIK many industries went through such a transformation and today most social and political issues stem from those areas that once were affluent lost their industries. Why not the software too?
With software any body can build and put something out there (ignoring quality and tech debt and taste etc). Where software might go the way of manufacturing is when price of ai actually reflects hardware costs (my estimates of the realistic Claude max pricing at cost is between 7-10k and month). Now put together other structures that will come up to "industrialize" ai+software software may not have easy entries sadly.
We're rewriting the belt.
Would it be any worse than the Dot-com bust?
"In contrast, professional and business services were down 7,100 jobs in July, the worst of any sector, and the tech-heavy information sector lost 1,000 jobs."
This could be many things. People could be leaving to do their own startups. The BLS counts that as a job loss thus high-velocity sectors can be reported as job loss.
Plus BLS household survey probably has some non-response bias from it re: high income, low time individuals, precisely the folks chiming in.
I think it's the BBB that fixed the tax code issue - just a guess.
Sad to see that to some extent that's exactly what happened. My current tech take is that developers shouldn't allow AI and/or agents to do the entirety of their job, rather allow them to do more, and it should be framed as such specifically. e.g. don't use AI to write the entire feature, use it to make the feature better and drive more revenue, or more correct and result in less bugs, thus less wasted effort on ops/etc.
It's amusing to see some people excited for AI to do the entirety of the implementation and planning, as if there would be no impact on us. If AI is that good, you just need TPMs (to the extent it's even possible, anyway).
It's no surprise to see that jobs that cannot be done remotely are making a comeback.
It's not helpful to just talk about absolute numbers of jobs gained or lost in a sector without talking about percentages and historical variability.
It also appears the California number cited is based on a survey of ~4K people, some reporting they can't find work, while e.g., Federal unemployment is a function of people getting unemployment benefits. Do states do the same surveys with the same methodology, so the numbers are comparable? Likely not. So the term seems to be used in different senses, and "worst in the US" is unsupported.
Further, for tech in particular, it's not clear which jobs were converted to contracts, for AI services or outsourcing (in or out of US).
This kind of salad article is likely the future: enough for the general public worried about jobs, but not helpful to anyone who actually wants to understand and plan accordingly.
Time to cull the waterloo crowd and maybe think twice about cheap outsourcing to latam and india.
https://www.cbsnews.com/news/trump-fires-commissioner-of-lab...
Serious question: who is producing reliable numbers now? The Trump administration is actively suppressing federal reporting and openly threatening to cease collecting and reporting data,
and this is absolutely signaling to sycophants and supporters that they should falsify or withhold unflattering data.
This is a truly terrible timeline.