- cross-posted to:
- technology@lemmit.online
- cross-posted to:
- technology@lemmit.online
I see the new definition of “unavoidable” has just dropped.
Tech CEOs: Shove AI in everything they do
Ram Prices: Skyrocket to account for AI usage
Tech CEOs: Price raises are unavoidable!
The AI-driven price increases:

Heaven forbid their margins be lowered. 46% is barely scraping by!
AI isn’t driving up prices. Oligarchs are. And they aren’t using their own money but our retirement funds to do it.
Ai is just a tool. One that is being built out because the billionaires demand it. They are already wielding this tool to bludgeon the masses.
Maybe we were askng for it by dressing that way.
I guess there’s going to have to be a law, since the perpetrators just can’t control themselves.
Bah, maybe in some backwater European country like Germany or France, no laws in Freedomville™ America, Laws are for COMMIES who hate capitalism!
/s
It’s everything with any memory or processing onboard.
I’m seeing it in my industry, devices are increasing in price every quarter to 6 months. These all cost businesses more money than even a year ago, and those costs will be passed to us.
It’s easy to call Apple out, but understand that any device in your house with any memory from robot vacuums to home surveillance cameras to routers are all affected by this drain of chips and components.
We’re also facing a shortage of the materials for PCBs.
Alongside the existing helium shortage, we’re going to see higher prices for every part of a computer, even without the chatbot hype buying.
Hmm…I don’t own a car so I can avoid high gas prices. I think I can safely stay away from AI and save the big bucks. Forced adoption of AI sounds so “mark of the beast” to me.
The price increases will trickle to you in some form
Demand for electricity will raise electricity prices, and demand for gas to run the electricity plants will raise heating costs.
Demand for RAM makes the price of even Rapsberry Pi go up. The AI bubble is the tail wagging the economy dog.
Maybe a little, but the rise in the costs of AI will make a huge number of people to stop using it since it’s not that life changing, bringing the prices down again.
Because the cost of memory is driving up device prices.
Removed by mod
Man, spambots in 2026 fucking suck
I miss them selling greymarket dickpills
Interesting how it’s driving up hardware costs and driving down software costs
Why do you think it’s driving down software costs?
I can see it’s driving down costs, I work in industry. Lots of competitors have popped up with AI apps with lower prices. There’s a reason it’s called the SaaS apocalypse
Well as a person who is working as a software developer I wouldn’t be so hasty.
You can write more code, but that has never been a real bottleneck. Understanding and maintenance of this code is another matter altogether.
Add to that the price of AI subscriptions are currently heavily subsidized by venture capital and even with the subsidies tokens turn out to be more expensive than people.
Also no one is calling it SaaS apocalypse.
https://www.economist.com/business/2026/06/10/fear-of-the-saaspocalypse-is-tormenting-techland
https://www.forbes.com/sites/donmuir/2026/02/04/300-billion-evaporated-the-saaspocalypse-has-begun/
https://techcrunch.com/2026/03/01/saas-in-saas-out-heres-whats-driving-the-saaspocalypse/
https://www.risingtrends.co/blog/saas-apocalypse-trend
It is very much being called the SaaS apocalypse…
Where are AI subscriptions subsidised for enterprise use? Github copilot was the last to drop the subsidised model for big business at the start of the month as far as I can tell. Only individuals and very small businesses are getting subsidised subscriptions now, and it’s still super economical and cost efficient to use even frontier models at API billing rates compared to humans. A human can work all day on debugging a software defect, or Opus can find the root cause in ten minutes for $20. Sure that still needs reviewing but that’s insane productivity AND cost improvement
This is more of a parallel of the video game crash that happened before. When the video game consoles created a bubble in the US every body suddenly started creating video games, to the point many were so bad they were literally unplayable. When the market got flooded with bad games, people stopped buying games (since no one trusted the quality anymore), leading to a crash in the industry: https://en.wikipedia.org/wiki/Video_game_crash_of_1983
For my projects, finding the cause of a bug is rarely a problem once it’s reported. It’s fixing it in a way that doesn’t negatively impact things upstream or downstream that’s a pain.
How’s AI supposed to help when we’ve got to negotiate with several other stakeholders on what changes we’re going to make?








