Oracle Plans Thousands of Job Cuts in Face of AI Cash Crunch
Source: Yahoo News
(Bloomberg) -- Oracle Corp. is planning to ax thousands of jobs, among its moves to handle a cash crunch from a massive AI data center expansion effort.
The job reductions will affect divisions across the company and may be implemented as soon as this month, according to people familiar with the matter who asked not to be named discussing the still-private plans. Some of the cuts will be aimed at job categories that the company expects it will need less of due to AI, two of the people said.
Led by Chairman Larry Ellison, Oracle is embarking on a historic build-out of data centers to power AI workloads for customers such as OpenAI. The company, long known for its database software, has been making a transition the past few years to bulk up its cloud computing unit with a focus on AI, intending to become a viable competitor to market leaders Amazon.com Inc. and Microsoft Corp.
Wall Street projects the expenditures by the cloud unit for data centers to push Oracles cash flow negative over the coming years before the spending begins to pay off in 2030, according to data compiled by Bloomberg. Last month, Oracle said it would raise as much as $50 billion this year through a combination of debt and equity sales.
Read more: https://finance.yahoo.com/news/oracle-plans-thousands-job-cuts-180243222.html
sakabatou
(46,059 posts)OC375
(755 posts)Miguelito Loveless
(5,688 posts)are coming home to roost.
unc70
(6,497 posts)They now have to leverage everything get the cash for the merger, the cash that Ellison's, et al will receive as they cash out. What a disaster in the making.
Ellison's companies have always used aggressive accounting. For example, "revenue" would be booked before any work was performed, before contracts were signed, etc., and without provisions for cost of deliverables or liabilities. If it moved, it was booked as sales and as revenue, often well after the end of the quarter.
From what little I know of the acquisition of WB Discovery by the Ellisons, I see all of the entities involved being loaded up with debt, stripped of their valuable assets (looted), and hollowed out.
SWBTATTReg
(26,237 posts)systems developer in IT, Specs are laid out by clients, costs are tabulated, and work is eventually scheduled, if determined to be feasible. I think that the backlog of AI-feasible projects is so new, so in need of being developed, created, fleshed out, that I, IMHO, don't think that no one really knows 100% what AI can bring to the table, perhaps a very few things, but lots of tasks? I am doubtful many are out there. I suspect that the infrastructure for AI development is yet to be put in place. The development of the AI code to be designed as well as the engineered machine components (if required) remain to be developed. So many tasks, similar to writing computer code.
Will be interesting to watch. Kind of like watching the Internet be born on a larger basis in the early 1980s (minor platforms by the RBOCs, AT&T), which then after the breakup, developed into many different channels/outlets.
SWBTATTReg
(26,237 posts)Anthropic is tracking which jobs are most exposed to AI. These 10 professions top the list. By Megan Cerullo Updated on: March 6, 2026 / 3:47 PM EST / CBS News
I only snipped short parts of this article, too long but still informative, makes many of the same points I do. Anyone bringing in new tech in would know these issues, and in the IT world, we all have been exposed to bringing in new tech, as part of our jobs, writing software never before written, etc. Also, if many IT people are like me, we have vast libraries of stored code already written that we can grab portions of, or all of, and reuse the code, this reduces the percentage of AI impact since we, the programmers do a lot of this impact already (grabbing already written code, reusing it, etc.).
Anthropic, the maker of the AI chatbot Claude, says it has built an early warning system to track which U.S. jobs are most exposed to artificial intelligence and its initial findings suggest many white-collar roles sit near the front lines. Etc. ME: The evidence thus far, suggests limited evidence that employment has been impacted thus far.
Most exposed occupations, to determine a job's exposure, Anthropic compared AI's ability to perform specific tasks with how common those tasks are across professions. Jobs are made up of many tasks, with some of them easily replaced by AI, while others are difficult to replace. Take teaching, where an AI chatbot could grade homework but wouldn't be able to manage a classroom of children, the researchers noted.
Anthropic said a job's "exposure" is based on the percentage of its tasks that artificial intelligence could potentially speed up or help perform.
These are the 10 professions Anthropic identified as most exposed to AI:
Computer programmers: 75%, Customer service reps: 70%, Data entry keyers: 67%, Medical record specialists: 67%, Market research analysts and marketing specialists: 65%, Sales reps: 63%, Financial and investment analysts: 57%, Software quality assurance analysts: 52%, Information security analysts: 49%, Computer user support specialists: 47%
The least exposed occupations tend to require physical abilities. Jobs such as groundskeepers, cooks, motorcycle mechanics, lifeguards and bartenders ranked among those with the lowest exposure. IN SHORT, THOSE JOBS NEEDED HANDS-ON HUMAN HANDLING.
ToxMarz
(2,891 posts)Don't know anything about his finances, but he's gotta be stretched pretty thin.
flashman13
(2,325 posts)The cut backs are necessary because of, "cash flow negative over the coming years before the spending begins to pay off in 2030 ". That's a nerdy way of saying we are losing our ass because of over investment and lack of customers. They plan to raise another $50B this year to keep the ball in the air. That is an awful lot of debt to cover until 2030. It takes magical thinking to believe that on day certain, 2030, income is going to exceed expenses.
I find this astonishing, but I heard that there are over 5,000 data centers on line or under construction in the country. That represents 45% of all the data centers in the world. Just how much AI is enough AI? There is only a finite number of potential AI users. When you slice that pie into 5,000 pieces you have to wonder how any organization can pay the debt and make a profit. It sounds like we might hear a lot more about "cash flow negative". You can't invest billions with returns in the millions for long and survive.
And let's set aside the cost of building electric infrastructure to power these data centers. Some of these outfits are proposing building their own dedicated nuclear (or fusion???) power plants to power these monstrosities. Utterly ridiculous!
highplainsdem
(61,597 posts)for the $20 tier. 100 a day for the free tier, Billions of worthless images generated every month, maybe every day, almost all discarded immediately as more images are generated in seconds, until the AI user gets something they want to try to pretend is their own "art."
So much water, electricity and money being wasted for pure slop...but it does hook some people on AI so they don't care about all the harm it does.
Dem_in_Nebr.
(343 posts)Hire the people back!
jmowreader
(53,104 posts)It requires massive amounts of hardware, buildings and power, and the customers for AI are NOT going to pay what it costs the company to be profitable. About a week ago I was driving my non-AI-powered automobile with my radio rolled up on one of the SiriusXM sports channels. On comes a commercial for Oracle AI... "We do this for 30 percent less than the competition."
Wonder Why
(6,849 posts)RainCaster
(13,630 posts)They have so very little to offer and yet they are spending capex at a rediculous rate. Then they have chosen to cut opex which will cut their valuation.
Their customers will quickly see that they can use AI to code up a replacement for Oracle's database using Open Source. At the same time, their customers are cutting their seat count for licenses because they are replacing employees with AI. Oracle loses on all fronts.
FakeNoose
(41,252 posts)That's what happens when you lay everyone off.