#ailayoffs

We are training it to do our jobs. At first it will help us be more efficient. Then we will be helping it to be more efficient.

Then we go bye bye.

Many people join companies like Amazon and Meta not to stay long-term, but to get a powerful stamp on their resume. They know the high-pressure environment means they can't last, but the initial stock and the brand name are worth it.

I saw this firsthand at Meta. The system is brutal: a performance review every six months and a yearly evaluation that lets go of 10% of the workforce. Despite this, people still join because that “Amazon” or “Meta” on a resume leads to bigger salaries and more stock options elsewhere.

Oracle used to be a different story—a place with good work-life balance but lower pay. Now, with its focus on AI, the pressure is on to cut costs. The plan is to lay off 10% of each team every six to twelve months. This makes it a risky place to be.

This instability is a huge problem for many H-1B visa holders. Constant layoffs can prevent them from applying for their I-140 or Green Card, putting their future at risk.

No longer look for WLB. Just focus on salary, promotion if not run.

Nearly half of US companies have slowed or frozen hiring in 2025, with 39% already laying off workers and 35% planning more cuts before year-end.

Looking ahead, about 60% of businesses expect layoffs in 2026, citing trade policy, tariffs, economic uncertainty, and AI adoption.

High earners, employees without AI skills, recent hires, entry-level workers, and certain age groups are most at risk.

Almost 30% of companies have already replaced roles with AI in 2025, and 37% expect to do so by 2026.

68% of firms increased AI investment this year, accelerating workforce automation.

Jobs with repetitive or administrative tasks are being automated first, while new opportunities are emerging in AI oversight, compliance, and human-AI collaboration.

Workers who combine digital fluency, critical thinking, and emotional intelligence will remain in highest demand.

https://allwork.space/2025/09/6-in-10-businesses-plan-2026-layoffs-fueled-by-ai-and-economic-fears/

So far, Intel has not implemented any AI system that can reduce HC. Is LBT going to lead the company in that direction ?

Forty seven humans fired from hagerstown maryland. No longer needed due to the A.I taking over our jobs.

The newest roll out seems innocuous enough on da surface, but be warned, MARLEY id an AI learning nodule! It tracks and learns from your every movement ! You are literally training your replacement!!!

Google has laid off over 200 contractors who worked on improving its AI product offerings, Gemini, and search AI overviews, according to Wired. Some were told it was part of a "ramp-down" on the project they were working on, but others believe it was due to complaints made over pay and working conditions. These laid-off contractors join hundreds of other AI-related contractors who have been fired from other major AI firms like xAI and Meta in recent months.

https://www.tomshardware.com/tech-industry/artificial-intelligence/google-terminates-200-ai-contractors-ramp-down-blamed-but-workers-claim-questions-over-pay-and-job-insecurity-are-the-real-reason-behind-layoffs

Fiverr announced on Monday that it will lay off around 250 employees, or roughly 25% of its workforce, as part of a sweeping plan to transform the company into what its founder and CEO Micha Kaufman described as an “AI-first” business.

https://www.calcalistech.com/ctechnews/article/my0gxhpzg

Cisco ELT is essentially forcing you to document your workflows, your decision-making processes and your institutional knowledge into their internal AI systems.

But Why?

They will eventually replicate your work. Every query, every correction, every refined prompt is training data that makes the AI more capable of doing your job. The strategic goal is what economists call "capital labor substitution" which is a gradual replacement of expensive human labor with cheaper AI capabilities while keeping output the same. By mandating internal AI use, Cisco ELT extracts maximum value from you now while capturing your expertise and figuring out which roles can be automated or eliminated. forcing you is necessary because voluntary adoption has been too slow. Cisco needs comprehensive data on how your work actually gets done and you need to train the AI systems.

When Cisco mandates internal AI use, they're forcing you to externalize your expertise and decision-making processes into their corporate-controlled system.
This creates a systematic deskilling effect that also causes you to gradually lose the deep domain knowledge you have. (your brain literally atrophies). You are becoming dependent on AI prompts rather than developing independent problem-solving abilities.

It doesn't matter to them because your tacit knowledge and institutional wisdom is getting captured by the AI system. The end result is a commoditized workforce where new hires need minimal training (the AI contains all the institutional knowledge) and minimal pay (race to the bottom). You can't take critical expertise with you.

Finally, the remaining workers (their friends and family) can easily manage the "you" trained AI

When you get the pink slip, you lose access to the corporate AI systems and your collective knowledge remains permanently owned by the company.

• xAI reportedly laid off at least 500 AI tutors working on Grok

  https://www.engadget.com/ai/xai-reportedly-laid-off-at-least-500-ai-tutors-working-on-grok-130059624.html

.... xAI has laid off at least 500 workers from its data annotation team, the company's largest, according to Business Insider....

• Company: xAI
• Number of People Laid Off: 500
• Published At: 09/13/2025 & 12:46 pm UTC
• Industry: Tech

Summer surge is wrapping up and "Liberate", the new AI, is almost done being developed. They will be "liberating" more service staff VERY soon. Prepare now.

The New York Fed reports that artificial intelligence is spreading quickly across firms in New York and Northern New Jersey, while links to job cuts remain limited. The study asked employers about how they use AI and whether those tools have changed staffing, providing a snapshot of adoption and near term plans.

In services, uptake has accelerated. Companies reporting AI use rose to 40 percent this year, up from 25 percent last year. Nearly half of service firms, 44 percent, say they plan to implement AI within the next six months. This suggests a pipeline of projects moving from testing to day to day operations, especially for customer service, content work, analytics, and internal support.

Manufacturers are adopting more gradually but the trend points upward. Reported AI use climbed from 16 percent last year to 26 percent this year. About one third of manufacturing firms plan to bring AI online in the coming half year, indicating growing interest in quality control, maintenance, and supply chain applications, even if integration with physical processes takes longer.

On employment, the survey finds only a small share of businesses connecting AI deployments to workforce reductions. Early evidence points to AI being used to streamline tasks, raise productivity, or reassign work rather than to drive broad layoffs. That does not rule out future restructuring, but it implies near term adjustments are modest and targeted.

https://menafn.com/1110027218/New-York-Fed-Reports-Rise-in-AI-Adoption-Few-Layoffs

No surprise transformation and AI are major themes these days, but I’ve been hearing rumors about this Counterpart AI thing. What’s the deal with this? Seems leadership is being pretty coy and trying to suppress discussion on the topic. Should we be worried about another big wave of departures because of this?

In 2017, a tax bill cut a key incentive starting in 2022 to look revenue neutral. The bill was still a massive tax cut overall.

The cut removed the writeoff for R&D…

That change made it more expensive to hire people in R&D. This included developers not essential to daily business and most scientists. Big cos were hit hardest since they run more R&D at any given time.

For customer service cuts, not affecting us much tho, the reason for shrinkin workforce is different. Companies just do not care. Phone trees, powerless outsourced reps, and broken websites have annoyed people for decades. But firms do not compete on good service, just price…

Investors like hearing about AI replacing this work. Companies cut more staff and service quality drops. There is little pushback from markets or regulators. That means cos face no real pressure to stop making service worse.

It will get worse before it gets better - at 66 it will be late for me.

“Benioff called the first eight months of 2025, during which an estimated 10,000 jobs have been lost to AI, “eight of the most exciting months of my career.”

https://www.kron4.com/news/technology-ai/sf-tech-ceo-says-ai-enabled-him-to-cut-4000-jobs/

In a Thursday interview with CNBC on the same day of the report, CEO Chuck Robbins addressed AI technology in the company’s workforce.

“I don’t want to get rid of a bunch of people right now. I don’t want to get rid of engineers,” Robbins said. “I just want our engineers we have today to innovate faster and be more productive and that gives us a competitive advantage.”

Robbins said if AI keeps advancing at Cisco, the company could possibly hire fewer employees. Cisco did not respond to SFGATE’s request for comment on the latest round of layoffs.

https://www.sfgate.com/tech/article/bay-area-tech-titan-announces-layoffs-strong-20826542.php

AI is being deployed. It will help management in so many ways that you aren't thinking about yet. It's scanning your IMs and emails right now looking to see how well you are performing and... to see if you are using it for non-work purposes. Gossiping? Romancing? Sending memes? Things are going to get real for you!

AI is already being integrated with conventional and humanoid robots. In some companies (like BMW), humanoid robots are already performing "tasks only a human can do." Right now, AI can design 3D parts, write computer programs and apps, perform complex accounting and financial tasks on the enterprise level, write patent applications, create marketing plans, perform business analysts of the competitive environment and also match VOC data with real world solutions/opportunities.

You are going to complain your way into living in your car.
Just so you know, many of us who hear the hand-wringing at work (or read it online at Reddit) can see this very clearly. You have months, not years.
You definitely won't retire one day from GM 10-20 years from now with a fat 401k.
You are 100% obsolete.
Make sure you get those cost-cutting and AI integration goals on that cap.
It's the 21st century version of training Raj as your replacement.
I can already hear, "GM would fold without me!" "I'm not replaceable!" "The technology is not THERE yet." I'm laughing at you. The evolution of AI and corporate greed won't stop for your feelings or your cope.