#ai

AI not reliable yet. TCS losing business to GCCs hence layoff -to keep profits high.
Tata group as whole lost its way about a devade ago. Tata Steel high cost steel in country. Tata motots - high cost vehicle. Tata teleocm failure, Tata Retail business - not doin well

to reduce pay levels & boost profits all firms using AI scare mongering. Long way to go before is reliable

https://youtu.be/zcwqTkbaZ0o?si=9QKhLFHVKEhzAWqg

Sure, Cisco is integral to the future of AI.

Just look at how much this example AI datacenter relies on Cisco gear.

The writing is on the wall. Nothing!

We Are Cisco.
We Are Nortel; Part 2.

https://www.youtube.com/watch?v=mJzETvTMUx8

And they say "if expectation of AI become less optimistic". Less optimistic? What happens when all their lies are completely exposed? Sam Altman makes Elon Musk look like a truth teller.

News flash! If your primary job is to review someone else’s work, it’s time to look for another job. AI can do your job thousand times better.

Carnegie Mellon University announced Wednesday it is laying off 75 software engineering staff members due to changes in federal priorities.

The 75 positions make up about 10% of the Software Engineering Institute’s staff.

SEI is a federally funded research center focusing on artificial intelligence and cybersecurity. It has worked with the U.S. Department of Defense since 1984, according to its website.

https://www.wesa.fm/education/2025-10-08/carnegie-mellon-lays-off-75-from-software-engineering-institute

People Inc, formerly Dotdash Meredith, will cut 226 jobs, about 6 percent of staff, announced Thursday, Oct. 9. The cuts span all parts of the business and are framed as a strategic move to free money for growth, including the recent Feedfeed acquisition and investments in creator partnerships.

The company will continue to invest in its contextual ad targeting tech D/Cipher plus. People says search referrals are down due to zero click AI products, but off platform views are up, and an OpenAI licensing deal lifted Q2 licensing revenue by 23 percent year over year. Leadership says they embrace AI for optimization but AI will not create their content.

Acrisure is right now cutting 400+ accounting jobs. Good jobs, well paid (relatively) - this is all gone - last day will be in Q1 2026... they are saying it's AI, workflows, tech advancements, etc... it's about 2% of the totalk workforce but I think it'll be more than this. They are just starting and it'll get worse.

I also think it'll get even worse.

These are dark times.

Barron's:

• Genius or Cliff Dive (Larry Ellison’s $300 billion dollar AI Power Play)

Oracle is riding the AI wave like a rocket, with the stock up 373% in 3 years, a reported $300 billion dollar OpenAI contract, and a backlog exploding to $455 billion dollars.

Larry Ellison, 81 and still in attack mode, is turning Oracle into the supplier of choice for AI builders, not a rival. The playbook is simple: data plus compute equals destiny. The company is loading up on capacity and customers, while Ellison pursues strategic side quests that protect the core, from the TikTok USA bid to deep ties with Skydance and Paramount.

The bill is massive. Oracle is taking on more than 90B dollars in long-term debt, sold 18B dollars in bonds in September, and could see gross margins fall from about 72 percent to about 52 percent by 2029 even as revenue soars.

If OpenAI and a few whales deliver, Ellison’s biggest bet becomes his legacy, with scale lifting profits over time. If contracts wobble or capex drags, customer concentration plus leverage becomes the plot twist. Translation: Oracle is trading margin now for AI dominance later, and Wall Street is watching.

Source:

https://www.barrons.com/articles/larry-ellison-oracle-56e03912

Barron's:
Genius or Cliff Dive (Larry Ellison’s $300 billion dollar AI Power Play)

Oracle is riding the AI wave like a rocket, with the stock up 373% in 3 years, a reported $300B dollar OpenAI contract, and a backlog exploding to 455B dollars.

Larry Ellison, 81 and still in attack mode, is turning Oracle into the supplier of choice for AI builders, not a rival. The playbook is simple: data plus compute equals destiny. The company is loading up on capacity and customers, while Ellison pursues strategic side quests that protect the core, from the TikTok USA bid to deep ties with Skydance and Paramount.

The bill is massive. Oracle is taking on more than 90B dollars in long-term debt, sold 18B dollars in bonds in September, and could see gross margins fall from about 72 percent to about 52 percent by 2029 even as revenue soars.

If OpenAI and a few whales deliver, Ellison’s biggest bet becomes his legacy, with scale lifting profits over time. If contracts wobble or capex drags, customer concentration plus leverage becomes the plot twist. Translation: Oracle is trading margin now for AI dominance later, and Wall Street is watching.

Source:

https://www.barrons.com/articles/larry-ellison-oracle-56e03912

Acrisure, a global insurance brokerage, financial services and technology company based in Grand Rapids, plans to cut 400 accounting positions in the first quarter of 2026, the company announced Wednesday.

Roughly half the positions set to be eliminated are based in West Michigan, with the rest stretching across Acrisure’s global footprint.

https://www.mlive.com/news/grand-rapids/2025/10/major-grand-rapids-company-laying-off-400-people-due-to-ai-200-in-west-michigan.html

I know one person was let go. That person told me entire team of three people were let go.
Spending on AI so Visa has to save money somewhere.

I look after the Gartner contracts for a large multinational. Am curious as to internal position on AI, with deep research now I can often get better insight from a broader fact base faster and more tailored to what I need. What is the internal talk about using this for better research? Forrester has with their Izola. Also what’s the deal with sales teams, they seem super desperate at the moment, nearly threatening with things like price increase if you don’t renew early, or sign up to this or that, real hard sell, justify to me how you could possibly survive without Gartner etc. is that just my account?

Accenture has reduced its workforce by more than 11,000 employees in the past quarter, spending over $2 billion on severance in recent years as the company undertakes a major restructuring driven by automation and changing industry demands.

https://www.msn.com/en-in/money/topstories/accenture-has-laid-off-over-11000-employees-it-has-spent-over-2-billion-in-severance-cost/ar-AA1NZs2v?ocid=finance-verthp-feeds

https://www.indiatoday.in/technology/news/story/accenture-layoffs-11000-jobs-cut-2-billion-severance-ai-shift-2798987-2025-10-07

Accenture layoffs: How much did IT consulting firm spend to reduce its workforce?

In fiscal 2024 and 2023, Accenture recorded business optimisation costs of $438 million and $1,063 million, respectively, primarily for employee severance, according to the company's annual report.

https://www.livemint.com/companies/news/it-layoffs-how-much-did-accenture-spend-to-reduce-its-workforce-11759850757340.html

https://nypost.com/2025/10/07/business/jamie-dimon-says-jpmorgan-spends-2b-a-year-on-ai-and-breaks-even-with-savings/

Due to our autistic upper and middle management, that means we're probably at least 5 years out before we see any material benefit. I don't know how much we're spending on AI, but I guarantee it's just bleeding $. Dimon is a piece of work, but you can't deny JPM's success under his leadership either.

Apparently CS was Dimon's protege, which may have actually been one of his biggest mistakes, seeing how woefully bad CS is in comparison. The only thing CS has managed to "transform" in 6+ years is a massive culling of American jobs and an extremely disgruntled workforce. $30mm / year clown.

https://www.msn.com/en-us/technology/artificial-intelligence/bernie-sanders-warns-ai-could-eliminate-more-than-100m-jobs/ar-AA1NX64D

• Title: SAP restructures Palo Alto office, cuts 82 roles - Silicon Valley Business Journal
  • Description: SAP is laying off 82 employees at its Palo Alto office as part of a global restructuring. The company is reallocating resources towards new technologies like AI and cloud computing. This layoff is part of a plan to continuously optimize its workforce, affecting 1% to 2% of employees worldwide.
  • Source: Silicon Valley Business Journal
  • URL: https://www.bizjournals.com/sanjose/news/2025/10/07/sap-layoff-palo-alto.html

• Title: SAP America lays off dozens at Palo Alto research center
  • Description: SAP America, the U.S. branch of the German software company, is permanently cutting 82 jobs at its research facility in Palo Alto. This was officially reported in a state-required Worker Adjustment and Retraining Notification (WARN) filing. The layoffs will take effect on November 21.
  • Source: KRON4
  • URL: https://www.kron4.com/news/technology-ai/sap-america-lays-off-dozens-at-palo-alto-research-center/

• Title: SAP cuts dozens of Bay Area jobs as part of new layoff strategy
  • Description: SAP is laying off 82 employees in Palo Alto as part of a broader, multiyear restructuring effort. The company is shifting away from large-scale reductions in favor of a "continuous optimization" strategy, which involves smaller, annual job cuts. This approach is likened by a CFO to "brushing your teeth," and is intended to streamline operations and focus on emerging technologies.
  • Source: San Francisco Chronicle (hosted on MSN.com)
  • URL: https://www.msn.com/en-us/money/human-resources/sap-cuts-dozens-of-bay-area-jobs-as-part-of-new-layoff-strategy/ar-AA1O2vhJ?ocid=BingNewsVerp

• Title: SAP America lays off dozens at Palo Alto research center
  • Description: An international software and IT company, SAP, is reducing its workforce at its Bay Area facility. Eighty-two workers at the Palo Alto research lab will be permanently laid off. This is a strategic move to focus on new areas, including AI and cloud computing, which are key to the company's future.
  • Source: KRON4
  • URL: https://www.kron4.com/news/technology-ai/sap-america-lays-off-dozens-at-palo-alto-research-center/

• Title: Tech companies plan hundreds of Bay Area job cuts in fresh layoffs
  • Description: Several tech companies are planning hundreds of job cuts across the Bay Area, adding to the region's employment uncertainty. The article mentions the SAP layoffs and other reductions at companies like Google. These cuts are attributed to various factors including tariff issues, China's economic woes, and high business costs in California.
  • Source: The Mercury News
  • URL: https://www.mercurynews.com/2025/10/08/economy-jobs-tech-bay-area-google-layoff-work-chips-oracle-web-internet/

• Title: SAP cuts dozens of Bay Area jobs as part of new layoff strategy
  • Description: SAP has laid off 82 employees in Palo Alto as part of a global strategic shift. The company is moving toward a model of consistent, smaller annual workforce reductions to keep pace with industry changes driven by AI and cloud technology. This new approach has drawn criticism from employee representatives, who worry about its long-term impact.
  • Source: San Francisco Chronicle
  • URL: https://www.sfchronicle.com/tech/article/sap-layoffs-palo-alto-21089194.php

A reminder for those waiting for the next CES. Your feedback is being collected in realtime. Employees sentiment is monitored by Aware, an AI service that monitors internal dialogue.
If you were wondering why the CES seems diluted, it is because they already have the data they need

https://www.cnbc.com/amp/2024/02/09/ai-might-be-reading-your-slack-teams-messages-using-tech-from-aware.html

What is the final target LBT has in mind for intel? Definitely 75K is too much if we implement AI throughout.

Better buckle up.

https://youtu.be/1cp09eLVE20

No chance a competent CFO would sign off on these new projections.

They assume the absolute best case market scenarios with no room for error or a down turn in AI spending.

They're also entirely unneeded ad the company continues to meet or exceed market expectations.

Jeff is doing all he can to hit that $200 mark. Seems the rumors were true about him being out if he doesn't make it.

Got a very angry provider call stating they got an approval letter for a member with wrong information, like Dx Code, several kids spellings and wrong service dates. Asked manager who confirmed they started to send out AI letters upon approval.

News flash! If your primary job is to review someone else’s work, it’s time to look for another job. AI can do your job thousand times better.

What proof is there that these statements are true. Are we seeing massive orders in Salesforce?

Dell stock popped after the company raised its long-term revenue and profit growth forecasts.

The computer maker said it now expects annual revenue to grow between 7% and 9%, up from its prior forecast of 3% to 4%.

Dell pointed to robust demand for artificial intelligence infrastructure.

https://www.youtube.com/watch?v=VEA7vQKJ8aQ

Fortune
‘Our chapters will work for any enterprise’: Honeywell’s AI chiefs share the strategies that helped the firm mature its AI efforts

“Every function and every strategic business unit is now using gen AI,” Sheila Jordan, the company’s chief digital technology officer, told Fortune. · Fortune · Illustration by Simon Landrein
Sage Lazzaro
Tue, October 7, 2025 at 4:45 AM EDT 5 min read

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At technology and manufacturing company Honeywell, generative AI is everywhere.

“Every function and every strategic business unit is now using gen AI,” Sheila Jordan, the company’s chief digital technology officer, who oversees AI integration internally within the organization, told Fortune. “And the other thing I’m super proud of is that we have it available to all 100,000 employees,”

The company built its own “Honeywell GPT,” which helps employees draft and edit emails, summarize technical documents, translate content, and brainstorm ideas. Employees also use Red, a virtual assistant that serves as a central resource for accessing company information around IT, finance, HR, and the firm’s policy library. Engineers are coding with AI, and the company is reimagining its varied products and services with new generative AI–powered offerings. Overall, the company has 24 generative AI initiatives in production and 12 more on the way, compared with 16 a year ago.

As companies across different business sectors incorporate AI into their operations, an emerging set of best practices reveals a variety of approaches, from decentralized, experimentation-driven cultures to tightly choreographed strategies that can scale across an organization. Honeywell, which ranked at No. 17 in the Fortune AIQ 50 list of Fortune 500 companies with the most “mature” AI capabilities, is a case study in how to excel by taking the latter approach.

Jordan and CTO Suresh Venkatarayalu, who oversees AI product efforts, believe the company’s success in maturing its AI capabilities directly stems from its “six-chapter AI framework.” Along with the organization’s top-down approach to AI, adhering to the framework has allowed them to focus on efforts with immediate impact in order to kick off the flywheel effect.

“What are the use cases? And can I measure and track them?” said Venkatarayalu, describing how the company zeroes in on impact. “In fact, tomorrow we have a meeting with Sheila and the CFO looking at the 2026 road map and to ask me the real question: ‘Could we track it to the P&L?’ And we should track it to the P&L. That’s the way it’s set up.”

The six-point strategy

In the fast-moving world of AI, it can be difficult to prioritize, stay on track, and resist trying to do everything at once. That’s why Honeywell’s leadership created a six-chapter framework in early 2024 to guide the organization’s AI efforts and keep it focused strictly on use cases it believes will truly move the needle.

“We could get distracted by the long, long, long tail and all the noise and all the things people might want to do, but we have a whole program to prioritize those things that are going to move the needle in business value, both on productivity and growth and innovation,” said Jordan, adding that the organization “would have been confused and lost” without the framework and clarity from her and Venkatarayalu about which generative AI capabilities were fit for implementation.

The first chapter of the framework is about the tools—such as Red and Honeywell GPT—designed to assist employees in their everyday workflows. Then there’s chapter two, focused on the use of generative AI for engineering. Chapter three is how the firm “thinks about cognitive automation,” Jordan said, specifically how it’s using different LLMs (large language models) from Azure, Google, AWS, and others for specific use cases. Next, chapter four is all about generative AI in the commercial applications they purchase and use, like Salesforce and other platforms. Chapter five centers on the company’s own products and services. And lastly, chapter six focuses on sales effectiveness.

“I think our chapters will work for any enterprise,” said Venkatarayalu. “It’s productivity, it’s growth, and it’s margins.”

Chasing the flywheel effect

Jordan said the fact that the technology can be applied to so many use cases is one of the biggest challenges to overcome, so it helps to start with ones that have the biggest immediate impact. That way, those early successes can drive the effort forward.

For example, she said early work with GitHub and Copilot were the “first movers” and delivered the value they thought it would, which started the AI efforts off on a strong note.

“If it works, the flywheel takes off. If it doesn’t work, it dies its death, right? So I wanted the flywheel effect where we could do something and show the organization the value of gen AI,” she said.

This means going in with a business case and value proposition in mind, but being open to value coming through in a different way than assumed, she said.

“We could say [the value] was going to be productivity, but in reality, it was a sales effectiveness play. We got a higher conversion from something. So I would just say to stay super open to the business benefits, because they can morph based upon your customer and partner interactions,” Jordan added.

The top-down approach

Another key element to keeping the organization on target and adhering to its AI framework is its top-down approach.

The company has 65 business units, and Venkatarayalu pointed to how other companies start with a lot of proof of concepts, letting business units pursue their own strategies and democratizing the AI efforts. But not Honeywell, which he said is “predominantly top-down-driven” when it comes to AI.

“I think this company looks at use cases first, value second,” he said. “And once we believe—along with our CEO and chairman and the business unit leaders—[that a use case will deliver value], we drive that. I think that’s a very different [mindset] than many of my peers.”

This story was originally featured on Fortune.com

Was his message: We did a few layoffs to invest in ai, but it was not performance based AND our focus for the next 6 months is to integrate AI in all our code so that they can more easily get rid of us?

Well it is that time of year and month etc with IBM Q3 earnings up 10/22. Stock hits all time high and then.....drop 15-25 points after 10/22?

https://www.investors.com/news/technology/ibm-stock-breakout-anthropic-ai-partnership/

Tech Mahindra cut 10,669 positions for “portfolio rebalancing.” Oracle India reduced over 100 roles in September 2025 to support its “AI-driven product strategy.” HCLTech shed 8,080 employees largely due to divestitures and realignments. Accenture’s global cuts of 11,000 roles included a significant impact on India, aimed at “reinvesting in AI and digital transformation.”

Cognizant eliminated 3,500 positions globally to “simplify organisation and improve delivery speed.” IBM India dropped around 1,000 roles during its pivot to hybrid cloud and AI, while Capgemini India cut 800 jobs to align with “evolving client demand.”

Deloitte to refund government, admits using Al in $440k report
Edmund Tadros and Paul Karp
Oct 5, 2025 - 7.41pm

Deloitte Australia will issue a partial refund to the federal government after admitting that artificial intelligence had been used in the creation of a $440,000 report littered with errors including three nonexistent academic references and a made-up quote from a Federal Court judgement….

A new version of the report for the Department of Workplace Relations (DEWR) was quietly uploaded to the department's website on Friday…

Deloitte to refund government, admits using Al in $440k report
Edmund Tadros and Paul Karp
Oct 5, 2025 - 7.41pm

Deloitte Australia will issue a partial refund to the federal government after admitting that artificial intelligence had been used in the creation of a $440,000 report littered with errors including three nonexistent academic references and a made-up quote from a Federal Court judgement….

A new version of the report for the Department of Workplace Relations (DEWR) was quietly uploaded to the department's website on Friday…

SANTA CLARA, Calif., Oct. 06, 2025 (GLOBE NEWSWIRE) -- AMD (NASDAQ: AMD) and OpenAI today announced a 6 gigawatt agreement to power OpenAI’s next-generation AI infrastructure across multiple generations of AMD Instinct GPUs. The first 1 gigawatt deployment of AMD Instinct MI450 GPUs is set to begin in the second half of 2026.

AMD’s strong leadership in high-performance computing systems and OpenAI's pioneering research and advancements in generative AI places the two companies at the forefront of this important and pivotal time for AI.

Under this definitive agreement, OpenAI will work with AMD as a core strategic compute partner to drive large-scale deployments of AMD technology starting with the AMD Instinct MI450 series and rack-scale AI solutions and extending to future generations. By sharing technical expertise to optimize their product roadmaps, AMD and OpenAI are deepening their multi-generational hardware and software collaboration that began with the MI300X and continued with the MI350X series. This partnership creates a true win-win for both companies, enabling very large-scale AI deployments and advancing the entire ecosystem.

https://www.bbc.com/news/articles/c07vdx9e1ygo

Honeywell and Boeing are sued by Victims of AI 171 Crash. Why no formal word from Honeywell. What they are hiding along with Boeing.

This is a legitimate question. I think I know the answer, but I want to see if there’s anything I’m unaware of before making the obvious conclusion.

Layoffs in Europe I get. We probably won’t own any assets there for much longer anyways, and I’ll be surprised if the continent hasn’t regulated every bit of heavy industry out of business by 2030.

Singapore I get. It’s been a money pit. High cost energy plus the cost of importing all feeds and exporting all products does not make for good performance in a commodity sector.

I feel for all of my colleagues in these locations. It’s not your fault this is happening, but I can understand why the company would do this.

But why Canada?

A quick discussion with ChatGPT shows me Imperial made between $4.5-7.3 billion yearly since 2022. Yes, refining margins were pretty good over that period, but I don’t see anything in the top line numbers to suggest our Canadian business is in dire straits. So why are we laying off 20% of the company?

I don’t know what functions sit in Calgary. Tax? Engineering? The inescapable conclusion is we hit a critical mass of people at KLTC and BTC that we thought could do their jobs and decided to rip the bandaid off.

Assuming that’s true, why wouldn’t I expect the EXACT SAME thing to happen to the US in a couple years? Aside, of course, from our CEO telling us the US is off limits (lmao).

So in the spirit of this website that focus on company layoffs I wanted to run what I done to my fellow loyal, dedicated, hardworking L3Harriss co-workers.

I'll try an be brief an get to the point. After attending multiple sessions of L3Harriss A.I. event week a light bulb instantly went off in my head. I said umm since I have extensive continuous improvement experience why don't I submitt this great cost savings ideal via L3Harris e3 program. So I did just that. What did I do you ask? Well I basically submitted a cost savings project where I projected the company can save easily 25 million or more a year and not skip a beat. Basically I submitted a cost savings project that replaces from the CEO of L3Harris all the way down to lower and middle level mangers. This also include all of H.R. department, EHS, Finance, and especially the absolute most worthless position ever created the dam program management department. I said in a few sentences that after attending the A.I. event and some of my own personal use of A.I. software well this technology is now ready to replace all of the forementioned positions/management/departments! They are all manily indirect charging and absolutely bring no tangible value into design, engineer, manufacturing and or testing of hardware/products. Therefore all of these positions can be replaced with? YOU GUESSED RIGHT A.I. BABY!
Now if you still reading let me explain. Without exposing to much about me I am an experienced degreed engineer with multiple years under my belt. I have set up private machine shops with different types of cnc machines and other supporting processing type equipment to be fully automated where only one experienced person can operate everything remote with very minimal human interaction. No HR, management, program management etc is on site or is even needed. Now yes these are smaller facilities and more dealing with high volume production components but this can apply to other manufacturing scenarios to a certain degree.

So to end my rant the point I am making is us real workers who brings true value to the company should say hey upper management please explain to us what justification can you provide to justify your salary because A.I. can easily do your job for the cost of a software engineer who can create an A.I. agent that can literally replace you. If this was a good ideal or stupid comment below as I value your opinion.

The time will come, and judging by how things look very soon, when chasing cheap, unskilled labor will backfire. There’s only so much core knowledge and experience a company can drain before everything collapses. Sooner or later, corporations will have to relearn the value of skilled labor - years of specialization, hard-earned expertise, and creativity born from experience. AI isn’t replacing anyone, and this obsession with cheap, easily replaceable workers will only lead to ruin. We’re already starting to see it happen.

Investors have parted with unprecedented sums of money to help AI fulfil its lofty promise. But no one really knows how it will all pay off.

https://finance.yahoo.com/news/why-fears-trillion-dollar-ai-130008034.html