#ai

https://www.fool.com/investing/2025/09/28/prediction-ibm-will-thrive-in-the-ai-bo-m/

Legal Risks That Arise From Allstate’s Corporate Culture

A Review Based on Employee Reports from TheLayoff.com

Overview of Allstate’s reputation and employee concerns

Toxic Workplace Allegations
Reports of fear-based management and favoritism

Potential legal exposure: hostile work environment claims, preferential treatment based on race

Retaliation Culture
Employees fear speaking out due to retaliation

Legal risk: whistleblower protection violations

Harassment Incidents
Allegations of s-xual harassment by senior staff

Legal risk: Title VII violations and liability for negligent supervision
Discriminatory Layoffs
Claims of targeting older or higher-paid employees

Legal risk: age discrimination under ADEA

AI-Driven Terminations
Pressure to adopt AI or face termination

Legal risk: wrongful termination and ADA violations if accommodations are ignored

Surveillance and Monitoring
Reports of excessive employee monitoring

Legal risk: invasion of privacy and potential labor law violations

Inconsistent Leadership
Frequent strategic pivots and unclear direction

Legal risk: constructive dismissal claims due to unstable work conditions

Morale and Mental Health
Culture described as demoralizing and chaotic

Legal risk: failure to provide a psychologically safe workplace

Lack of Transparency
Employees report being misled about job security

Legal risk: breach of implied contract or promissory estoppel

Unfair Performance Metrics
Unrealistic expectations and punitive evaluations

Legal risk: discrimination if metrics disproportionately affect protected groups

Agency Closures
Threats to close agencies for missing quotas

Legal risk: breach of franchise or employment agreements

Nepotism and Favoritism
Reports of promotions based on favoritism

Legal risk: discrimination and unfair labor practices

Misuse of Funds
Lavish spending on events amid layoffs

Legal risk: shareholder lawsuits for mismanagement

Slide 16: Lack of Due Process
Sudden terminations with little explanation

Legal risk: wrongful termination and lack of procedural fairness

Reskilling Deception
Employees retrained for roles that don’t exist

Legal risk: fraud or misrepresentation claims

CHRO Cost-Cutting Strategy
$4B savings plan linked to aggressive layoffs

Legal risk: class action suits for discriminatory downsizing

Cultural Breakdown
Engaged employees leaving first; apathy remains

Legal risk: systemic failure to retain talent and meet fiduciary duties

Conclusion and Recommendations
Summary of risks

Recommendations: culture audit, legal review, ethics training, and leadership accountability

Accenture job cuts are in the news once more, and this time, there are conversations on reskilling occurring parallelly as we speak. During an earnings call on Thursday, Accenture acknowledged that it is “exiting” employees who cannot be retrained for artificial intelligence skills, according to Business Insider. The Accenture layoffs have defined its AI era, with sweeping cuts that have reportedly affected about 22,099 jobs in the last two quarters. As of August 2025, the company’s headcount stands at 779,000, a steep drop from the 801,099 reported in February.

https://www.thehrdigest.com/accenture-job-cuts-clear-the-room-for-reskilling-employees-who-can-keep-up/

Amazon perhaps faces the most scrutiny. US Citizenship and Immigration Services data showed that Amazon sponsored the most H-1B visas in 2024 at 14,000, compared to other criticized firms like Microsoft and Meta, which each sponsored 5,000, The Wall Street Journal reported. Senators alleged that Amazon blamed layoffs of "tens of thousands" on the "adoption of generative AI tools," then hired more than 10,000 foreign H-1B employees in 2025.

https://arstechnica.com/tech-policy/2025/09/amazon-blamed-ai-for-layoffs-then-hired-cheap-h1-b-workers-senators-allege/

Accenture CEO Julie Sweet told analysts that the company is “exiting people on a compressed timeline where reskilling is not a viable path for the skills we need.” She further added that the company will quickly align its workforce with client demand for AI-driven solutions. This means that Accenture may will have let go off some more employees who cannot be retained at that time. https://timesofindia.indiatimes.com/technology/tech-news/accenture-fired-11000-employees-ceo-julie-sweet-warns-exit-or-/amp_articleshow/124160673.cms

If AI cannot replace FLMs and even SLMs then how is it used to detect early cancer ?

https://thefinancestory.com/oracle-fires-3000-employees-after-144bn-cloud-revenue-projection

And then this is saying that for example in Zurich it was mostly managers https://www.linkedin.com/posts/robin-wiethuchter_oracle-fired-most-of-its-managers-and-some-activity-7376369071761752064-npyv

Not sure about other teams but we were recently presented some Digital Delivery s..it that required us to update our own task lists and workload At the same time we were all asked to fill up a skills matrix that AI will use to automatically find people that could work on projects. In his naivity our managers told us that this will, in a first stage go through manual approval. What he missed was that it will require probably 10% of the current number of managers for the same job. This will also curb nepotism, we have people in our team who are favored by managers, they clearly get work above their skills to help them progress and then othe rear licking employees are asked to watch o er and to save their managers' protégé when they can't handle the work assigned to them.

https://www.youtube.com/watch?v=e-Ecodxn5m4

Major tech companies including Meta, Google, Salesforce, Amazon, and Tesla continue to announce large-scale layoffs, often attributing them to advances in artificial intelligence. At the same time, firms are quietly expanding through H-1B visa hiring and outsourcing to countries like India, where more than 1.6 million people now work in global capacity centers.

Data shows Salesforce, for example, cut nearly 4,000 employees while bringing in roughly the same number of visa workers over the past three years. Tesla faces lawsuits alleging the replacement of thousands of American workers with cheaper foreign labor. Amazon, despite claims of automation, secured more than 12,000 visas in 2025 alone.

Executives benefit from this strategy: every announcement of “AI layoffs” drives stock prices higher and boosts their compensation. Policies such as the 2017 Tax Cuts and Jobs Act further incentivize offshoring by lowering tax rates on overseas profits.

While AI is genuinely replacing some jobs—particularly in content moderation, customer service, and IT support—corporations are also using the technology as a convenient narrative to mask cost-cutting and labor exploitation. Unemployment among U.S. computer engineering graduates has tripled in a year, and many new graduates are struggling to secure entry-level roles that have been systematically reduced.

The long-term risk mirrors the manufacturing exodus to China in the 1980s and 1990s: a hollowing out of U.S. jobs while overseas economies flourish.

All I want to say is that, I hope this is being carefully managed. This and the housing bubble could burst at once... however, they keep listening to the very same people that are creating this bubble...

x x x x x x x

The AI bubble is the only thing keeping the US economy together, Deutsche Bank warns

When the bubble bursts, reality will hit far harder than anyone expects

YOU HAVE BEEN WARNED: Warnings about the overinflated prospects of a still-hypothetical "AI economy" continue to mount. Some analysts expect the AI bubble to burst sooner rather than later, arguing that current investment growth cannot continue indefinitely in a finite world.

According to a research note recently sent to clients by Deutsche Bank, the AI bo-m is currently helping the US economy avoid a recession but it cannot continue indefinitely. George Saravelos, Global Head of FX Research at Deutsche Bank, said the US would be close to a recession this year if Big Tech were not spending so heavily on building new AI data centers.

The "AI machines" are literally saving the US economy right now, Saravelos said, but this kind of growth cannot be sustained unless spending remains on an ever-growing course. Nvidia, the major supplier of powerful AI accelerators used in data centers, could potentially bear much of the residual growth the US economy has experienced in recent months.

"The bad news is that in order for the tech cycle to continue contributing to GDP growth, capital investment needs to remain parabolic. This is highly unlikely," Saravelos said.

Deutsche Bank highlights that much of this growth comes from new facilities being built by human workers, while the AI technology and services sector has yet to make a meaningful contribution to the GDP.

Around half of the market gains captured by the S&P 500 index have been driven by tech-related stocks, Deutsche Bank warns. A separate report by Torsten Sløk of Apollo Management concurs, noting that equity investors are "dramatically overexposed" to AI investments.

According to analysts at Bain & Co., even with all this spending, AI is likely to generate insufficient revenue to fund further growth initiatives. By 2030, anticipated demand for AI services would require $2 trillion in annual revenues, leaving a shortfall of $800 billion globally to meet that demand.

Nvidia recently committed $100 billion to OpenAI to build an additional 10 gigawatts of AI computing capacity, while OpenAI escalated the investment by planning a full network of new AI data centers. Meanwhile, OpenAI CEO Sam Altman has acknowledged that AI investors are behaving irrationally, and some will inevitably lose significant sums of money as a result.

Will AI capital expenditure continue to surge with staggering figures and impossibly high revenue expectations? Baidu CEO Robin Li recently predicted that 99 percent of so-called AI companies will not survive the bubble, while legitimate businesses are now squandering money and potential productivity gains in an attempt to turn everything into an AI workload.

https://www.techspot.com/news/109626-ai-bubble-only-thing-keeping-us-economy-together.html

MORE WARNINGS:

AI bo-m drives record S&P 500 valuations, but Goldman Sachs warns of $1 trillion risk ahead

Investors debate how long Big Tech's AI spree can last

https://www.techspot.com/news/109358-ai-bo-m-drives-record-sp-valuations-but-goldman.html

x x x x x x x

This current commercial running is so hilarious. It’s like Dell has anything to do with AI! Face it folks this is a hardware platform PC on antiquated Windows OS LOL😂

Here: https://youtu.be/LWO2ohVTXLA?t=1514. He talks about how Cisco loaned it's own money, and as many of the companies went bankrupt; our gear was sold on the open market. He started the discussion how an AI bubble could potentially play out.

David Einhorn warns about "AI Spending Splurge"

Hedge fund manager David Einhorn cautioned that the unprecedented amount of spending on artificial intelligence infrastructure may destroy vast amounts of capital, even if the technology itself proves transformative.

The Greenlight Capital founder said the trillion-dollar build-out by companies overall, such as Apple Inc., Meta Platforms Inc. and OpenAI is so extreme that the eventual returns are highly uncertain. While he expects AI will ultimately surpass today’s bullish forecasts, he questioned whether “spending a trillion dollars a year or 500 billion a year” will deliver good outcomes for the firms making those investments.

Video here:

https://finance.yahoo.com/news/david-einhorn-sees-tremendous-capital-230951096.html

AAPL, META, GOOGL: Investors Could Be the Losers of AI Spending Splurge, Warns Hedge Fund Guru

“When David Einhorn speaks, the markets should listen,” said Kathleen Brooks, research director at XTB. “He is the hedge fund manager who pulled the rug from underneath the subprime mortgage market bo-m in 2007/2008. His warning could be seen as a threat to the lofty valuations of Google GOOGL +0.44% ▲ , Meta and Microsoft MSFT +0.42% ▲ . They have pledged some of the largest investments in AI infrastructure and are Nvidia’s NVDA -0.24% ▼ largest customers.”

More here, plus other articles if you scroll further down:

https://www.tipranks.com/news/aapl-meta-googl-hedge-fund-guru-einhorn-warns-that-investors-could-be-the-losers-of-ai-spending-splurge

CISA said it’s aware of hundreds of Cisco firewalls in use across the federal government that are potentially susceptible to exploitation.

https://cyberscoop.com/cisa-emergency-directive-timeline-investigation/?utm_campaign=CyberScoop%20-%20Editorial&utm_content=349198981&utm_medium=social&utm_source=twitter&hss_channel=tw-720664083767435264

AI can’t do half of what it’s hyped to do. But what would the top know? If they’d been in touch with reality, we wouldn’t be in the mess we’re in today. Like every other clueless corpo, they’ve bought into the fantasy of machines replacing people. The only real outcome? Our jobs get offshored.

Senior leaders take credit for functional processes along with their minions, but in reality there are a ton of manual touches, fixes and workarounds by the working class folks who have subject matter knowledge. They keep riffing the workers before they obtain the knowledge and try to turn on AI. But AI can’t compute because the fake “functional” processes that the Execs lie about don’t really exist. They should own their kluges and get to functioning documented processes first before attempting AI but they likely already said things were working and complete to get their big bonuses. Letters and benefit configuration are two examples where they wiped the team and lost the knowledge and are still paying the price, I think accums could be another. As always business will try to blame IT for not implementing requirements they never told them about. I think it would be more appropriate to say they have RIffed people for a promise of AI or a dream of AI, but the jury is still out. Peak will be very interesting!

Exactly what @15d+1k5hc5789 said.

How much of it do you believe is real vs excuse vs intended for hype (or anything else you consider appropriate)?

ArcaneDoor continues to leverage Cisco’s strong backlog and AI capabilities..oh wait.

Anyway, see below:

These attacks on Cisco security appliances are a continuation of the ArcaneDoor campaign that Cisco announced in April 2024.

Multiple federal agencies have been hacked through this campaign, two U.S. officials tell me. One official said there's at least 10 government and private-sector victims worldwide, but that's sure to increase.

"CISA is deeply concerned about this activity," a U.S. official told me. "If agencies don’t get on this right away, it could be bad for them."

If Cisco loses those blank government checks they will not have a strong backlog and will not be able to continue to be a leader and innovator in AI. At least they’ll still be a top place to work and feature on the magic quadrant.

https://www.cybersecuritydive.com/news/cisa-emergency-directive-cisco-vulnerabilities-arcanedoor/761150/

with the hype of ai/ml, do you think they will reduce headcount there (both in Ansys and synopsys) or they will layoff revenue making R&D teams at the cost of promise of big returns from their ai/ml offerings in the future?

At the risk of sharing too much and outing myself, I feel like it’s important for employees to know that there have been internal discussions for several weeks about preparing for a full return-to-office (RTO) with a target date of 12/01.

This shift will not affect designated telecommuters. However, leadership is considering changes that could indirectly impact them, such as reducing merit increases by a percentage, withholding them entirely, or halving API targets for remote employees. These adjustments are being framed as a way to “counterbalance” the RTO mandate. Announcements are expected around the start of the new year, once PTO balances reset.

The intent behind these measures is to drive natural attrition among both remote and in-office staff, minimizing or eliminating the need for another large-scale reduction in force. Notice the timing right before the holidays.

At the same time, corporate leadership is optimistic that AI and automation can replace many roles vacated through attrition. The long-term plan includes maintaining the hiring freeze indefinitely; at a minimum, next year’s budget will not allow for backfilling positions unless they are deemed business critical.

I worry there is significant risk. From what I’ve seen, the company is years behind in AI adoption. Betting heavily on it now could backfire, potentially resulting in millions in fines and penalties by 2026–2027.

https://fortune.com/2025/09/24/sap-cfo-dominik-asam-320-billion-software-firm-ai-allow-workforce-reduction-but-if-done-wrong-could-be-business-catastrophe/

Anyone heard about this? Is it true they are looking at this and will replace roles globally?

The Oracle Database was once considered the company’s crown jewel, and working in the Database group was seen as the best place to be. That’s no longer the case. Oracle is now positioning itself as an AI company, and the Database is at risk of being sidelined. It has already lost market share and struggles to compete in certain markets against Snowflake and other more specialized competitors. Unfortunately, this trend seems likely to continue.

Got the 'Engineering with AI Program' company email... talk about out of touch. Most engineers in our BU have been smashed on the head, over and over, about use AI for this or use AI for that... and now we're being told that we need hands on training sessions? Talk about a tone deaf company.

Ford CEO Jim Farley is issuing a wake-up call to America: the country’s economic strength depends not just on the innovation hotspots of Silicon Valley, but on the everyday industries that get things “moved, built, or fixed.” In a series of recent commentaries and interviews, Farley has been highlighting the mounting crisis in the “essential economy”—sectors like manufacturing, skilled trades, and infrastructure—and outlines how automation and artificial intelligence threaten to upend the white-collar workforce while blue-collar fields face unprecedented shortages. In late August, he authored an op-ed for Yahoo Finance outlining ways to close the essential economy’s productivity gap.

Farley’s warning is twofold: as artificial intelligence rapidly advances, up to half of all white-collar jobs in the United States could disappear within the next decade. He’s echoing warnings from other business leaders, like Amazon CEO Andy Jassy and Anthropic CEO Dario Amodei, who forecast major reductions in corporate and entry-level jobs as AI systems increasingly handle coding, legal, and administrative tasks. Farley points out that many entry pathways for young professionals—such as junior programming and clerical positions—are at high risk as AI tools become more capable, potentially raising unemployment rates to historic highs.

“There’s more than one way to the American Dream, but our whole education system is focused on four-year [college] education,” Farley said during the Aspen Ideas Festival this summer. “Hiring an entry worker at a tech company has fallen 50% since 2019. Is that really where we want all of our kids to go? Artificial intelligence is gonna replace literally half of all white-collar workers in the U.S.”

The skilled trades gap

Contrast this with blue-collar and skilled trade sectors, where demand is booming but the labor supply is shrinking. Farley estimates the U.S. is already short around 600,000 factory workers and nearly half a million construction workers, with shortages projected to worsen as infrastructure and manufacturing investments grow. Despite a surge in U.S. manufacturing jobs—up nearly 3.8 million by 2033, according to Deloitte—the nation’s vocational education and apprenticeship programs remain outdated and underfunded.

Farley laments that America’s focus on four-year college degrees comes at the expense of trade careers—even though these jobs are now among the most secure and essential in a changing economy. He compares the U.S. unfavorably with countries like Germany, where apprenticeships and early skills training are the norm and help sustain a stable, highly trained workforce.

Ford’s response and Farley’s playbook

Faced with worker burnout and wage dissatisfaction, Farley—taking a lesson from Henry Ford’s historic wage-doubling move in 1914—pushed to convert temporary employees to full-time status faster, unlocking higher pay and benefits. This decision was both costly and controversial, but Farley insists it’s the only way to make industrial jobs attractive and financially viable for today’s youth. The move reflects broader disputes in the industry, including last year’s UAW strike, which highlighted deep worker resentment over slow wage growth and job insecurity.

While AI may decimate many office-based roles, Farley sees hope in the essential economy. He urges young Americans and policymakers to recognize skilled trades as a viable—and necessary—pathway to the American Dream. “We need a new mindset, one that recognizes the success and importance of this essential economy,” Farley recently told an audience.

He’s advocating for a national strategy: greater investment in vocational education, apprenticeship pipelines, and pro-trade policies to close the looming skills gap and secure the nation’s economic foundations. Only by revamping priorities across government, industry, and education, Farley argues, can the U.S. both cushion the blow of AI’s advance and restore vibrancy to the sectors that keep daily life running.

For this story, Fortune used generative AI to help with an initial draft. An editor verified the accuracy of the information before publishing.

This story was originally featured on Fortune.com

Is it against the code of conduct for an employee to input Truist proprietary information into an AI platform like ChatGPT? To my knowledge, the only AI tool currently authorized at Truist is CoPilot, and it’s being tested by a limited group of employees. A colleague of mine consistently distributes detailed meeting notes within five minutes of discussion, which strongly suggests AI assistance. Since this colleague works remotely, it’s likely they use a personal computer to access ChatGPT and then send the notes to their Truist email. I suspect this could breach the code of conduct, but I’d appreciate any insights or clarifications from others.

I’m seeing many resignations on LinkedIn following the selections.

I’m seeing teams recruiting externally for data scientists after layoffs.

I’m hearing of unqualified people, with no background in data science, being given positions, whilst others are let go.

I’m hearing that AI has been moved under CNE?!

WTAF?

Check out this article where CFO said Illumina India will hire Bioinformatics and AI jobs in India!
https://www-moneycontrol-com.cdn.ampproject.org/c/s/www.moneycontrol.com/news/india/genomics-major-llumina-bets-on-india-to-power-affordable-innovation-amid-global-headwinds-13542445.html/amp

https://www.businessinsider.com/sap-cfo-ai-make-more-software-fewer-people-2025-9

https://futurism.com/microsoft-ceo-concerned-ai-destroy-company

“As an application company, we knew we had to start generating our applications. We just couldn't do it with armies of people anymore. We still need people, don't get me wrong, but the number of people we need is substantially less. We can build/generate much better applications than we can hand-build. We've been working on these AI application generators for some time, and we're actually using them. The thing is, we're not just building application generators. We're building application generators, and then we're building the applications, which gives us insights to make the application generator better.”

Conlusuin:,Most laid offs employees have been replaced by AI

Chipmaker Nvidia plans to invest up to $100 billion in artificial intelligence startup OpenAI under a new agreement today. On the other hand, last week Nvidia is going to invest $5B in Intel. That's a 20:1 ratio... just shows you how much Intel is worth. Not much.

• Vision Fund shifts focus to support AI ambitions of founder Masayoshi Son
• Son's strategy returns to high-risk, high-reward investments
• SoftBank's AI bets include $9.7 billion in OpenAI

https://www.reuters.com/business/world-at-work/softbank-vision-fund-lay-off-20-employees-shift-bold-ai-bets-source-memo-say-2025-09-18/

https://www.reworked.co/information-management/why-opentext-fired-its-ceo-after-13-years-the-end-of-the-shopping-spree/

Another industry professional was more blunt: "My personal opinion is that they only make enough investment to justify their maintenance costs to their legacy customers."

• Driving
  Self-driving becomes ubiquitous. 12 million drivers unemployed. Uber/Lyft/trucking dead.
  When: 2028-2030

• Doctors
  AI diagnoses better, prescribes perfectly, never forgets symptoms. MDs become liability managers.
  When: 2027-2032

• Surgeons
  Robotic surgery with zero tremor, perfect precision. Human surgeons watch screens.
  When: 2029-2034

• Soldiers
  AI-controlled drones and robots fight wars. Humans become collateral damage, not combatants.
  When: 2030-2035

• Coders
  AI writes, tests, deploys, maintains all code. "Programmers" become prompt engineers, then nothing.
  When: 2026-2029

• Teachers
  Personalized AI tutors for every student. Classrooms obsolete. Education becomes purely digital.
  When: 2027-2030

• Lawyers
  AI reads all case law instantly, writes perfect contracts, argues better. Courts run by algorithms.
  When: 2028-2033

• Artists
  AI generates any image, song, movie on demand. Human creativity becomes niche luxury.
  When: 2028-2032

• Factory Workers
  Total automation. Lights-out manufacturing. Humans can't even enter production floors.
  When: 2029-2033

• Military
  Autonomous drones, robot soldiers, AI command systems. Human generals obsolete. Wars fought by machines.
  When: 2030-2035

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.

Funny thing about this place, the better you get at your job, the more skillfully a guy applies himself, the faster you’re working yourself out of one. Efficiency isn’t rewarded here it’s punished. Automate too much, improve too much, use AI tools to work less hours and they’ll thank you with a pink slip.
Any company that counts how many days you sit in the office or how long your mouse wiggles isn’t looking for smart people, it’s looking for obedient ones. If you’re content to coast like a DMV clerk, you’ll fit right in. But if you’ve got a brain in your head, get out and put it to work somewhere that actually makes the world better. This place treats intelligence as if were a crime against mediocrity.

This is a death blow to the Intel GPU+AI efforts and should not be allowed by the regulators. It is clear that Intel needs the downstream, low-cost GPU market segment to have a portfolio of AI chips based on chiplets, where most defective ones end up in the consumer grade GPUs based on manufacturing yield. NVidias interest is now for Intel not to enter either the GPU market, nor the AI market - which Intel was preparing for with its GPU efforts in recent years.

Layoffs to stand following $1.1B AI acquisition

Activist investors have taken a $2 billion stake in Workday, signaling approval of its direction and saying they "look forward to continued collaboration with the company."

https://www.theregister.com/2025/09/18/workday_elliott_investment/