#ai

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/

The recent collaboration between Nvidia and Intel is a complex strategic maneuver with significant implications for Intel's ambitions in AI and GPUs. It can be seen as both a smart move to leverage its core strength (x86) and a potential risk to its own competing product lines.
Here's a breakdown of the key considerations:
A Sign of x86 Expansion and Reinforcement

• Playing to its Strengths: The partnership allows Intel to lean into its most dominant position: the x86 CPU and its vast ecosystem. By building custom x86 CPUs for Nvidia's data center platforms, Intel is solidifying its role as the "head node" for AI workloads. Even in a GPU-accelerated world, a CPU is still required to manage the system and run the operating system, and Intel's x86 processors are the default choice in most data centers.
• IDM 2.0 and Foundry Services: This deal is a major win for Intel's IDM 2.0 strategy, which aims to make Intel a leading foundry for other companies. Manufacturing custom x86 chips for Nvidia, a major customer and the market leader in AI, is a massive vote of confidence in Intel's manufacturing capabilities.
• Expanding Market Reach: The collaboration on consumer-level "x86 RTX SoCs" with integrated Nvidia GPU chiplets allows Intel to offer a more compelling product in the growing AI PC market. This could help Intel regain some of the market share lost to AMD in gaming and high-performance laptops. It's a way to integrate a world-class GPU into its x86 platform without having to design one from scratch for every product line.
  A Risk to Intel's AI Accelerator and GPU Ambitions
• Competitive Headwind for Gaudi: The collaboration poses a direct, existential risk to Intel's Gaudi AI accelerator line. If Nvidia is using custom Intel CPUs for its AI platforms, it suggests that Nvidia believes the optimal solution involves pairing its GPUs with a customized x86 CPU, not with a competing AI accelerator like Gaudi. While Intel's Gaudi has shown strong performance and price-to-performance metrics, it has a tiny market share compared to Nvidia's overwhelming dominance. This partnership could signal that Intel is prioritizing its foundry business and its core x86 platform over the uphill battle of competing directly with Nvidia's GPUs.
• Potential for Cannibalization: The "x86 RTX SoC" product for PCs could cannibalize demand for Intel's own discrete Arc GPUs. While Intel is still developing Arc, the deal gives them a compelling alternative to offer PC manufacturers and consumers who want a powerful, integrated solution with a market-leading GPU. This could reduce the incentive for Intel to continue investing heavily in its own consumer-level GPU designs.
• Shifting Focus: While Intel has consistently stated its commitment to both Gaudi and Arc, a deep partnership with the market leader in both of those areas could lead to a strategic shift. Intel may decide that its primary role in the AI ecosystem is to be the foundational CPU provider and a leading foundry, rather than a direct competitor to Nvidia in every market segment.
  In conclusion, the partnership is a double-edged sword. It's a pragmatic and low-risk move that leverages Intel's core strengths, reinforces its IDM 2.0 strategy, and gives it access to the most powerful AI ecosystem. However, it also creates a direct and formidable competitor to its own in-house AI and GPU products, potentially signaling a de-emphasis on those ventures in favor of a more strategic, and perhaps more profitable, partnership with the market leader.

Five months later, Duolingo hasn’t laid off a single full-time employee, and is instead using artificial intelligence to bolster the productivity of the humans it does employ, co-founder and CEO Luis von Ahn said at the Fast Company Innovation Festival 2025 on Tuesday.

https://www.cnbc.com/2025/09/17/duolingo-ceo-how-ai-makes-my-employees-more-productive-without-layoffs.html

The key differences between Nvidia's recent collaboration with Intel and the Itanium partnership between Intel and HP lie in the nature of the partnership, the strategic goals, and the market context.
Itanium (Intel & HP)

• Aimed at a New Architecture: The Itanium project was a joint effort to create a brand-new, 64-bit instruction set architecture (ISA) called IA-64. This was a direct attempt to challenge and replace the dominant x86 architecture, particularly in the high-end server and enterprise market. It was a massive, ground-up undertaking to redefine a computing standard.
• Focus on a Single Product Line: The partnership was centered on the Itanium processor family, with the goal of creating a "unified computing infrastructure." HP, which had been developing its own PA-RISC processors, partnered with Intel because the cost of proprietary chip development was becoming prohibitive.
• High-Risk, High-Reward: The project was a huge gamble for both companies. It required significant financial investment (billions of dollars) and a long development timeline. The success of Itanium depended on its widespread adoption, which would require software developers to port their applications to the new architecture.
• Ultimately a Failure: The Itanium project is widely considered a failure. It was plagued by delays, performance issues, and a lack of software support. In the meantime, the x86 architecture, particularly with the introduction of AMD's 64-bit extensions (x86-64), evolved to meet the needs of the server market. This led to Itanium becoming a niche product used almost exclusively by HP (and later, HPE) for its high-end servers.
  Nvidia & Intel
• A Partnership of Complements, Not Replacements: The Nvidia and Intel collaboration is not about creating a new, competing architecture. Instead, it's about integrating the strengths of their existing platforms. Intel's expertise is in CPUs and the x86 ecosystem, while Nvidia's is in AI and accelerated computing with its GPUs.
• Focus on Integration and Ecosystems: The partnership aims to create new products by combining their technologies. This includes Intel building custom x86 CPUs for Nvidia's AI infrastructure and Intel creating system-on-chips (SoCs) that integrate Nvidia's RTX GPUs for personal computers.
• Strategic and Commercial: The deal is a commercial partnership with clear business goals for both sides. For Intel, it secures a major customer for its foundry services and helps it compete more effectively in the AI market, where Nvidia has a dominant lead. For Nvidia, it gives them access to Intel's CPU and x86 ecosystem, and a potentially more secure and diversified supply chain.
• Lower Risk, High Potential: This collaboration is less of a "bet the company" move than Itanium was. It leverages existing, successful architectures and technologies. The risk is lower because they are not trying to create a new market from scratch; they are trying to gain a greater share of existing markets by offering compelling, integrated products. The investment from Nvidia in Intel stock further solidifies the financial alignment of the two companies.
  In summary, the Itanium partnership was a bold, but ultimately unsuccessful, attempt to create a fundamentally new computing standard to displace x86. The Nvidia-Intel collaboration, in contrast, is a more pragmatic and strategic alliance to combine the strengths of two industry leaders, leveraging their established technologies and ecosystems to compete more effectively in the evolving data center and PC markets.

https://www.reuters.com/world/asia-pacific/nvidia-bets-big-intel-with-5-billion-stake-chip-partnership-2025-09-18/

• Nvidia stake follows big investment from US government
• Nvidia's $5 bln investment makes it one of Intel's largest shareholders
• Intel-Nvidia partnership poses risk to TSMC and AMD
• Collaboration aims to enhance AI and computing capabilities

This is more than OK given that Nvidia has plenty of money to lose.

Salesforce is at the front of this shift, with CEO Marc Benioff peddling his “Agentforce” AI tool and recently touting an AI-driven cut of 4,000 “heads” from his customer support ranks. But this didn’t entail a layoff of 4,000 workers, the company said. Inside the San Francisco tech giant, there’s now a growing effort to soften AI’s job replacement blow.

https://www.sfgate.com/tech/article/salesforce-soften-blow-ai-jobs-21053239.php

News came out just now. Intel stock is sky rocketing right now.

I’m at OMNISSA one and the feedback has been terrible. First hand feedback customers have said it’s not worth the trip. Nothing new, and the AI strategy is trash. A couple customers that have met Kevin norlin asked how he had a job. It’s embarrassing to be here representing this company.

Get rid of the entire SBG and its management chain. We have people like SS posting on LinkedIn about using AI for Security. stupid org filled with stupid people. The security is bottom tier with bottom tier folks

Anyone else received the same message? Just been told by my manager if not displaying proficiency by end of year (its mid September already!!) it will be factored into year end and if not using everyday by Q2 I'll be out!

Ill be honest, I don't think I could stomach it. Just pay me off and I'll go work in Target

… doesn’t exist anymore.

It is not a thing and it goes beyond HIH at this point. AI is the real disruptor and I’m seeing how this is already creeping into my tasks at an alarming rate