#ai

Offshoring is what’s been truly destroying us.

CIO just want their metric shine by reducing ppl and showing off ai is working … let’s replace MD cto with AI

Training the Ai

The What IBM does today section is illuminating. . .

https://www.thestreet.com/investing/stocks/what-does-ibm-do

Cyber LOB is going through a major shift the long-term plan for this is to have stateside executives using AI agents to manage everything in automation by the end of the year they plan on having the Cyber LOB be around 41% India staff and under 20% American staff.
For those who have not looked at the CISO LinkedIn page and his executive subordinates then you should know that they haven't fulfilled a position like the ones they are fulfilling now ever in their career let alone for a long period of time what they are good at is producing positive data analytic numbers which is what the CIO Wants.
It's a tough market all around but the executives are looking to generate their own wealth on your backs as they put you out of a job this is why they want everything automation and everything AI because they want to push the buttons to solve the problems and remove you as the middleman.
The reality is you have two choices you can start looking for another job now and hopefully find something that allows you to leave on your terms or you can continue working and hope that they keep you but in doing so you will continuously be psychologically and emotionally abused and groomed to be their push button monkeys who has no real value or thought to the real world.

The unescapable fact is that under the leadership of the CISO the entire CS LOB will have its American workforce drastically dropped by the end of this year thus following the same corporate trends that other tech companies have been doing.

You losing your job is what's going to give the CIO and others bigger paychecks and that's what it's all about it's always been what it's about so continue working those 60 plus hours breaking your back losing your family and your health being psychologically and emotionally abused by your managers in doing so thinking you're going to matter, come Tuesday in the not so distant future you will be laid off if not fired... Not because the color of your skin or because of your performance or anything like that but because you are an American and because Americans cost too much corporations like Wells Fargo are not feeling like you're worth investing in so make sure that you leave on your turns and not theirs

Sharing an interesting article on the current future of work and what it now means for U.S. workers, American citizens, new graduates, and the accelerating role of AI.

'https://ifspp.substack.com/p/graduating-into-second-place?utm_medium=email'

Summary:
The trends highlighted in "Graduating Into Second Place" reveal a labor market undergoing a structural shift that disadvantages American workers—especially new college graduates—long before AI enters the picture.

The article points to a widening employment gap between U.S. citizens and foreign graduates in STEM fields, driven largely by federal visa programs that incentivize employers to hire lower‑cost, visa‑dependent labor. These programs, particularly STEM OPT and H‑1B, have become embedded in corporate hiring strategies, creating a parallel workforce pipeline that increasingly displaces domestic talent at the entry level.

For U.S. graduates, the consequences are immediate and sobering. Even after earning advanced degrees, many find themselves competing not only globally but domestically against workers whose employment is subsidized through tax advantages and regulatory structures. The traditional promise—that education leads to stable, upwardly mobile careers—is eroding as entry‑level roles are offshored, outsourced, or filled through visa channels designed to reduce labor costs.

AI compounds these pressures. While the article argues that AI is not the primary driver of current disparities, its rapid adoption accelerates the same dynamics: fewer junior roles, more automation of foundational tasks, and a corporate preference for leaner teams supported by global labor markets. For U.S. workers, this means fewer on‑ramps into professional careers and a steeper climb toward mid‑career stability. For new graduates, it signals a future where opportunity is shaped less by merit and more by policy choices that prioritize cost efficiency over cultivating the domestic workforce.

There is an AI assistant called Sherlock that is now handling the majority of customer cases. Instead of working directly with TAC engineers, customers are unknowingly interacting with this virtual assistant for most of their support experience.

TAC engineers have been instructed to “overwatch” — essentially to train and correct the AI model — with the expectation that a significant portion of AMER TAC will be laid off in FY27. After these reductions, customers will primarily be supported by cheap TAC teams in India and Mexico.

What’s most concerning is that TAC engineers have been explicitly told not to disclose any of this to customers. They are being directed to remain silent about how cases are actually being handled, leaving customers with the false impression that human engineers are actively working their issues when, in reality, the AI system is driving the process.

This lack of transparency means customers are being misled about the nature and quality of the support they are receiving.

Note: This should not concern you if you're a premium HTTS customer

A recent study reveals 40% of Maryland's workforce is at high automation risk. This is the largest share of any U.S. state, excluding Washington, D.C. State leaders are now addressing potential job displacement from artificial intelligence. Governor Wes Moore is promoting job training initiatives. The Maryland Department of Labor announced a $4 million plan for worker retraining. This plan focuses on fields like cybersecurity and advanced manufacturing.

Baltimore, Maryland

https://foxbaltimore.com/newsletter-daily/how-is-maryland-preparing-for-ai-layoffs

From the emails and town halls, they are outsourcing some departments in two waves. We are near the end of wave two. We all received the email that future waves are not planned at this time.

But with AI, tension internationally, cheaper international call centers, demand for product changes, who knows what the future looks like.

And to the comment: umm yes, if they let people go they are probably age 40+. The people that continue work here are also over age 40 on average. Not sure why you made a comment on age, oh because you don’t work here.

The (Bottom Line) is that (No Matter What) Corporate (AI Workforce Displacement) is going to (Increase) into 2027 (at least) -

• A (Perfect) recent example is Oracle who just (Prioritized) Ai spending over Employees by laying off 25,000 on W, 4/1/26.

• Employees are (Always) considered a line-item (Expense) due to the (Cost) of salary, and benefits by a Corporation.

• AI RPA (Robotic Process Automation), and other AI efficiencies contribute to the Corporate bottom line.

Per the LEI - Leading Economic Index, a Major Recession is enroute > 2027.

I think the market has this wrong, especially if they think this is in anyway tied to the company gaining some new foundry customer.

This appears to me to be a typical financial leveraging exercise, where they take on a lot of debt in order to own 100% of the revenue from lagging node production.

Seems like typical short-term Finance thinking to me, all well and good unless demand falls off a cliff when the megacap tech hyperscalers are forced to pull back sharply on capex.

Why would they do that? Because (unlike the AI disruption they all face) the other corporate users of AI are not ready to run off an adoption cliff.

Each and every one of the megacap tech companies are in an existential race, scrambling to replace a good deal of their existing products with datacenter revenues. Users are already shifting to use of AI in place of the key products offered by the megacap tech companies, so those companies are moving to AI as quickly as possible, before their entire business model is destroyed.

Oracle is a great example of what is happening, where they are slashing headcount at the same time as they are going all in on debt-fueled datacenter construction. Amazon appears to be at the other end of the spectrum and that is likely because they don't feel as at risk from AI. Microsoft, Google, Meta..soon to be disrupted.

So much manipulation by so many to create competitive moats, all for naught.

Other companies are also adopting, but not at such a furious pace, and so don't need the datacenter growth being offered by the megacap tech companies. At some point (very soon) there will be a reckoning, which results in datacenter capex being probably cut in half (more or less).

AI is still a thing, just not quite as fast as megacap tech companies need it to be.

Oracle is laying off thousands of workers nationwide. The company has not confirmed how many Austin employees are affected. Economists view these cuts as a broader tech industry strategic shift. This shift aims to free up capital for AI infrastructure investments. Experts advise job seekers to focus on acquiring AI-related skills.

Austin, Texas

https://www.kxan.com/news/local/austin/oracle-cuts-thousands-of-jobs-prompting-questions-about-austins-tech-economy/

U.S. employers announced 60,620 job cuts in March, a 25% increase from February. This figure is still down 78% compared to March last year. Artificial Intelligence (AI) was the leading reason for cuts in March, accounting for 15,341 positions. Technology, Transportation, and Healthcare sectors show the highest year-to-date job reductions. Overall first-quarter cuts are the lowest since 2022. Companies are shifting budgets towards AI investments, impacting traditional roles.

https://www.challengergray.com/blog/challenger-report-march-cuts-rise-25-from-february-ai-leads-reasons/

earlier this week I got an API key for Claude Code. my coworker in EMEA got one too. she also got an email from her band 5's chief of staff asking to verify if she still needs to use Microsoft Apps and to present a "convincing and strong business case" for keeping them. are we buying these off the shelf?!

so let me get this straight: we have money to burn for AI (Gemini, VEGAS and now Claude Code amongst more probably) - BUT WE DON'T HAVE MONEY FOR MICROSOFT APPS?!

To write a Charlie Scharf earnings call commentary, and co-pilot nailed it.

Replace Senior Management with ai, they're all just a bunch of group thinking robots anyway

Flowers in the townhall: “We are not going to stop focusing on risk. On the contrary. We will continue to focus on risk management.”

Also Flowers: “Pick up co-pilot. Use it. Experiment. Get familiar with it. It is our future”

lol. How many people are using co-pilot to knowingly or unknowingly sp-t out nonsense right now. These banks are highly regulated. Zero controls in place for how outputs are being used. Most managers are reviewing nothing. No one has a clue hoo o w often people are using AI or where.

I’ve seen people submit so much gibberish to me over the past month. Clearly AI outputs.

Good job guys. Not only is RCSA a joke in terms of quality but now we are layering in more risk to every process without understanding the impact.

What could go wrong?

Why Oracle is cutting so deep, so fast
The layoffs are directly tied to Oracle’s aggressive and debt-heavy expansion into artificial intelligence infrastructure. According to analysis from TD Cowen, the job cuts are expected to free up between $8 billion and $10 billion in cash flow — money the company urgently needs to fund a massive buildout of AI data centers.

Only to have ANOTHER AI review that work and say it’s all wrong. This place is run by mo--ns and I cannot wait until it falls into a pit.

FCRM/FCM remote OR employees were told by executive team, they would be displaced in October 2025, 4th quarter. That came around and they changed the date to the 1st quarter of 2026. Now into the 2nd quarter of 2026 with more empty promises and no displacement in sight. Prevent Ai not working as planned 😂 buggy program and they need to keep senior staff around to balance out the cascading CPH metrics. Also changed to IPH and lowered metrics because Fraud Agents are underperforming with a rushed Ai product.

The truth is, Oracle was an ocean of innovation once, with mature software development that was run by adults. We believed in being a place for responsible and business oriented work/software, and to be a company that made other companies successful. Kinda like "All ships rise with the tide". A quiet confidence. The Oracle name had cachet. Sure, we lost people during mergers and aquisitions, but those were logical business decisions. Where did I fit? I came into Oracle's influence around 1997, and I was in and out of Oracle several times. The stories I could tell. However, the stories were within the norms of a company that was run by adults. Good and bad. I look around my life, and Orace paid for everything. My life is what it is now, because of Oracle. There was good. There was great. There is no way I can ever say that Oracle was a bad experience overall, but I can surely say there were some horrible times. Things started to go really bad, when Oracle got a case of insecurity and heavily recruited from AWS. Like the AWS folks had some secret sauce to take Oracle into the "new age". The AWS folks - or shall I say - refugees, hated AWS and jumped ship to be in Oracle. Sadly, those people who left AWS, for whatever reason, brought those same dysfunctions into Oracle. You could see it in how they interacted with "Oracle people". Yeah, the AWS transplants felt that the Oracle people were old, without innovation and at every chance, they replaced/cancelled where they could. Those AWS folks HATED Oracle! Crazy right? You left AWS because it was a terrible place to work, then you came and hated the people that hired you? We saw this happen over and over. If you want to see where this layoff cruelty came from, look no further than who came from AWS. Instead of being an ocean of innovation at Oracle, we have islands now...and they are shrinking. I am so sad to see these layoffs. Its horrible to see all the good people gone over the last year or so. These new people who are running things at Oracle, just don't get it. I think Oracle, at least the Oracle I remember (Good and bad) is dying a quick death. The current leadership is not reading the room on the AI narrative. They are doubling down on a plan that won't work because the room has changed. People - as in the general public - are getting tired of AI Resumes, AI videos, AI words, AI decisions created by a machine running on old data. These folks who are running things don't have the experience of knowing how trends go (Blockchain anyone?) So these layoffs. My guess is Oracle will implode soon on this direction. I just hope there are enough adults to want to get back in the game and fix things, and hire these folks back when it does implode.

Who has been RIF'd this round or over the last several months? I'll go first. I was in October...anyone else? Any whispers about what's next? First they combined DS/DM roles...then they added extra layers of Sales Help and Deal Desk...so they combined essentially four roles into one, no extra pay, less headcount, and now they are just shoving it all to AI?

AI is good but our core tech and management are managed by those old school people, non competent guys. Why?

Jon McNeill, the former president of Tesla, has released a new book, "The Algorithm," which outlines a five-step framework for Elon Musk's high-growth business operations. Which is not applicable in OpenText.

Step 1 | Question Every Requirement
Answers like "department regulations" or "it's always been this way" are not acceptable. Even safety or regulatory requirements must be re - examined for their necessity.

In OT, permissions are limited and prevented us from doing things.

Implementation method:

• Ask: Is this requirement mandated by law, safety, or physical laws?
• Find the name of the person who initially proposed this requirement.
• Requirements with no clear source are assumed to be deletable.

—————

Tech bosses say AI will make us work less. So far, that's mostly meant fewer of us will be working for them full-time in the long run. So be distrustful of anything you hear from leadership.

Oracle just laid off 25,000 employees on yesterday due to AI spending constraints.

They are looking at 30,000 total this round.

Total Technology layoffs 33,302 year-to-date.

Higher Energy prices will lead to a potential Major Recession by 2027.

Oracle is laying off 491 employees in Washington state. These cuts affect workers in Seattle offices and remote staff. The layoffs take effect on June 1. This reduction is part of broader company job cuts. AI-driven efficiencies and funding new data centers contribute to the decision.

Seattle, Washington

https://www.geekwire.com/2026/oracle-cuts-491-jobs-in-washington-state-as-it-embraces-ai-led-engineering/

This Layoff was entirely orchestrated through AI and ML tools inside Oracle. This is the first AI orchestrated layoff completely done end to end in IT industry. The mail were scheduled on time, the slack channel were turned off (Just like last time). but all the rest of orchestration like monitoring a person in his laptop, blocking all access, automated mail access removal and shut down of mail and finally laptop shutting down.
Automated Severance calculation and everything goes smooth.

But the way Layoff was conducted was totally InHuman and people who worked 15+, 20+ years or 30+ years deserve some respect and it could have been handled better. They were thrown like bread crumbs.

That's the truth.

They told you you're laid off because of AI, but they didn't tell you their definition of AI = Actually Indians

Oracle is making a major push into artificial intelligence, investing heavily across its cloud infrastructure, enterprise applications, and data platforms to position AI as a core part of its business strategy.

but our technology is still in the 80s. Forms that require standard text fields with predetermined values, which the user needs to spell out, and a highly paid analyst or manager has to manually reject for typos. No drop down, no back end data validation, no autocomplete.

BUT USE AI. lol. Because we bought Microsoft bonds, Charlie is on the board, and we are spending billions on CoPilot to keep them afloat. Or something.

How about we just spend the billions bringing our technology later into the 20th century.

Oracle lays off employees as it curbs costs during AI buildout
https://www.businessinsider.com/oracle-layoffs-employees-costs-ai-buildout-job-cuts-2026-3

Copilot will do your job
:(

So it's pretty clear with this big AI push theyll be measuring usage soon as part of performance, does anyone know what metrics they are using?

🎪 Step Right Up: The Traveling Fad Circus 🎪

Ladies and gentlemen, welcome back—
where the lions are tired, the tricks are recycled,
and the real spectacle… is management chasing whatever just left town.

First act! The EV extravaganza!

Wall Street packs the tent, dims the lights,
and quietly slips out the back door.

The music stops.

The crowd is gone.

The confetti’s wet.

And just then—
right on cue—
Ford bursts through the curtain:

💥 “WE’RE ALL IN!” 💥

$20 BILLION (yes, with a B)
launched into a party that ended three quarters ago.

Fast forward—
the hangover hits. Hard.

Write-offs. Shrugs. “Market conditions.”

The trapeze artist misses the bar—
but don’t worry, folks…

Second act! The AI spectacular!

“Algorithms will save us!”
“Competitive advantage is now… vibes and compute!”

And again—perfect timing—
Wall Street starts backing away.

Quietly. Then quickly. Then all at once.

“Maybe… we overdid it on AI.”
“Maybe not every company needs to be a tech company.”
“Maybe… just maybe… build something that works.”

But the band keeps playing.

Because nothing says strategy
like arriving late, spending big,
and pivoting just in time to miss the next one too.

And off to the side, in a glowing crystal ball,
a cheerful voice reassures the crowd:

“Don’t worry—AI will be revolutionary!”
“Today!”
“…well, tomorrow.”
“Okay—next week.”
“Fine—next year.”
“Look, the point is—it’s definitely happening.”

Meanwhile, the acrobats are still falling,
the elephants are still expensive,
and the audience is starting to notice.

So stay seated, folks—
the show goes on.

New fad, new costume, same act.

🎪 Next performance: whatever just peaked. 🎪

Paradigm was the best job I've ever had. In about a years time it was turned into the worst. It's depressing.

Paradigm didn't rely on layoffs for quick number pumping. Even during the great recession, Covid, after the incident, my understanding is we never did actual layoffs. Our old leaders would hustle, try to drum up work, dig into the war chest, to make sure we kept operating and innovating and that its people were taken care of.

But we were told, times are tough. Housing is down. We have to tighten our belts to make this work.

A few weeks ago another round, only three people, but all well respected leaders, unceremoniously gone on a Friday. Then, only a few weeks later we have an all company meeting where we meet like 10 new executives and hear about their favorite condiments. Not a good look.

Now we’re told 2% raises company wide.

Meanwhile, all the actual people doing the work are seeing a dozen newer executives running around, making confusing decisions, contradicting each other, stressing people out. They pitch projects but don’t tell anyone the goal. We don’t know who the persona is, how these projects are supposed to make money. I struggle to understand what benefit they actually add.

It just seems like a huge nepotism tree. G-yatri hires all of her old friends, get the band back together. They are all yes men/women. Just do the thing, don’t ask questions.

I’m not an accountant, but they have to cost more than all the people laid off this past year.

And that expense is on top of the probably expensive AI licenses we’re paying for. Tools, that as far as I can tell, aren’t helping us. Hushed conversations in the hallway or at happy hours about how much extra work all these new “tools” are causing. But everyone is too afraid to speak up because they don’t want to be in the crosshairs for the next round of layoffs, so the concerns only bubble up so much.

And then we have to see our company’s LinkedIn page being a shameless commercial for Blitzy. Did we get a deal on our license with them? Where is the 4X development that was bragged about? Their site looks like a marketing guys idea of what AI might be able to do, but I haven't heard any of the product folks saying, "wow, Blitzy really made things better."

Maybe it is. Maybe this is making us so much faster. But we have no idea because communication has been terrible since G-yatri took over.

We’re now extremely top heavy. I don’t know what value these new executives bring. It feels like they are slumming it with us, looking at s-xier tech startups, wishing they were there instead.

And when the market crashes, and it will soon, the do-ers are going to be the ones sacrificed on the altar of “Shareholder” value. Most these AI companies won't exist and the ones that remain are going to start charging the real prices for their licenses instead of the venture capital prices they currently are at.

I don’t know if BFS and Peter Jackson know the level of talent that they have/had at a discount because the Paradigm culture was worth getting paid a lot less for. Well the culture is dying. Everyone has updated their resumes. And if the job market were any better, there would be a mass exodus happening.

We all sit here, on the eve of the financial quarter end, anxiously staring at the all company meeting on our calendars for Thursday. Never knowing what reorg, layoffs, or new executives will be announced. These used to be fun meetings where people got together, saw each other in person scheduled happy hours for after work. Now, the meetings are met with a mixture of dread and disgust.

It’s the "who you know" club all over again. We’ve got directors jumping into "AI Lead" roles who clearly haven't read a technical paper in years. They’re still pushing 2023-era prompting guides like they’re some kind of holy grail, even though that’s basically Stone Age tech for modern models.

Just sat through a meeting where a lead told us to "stay away from the newest models because they’re still learning." Tell me you don't understand how LLM training or inference works without telling me. It’s embarrassing. We’re throwing insane amounts of money away because the people making the calls have zero technical literacy. If you know anything about how this tech actually functions, you’ll see why this is destined to fail.

Note: Ran this through a scrubber to strip out my specific lingo/quotes so I don't get doxxed. You should too.

Aravind Srinivas (CEO, Perplexity) just dropped a blunt take on AI layoffs: most people don’t even like their jobs, so getting replaced by AI might actually be the push they need to build something better.

Speaking alongside rising fears from leaders like Bill McDermott (CEO, ServiceNow), who warns unemployment could surge, Srinivas flips the narrative, arguing AI is unlocking a wave of “mini businesses” powered by tools anyone can learn.

Mark Cuban and Sam Altman agree the shift is real: companies are already cutting roles and doing more with smaller teams. Bottom line: AI isn’t just ki-ling jobs, it’s rewriting the rules, and the people who adapt fastest may end up better off than ever.

https://finance.yahoo.com/sectors/technology/articles/most-people-dont-enjoy-jobs-213315361

• Tech layoffs reflect a shift from labor spending to AI infrastructure investment rather than a simple downturn.
• The “AI transformation” narrative often masks cost-cutting driven by investor pressure and prior overhiring.
• Job growth in AI is narrow and does not offset widespread displacement across the broader workforce.

https://siliconcanals.com/sc-a-the-real-story-behind-45-000-tech-layoffs-where-the-money-actually-goes/

The real story behind 45,000 tech layoffs: where the money actually goes

Recent layoffs across the tech sector are being interpreted through competing narratives that reveal different priorities. Some accounts frame the cuts as a necessary step toward an AI-driven future, presenting job losses and new AI roles as part of a balanced transition. Others emphasize the experience of workers, who are often left uncertain about why they were let go and whether automation played a role. A more critical perspective treats the AI explanation as a strategic narrative that makes workforce reductions appear forward-looking rather than financially motivated.

The core economic shift is a reallocation of resources away from employees and toward infrastructure. Companies are reducing headcount while increasing spending on data centers, computing hardware, and energy systems that support AI development. These investments do not generate equivalent employment opportunities, and the roles that do emerge are concentrated in highly specialized areas. This creates a structural divide in the labor market, where a small group of AI experts is in demand while a much larger group of workers faces declining opportunities.

The effects extend beyond individual companies to broader economic patterns. Layoffs are concentrated in high-cost tech regions, while new infrastructure projects are often built in locations offering lower costs and favorable incentives. Policymakers are beginning to respond by seeking ways to extract value from this expansion, rather than attempting to slow it. At the same time, the emphasis on AI as the driving force behind layoffs may obscure more conventional factors, such as pressure to improve margins after periods of aggressive hiring, leaving uncertainty about whether the anticipated productivity gains will materialize.

New York updated its WARN law to address AI's impact on job cuts. More than 160 firms submitted mass layoff notices. No filings, however, blamed technology or automation for job cuts. Experts believe companies avoid citing AI for legal or commercial reasons. This tests New York's transparency efforts regarding AI's labor impact.

https://news.bloomberglaw.com/daily-labor-report/ai-related-layoffs-test-new-yorks-ability-to-track-job-losses