#generativeai

WebLogic 26? Fusion Middleware 27? Who is left to build any of this? Will it all just be AI slop? https://blogs.oracle.com/fusionmiddlewaresupport/oracle-fusion-middleware-statement-of-direction-is-now-available

Call out your bad leaders

6 in 10 workers say they have a toxic boss, study finds
Employees say poor leadership is driving stress, job changes, and even financial loss, while companies invest more in AI than in people.

Link: https://www.fastcompany.com/91534390/6-in-10-workers-say-they-have-a-toxic-boss-study-finds

As a meta mate I heard about the 7k employees being moved to MSL to work on AI initiatives.

Few questions:
How can I volunteer to be moved, or was that already randomly determined?

What are they actually doing there? Anything cutting edge?

Will they the most safe from the next few layoffs since they just got re orged?

Why in the world is Gemini AI being pushed for everything...from scripting to positioning statements to call analysis to coaching. Just stop already.

Seems like with sending jobs out of our country and their all in approach to AI, I wonder just how many jobs will be left.

Qualcomm’s CEO is working with ‘pretty much all’ major AI players on top-secret devices—and powering OpenAI’s first push into hardware

https://finance.yahoo.com/sectors/technology/articles/qualcomm-ceo-working-pretty-much-102600275.html

All AI heavyweights are traveling on Air Force One since yesterday.

Cisco's true job is laying off Americans and hire cheap labors at India and Mexico

Reading between the lines: companies should accelerate their use of AI to streamline [Read: reduce headcount] their organizations.

Arvind Krishna says the key to unlocking returns on AI is less about technology alone than a wholesale shift in the way companies approach their workflows

By: Steven Rosenbush
Updated May 5, 2026 3:33 pm ET

International Business Machines CEO Arvind Krishna says maximizing returns on investment in artificial intelligence requires a fundamental restructuring of business workflows rather than just adopting new technology.

The use of AI within a company typically evolves from the individual contributor to small teams, cross-functional groups and ultimately the entire organization. As a company progresses from one stage to another, so do the potential returns on AI investment. That’s less about technology alone than it is about updating age-old processes and social dynamics, according to Krishna.

“In the next year or two, the enterprise world will sort into two camps: companies where AI runs their business, and companies where AI is still a project,” Krishna said.

The line between those companies that make broader use of AI and those that don’t won’t simply come down to technology. “It will be their operating model,” Krishna said.

IBM on Tuesday at its Think conference in Boston announced a slew of products and capabilities, including a new version of watsonx Orchestrate, a secure multiagent control plane, and IBM Bob, for securely building and deploying agents.

While model developers are competing to stay one step ahead of each other, IBM is approaching AI from a different angle, helping its clients scale their AI efforts. AI is a core part of the technology giant’s strategy.

Last month, IBM reported higher first-quarter revenue of $15.92 billion and higher profit, driven by growing adoption of artificial-intelligence tools. While the numbers were ahead of expectations, the stock price fell. To some extent, that reflects the fact that IBM has been caught up in broader AI-driven concerns about software, but Ben Reitzes of equity research and consulting firm Melius Research has a buy rating on the company. “I’m excited…to see their AI-related business come of age,” he said.

Client zero

The use of AI at many companies began in earnest in recent years with proofs of concept. The experimentation stage has led to the greenlighting of many projects. Now companies are looking to move to the next stage, or enterprisewide deployment of AI. That’s potentially more rewarding, but also much more complex from an organizational perspective.

Krishna cited the evolution of IBM’s internal human-resource processes as an example of the operating model behind enterprise-level scaling.

In the pre-AI era, Krishna said, if an employee requested an employment verification letter to support an apartment rental application, the workflow required up to 18 different human touchpoints, including a manager, an HR business specialist, back-office staff and multiple software systems.

Today, an employee can generate the letter by making a request to an internal bot called “Ask HR.” The AI agent, integrated into IBM’s security network, automatically verifies the employee’s identity, pulls the required data from the HR system and sends the letter. All the employee has to do is specify how the letter should be delivered. The 18 touchpoints have been reduced to just one, according to Krishna.

To enable AI to scale across the enterprise, processes need to be redesigned end to end, according to Krishna. IBM’s Project Bob, as the initiative was known internally before it became a product, was designed to manage the entire software development life cycle, from writing new code to patching old code, generating documentation, creating test cases and ensuring security compliance, he said.

“I don’t begin with eliminating steps. I begin with how many touch points can I take out? And how can I make it much more nimble and faster and end-to-end? That’s the goal. Out of that comes the fact that you should eliminate steps,” Krishna said.

If people lose their jobs as a result, “I get to redeploy them, to do something else of more value,” Krishna said.

IBM has made progress rethinking its operating models, but more work lies ahead.

The hard part

Elevance Health Chief Digital Information Officer Ratnakar Lavu said AI is transforming the way the insurance giant works. The company, a longstanding IBM customer, is working with IBM to deploy AI-driven digital assistants. IBM said it is also one of the providers that helps Elevance with AI applications such as claims and approvals. Elevance works with other AI companies on a range of applications, too. For example, it has also rolled out an internal, OpenAI-powered tool called “Spark” to help its workforce operate at peak productivity. And it applies AI to the claims and approvals process.

Through a virtual assistant, the insured can ask complex questions about their benefits, such as whether knee pain treatments are covered, and receive instant, cost-optimized provider recommendations, according to Lavu.

Like Krishna, Lavu said the successful deployment of such AI applications demands a careful recalibration of business processes across the firm. In his experience, that effort requires a deep collaboration between business and technology teams. And instead of thinking about the work as an IT project, the insurer is focused on the end-user experience. Rigorous AI governance that integrates bias testing, transparency and explainability are part of the effort from the start. As solutions are built and deployed, a parallel governance process takes place, making sure they perform ethically and within strict enterprise guidelines, Lavu said.

There are plenty of challenges along the way. Official documentation hardly ever matches the reality of how work is actually done. Businesses are bogged down by deeply embedded business rules and legacy systems. And redesigning a process with AI requires establishing entirely new checks and balances to ensure the effort doesn’t inadvertently skew key performance indicators or lead to unintended outcomes, Lavu said.

Those redesigned processes need to be connected to one another, too. For example, he said, the newly redesigned prior authorization process must continuously communicate with the newly redesigned benefits process. Only by connecting such end-to-end workflows can a company streamline operations, eliminate bottlenecks and see the full realization of AI investments, according to Lavu.

And while Elevance is seeing significant success and clear ROI in the redesign of the individual process around AI, the company “still has work to do in the connectivity of processes to see the net outcome.”

That’s the end-to-end connectivity approach driving IBM’s work. And while IBM has made progress rethinking its operating models, more work lies ahead, according to Krishna.

“I think it’s early days. We’re only a third of the way through what can be done,” he said.

For the last couple of months i've spent time following trainings, learning how to build agents etc but Eliza just isn't delivering. Copilot on the other hand is far simpler to use and gets me what i need without giving me a migraine.

Does anyone else have a manager who’s fully surrendered to AI?

Every decision gets delayed because it has to go through ChatGPT first. You get assigned things that aren’t actually possible because “AI said it could be done,” then get told to use AI to figure it out. Eventually they try it themselves and realize the request wasn’t possible in the first place.

Every idea/process supposedly has a “better way” because AI will always suggest optimizations, rewrites, or process changes, even when they make zero sense given the actual constraints.

They send emails that are so obviously AI-written it hurts. Domain expertise gets ignored if it conflicts with the AI response.

And the best part: when I say something, it gets pushed back on. But if I explain that I am reading what AI responded with, suddenly they agree.

(Full disclaimer, I used AI to reword my post)

L7s, L8s, and L9s have forgone years of experience and nuanced knowledge that their teams’ possess in favor of having their egos stroked by fluff words from a machine that placates whoever is prompting it.

Many people who have been on businesses and can advise on actionable things to make them grow are being gaslit, ignored, and essentially told “shut up and do as you’re told”.

Of course it’s understandable how and why a corporation thrives on hierarchy, but having leaders who are NOT experts in their field giving vague opinions with zero willingness to learn about individual business does not make sense from a business perspective much less a personal one.

They expect us to decode their ChatGPT strategy and do backflips and upheave our lives to mind read and materialize what even they don’t know. This isn’t just a tool anymore, gen ai is running this company.

Long gone are the days where we were guest obsessed and interacting with the our shoppers to understand their needs. We now create product to appease one or two people.

Praying for a wake up call to save this mediocre and spineless company. I used to love this job so so much. I want it to get back to the way it was when the guest loved us and WE THE WORKERS loved it here as well 💔

https://www.tomshardware.com/tech-industry/artificial-intelligence/chinese-court-rules-companies-cant-fire-workers-just-because-ai-is-cheaper-ruling-says-automation-alone-doesnt-justify-layoffs

And we’re having SVPs find pennies under couch cushions and bragging about it

https://www.tomshardware.com/tech-industry/artificial-intelligence/chinese-court-rules-companies-cant-fire-workers-just-because-ai-is-cheaper-ruling-says-automation-alone-doesnt-justify-layoffs

Can you hear me now?

Many of the conversations here focus on RTO, offshoring and site closures. Personally, I think those issues are small compared with what the firm is contemplating with AI adoption — but there’s hardly any discussion about it in this forum.

What have you noticed in your own team? Are you seeing “digital employees” doing meaningful work? Have vacancies been closed with AI cited as a reason? Have contractors or staff been let go with AI mentioned as a factor?

I’ve heard this is already happening in the engineering organisation, with the “fisherman lady” setting rather ambitious targets

THEY'RE MAKING YOU TRAIN YOUR REPLACEMENT. USE AI, USE AI, USE AI, USE AI, USE AI, USE AI, USE AI, USE AI, USE AI, USE AI, USE AI, USE AI, USE AI, USE AI, USE AI, USE AI, USE AI, USE AI, USE AI, USE AI, USE AI, USE AI. INCREASE YOUR USAGE, INCREASE YOUR USAGE, INCREASE YOUR USAGE, INCREASE YOUR USAGE, INCREASE YOUR USAGE, INCREASE YOUR USAGE, INCREASE YOUR USAGE, INCREASE YOUR USAGE.

https://cwa-union.org/

YOUR WHITE COLLAR JOB IS NOT SAFE

750 U.S. citizens? Certainly not.
More on the same at the LinkedIn post -- https://www.linkedin.com/news/story/ibm-plans-750-new-ai-and-quantum-jobs-in-its-chicago-hub-8762946/

https://www.bloomberg.com/news/articles/2026-04-29/ibm-to-add-750-jobs-in-ai-quantum-computing-at-chicago-tech-hub

By: Miranda Davis |
April 29, 2026 at 10:00 AM CDT

International Business Machines Corp. is deepening its bet on the Illinois Quantum and Microelectronics Park in Chicago, with plans to add 750 jobs over the next five years.

The positions will be focused artificial intelligence, quantum computing, cybersecurity and data science, according to a joint statement Wednesday from the company and Illinois Governor JB Pritzker. IBM, which will get $19 million from a state tax-credit program, said it would also establish the FutureNow Chicago center at the tech hub.

The plans bolster Pritzker’s efforts to attract more jobs and business projects to the state, especially in advanced technologies. The quantum park, which was announced in July 2024 and broke ground last September, got a jump start from an initial $1 billion investment by Palo Alto, California-based PsiQuantum Corp. The facility will replace a closed US Steel plant on Chicago’s South Side.

“IBM’s investment in Illinois is a powerful vote of confidence in our state’s growing technology and quantum ecosystem and the world-class workforce that powers it,” Pritzker said in the statement.

The company said in late 2024 that it would establish a national algorithm center for quantum computing at the Chicago development, with partners including the University of Chicago and the University of Illinois Urbana-Champaign. The state provided a $25 million grant for that project.

https://time.com/article/2026/04/30/oracle-layoffs-ai-tech-jobs/

Some are saying RIF’s are BS. I believe the opposite.

https://www.lightreading.com/ai-machine-learning/ai-mad-verizon-to-continue-with-cuts-after-ceo-s-jobs-warning

Humana is facing significant controversies, most notably a class-action lawsuit alleging the use of an AI tool ("nH Predict") to wrongfully deny, limit, or terminate post-acute care coverage for Medicare Advantage patients.

Other issues include federal lawsuits over Medicare billing, data breaches, and a 2025 court loss regarding star ratings that risked billions in payments.

Key Humana Controversies and Lawsuits
AI Coverage Denials (nH Predict):

—A lawsuit alleges Humana uses the "nH Predict" algorithm, developed by naviHealth, to override physicians' recommendations and prematurely cut off rehabilitation or nursing facility stays for elderly patients. The suit claims these, which are "rigid and unrealistic predictions for recovery," are used to maximize profits.

—Medicare Advantage Fraud Allegations: Humana has faced multiple lawsuits under the False Claims Act. In 2024, they were involved in a $90 million settlement related to claims of overbilling the government for Medicare Part D prescriptions.

—Star Ratings Loss (2025): A Texas judge upheld a decision by the Centers for Medicare & Medicaid Services (CMS) to downgrade Humana’s 2024 star ratings for certain plans. This loss threatens billions of dollars in revenue for the company.

—Illegal Kickback Allegations: Lawsuits have alleged that Humana paid illegal kickbacks to insurance brokers, such as SelectQuote, to steer consumers into their Medicare Advantage plans between 2016 and 2021.

—Data Breaches and Security: Humana has reported incidents where unauthorized parties attempted to access member accounts, and they have faced class action suits regarding the protection of sensitive patient information, including a 2026 incident.

—False Statements (OIG Violations): Humana previously agreed to pay over $411,000 for allegedly violating the Civil Monetary Penalties Law by making false claims/statements regarding "meaningful use" payments in their electronic health records.

These legal challenges have created volatility for the company's stock, particularly surrounding the profitability and quality of its Medicare Advantage business, which is the primary source of its revenue.

In my opinion, that start of Humana shifting from being a great place to work to being not so great a place to work are the following three factors entering the scene of the corporation.

—DEI (Diversity, Equity, Inclusion)
—Cloud & AI (Artificial Intelligence)
—Outsourcing (H1B, Overseas, Contracting)

Just curious how game changing AI has been in various areas of the business. Is it giving greater capability or is it reducing the load?

Chinese Courts Rule Companies Cannot Fire Workers Simply to Replace Them With AI
https://www.caixinglobal.com/2026-04-30/chinese-courts-rule-companies-cannot-fire-workers-simply-to-replace-them-with-ai-102439602.html

I think this is great and would force companies to work on long-term solutions to improve their products instead of short term solutions like layoffs which only increase share price to give the executive board more bonuses.

There was a good economics paper on this phenomenon recently:
https://arxiv.org/abs/2603.20617

The TL;DR of this is: companies are financially incentivized to automate as much as they can and it is very hard to change this. But when one company automates and lays off workers, that affects all other companies (since the workers no longer have wages to buy goods and services). If all companies are automating and laying people off, everyone ultimately makes less money.

They propose as the solution what is basically a tax on layoffs: if you lay people off, and those people don't get re-absorbed into the job market at equivalent or better-paying jobs, then you gotta pay the difference in wages as a tax. The money from that tax goes back to the workers (they propose partially for income replacement and partially for retraining).

From what I see, Germany and other vassal states are just copying the US as usual and trying to fire as many employees as possible to show their "AI efficiency". So I expect that SAP won't change their course unless there is intervention from the EU or the state to save the economy when the AI bubble bursts.

For those being laid off in risk, you know this bank is still in disarray. Risk a huge mess.

Take the opportunity to escalate what you have seen to the OCC. Detail the events.

Don’t focus on DF telling everyone to “play with AI in your jobs” with minimal to no governance. Report the big stuff. Ops Risk/RCSA. Compliance.

The future of renewals relies on the stickiness of enterprise software. The gamble is that customers will tolerate bot-only support and sting renewal price hikes because the cost of migrating away is too high.

The company is moving to a No Human Interaction model where AI agents (utilizing the Aviator framework) serve as the primary interface. These bots handle everything from initial outreach to basic tier negotiation. The goal is to transition customers to an automated, self-service portal where renewals are processed as take it or leave it transactions.

This removes human negotiation but also eliminates the firewall that previously prevented customer churn. This automation is the technical justification for the reported 15–20% RIF planned for early F27. The company is stripping out its overhead cost to inflate short-term profitability.

what we are witnessing is the closest thing to an ENRON fiasco !!

CEO and board colluded to artificially bump the stock up using the 20 BILLION $ buy back....money we actually can't earn anymore from the market ....and selling AI hype !!!

compute will NOT take off....auto is low margin cr-p....nothing will replace apple business....and what do they do ? they spend every last dime on bumping the stock...

nice more buying those 125k call options as well...they literally are bumping the stock and making money off the shorts squeeze !!!

i wish they put more time in actually building a better company that capable employees would wanna work for long term !

To see any law passed in US will take decades, by the time that happens US job markets will be dead and people become poor. Oh well the capitalism.

Can someone explain to me what this team does besides using IBM Watson to monitor use cases and do reporting?

Do not think about chatbots. Do not think about AI (pick any ChatGPT etc) writing an email or summarizing a meeting.

That is not the real threat.

The real threat is the dozen projects happening behind the scenes that are automating back-office work. Every major consulting company now has platforms for this. They are clunky today, but they are getting better every day.

The question is: what parts of your job can be broken into steps, stitched together, checked by another system, and handed off to an AI agent?

Not every job. Not every task. Not everything a person does in a day.

But the hard parts? The repetitive parts? The parts where you pull data from one system, compare it to another system, create a report, update a case, send a message, escalate an exception, review a document, check a policy, validate a form, summarize an issue, route a request?

That is exactly what they are building.

And it works.

It does not have to be perfect. It only has to remove enough work to reduce headcount. Then humans become reviewers, exception handlers, and cleanup crews. Then the AI gets better. Then the exceptions get smaller. Then the human layer gets thinner.

My guess: we have about 2 years before this starts rolling out more visibly. Around 5 years for a serious ramp. In 10 years, anything in banking that can be automated will be automated.

Every single company in our industry is looking at this. Every single one.

If you like self-harm follow the PAM dude who constantly shares AI slop on LinkedIn. That's a full time job bro.

Supply chain sent a note to the contractor labor (mostly developers) that it is suspected they are using AI and those gains should be passed along to AT&T. Therefore their contracts amounts must be reduced immediately and every year for the next four years.

Not trying to stir anything, just curious how others see this.

CS sits on the board of Microsoft, and we’re seeing a strong push for Copilot internally.

As you all know 75% of teh contractors in CX were made redundant during the last 3 months. Most of it happened in the CX centres.
The latest is, CX is getting rid of all small accounts and they are keeping only what they call signature accounts. These are major SP accounts like AT&T,verizon, BT, TI, DT,Telstra etc.
The CX enterprise business is in a lot of trouble for a long time. So except for few strategic accounts like Microsoft,google, etc, CX is getting rid of all small accounts. Their plan is to manage such accounts through partners. This is a big shift that will happen in the next 12 months. As a primary step, they are planning to cut 15% of all blue badges in all theaters. They are planning to justify it with AI efficiency improvement and margin pressure. So Braze for it amigos.

And most definitely less efficient and reliable. Small satisfactions. I might be jobless, but it will still be fun to watch it unfold.

I accomplished something today in about 20 minutes with my manager using Copilot a project that would have taken the India team 11 hours to accomplish. 1 hour to explain. 6 hours to read the document and do the work. Another hour to re-explain what I wanted because they did it wrong, and then another 3 hours to finish the project.

The co-pilot answer was structured, tabular, concise, without excessive use of passive voice that makes my brain hurt.

Definitely the future

Here’s the current tech market we all work in, and a warning below:

“There are many different ways to lose your job. On Thursday, two tech giants decided to take different paths in dispatching thousands of their employees.

First there was Microsoft, which is said to be offering voluntary retirement to thousands of its workers. About 7% of of its US employees will be eligible for the buyouts, something the legacy giant has never previously done at this scale.

Then there’s Mark Zuckerberg’s Meta. The company shot out a memo on Thursday saying it planned to terminate 10% of workers, or roughly 8,000 employees, starting May 20. Meta employees have spent much of the year fretting about job cuts, which already hit the Reality Labs division and other teams. Now many more are coming.

So what’s driving the continuing, arguably accelerating series of mass terminations across tech companies? AI.”

WARNING

FIS are pushing AI usage really hard.

They will tell you it’s an amazing new tool that will revolutionise what you do.

Maybe.

But ultimately it is a tool that must pay for itself just like any other. And more than that - it’s providing corporations with an easy way to reduce resource costs.

The next time you load copilot at FIS and automate something or speed up tasks - what you are actually doing is helping FIS to eventually reduce headcount.

Everyone su-king up to AI right now needs to wake up and think about this. You are not an AI champion, you are an AI as-----n.

If you lose a trusted colleague or one day you yourself get that tap on the shoulder - you only have yourself to blame…