#generativeai

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AI enabled, Data driven

Find humor in this tag line. Layoffs based on xls col autosum for bottom line $$ with a location multiplier. Interesting what AI enabled, data driven analysis of affected employees would tell as far as AI perceived detrimental impact to organizational infrastructure & enterprise level impact, simple prompt using historic comp & bonus, recognition & performance evaluations. Sad, and yes, for the shills, I am an impacted person with a 25 year tenure still at the top of my game, deleted as a line item on said xls spreadsheet. Realistically T-Mobile lost more $$ in the last 12 days putting me on garden leave than the next 5 years of my cost to them. Business will continue, always does.

Maybe someone can pose the AI enabled, Data driven question for the next All Hands on my behalf. Thank you in advance if you do.


Ai Metrics?

Someone on here said something about usage of ai is going to be a performance metric for 2026 for everyone. Like how does this work? Anyone know yet? I did hear someone on my team today mention this but doesn’t know details.


More Chatter: Oracle Could Lay Off 30K Staff, Sell Cerner to Back $156B OpenAI Investment

Long thread on reddit, wallstreetbets subreddit, link below:

Oracle Is Acting From Financial Stress Rather Than Strategic Strength

Many commenters interpret the reported layoffs and asset sales as signals of underlying financial strain, not proactive optimization. The scale of the cuts is repeatedly cited as abnormal and alarming.

  • “That seems like a really bad situation. Firing 20-30k employees is no joke just to generate cash.” ( u/labowner85 )
  • “They have to cut 30k jobs and sell cerner because they are massively in debt and in danger of going bankrupt, even before the OpenAI deal.” ( u/sirzoop )
  • “What the fu-k lol, they are gonna start liquidating the business to fund a business that is not profitable and has no road to profit.” ( u/Any-Tennis4658 )

Several users argue that layoffs do not actually solve liquidity problems and may worsen execution risk.

  • “How does firing people generate cash? Sure your expenses lessen but the people working are also the ones generating income.” ( u/flyingGameFridge )
Cerner Is Viewed as Technically Inferior, Unsafe, and Effectively Dead

One of the strongest consensus themes is that Cerner is widely disliked by clinicians, engineers, and former employees. Many believe it is obsolete and losing to Epic and other competitors.

  • “Used Cerner my entire career. Switched to epic with new job. Good lord is Cerner so outdated.” ( u/dahhello )
  • “Cerner was trash before Oracle ever thought about acquiring the company.” ( u/Futbalislyfe )

Former Cerner employees describe a steep internal decline tied to outsourcing and leadership changes.

  • “Then they started outsourcing QA and then SWEs. Quality went to sh-t.” ( u/Specialist_Fan5866 )

Some comments allege serious patient safety risks, especially in government deployments.

  • “Cerner has literally KI-LED people. There's this thing called the ‘unknown queue’ that will just randomly su-k consults and tests away from the patient and send them into the ether.” ( u/1877KlownsForKids )

The dominant belief is that Cerner has little resale value and few willing buyers.

OpenAI Is Seen as Overvalued With No Clear Path to Profitability

Many commenters express deep skepticism about OpenAI’s business model and the logic of massive capital commitments to it.

  • “Open Ai? That non profit turned for profit that hasn't made a profit?” ( u/Lonely218 )
  • “I don't see a path where Open AI makes money.” ( u/PDX-ROB )

Several users frame the situation as sunk cost fallacy or a circular financial scheme.

  • “OpenAI NEEDS to be successful. They have already given so much money.” ( u/ChaseballBat )
  • “Everyone ‘invests’ in openAI. Then openAI just hands the money right back to them as ‘revenue’.” ( u/Shawn_NYC )

The prevailing view is not anti-AI in principle, but anti-valuation and anti-timeline.

Leadership Criticism Focused on Larry Ellison and Oracle Culture

Larry Ellison is frequently portrayed as reckless, politically connected, or driven by ego rather than operational discipline.

  • “What do you expect it’s Larry Ellison.” ( u/snowsnoot69 )
  • “Oracle destroys everything they touch yet they print money.” ( u/virtualGain_ )

Some comments imply political influence or favoritism in AI infrastructure decisions.

  • “No coincidence all of sudden White House now decided to support AI data center rollout.” ( u/Dmoan )

Others argue Oracle is abandoning its strengths.

  • “They’re selling off the family silver to stay sub scale in AI.” ( u/blufin )
Healthcare IT Lock In Explains Cerner’s Survival More Than Quality

A smaller but more analytical theme explains Cerner’s historical profitability as a function of switching costs, not merit.

  • “Once hospital systems are locked into an EHR software it is extremely costly to switch off.” ( u/mangofarmer )

Commenters note that this lock in is weakening as Epic consolidates market share.

  • “All healthcare charting is going to end up being Epic anyway.” ( u/Federal-Dingo-6033 )
Fear of a Broader AI and Economic Bubble

Some users extrapolate Oracle’s behavior into a macro narrative about systemic risk, debt, and speculative excess.

  • “Entire US economy is one jenga tower right now.” ( u/defeated_engineer )
  • “When this circular Ponzi scheme comes to an end, it will make the Lehman brothers a footnote in history.” ( u/Sweet-Mechanic4568 )

These views are less frequent but articulate deeper anxiety beneath the humor.

Uncommon or Minority Opinions

A small number of commenters push back against the overwhelmingly bearish sentiment.

  • “Bullish. Anytime you see these mega caps cut jobs it’s bullish. Bearish for society. Bullish the stock.” ( u/HighlightFeeling4118 )
  • “Much as we all may dislike the news. Bullish on Oracle.” ( u/LiveFreeOrRTard )

A few users defend Oracle or dispute claims about its financial position.

  • “Many false claims about Oracle, and its debt in this article.” ( u/CryptoBoy-007 )
  • “It’s good for cerner to be sold and leave Oracle.” ( u/sk169 )

    https://www.reddit.com/r/wallstreetbets/comments/1qrpe22/oracle_may_cut_30k_jobs_and_sell_cerner_to_fund/


Good luck with AI

I hope they're aware of the hallucination problem. Frankly, I doubt they'll ever manage to build a specialized, efficient, and, most importantly, reliable AI setup. But even if they could, responsible leadership would never discard the human elements - the institutional knowledge, the creative input, the essential oversight. This will backfire spectacularly. Unless, of course, the real motive was always to get rid of the people, and "AI" is just the latest excuse.


Security Incidents Increase and Security Team Reduction over 2 Years -

With Brad Arkin at the helm, Salesforce's security team reportedly shrank from ~300+ to 188 engineers over two years, aligning with company-wide restructurings amid AI adoption and efficiency drives. No public data specifically attributes incident spikes to these cuts, but one has to ask. The volume of breaches has fueled speculation about under-resourcing in security.

Do they regret the security headcount drop? No explicit statements, but the incident surge (from sporadic in 2024 to widespread in 2025) and AI backpedaling suggest possible hindsight regrets and prioritizing efficiency over robust defense in a high-threat landscape like Salesforce.

Major Incidents-
Late 2024 – Early 2025 Vishing Wave (UNC6040)
June–July 2025 Major Vishing Campaign (UNC6040)
August 2025 Salesloft Drift OAuth Breach (UNC6395)
September–October 2025 Extortion & Leak Escalation (Scattered LAPSUS$ Hunters)
Late 2025 – Early 2026 Follow-On Incidents


Prepare for the big one

https://x.com/edzitron/status/2015968336669245688

TD Cowen had a data center themed analyst letter today that said that Oracle may lay off 20-30,000 people or sell Cerner to keep up with the debt on the data centers it’s building for OpenAI. It also says multiple US banks have pulled back from Oracle data center deals.


Not to worry you but

Copilot guesstimates 2000-5000 cuts in 2026 just within Optum health. 572 confirmed in Jan. Out of 240000 employees could be worse.

https://www.beckersasc.com/asc-transactions-and-valuation-issues/whats-new-with-optum-9-updates-in-3-months/


ChatGPT failing so hard, they are implementing ads.

Again, AI will be proven to be the largest scam and dupe of C suite mo--ns ever! For something that is supposed to transform humanity and solve all of our problems, it now needs ads? Remember when design thinking was going to solve the worlds problems? - LOL!!!

As of January 2026, OpenAI has begun testing the introduction of advertisements within ChatGPT in the United States. This move marks a significant shift for the company, whose CEO previously states that ads were a "last resort".

https://www.youtube.com/watch?v=USVZuOafIi4


ICYMI

https://www.linkedin.com/posts/ernestmedsel_ai-activity-7421968993181130752-CmN5?utm_source=share&utm_medium=member_desktop&rcm=ACoAAA4Bi0oBs8Ddvldtd9fxma6xbBuG6OaOo4I


What’s brewing in Data and AI?

Starting to see signs that something big is shifting in the Data & AI org. There’s quiet “rebalancing” happening and leadership changes piling up fast:
– SVP of AI reportedly on the way out
– Two VPs gone back-to-back
– Several senior leaders in India leaving.
– A couple of senior leaders from Data & AI now have their resumes quietly circulating in the market. Communication has been vague, lots of reorg talk but no real details, and plenty of closed-door meetings. This feels less like normal org churn and more like a coordinated reset after some big bets.
Anyone else seeing similar signals or hearing about more changes coming


Product managers are too incompetent to seize the AI opportunity

Looks like these people are way too exploiting psychopaths so they want their slave humans to ask AI for solutions! So engineers you will never lose jobs, they will smoosh each other and milk companies saying stuff about human to human contact! Communication etc. they are still dependent on engineers to deal with anything engineering


Using AI to sue Intel for racial discrimination?

Anyone thought about it? Many Intel engineers already received checks from the blacklisting lawsuit, but it was a pittance. Now all those companies are being investigated for their racial hiring programs. Many of us had to endure them rubbing our faces in the fact that our careers were limited because we were white males when they thought they were untouchable. You don't need a lawyer to sue in CA and we are all fairly detailed oriented. Seems like an easy couple of million per employee for a slam dunk case now that Intel is sitting on a $170 billion marketcap. Even if we dont win we can force them to explain themselves in public and expose the truth.


How AI savvy is the average Intelian?

And how AI savvy are you? Do you know what the key developments in 2025 were and why AI is better positioned going in to 2026? Do you use AI for your job? I got the idea when a cousin sent an apparently popular news aggregator named Nate and I have no idea who this guy is. Of course we’re all enjoying our own caviar as Intel AI consumers…..


Thousands more jobs disappeared from telco and vendor workforces in 2025 as company bosses blamed AI for cuts.

2025 in review: Headcount on the slide
Thousands more jobs disappeared from telco and vendor workforces in 2025 as company bosses blamed AI for cuts.
https://www.lightreading.com/ai-machine-learning/2025-in-review-headcount-on-the-slide


Intel's approach to AI

I received a request from management to investigate how AI could be used so that all the developers could be laid off. At the same time, there's a need to give management some levers to pull so they themselves can't be laid off, since they supposedly make important, high-impact decisions. Fu--ing muppets.


Another one

The article says the McKinsey layoffs are a warning for the whole consulting industry in the AI age. Consulting once depended on smart people and hard to find information, but AI now does much of that work faster and cheaper. Clients want firms that can use technology to actually make changes not just give advice, so traditional strategy firms must adapt or risk falling behind.

https://www.fastcompany.com/91463039/why-the-mckinsey-layoffs-are-a-warning-signal-for-consulting-in-the-ai-age-ai-layoffs-management-consulting


CEO's Performance Review

The new CEO, now in the role about 18 months, has a more down to earth style than Greed. He came in with lots of fanfare on transparency & to right the ship. Assets & Clients continue to bleed at record numbers & more is in the hopper. Employee sentiment is negative and many are - not feel - are - overworked and underpaid.

New revenue enhancers like managed accounts in group plan are non existent and the corporation is still an operational mess w/weak leaders overseeing sales & operations. Sales are down and automation upgrades cu-m at a snails pace.

PR wise, company is still taking it on the chin w/no real plan in place to boost public review sentiment.

One bright are the Lipper awards but company can't find a way to get this news in front of clients. On the dark side, CITs are not used & the investment line up changes every Haley's commet.

Website hasn't been updated in yrs, and AI and Omni channel communications w/clients is well behind competitors. Team CX really does Sucx.

Disastrous exit from Truspire, and fire sales of two property gems like 320 Park & 1150 Broken Sound were the only thing preventing NY DFS from some type of takeover and helping replenish the $500M in lost surplus since the Pandemic.

Rating Agencies have lowered ratings and lawsuits against former employees in an attempt to protect the bizness have been distractions and embarrassing.

The CEO ran on transparency and even in first public statements when Rich asked Janoffseky what surprised her the most, she went on the record and said "lack of transparency"

Board is invisible and old while being out of touch.

After 18 months, our grade is: D- (2 Star Rating) time for a performance improvement plan for him and his lackeys.


Lowlights of the staff meeting

Please post fun lowlights of staff meeting.

  • AI and agentic agents. Fortunately B. didn’t talk about autonomous workspace vaporware. Dex was supposed to be competing with control up several years back. Revenue is still not able to cover Bharat’s travel.
  • Guada talking about recognition slack channel to motivate everyone.
  • Someone asking about valuation in 2028. Will Omnissa be around by that time?
  • Suni forced laughter.
  • Simzhu volume is going lower quarter after quarter due to declining revenue.

You should all breathe a little easier, the death knell of Copilot is upon us.

https://www.msn.com/en-us/money/other/microsoft-scales-back-ai-goals-because-almost-nobody-is-using-copilot/ar-AA1S5WkO

ChatGPT and Gemini are destroying the competition. Charlie is on the wrong side of this situation due to his financial ties to M$. Time to jettison him and find someone who actually knows what they are doing.


Give employees the gift of better focus

https://blogs.opentext.com/tis-the-season-to-simplify-work-5-ways-ai-helps-teams-wrap-up-the-year-smarter/

  1. Give employees the gift of better focus

Perhaps the most meaningful impact of AI content management is how it changes the employee experience.

By automating repetitive work and simplifying content discovery, teams can focus on higher-value tasks, such as strategy, innovation, and customer experience. It’s a lasting gift: fewer silos, faster collaboration, and a renewed sense of control over information.

This is better than the jelly of the month club, since this is the gift that keeps giving forever, not just the whole year.


The future of “AI”

Last quarter, I rolled out Microsoft Copilot to 4,000 employees at $30 per seat per month—about $1.4 million a year. I packaged the whole thing as “digital transformation,” a phrase the board loved so much they approved it in eleven minutes. No one asked what Copilot would actually do, including me. I promised it would “10x productivity,” which isn’t a real metric, but it sounds like one. When HR asked how we’d measure that, I told them we’d “leverage analytics dashboards,” and they promptly stopped asking. Three months later, I checked the usage reports: 47 people had opened it, 12 had used it more than once, and one of them was me. I used it to summarize an email I could have read in 30 seconds; it took 45 seconds and still required correcting hallucinations. Still, I declared the pilot a success—success meaning it didn’t visibly fail. When the CFO asked about ROI, I showed him a graph that moved up and to the right, charting a metric I invented called “AI enablement.” He nodded approvingly. We are now officially “AI-enabled,” whatever that means, and it’s proudly featured in our investor deck.
A senior developer asked why we didn’t just use Claude or ChatGPT, and I replied that we needed “enterprise-grade security.” When he asked what that meant, I said “compliance.” When he asked which compliance, I said “all of them.” His skepticism earned him a “career development conversation,” after which he stopped asking questions. Meanwhile, Microsoft sent a case study team who happily accepted my claim that we “saved 40,000 hours,” a number I produced by multiplying employees by a figure I made up. They didn’t verify it, and they never do. Now we’re featured on Microsoft’s website as a global enterprise achieving massive productivity gains, and the CEO shared it on LinkedIn to 3,000 likes—despite never having used Copilot. None of the executives have; we granted ourselves an exemption to avoid “digital distraction,” a policy I wrote. With licenses renewing next month, I’m requesting an expansion: 5,000 more seats. We haven’t used the first 4,000, but this time we’ll “drive adoption,” which means mandatory training—a 45-minute webinar no one watches but everyone completes, and completion is a metric. Metrics go in dashboards, dashboards go in board presentations, and board presentations get me promoted. I’ll be SVP by Q3. I still don’t know what Copilot actually does, but I know what it’s for: proving we’re “investing in AI.” Investment means spending, spending means commitment, and commitment means we’re serious about the future—the future being whatever I say it is, as long as the graph goes up and to the right.


What companies really mean when they roll out AI

Last quarter I rolled out Microsoft Copilot to 4,000 employees.

$30 per seat per month.

$1.4 million annually.

I called it "digital transformation."

The board loved that phrase.

They approved it in eleven minutes.

No one asked what it would actually do.

Including me.

I told everyone it would "10x productivity."

That's not a real number.

But it sounds like one.

HR asked how we'd measure the 10x.

I said we'd "leverage analytics dashboards."

They stopped asking.

Three months later I checked the usage reports.

47 people had opened it.

12 had used it more than once.

One of them was me.

I used it to summarize an email I could have read in 30 seconds.

It took 45 seconds.

Plus the time it took to fix the hallucinations.

But I called it a "pilot success."

Success means the pilot didn't visibly fail.

The CFO asked about ROI.

I showed him a graph.

The graph went up and to the right.

It measured "AI enablement."

I made that metric up.

He nodded approvingly.

We're "AI-enabled" now.

I don't know what that means.

But it's in our investor deck.

A senior developer asked why we didn't use Claude or ChatGPT.

I said we needed "enterprise-grade security."

He asked what that meant.

I said "compliance."

He asked which compliance.

I said "all of them."

He looked skeptical.

I scheduled him for a "career development conversation."

He stopped asking questions.

Microsoft sent a case study team.

They wanted to feature us as a success story.

I told them we "saved 40,000 hours."

I calculated that number by multiplying employees by a number I made up.

They didn't verify it.

They never do.

Now we're on Microsoft's website.

"Global enterprise achieves 40,000 hours of productivity gains with Copilot."

The CEO shared it on LinkedIn.

He got 3,000 likes.

He's never used Copilot.

None of the executives have.

We have an exemption.

"Strategic focus requires minimal digital distraction."

I wrote that policy.

The licenses renew next month.

I'm requesting an expansion.

5,000 more seats.

We haven't used the first 4,000.

But this time we'll "drive adoption."

Adoption means mandatory training.

Training means a 45-minute webinar no one watches.

But completion will be tracked.

Completion is a metric.

Metrics go in dashboards.

Dashboards go in board presentations.

Board presentations get me promoted.

I'll be SVP by Q3.

I still don't know what Copilot does.

But I know what it's for.

It's for showing we're "investing in AI."

Investment means spending.

Spending means commitment.

Commitment means we're serious about the future.

The future is whatever I say it is.

As long as the graph goes up and to the right.