#generativeai

I got employee appreciation messages today from three leaders at different levels in my group. When I pasted them into Pangram.com, I learned they were ALL 100% AI generated!!! Really diminishes the impact, which was weak to begin with...

Listen, I’ve been watching this Dan Schulman character—very tall, very thin, wears the jeans, thinks he’s very "Silicon Valley." He was at PayPal, and it was a disaster! A total mess! You tried to send ten dollars to your cousin, and suddenly your account is frozen, they’re asking for your blood type, it was a catastrophe! The stock went down like a rock in a lake. Splat!

Now he’s at Verizon—I call it "Very-Slow-Zon"—and he says, "I’m going to use Agentic AI." Agentic! What a word. Did he make that up? It sounds like a sneeze. Agentic! God bless you.

He wants to take the wonderful, hard-working people at Verizon—the guys who climb the poles, the women who handle the phones, great people, beautiful people—and he wants to replace them with a "Digital Agent."

I’ll tell you what happens: You call up because your 5G is acting like 1G—it’s moving like a turtle on Quaaludes—and you get a robot.

Me: "My phone doesn't work! I’m in the middle of a very important deal!"

The AI Agent: "I am sorry, DONALD. Would you like to hear a poem about fiber optics?"

It’s a disgrace!

https://youtube.com/shorts/A8K-ILroUTQ?si=KUcn2s9sE9-wQlpj

90% of us will be replaced by AI by 2031. I'm retiring in 2030, but what about everyone else who is under 50? What's your plan??

Do they really think AI can make up for that? Are they really that stupid? (that's a rhetorical question)

https://youtu.be/IbiKFm5_was

Key takeaways include:
• Workforce Disruption: Schulman acknowledges that Al will inevitably displace a large percentage of traditional customer service roles, particularly those handling routine, repetitive tasks like password resets or billing inquiries (1:10 - 1:29).
• Human-Al Collaboration: Rather than full automation, he envisions a hybrid approach where Al and human agents work in tandem to resolve more complex customer issues, ultimately improving service quality (1:32 - 2:09).
• Future Technological Outlook: Schulman emphasizes that Fortune 100 companies must embrace the ongoing technological revolution. He predicts that society will reach AGI (Artificial General Intelligence) within the next two to four years, followed by breakthroughs in quantum computing and humanoid robotics shortly thereafter (2:17 - 2:57).
• Corporate Responsibility: He stresses that as these advancements unfold, corporate leaders and society as a whole must be prepared and accept the responsibility that comes with managing these powerful technoloaies (3:00 - 3:13).

Anthropic - " AI is moving to fast"

Meanwhile RV confuses jumping off a cliff with flying.

Updated - F, 6/5/26.

The purpose of AI -

• To enhance (Productivity), (Efficiency); and to provide (Cost-savings).

• Employees are a line-item expense due to (Cost of Salary, and Benefits) from a business viewpoint.

  These are the facts.

Snowflake's CIO made a notable statement. He indicated using layoffs as a strategy. This was to persuade employees to utilize AI. The company aims for increased AI adoption. This move highlights a focus on technological integration.

https://www.theinformation.com/newsletters/applied-ai/snowflake-cio-says-used-layoffs-convince-staff-use-ai

The pain will be extreme.

https://www.youtube.com/watch?v=NBtUgWn-nHs

AI will prove to be the biggest scam ever foist upon corporate C suite knuckleheads. It's exposing just how ignorant and feckless all C suite clowns are, they all be-doverfor their consultants and do EXACTLY what they are told by these equally as evil consultants.

https://www.youtube.com/watch?v=NBtUgWn-nHs

Wendys, Starbucks, Uber, The Big Mouth Mark Benioff, all quietly removing their foots from their mouths and backtracking on AI due to failures and no ROI. AI cant even handle drive though hamburger orders.

Tech CEOs spent the last two years promising AI would replace workers, cut costs, and transform everything. Now they're quietly cancelling data centers, rehiring humans and admitting the math doesn't work. From Microsoft pulling back on billions in infrastructure to Starbucks ki-ling its AI inventory system after it couldn't count milk, Uber burning through a year of AI budget in four months, and one company accidentally spending $500 million on AI tools in a single month the AI hype is hitting reality. Even Sam Altman now says he was wrong about AI replacing jobs.

I saw the announcement that their AI tool deep research was released. It seems barely useable, and Bloomberg’s tools are miles better. They’ve been supposedly building this for years.

Are people at LSEG even doing any work or is this all a giant fraud?

Intel layoff people don’t have to wait until the end of the year for broken chips

https://www.tomshardware.com/laptops/nvidia-unveils-rtx-spark-superchip-at-computex-2026-new-platform-promises-to-turn-windows-into-an-agentic-ai-os-with-arm-cpu-blackwell-gpu-and-128gb-unified-memory

Intel is suffering a shortage of cutting-edge laptop chips built on its own 18A process node, hampering plans by computer makers to ramp up production, multiple sources told Culpium.

https://www.culpium.com/p/intel-is-struggling-to-supply-laptop

There's no winning.

Title says it all.

Uber burned through its entire 2026 AI budget in four months. Now its COO is questioning whether it’s worth it
https://fortune.com/2026/05/26/uber-coo-ai-spending-tokens-claude-code/

Matter of time when China will dump cheap LLMs.

A full year of continuous layoffs is something rarely seen at this scale. Many companies underestimated the value of experienced employees and overestimated AI’s ability to replace them. The biggest mistake is believing technology alone can replace knowledge, judgment, and human expertise.

TechFlow news, June 1: According to the Financial Times, Intel (INTC.O) plans to launch an AI chip by year-end that will use less expensive memory and cooling technologies compared to competing chips from NVIDIA and AMD.

Intel targets Nvidia with new AI chip by year end
https://www.ft.com/content/3ca15070-c1c7-4ec2-9598-e36b7de47bc0?syn-25a6b1a6=1

Dan’s goal isn’t to usher in a workplace utopia so let’s stop philosophizing about how AI should be used in theory. It’s just not going to happen!

Remember it’s the good old cut throat Verizon company culture we’re talking about here.

https://www.bankingdive.com/news/wells-fargo-ceo-scharf-ai-employment-banking-jobs/821368/

Rawul made appearance, got a hour of his sports franchise to work at DXC.

He wants everyone to AI up for no pay.

Whilst his racking in the money everywhere, how does that work?

It might actually be good for truist when the llm circlej bubble pops, as they haven't been able to waste that much money on it yet.

Anyone that thinks ai is "good" for most of the tasks for which it is being proposed, fundamentally does not understand what it means to be human, nor do they understand ai beyond "I need to gobble and push this to keep my job." Dogsh!t code, lies constantly. If you are an expert in your field and quiz it, this becomes apparently immediately.

Join Truist Luddites Anonymous today.

Tech Firms and Large Employers just now realizing cost of compute is higher than paying human workers.
Nvidia VP Bryan Catanzaro told Axios that for his team, compute costs now run far beyond what his employees cost. Uber's CTO burned through his entire 2026 AI budget on coding tools alone — and that was by April. (Axios)
OpenClaw creator Peter Steinberger claimed that his team spent more than $1.3 million in token costs in just a single month. Because of this, it’s now apparent that using AI is more expensive than hiring people, especially since it offers only limited productivity gains at the moment.
Despite no clear evidence of AI improving productivity and no widespread data supporting the idea of AI displacing jobs, big tech firms have committed $740 billion in AI capital expenditures this year — a 69% jump from 2025. That spending has coincided with more than 92,000 tech layoffs in 2026 so far. (Fortune) So companies are simultaneously spending more on AI, laying people off, and discovering the math doesn't pencil out the way they projected.

Cold....hard.....facts. Their massive AI Infrastructure-Related Securities Suit aside.

https://www.youtube.com/watch?v=zECyMRI8sV4

1 By partnering closely with NVIDIA, Dell successfully secured a front-row seat on the AI wave.
2 By backing Donald Trump, Dell gained political support and substantial government orders.
3 By distancing the company from China and giving up part of the Chinese market, Dell earned strong trust from Trump and his allies.
4 Through quiet but decisive and continuous layoffs, Dell has consistently reduced costs.
5 By shifting operations toward India, Dell has maintained product competitiveness.

https://l.smartnews.com/p-7N8S54w8/P2qeIM

Claude Code launched inside Microsoft's Experiences and Devices group in December 2025. Six months later, the experiment is ending. The tool was not cancelled because engineers disliked it. It was cancelled because they used it too much.

👍

is when the regulators start looking at how employers ignore honest feedback from AI.

better keep those records.

Have the people pushing this ever actually used AI for anything real? Yeah, you can automate some boring stuff, but you could do that with regular code, and you wouldn't have to babysit it. Plus, AI doesn't create anything new. It never will. Once we're gone, who's left to train it? Game over. Makes zero sense to me.

Story by Craig Hale

Four in five execs say they were less likely to value human employees after using AI
AI still requires human oversight, and many struggle to fully trust it

Poor and even negative ROI continues to plague many

A new study by Globalization Partners has revealed more than four in five (82%) company execs say they are less likely to value human employees after using AI tools, positioning human workers as secondary assets after more capable systems.

This sentiment differs from the current state of affairs, whereby 60% of the 2,850 surveyed senior execs agreed humans still lead work operations with AI merely serving as a productivity booster.

The difference could imply that, while humans remain integral today, managers may place less of an emphasis on the human workforce in the future as AI gets more work done autonomously.

AI is impacting how much top managers value their human workers

The shift likely positions humans as AI managers, rather than administrative workers, with two in three (69%) now spending more time than ever before monitoring and reviewing AI-generated work. The sense of a lack of trust still lingers, too, with only 23% having total confidence in AI's accuracy and 61% worries about legal accuracy when using AI on sensitive documents.

However, while some execs see AI as a human replacer, many others are still dissatisfied with their returns. Three-quarters (73%) say ROI has fallen short of expectations, with 16% even reporting negative ROI. As a result, around seven in 10 execs say they're prepared to cut AI budgets this year if goals are not met.

Separately, Gartner VP Analyst Padraig Byrne explained, "AI is everywhere, but most organizations are still figuring out how to monitor and trust these systems."

Giving a sneak peak into where companies might be getting it wrong, the research firm implied that those building AI agents without strong semantic and contextual data foundations are most likely to see hallucinations, unreliable outputs and biases.

Together, the two reports indicate that while execs are increasingly seeing AI as unavoidable, many are still struggling to trust it.

Looking ahead, Gartner calls for the implementation of model monitoring policies to provide quite quality metrics and an increased focus on infrastructure to handle high-volume model telemetry.

https://www.msn.com/en-us/money/other/most-executives-admit-using-ai-makes-them-value-human-workers-less

There’s a lot of buzz lately about using AI tools to dodge getting cut. But is this really happening? If you’re relying on AI tools, shouldn’t you be the one getting replaced?

Given recent townhall. The idea of shifting from engineers and managers to AI Builders as a blanket term to cover both engineering and managers as one. How are others feeling about this? Shifting team sizes to teams of 2-4 with a goal of trying to get code to production in 5 days. Does anyone else think it’s problematic? Team size changes meaning more layoffs to come? Anyone feeling as if there is a big disconnect from what upper management envisions and what goes on a day to day? Do we see quality control dropping and heavier workloads that will be “solved” because of AI? Anyone feeling let down by leadership?

Some managers have less than 5 reports
AI is barely being used, if at all

Meanwhile companies that will survive are flattening the orgs and making managers have at least ten reports and AI is used everywhere

We are so far behind it's worrying

OPED in today's WSJ. I think Verizon will likely see another big round of layoffs in the fall. SMH.

Algi Febri Sugita/Zuma Press

Two weeks ago I laid off more than 20% of my workforce. I didn’t do it because Cloudflare is struggling. We posted record revenue growth, have strong free cash flow and are adding an unprecedented number of customers around the world. I did it because business is changing, and to win the future, Cloudflare needs to change with it.

We haven’t found another example in U.S. business history of a public company growing at more than 30% that laid off more than 20% of its workforce. Yet what we did is likely going to become the norm over the next year. This is a story about artificial intelligence, but executives and commentators are misunderstanding how it will disrupt business and who will be affected.

To understand the issue, I went back to a book published in 1954, 20 years before I was born: Peter Drucker’s “The Practice of Management.” Drucker explores the different roles inside every business, which I would categorize as builders, sellers and measurers.

Builders create products. Sellers sell those products. Measurers do everything else: internal audit, revenue recognition, finance, legal, compliance, middle management, operations and on and on.

Contrary to what some analysts predict, builders aren’t going anywhere. If an engineer on my team can now be 10 times as productive, I’m going to hire as many as I can find.

Sellers, too, are safe from extinction. Humans still control budgets, and they want to buy from people who take the time to understand their needs, build trust and fix whatever goes wrong.

Measurers are also critical to a business, but different from the other two. The best are hard to find. They work tirelessly behind the scenes, don’t seek the recognition of a front-of-house role, and ideally have a perspective independent from the rest of the organization. Drucker argues that measuring business is important, but customers are earned through building and selling. The best businesses would maximize investment in those two functions.

AI isn’t coming for builders or sellers, but it is coming for measurers. Tireless, independent, efficient and available, AI systems can now measure an organization with a level of objective detail and precision that was previously impossible even for the best employees.

For Cloudflare, internal audit previously picked a handful of business risk areas to scrutinize each quarter. Now we’re moving to a system in which every business risk is audited continuously. We’re closing our books faster. We’re making fewer mistakes and catching the ones we do more reliably. And, as CEO, I’ve never had better tools to measure exactly how the business is performing, including identifying our rising stars.

The vast majority of those we laid off last week were measurers. We cut middle managers across the organization because AI allows us to have more direct reports per manager while still measuring and mentoring our teams effectively. We consolidated our operations functions into a single group that can support teams across the business, using AI to gain specific expertise when needed. We significantly reduced our marketing team, which, like in most companies, was teeming with measurers. Across our finance team, we found opportunities to consolidate and automate.

But the layoff wasn’t about reducing headcount. In fact, we have a record number of open positions. In coming years I expect our number of employees will continue to grow. With fewer people needed for measuring, we can now invest more in people in the areas that drive growth.

We received almost a million applicants for 1,111 paid internships this summer. The interns we hired are extremely qualified and AI-native. They’re all builders or sellers, and we expect that the majority will get full-time offers.

They’re the next generation who will invent ways to drive our business. With AI we can now better measure their contributions and accurately identify those who will be tomorrow’s leaders. AI isn’t the harbinger of bleak youth unemployment—it is quite the opposite.

AI won’t ki-l all jobs. But it will change every business. Ultimately, it will prove Drucker right. AI will allow us to better measure our organizations so the humans on our teams can focus on where they create and capture value: building and selling.

Mr. Prince is CEO of Cloudflare.

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.