#generativeai

The Wall Street Journal evaluates how 500 leading US corps stack up in 6 areas: AI readiness, innovation, talent readiness, financial fitness, resilience and agility.

AT&T ranks #375 overall with an Overall Score of 44.2, making it a clear laggard in the table. The headline surprise is that AT&T has a strong AI Rank of #33, close to Verizon’s #26 and well above many industrial and financial firms. Innovation is also not terrible at #181, which suggests the table does not see AT&T as technologically irrelevant.

The issue is that AT&T fails to convert AI readiness into broad future-readiness. It ranks #390 in Talent Readiness, #352 in Resilience, and #465 in Agility, which overwhelms the positive AI signal. The Goldman-style read is that AT&T looks like a company with technological investment capacity but legacy operating drag. The data suggests it may understand the AI transition, but the corporate system does not yet look adaptive enough to benefit fully from it.

Source:
https://www.wsj.com/rankings/best-companies-for-the-future/full-rankings-2026

The Wall Street Journal evaluates how leading US corps stack up in 6 areas: AI readiness, innovation, talent readiness, financial fitness, resilience and agility.

Oracle ranks #91 overall with an Overall Score of 57.7, just below the Software & Services industry average of 58.1. Its standout attribute is extraordinary: Innovation Rank #7, one of the best scores in the entire dataset. Talent is respectable at #106, but the rest of the profile is less convincing.

Source:
https://www.wsj.com/rankings/best-companies-for-the-future/full-rankings-2026

The surprising weakness is AI Rank #262, especially given Oracle’s public positioning around cloud infrastructure, data, and enterprise software. Financial Fitness is also weak at #327, while Agility is only #230. The table appears to reward Oracle for durable innovation capacity, but not for being a fully balanced future-readiness leader. The analyst implication is that Oracle has strategic assets, but the ranking does not view the company as operating with the breadth of Microsoft, Salesforce, Adobe, or ServiceNow.

If you work on a control team, your days are numbered. Work that can’t be automated by AI is being shifted to business accountability people. Huge effort to get rid of most controls. Nothing left for anyone to do.

Anyone hearing of layoffs within CRIU for analysts who work cases? This whole AI CoPilot bullsh-t is getting everyone on edge. Doesn't help when C14s consistently say "AI might be taking our jobs soon".

All Health Insurance companies will accomplish by leveraging AI over human being workforce is to provide a lesser quality of services and product to whom should be their customer base.

Will AI save corporations millions if not billions of dollars, which will make shareholders money and also C-suite executives bonuses.

But at the cost of it membership having a lesser, albeit cheaper, quality of services.

Problem is, all Health Insurance corporations consider shareholders to be their customer, not their membership. That is the problem with allowing public stock traded corporations to administer government funded products, such as Medicare.

All Health Insurance companies will accomplish by leveraging AI over human being workforce is to provide a lesser quality of services and product to whom should be their customer base.

Will AI save corporations millions if not billions of dollars, which will make shareholders money and also C-suite executives bonuses.

But at the cost of it membership having a lesser, albeit cheaper, quality of services.

Problem is, all Health Insurance corporations consider shareholders to be their customer, not their membership. That is the problem with allowing public stock traded corporations to administer government funded products, such as Medicare.

All Health Insurance companies will accomplish by leveraging AI over human being workforce is to provide a lesser quality of services and product to whom should be their customer base.

Will AI save corporations millions if not billions of dollars, which will make shareholders money and also C-suite executives bonuses.

But at the cost of it membership having a lesser, albeit cheaper, quality of services.

Problem is, all Health Insurance corporations consider shareholders to be their customer, not their membership. That is the problem with allowing public stock traded corporations to administer government funded products, such as Medicare.

All Health Insurance companies will accomplish by leveraging AI over human being workforce is to provide a lesser quality of services and product to whom should be their customer base.

Will AI save corporations millions if not billions of dollars, which will make shareholders money and also C-suite executives bonuses.

But at the cost of it membership having a lesser, albeit cheaper, quality of services.

Problem is, all Health Insurance corporations consider shareholders to be their customer, not their membership. That is the problem with allowing public stock traded corporations to administer government funded products, such as Medicare.

All that Humana and other Health Insurance companies will accomplish by leveraging AI over human being workforce is to provide a lesser quality of services and product to whom should be their customer base.

Will AI save corporations millions if not billions of dollars, which will make shareholders money and also C-suite executives bonuses.

But at the cost of it membership having a lesser, albeit cheaper, quality of services.

Problem is that Humana and all Health Insurance corporations consider shareholders to be their customer, not their membership. That is the problem with allowing public stock traded corporations to administer government funded products, such as Medicare.

Question posted on AI service:

'How does anything get fixed if customer service is automated and doesn't know the answer'

AI answer would surprise the leadership!

'That's a real problem, and many people run into it.

In theory, automation is supposed to handle common issues quickly and route unusual cases to someone with the authority and knowledge to solve them. In practice, some organizations over-automate customer service because it's cheaper, creating a situation where:

The automated system only recognizes a limited set of problems.
The customer has an issue outside those categories.
The system keeps looping through scripted responses.
Reaching a human becomes difficult or impossible.

When things do get fixed, it's usually because one of these happens:

The customer finds a path to a human representative.
The issue gets escalated through a supervisor or specialist team.
Public pressure is applied (for example, through social media or formal complaints).
The company notices a pattern of failures and updates its systems.

There's also a broader organizational issue: customer service often isn't the group that actually fixes problems. They act as a bridge between customers and the departments that can make changes. If that bridge is entirely automated and poorly designed, information about new problems may never reach the people who could solve them.

A common criticism of excessive automation is that it works well for routine cases but fails precisely when customers need the most help—novel, complex, or unusual situations. Those are the situations that typically require human judgment.'

Sounds like AI is now smart enough to replace the leadership teams. And it won't slurp when drinking its coffee.

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.