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Best Companies for the Future

In the Monday, June 8, 2026 the Wall Street Journal included a complete section listing the top 500 companies across all industry segments. Each company was ranked by AI readiness, Innovation, Talent, Resilience AI Readiness & Agility. The lower the ranking the better the company.

#1 Nvidia
#2 Alphabet
#3 Microsoft
#4 Meta Platforms

Telecommunications Services sector (only 3 companies in this sector)
#56 T-Mobile US (Agility rank 82, Innovation 283, Talent 136, AI 71)
#149 Verizon Communications (Agility rank 447, Innovation 250, Talent 155, AI 26)
#375 AT&T (Agility rank 465, Innovation 181, Talent 390, AI 33)

What do these numbers tell you? AT&T looks significantly less prepared for future success than its two major wireless competitors when all of the ranking factors are combined. The ranking appears to view AT&T as substantially weaker in attracting, retaining, developing, or positioning its workforce for future needs than its peers.

"AT&T has some innovative capabilities, but the organization is viewed as bureaucratic, slow to adapt, and less successful at developing and retaining the talent needed for future growth."

That combination can be especially damaging in a "future readiness" ranking because future performance increasingly depends on AI adoption, digital transformation, and workforce quality rather than simply owning a large network.

From an investor's perspective, the most concerning number in the table is probably not the innovation rank, it is the 390 talent rank, because that sees AT&T as having a weaker human-capital foundation than either Verizon or T-Mobile.


2026 Strategy Announced

Dan here. Announcing our 2026 strategy: We’re looking to globally engage end to end catalyst for change by intrinsically productizing cross-cultural channels and competently expediting seamless alignments. Artificial Intelligence. We want to rapidly create advanced dynamic customer experiences and compellingly scale user centric stories. Artificial intelligence. We’re going to be uniquely targeting low risk, yet high yield web readiness. Our exploratory research points to deconstructive relative contingencies, and now is the time to revamp and reboot our holistic asset projections, with our interactive 3rd generation paradigm shifts. Artificial intelligence. I’m sure we can make a window here to really discuss with our customers holistic, monitored innovations. Artificial intelligence.
And now’s the time to chart this opportunity and take the company forward. By now, you should be clear on the vision and purpose of the business. With this strategy and artificial intelligence, we will increase our targets 10x. Play to win. Artificial intelligence. All gas, no brakes. Artificial intelligence. Go team. AI.


Eliminate Senior Leadership Team with AI

I have a proposal for the BOD’s I think they will enjoy. Instead of laying off staff we should layoff the entire SLT with AI in order to drive company growth, innovation, and profitability. By now, the Board can already sense they dropped the ball hiring Enrique because he does nothing except lose market cap value. So why not save the company hundreds of millions by laying off the executives? Do you actually think AI would do worse? This company’s currently at its lowest point in history. Some people will read this as a joke but the more you think they more it actually makes sense. Also, think of all the stock comp that will be saved!! Buybacks will actually mean something now.


ExxonMobil Is Rewiring Its Enterprise For The Energy Future

ByJudith Magyar,Brand Contributor.

“Digital transformation often gets mistaken for an IT upgrade,” said Kurt Aerts, business venture executive at ExxonMobil. He was speaking at the ASUG Best Practices event for Oil, Gas and Energy in Houston, Texas. “Our ongoing transformation is a powerful reminder that true change means transforming the business at scale. It’s not about implementing new systems — it’s about fundamentally changing how an enterprise operates and creates value.”

Not just another systems project
This philosophy underpins the company’s multi-year transformation that integrates people, processes, systems, and data across an organization with $350 billion in annual revenue, about 60,000 employees, and operations spanning upstream, chemicals, fuels, lubricants, and low-carbon solutions.

One of the key steps in ExxonMobil’s journey, which began in 2017, was to reframe the mindset. “We don’t want to optimize, we want to transform,” said Aerts.

Process transformation requires challenging deeply ingrained ways of working and prioritizing adoption of industry standards for each process area and service offering such as Record-to-Report, Source-to-Pay or Order-to-Cash, to drive globally consistent execution. This takes a governance model designed for clarity and speed of decision making — two prerequisites for meaningful transformation and to prevent the common trap of consensus-driven optimization.

Transforming the core
Aerts went on to describe ExxonMobil’s three core pillars of transformation:

Processes are now harmonized to industry standards enterprise-wide versus being executed differently by business or geography.

Systems are modernized from 12 heavily customized ERPs to a unified, cloud-based platform on SAP S/4HANA.

Data is being turned from fragmented, trapped information into harmonized consistently defined enterprise assets.

In the past, answering a simple question such as ‘how much do we sell to Walmart’ required hours of aggregating and reconciling across 12 ERPs. Real-time, enterprise-wide visibility will speed up the process considerably. “Harmonized data is becoming ExxonMobil’s new gold standard — the foundation for predictive analytics, AI, and faster decision-making,” Aerts explained.

Managing scale and risk
Large-scale transformation requires effective risk management. ExxonMobil’s approach balances value capture and risk mitigation.

Deployments are phased by the existing ERP ecosystem, not geography or function, to manage complexity and provide business continuity. A layered governance structure — from a sponsor committee of senior executives to operational design boards — supports accountability, transparency, and alignment at every level.

Aerts shared some lessons from the frontline, stressing the importance of foundational principles. When challenges arise, these principles help keep decisions aligned with strategic intent. Next, he reiterated that data matters most, because clean, consistent data is the real enabler of transformation. And finally, the team learned early on that an out-of-the-box approach really works. Industry-standard configurations deliver agility and prevent the drift toward customization that burdens future upgrades.

“We were able to achieve significant simplification,” he said. “For instance, we reduced about 1,400 company codes to under 1,000, and profit centers from more than 15,000 to fewer than 500. This has eliminated significant complexity while increasing transparency across financial reporting.”

ExxonMobil’s key metrics reflect the disciplined execution of the transformation, and is exceeding its targets on its two principal objectives:

80% target on Fit to Standard: a testament to the commitment to adopt industry standard processes.

90% target on Clean Core: enabling instant upgradeability and system resilience.

Ultimately, ExxonMobil’s enterprise transformation is about creating competitive advantage. By harmonizing data, simplifying systems, and standardizing processes across business lines and geographies, the company is positioning itself for faster innovation and improved experiences for employees, suppliers and customers.

Shaping the future
Transformation is also about visionary leadership in an industry that is adapting to societal needs on how energy is produced, distributed, and consumed. ExxonMobil has a long history of collaboration with SAP to address functionality gaps and ensure the solution is optimized for the oil and gas industry. In essence, ExxonMobil’s journey offers a blueprint for global organizations facing the same challenges, especially lack of agility caused by legacy systems, fragmented data, and decentralized processes.

Aerts concluded: “A successful transformation isn’t about replacing tools; it’s about redesigning processes, data and systems to deliver industry leading performance in efficiency, effectiveness and the experience of our employees and customers, while ensuring agility for adjustments required due to changes in the market.”

https://www.forbes.com/sites/sap/2025/11/04/exxonmobil-is-rewiring-its-enterprise-for-the-energy-future/


Change to lakeside chats? The constant headwinds my blow out the fire?

Here are some new words for our friends at Corporate CommsGPT:

  • Macroeconomic atmospheric turbulence
  • Strategic velocity dampening
  • Opportunity realization drag coefficients
  • Enterprise momentum asymmetry
  • Dynamic value-capture friction
  • Market digestion oscillations
  • Revenue-adjacent gravitational forces
  • Go-to-market viscosity

Feel free to add your own.


IBM CEO commits to reaching Quantum computing milestone by 2029

Link --> https://www.msn.com/en-us/money/companies/ibm-ceo-commits-to-reaching-quantum-computing-milestone-by-2029/ar-AA24GHxd?ocid=msedgntp&pc=W099&cvid=6a2049f56af74598af51294d8ec381d8&ei=9

If you believe this stuff will be available in 2029, then you'll believe anything and... I have bridge to sell you in London. No mention of Arvind's golden boy, Dario in this article.
BUT...
What happens if the fabled quantum computers fail to materialize in 2029 ? Where will Arvind and Dario be ? Basking in the sun somewhere in the Caribbean or hiding from the Italian Mafia underground ? After all, a billion dollars is a lot of $$$. ($10 billion is even more). LOL.


Where is the innovation

The cure is not in cutting costs. The cure is to innovate its way out of the current
predicament. Fiserv seems to be missing that point. Sure you can increase EPS by buying back stock and laying off employees, but thats not going to grow top line revenue. No one is impressed with management’s plans, and the stock price is reflecting that.


As times change...

I have been thinking a lot about ai and sw eng. work.... been doing it now for almost 3 decades... the productvity gains are real. code moves faster - test cases are easier, documenting takes less effort... and research that used to take hrs happens more quickly.

at the same time, engineering has never been just about producing code. at least for me and folks around me... a lot of the value comes from debugging, arch discussions, mistakes, tradeoffs. learning the system deeply enough to shape it yourself. if ai starts solving too much of that for us, we will lose some of the judgment and ownership that made work meaningful.

Anyhow I do not think the answer is to reject ai. It is way too useful for that... the question is how we use it without replacing the curiosity... craftsmanship... collaboration and mentoring that make good engineers, and good teams even better...

At the same time I do that my wishes will come true, the economics are against it. So, yea times have changed...


IBM’s new $5B initiative will help enterprises rapidly patch open-source vulnerabilities

IBM's targeted version of Mythos.
Once again riding coattails and scavenging scraps.

https://www.cybersecuritydive.com/news/ibm-open-source-security-ai-project-lightwell/821348/

https://www.cnbc.com/video/2026/05/28/ibm-to-spend-5b-on-new-cybersecurity-platform-for-enterprise-customers.html


Congress challenging legality of this Quantum investment

https://arstechnica.com/tech-policy/2026/05/uss-big-bet-on-quantum-computing-may-not-be-entirely-legal/

It clearly falls outside the confines of the CHIP Act intent.

Article also points out how utterly ridiculous the idea of a "quantum chip foundry" is in 2026.


Brainstorm for Yourself, Not for Oracle Clowns

From my experience at Oracle...

Stop sharing your big ideas or new project concepts with management. Most of them honestly don’t understand the real technical depth behind the work.

They rarely join brainstorming sessions or real idea discussions. They only show up when the final result is ready. They don’t want the struggle or hard part of building something. They just want the finished product handed to them so they can approve it, sign the document, and take the credit.

If you suggest new ideas or projects before having complete results, management might even start seeing you negatively. And honestly, a lot of these managers can’t even get proper resources or support for their own teams. They have just something called Managerial EGO.

They love starting trendy discussions around hackathons, POCs, innovation, learning sessions, and all that. But most of the time, they only know the buzzwords because they heard them from someone else. They build vocabulary, not actual understanding.

At the end of the day, you’re there to finish the work assigned to you.Not to help management look smarter using your ideas. Some of those ideas could actually become your own startup someday and make you far more successful instead of helping useless managers climb higher.


Hilarious Website.... www.ford.com

Ford AI: Hi, how can I help you?

Me: Show me 2026 Bronco Inventory

Ford AI: Error. I'm having trouble getting that information. You can try again or come back later.

Me: why did it take so long to say "I have trouble getting that information" :). What is my closest dealership?

Ford AI: Error. I'm having trouble getting that information. You can try again or come back later.

Me: what is my closest dealership

Ford AI: Here are some links that may be relevant to your search for the closest Ford dealership:
Locate a Dealer
Find a Dealer

Me: Just tell me the name of closest dealership

Ford AI: I can provide you with links to find your closest Ford dealership, but I cannot tell you the specific name without knowing your location. You can use these links to locate a dealer near you:

Locate a Dealer
Find a Dealer

Me: Ok...here is my zip code.
Ford AI: Please use the following link to locate a dealer:

Locate a Dealer


GEMINI:

Me: what is closest ford dealership

Gemini: You have two very convenient Ford dealerships nearby depending on which direction you are heading.

The closest options are:

  1. Ken Grody Ford Carlsbad
    This is your absolute closest option, located right in Carlsbad.

Address: 5555 Paseo Del Norte, Carlsbad, CA 92008

  1. North County Ford
    Located just slightly inland in Vista, this is another very close alternative.

Address: 420 N Emerald Dr, Vista, CA 92083 (Located in the Vista area)


Are corporations reconsidering their rush to, or adoption of, AI in the workplace?

Corporations are not necessarily pulling the plug on AI, but the initial, unbridled "gold rush" has definitely hit a wall of operational reality. The corporate approach has shifted from a frantic race to adopt any AI tool to a much more cautious, calculated, and sometimes frustrated effort to find actual business value.

The current landscape reveals why companies are reconsidering their initial "rush" strategy, pivoting toward a more structured approach:

  1. The Productivity-to-ROI Disconnect

During the initial hype, the assumption was that massive individual productivity gains (like writing code or drafting copy five times faster) would automatically translate to corporate profitability. It hasn't. Recent data, including a 2026 enterprise study by Writer, shows that nearly half (48%) of C-suite executives now call their AI adoption a massive disappointment, and only about 29% are seeing a significant return on investment (ROI). Companies are realizing that adding expensive AI tools on top of messy, inefficient legacy processes just creates faster chaos, not better outcomes.

  1. Strategy "For Show" vs. Reality

There is a growing, uncomfortable realization in boardrooms that early AI roadmaps were built more for investors and public relations than for actual internal execution. In fact, three-quarters of executives admit their company's AI strategy has been "more for show" than actual operational guidance. Leaders are hitting severe bottlenecks when trying to scale experimental pilot programs into production-ready enterprise workflows.

  1. Culture Clashes and the "Two-Tiered" Workplace

The rush to implement AI has triggered significant internal friction.

The "AI Elite" vs. Non-Adopters:

Management is aggressively rewarding power users while planning to phase out employees who resist the technology.

Trust Deficits:

According to Cox Business research, nearly 50% of employees hide how much they rely on AI at work due to a lack of clear corporate policies, paired with a lingering fear (around 47%) that the technology will eventually eliminate their jobs.

Loss of Top Talent:

Gartner warned that companies focusing strictly on cutting payroll rather than training their people to use autonomous tools risk losing their best specialized AI talent to competitors.

  1. Severe Security Gaps ("Shadow AI")

When corporate IT departments didn't move fast enough to provide official AI tools, employees took matters into their own hands. This explosion of "shadow AI"—workers dropping proprietary code, sensitive financial spreadsheets, or customer data into unapproved, public LLMs—has terrified risk officers. Two-thirds of executives believe their companies have already suffered data breaches or compliance risks due to these unmanaged tools, forcing a hard pause to establish strict governance frameworks.

The Shift to "Agentic" and People-Centric Models

Instead of backing away from AI entirely—corporate spending remains incredibly high—organizations are drastically rewriting their execution playbooks. The "rush" is being replaced by two specific trends:

Moving to Agentic Workflows:

Companies are moving away from simple prompt-and-response chatbots and focusing on specialized "AI agents" built to handle specific, cross-functional business workflows with centralized IT guardrails.

The 80/20 Rule:

Forward-thinking organizations are abandoning the idea of total human replacement. Instead, they are structuring roles around an 80/20 model:

80% of roles are "human-led, AI-augmented" (the Ironman approach, where human judgment is non-negotiable), and 20% are "AI-led, human-supervised" (for high-volume, low-risk, repetitive tasks).

Ultimately, corporate America is learning that while adopting AI technology takes weeks, successfully restructuring a workforce to actually benefit from it takes years. The current pause isn't a retreat; it's a strategic realignment.

_


EH has lost momentum, whatever he had

I floated idea that EH should go about 6 months ago and everyone was overwhelmingly negative regarding my thesis in this board.

Now, I am sure majority of the people agree with me.

If all he can show for 18 months is what we have seen. What makes anyone believe that he can come out something outstanding in 6 months to 12 months from now?

It is abundantly clear to me, that when MP & JD gutted the talents or ( designers) and replaced with techies, Nike took wrong turn on the cross and EH cannot come back with no talents there with corporation culture is keep your mouth shut and follow the group!

What happened to JUST DO IT?
Double talking hypocrites


Bragging about 50 years ago. He has nothing.

SH posting about the 70’s like it was yesterday! From LinkedIn.

Let’s not forget the company that transformed how the world shares ideas and information. Xerox is known for inventing Xerography, the laser printer, the mouse, the graphical user interface, and Ethernet, all developed in its labs. Today, Xerox continues to innovate by expanding its IT offerings and creating a robust production ecosystem in print.

Despite predictions, the paperless office has not become a reality, and studies show that print enhances comprehension, recall, and memory. If you want to remember what you read, print it. More updates from Xerox are on the way.


Quantum Will Supercharge Medicine. IBM’s Milestone Proves the Future Is Near.

Was AK correct that the quantum age is nigh?

https://www.barrons.com/articles/quantum-ibm-cleveland-clinic-dr-gs-35cf1909

By: Mackenzie Tatananni |
Updated May 05, 2026, 12:08 pm EDT / Original May 05, 2026, 12:01 am EDT

As investors await a quantum revolution, researchers are already delivering the first tremors.Look
no further than the latest study from International Business Machines,
conducted alongside Riken and Cleveland Clinic. Scientists linked IBM quantum systems
to two of the world’s most powerful supercomputers: Fugaku at Riken and
Miyabi-G, operated by the University of Tokyo and the University of
Tsukuba.The end
result was a protein complex spanning more than 12,000 atoms. While
highly technical, the demonstration has clear applications in dr-g
discovery and medicine, potentially delivering the transformation that
quantum enthusiasts have long promised.“They’re
the largest known molecules to be simulated thus far with quantum
computing,” Jerry Chow, IBM’s chief technology officer of
quantum-centric computing, said ahead of the announcement.He
is describing what IBM and Cleveland Clinic define as “biologically
meaningful molecules.” The protein simulated in this case is called
trypsin, a heavyweight in the world of biology. Without it, the body
would struggle to perform one of its most basic functions: breaking down
proteins into the building blocks it needs to survive.A lot of quantum research
has centered on this type of work, which has clear applications in dr-g
development. However, investors have been eager for results that prove
quantum computers are useful for something other than lab-scale
demonstrations.“The
hook here is that we want to go to a world where we have much better
therapeutics and things that make all of our lives better,” Chow
explained. “Fundamentally core to that is understanding how molecules
behave, how molecules interact with things such as water. In many ways,
this is the largest demonstration to date.”Kenneth
Merz, the lead author of the study, agrees. “I always go to the dr-g
discovery angle,” Merz said. “We’re developing methods to discover dr-gs
to improve human health. But there’s also this concept of divide and
conquer.”Merz, a
staff scientist at Cleveland Clinic, leads a lab dedicated to building
computational tools that apply theoretical math to biological research.
The latest experiment shows how existing hardware can be paired with
quantum machines to solve problems that today’s computers cannot handle
alone, he said.“You
take a very big problem and break it into small pieces that are able to
run on current-generation hardware, and then stitch it together to get
the global answer,” Merz explained.The team stopped short of claiming quantum advantage, a milestone many investors are watching closely.Quantum
advantage refers to a system’s ability to outperform classical
computers at a range of tasks, doing so more efficiently, accurately,
and inexpensively. While often viewed as the true tipping point for the
technology, focusing solely on this milestone risks overlooking the
incremental progress made along the way.Chow
emphasized that any claim of quantum advantage must be validated
against established, rigorous testing frameworks. The scientific
community isn’t there yet, and to date, there is no consensus whether or
not true advantage has been achieved.“What
we’re seeing is this groundswell of pushing the envelope of what can be
done,” Chow continued. “We’re using these machines and these
capabilities to look in these areas where we know classical methods will
struggle.”He views
the latest study as part of a larger puzzle. “It’s not a singular moment
in time for quantum advantage,” Chow said. “But we’re certainly in this
phase where we’re absolutely using these machines to do real exciting
work.”


apple/telsa to run ev

https://www.wsj.com/business/autos/ford-ev-electric-truck-7fdb0e0a?mod=RSSMSN&fbclid=IwY2xjawRm8j1leHRuA2FlbQIxMABicmlkETFVOEUwNVMzU1ZvUGVmYjltc3J0YwZhcHBfaWQQMjIyMDM5MTc4ODIwMDg5MgABHurj8Q72uCnyj2qU_pbTBTThzpt4YnF71Rr8HvfnTZzsNdZT6a61B7P_wnsZ_aem_vdiIWp8B1pnJUn06hQWNiQ


hey EH I got a great idea for NIke!

Let's go back to on Nike catalog and bring back all the classic shoes and reintroduce them and put them on the pot and create all different kind of crazy color way and bring in rap artists and celebritis that has nothing to do with athletics and do a "collabo"!

What? What is that you say?

You already tried that to death and now you burned the whole market, toasted really well?

Oh, I am sorry, I was not tuned in for last 20 years.

EH you are touchy and sensitive these days.