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Articles by Robert J.
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Agentic AI Is an Adoption Challenge
Agentic AI Is an Adoption Challenge
Agentic AI Is an Adoption Challenge Agentic AI is already on the enterprise agenda. Organizations are treating Agentic…
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The Rewired Economy - Part 3: Why Energy Is Becoming the Hidden BottleneckMay 21, 2026
The Rewired Economy - Part 3: Why Energy Is Becoming the Hidden Bottleneck
The energy question is where the AI story becomes harder to keep inside the language of software. For years, we…
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Part 2: AI Is Not Just Software AnymoreMay 20, 2026
Part 2: AI Is Not Just Software Anymore
The data center is where convergence becomes visible. Most people experience AI as software.
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Part 1: The Economy Is Not Just Changing — It Is Being RewiredMay 19, 2026
Part 1: The Economy Is Not Just Changing — It Is Being Rewired
We usually talk about economic change one story at a time. AI is changing work.
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What My Career Taught Me About How Systems Actually WorkMay 11, 2026
What My Career Taught Me About How Systems Actually Work
What operations, quality, technology, and change management taught me about why systems do not deliver value by…
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AI Capability Is Not AI ValueMay 4, 2026
AI Capability Is Not AI Value
Companies are moving quickly to adopt AI. That is understandable.
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What Are Apple and Oracle Telling You?Apr 27, 2026
What Are Apple and Oracle Telling You?
Two C-suite announcements. Most will read them as routine leadership transitions.
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Activity
2K followers
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Robert J. Yeldell, Jr. shared thisAgentic AI is already on the enterprise agenda. But organizations are treating it as a technology initiative when it is really an adoption challenge. In this edition of How Systems Actually Work, I look at why Agentic AI will only create value when organizations define what work is ready to change, who owns that work, what risks must be governed, and what proof will show that value was actually created. #AgenticAI #AIAdoption #BusinessTransformation #ValueRealization #DigitalTransformation #OperatingModel
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Robert J. Yeldell, Jr. shared thisAgentic AI is already on the enterprise agenda. But organizations are treating it as a technology initiative when it is really an adoption challenge. In this edition of How Systems Actually Work, I look at why Agentic AI will only create value when organizations define what work is ready to change, who owns that work, what risks must be governed, and what proof will show that value was actually created.
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Robert J. Yeldell, Jr. shared thisAI may look like software, but it runs on physical infrastructure. This edition looks at why electricity, data centers, grid capacity, and even nuclear power are becoming central to the next phase of the digital economy.
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Robert J. Yeldell, Jr. shared thisAI may look like software, but it runs on physical infrastructure. This edition looks at why electricity, data centers, grid capacity, and even nuclear power are becoming central to the next phase of the digital economy.
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Robert J. Yeldell, Jr. shared thisAI may look like software, but it depends on physical infrastructure. Part 2 of The Rewired Economy looks at the data center as the place where compute, energy, capital, and governance begin to converge.Part 2: AI Is Not Just Software AnymorePart 2: AI Is Not Just Software AnymoreRobert J. Yeldell, Jr.
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Robert J. Yeldell, Jr. shared thisPart 2: AI Is Not Just Software AnymorePart 2: AI Is Not Just Software AnymoreRobert J. Yeldell, Jr.
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Robert J. Yeldell, Jr. shared thisIntroducing The Rewired Economy, a new How Systems Actually Work subseries on how AI, data centers, money, media, and infrastructure may be starting to connect beneath the surface.Part 1: The Economy Is Not Just Changing — It Is Being RewiredPart 1: The Economy Is Not Just Changing — It Is Being RewiredRobert J. Yeldell, Jr.
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Robert J. Yeldell, Jr. reposted thisRobert J. Yeldell, Jr. reposted thisSeven years inside Oracle Business Value Services. Then Oracle eliminated the function. Now the data says it shouldn't have. PwC, MIT, and McKinsey all dropped reports in the last twelve months. Different methodologies, same finding: ▸ 95% of enterprise AI pilots fail to deliver measurable P&L impact (MIT NANDA). ▸ Only 6% of organizations are AI "high performers" capturing meaningful EBIT (McKinsey). ▸ 42% of CEOs say their company is "stuck" — unable to unlock revenue or cost benefits (PwC). The bottleneck isn't the model. It's the discipline between the model and the income statement. That discipline has a name. It used to be called value engineering. It's exactly the work BVS did before half the industry decided AI had made it obsolete. It hasn't. AI has made it more important — not less. I wrote 1,500 words on why — anchored in all three reports — and on the four-move playbook I'd run today for an Oracle Fusion customer who wants to be in the 5% that captures value instead of the 95% that doesn't. If you're an executive sponsor, CFO, transformation lead, or Oracle alum working on AI value capture inside the Fusion ecosystem — read it. Then DM me. #EnterpriseAI #OracleFusion #ValueEngineeringThe 5% Problem: A Field Guide for Oracle Ecosystem Leaders Caught in the AI Reality CheckThe 5% Problem: A Field Guide for Oracle Ecosystem Leaders Caught in the AI Reality CheckMitch Raley
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Robert J. Yeldell, Jr. shared thisI did not set out to become a systems thinker. It happened slowly — through operations, payroll, shared services, process improvement, technology, and change management. At first, the pieces looked separate. But over time, the pattern became harder to miss: systems and people are not separate problems. A process does not perform apart from the people who use it. A platform does not create value apart from the behavior it changes. A business case does not deliver itself. That is the thread I explore in my latest newsletter article — the career I never planned, and what it taught me about adoption, value realization, and how systems actually work. Because the system and the people inside it are not separate. They never were. #SystemsThinking #EnterpriseTransformation #ChangeManagement #ValueRealization #HowSystemsActuallyWork
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Robert J. Yeldell, Jr. liked thisOscar Rodriguez it was truly a wonderful demonstration of our great partnership and how much more powerful we are together to solve our clients most important problems. #cloudfit and #aifirst mindset. Let’s get the ai scaffolding in place and accelerate our clients transformation. AWS Partners Amazon Web Services (AWS)Robert J. Yeldell, Jr. liked thisGreat bringing the Amazon Web Services (AWS) #ProServe and PwC teams together in Chicago last week for a strategy workshop! 🏙️ 1️⃣ We discussed what customers need most: accelerating AI & digital transformations, unlocking value from investments already made, and turning business transformation visions into outcomes faster. 2️⃣ The industry is evolving. Consulting and engineering are converging. Customers want one team that understands their business and can execute technically at speed with quality. 3️⃣ We discussed the power of leveraging AI agents to accelerate productivity & innovation in the field, and how AWS Transform, Kiro, AWS AI-DLC and deep industry expertise come together to deliver tangible outcomes for our customers. Thanks PwC for hosting this event! 🙏 cc: Todd Supplee, Skip B., Christian Iantoni, Paul Throldahl, Tim Mattix, John Cora, Anthony Torabi, Connor Murphy, Ross Chernick, Minh Vo, Ryan Starck, Brad Sevenko, Amol Katdare, Francessca Vasquez, Lester McPherson, MBA, Shruti Arora, Asa Kalavade, Sean Lewis, Sree Anand Ratnasinghe, Blake Chism, Rachael Wang, Matt Wood, Ankur Pandey, Bola Oyedijo, Emily Cole, Casey Crawford, Leslie Cook Ramirez, Vincent Y., Sara Nejad #AWS #PwC #ProServe #ProServeProud #CloudTransformation #AI #AgenticAI #Partners
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Robert J. Yeldell, Jr. liked thisRobert J. Yeldell, Jr. liked thisYou could finish all 20 of these courses. And still not get hired for the AI role. Because employers stopped paying for people who know how the tools work. They pay for people who can make them work inside a real company. These 20 platforms are free. Start anywhere. Run by the companies defining AI right now. Anthropic → https://lnkd.in/gtthqY4f OpenAI Academy → https://academy.openai.com Google AI → https://grow.google/ai Google Cloud AI → https://lnkd.in/gGzXgwfu Microsoft Learn AI → https://lnkd.in/gDFr9tYr IBM SkillsBuild → https://skillsbuild.org AWS AI Learning → https://lnkd.in/gRXCZnJG Meta AI Resources → https://lnkd.in/gRJx6735 NVIDIA Learn → https://learn.nvidia.com DeepLearning.AI → https://deeplearning.ai Hugging Face Learn → https://lnkd.in/g5Wq58Dg Stanford Online → https://lnkd.in/gGA6AXpu MIT OpenCourseWare → https://ocw.mit.edu Harvard CS50 AI → https://lnkd.in/gArUXdg3 Fast.ai → https://course.fast.ai Kaggle Learn → https://kaggle.com/learn MongoDB AI Academy → https://learn.mongodb.com Databricks Academy → https://lnkd.in/gEbnvvk2 Snowflake University → https://lnkd.in/gMUwQNTS Redis University → https://lnkd.in/gZWSbpwY Bookmark every one of them. Then understand what they can't teach you. A course shows you how a tool works. It never shows you where that tool fits inside an organization with real stakes. I learned execution in environments where mistakes had consequences. The gap I see most isn't a knowledge gap. It's the distance between what you build in a tutorial and what survives production. That distance is what I call the AI Execution Gap. That gap is where most careers stall. Not at the learning. So take the courses. Then ask the one question none of them cover: Who owns this when it breaks? That answer is what employers are buying. Pick three this week. Finish one by Friday. Then go build something that could break. ♻️ Repost to help someone in your network avoid this mistake. 🔖 Save it for your next AI initiative. Follow Gabriel Millien to stay ahead in AI while everyone else plays catch-up. Credit: Greg Coquillo
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Robert J. Yeldell, Jr. reacted on thisRobert J. Yeldell, Jr. reacted on thisI have remained silent about the impacts of the recent Oracle layoffs, but I feel compelled to speak up now. Many of my coworkers, mentors, and friends, who are some of the smartest and most hard working individuals I have had the privilege to work with, are now unemployed. I've noticed numerous posts from those who have never worked at our company, making negative remarks about the layoffs. Were they handled perfectly? Far from it. If you haven't experienced working here, STOP making unhelpful or unsupportive comments. You cannot fully understand what it’s like to work for this company. If your intention is to gain attention or drive traffic to your site, please STOP. It's WRONG to exploit the unfortunate circumstances of others. Instead, focus on sharing posts that provide real opportunities and supportive messages. To my coworkers who have been directly impacted, I will continue to share opportunities, and to those I’ve personally worked with, I will continue to reach out. Please keep in touch. #OracleRIF #emotionalintelligence
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Robert J. Yeldell, Jr. liked thisRobert J. Yeldell, Jr. liked this$1 million. That's roughly the entry price for an enterprise AI transformation roadmap from a tier-one consulting firm. Most engagements at Fortune 100 scale run two to three times that. For a long time, that was the right price. Senior teams, deep frameworks, six months of focused analysis, a roadmap your board recognizes. The analytical layer of that work has shifted. I rebuilt it with Claude Opus 4.7 ↓ The roadmap is a stack of 10 analytical sub-skills. Most are now reproducible with a structured Claude prompt, your own documents, and a senior operator who knows how to interpret the output. Here's the stack: → AI Readiness Assessment. The $35K-$75K diagnostic, in one pass. → Workflow Bottleneck Analysis. The $25K process map, drop in your SOPs. → AI Use Case Prioritization. The $45K-$65K "what to build first" matrix. → Build vs Buy Decision Framework. The $150K hidden inside every SOW. → ROI Business Case Builder. The financial model baked into every engagement. → Competitive AI Landscape Analysis. The $50K market scan. → AI Pilot Scope Definition. The $75K-$150K "clarify and design" phase. → Plus 3 more (governance lite, change readiness, deployment sequencing). Full stack inside. Each one ships with a copy-paste prompt and the operator caveat for what AI cannot do. The recipe is free. The restaurant is what matters. AI handles the analytical scaffolding. Deciding which department head gets their AI project first, holding the political line when a VP wants their pet pilot pulled forward, and surviving the Q3 board review still requires a senior operator who has actually run a transformation. The only sequence that works: understand the work, build the target operating model (inclusive of AI), build the tool. Comment "ROADMAP" and I'll DM you the full playbook. ♻️ Repost this for any leader scoping an AI roadmap right now.
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