Competing When Intelligence and Wisdom Are Commoditized
Introduction
Since starting ExperienceBypass™ Advisory Service, I have spoken to several large enterprise executives, and what I am hearing from them is that they are coming to the realization that AI has moved beyond being a proof-of-concept to the driver of all processes and activities. One key point is the fact that Intelligence and Wisdom have been commoditized….already. Many questions are immediately raised about the Transformation of organizational structures powered by a totally new approach to competition. No longer will enterprises hire the smartest and most experienced. Instead, the focus will now be on a new type of skillset; one that can integrate and orchestrate information for efficiency, effectiveness, and competitive advantage.
For decades, enterprises competed on knowledge and wisdom. – Knowledge was codified in processes, manuals, and databases. – Wisdom was concentrated in leaders whose judgment guided strategy and execution. But with AI, intelligence and wisdom are no longer scarce resources. Large Language Models and AI agents democratize reasoning, decision-making, and even operational execution with a new level of excellence and scalability not easily achieved by relying on just the human expert.
Expertise that once took decades for humans to acquire is now increasingly and easily available “as a service”. Losing an employee no longer puts companies at risk of having that knowledge walk out the door. This reality forces enterprises to fundamentally rethink how they create value.
It was not too long ago that ERP drove the commoditization of processes, and Global Business Services (GBS) drove the execution. My view is that, parting from these two platforms, Enterprises will quickly be able to figure this out and will leverage existing Service Delivery Models into their next meaningful operational stage.
I will highlight below a series of points that, as a minimum, should be taken into consideration during the next iteration of Enterprise Transformation.
1. From Knowledge Hoarding to Value-Oriented Orchestration
Enterprises must move beyond stockpiling information and expertise. The winners will be those who orchestrate flows of value across people, AI agents, and data ecosystems. It is not about knowing more; it is about integrating faster, aligning better, and executing smarter.
This will require a skill retooling for all enterprises.
2. Redefining the Operating Model
When intelligence becomes abundant, context and execution are the scarce resources. Enterprises must evolve by: – Embedding AI agents + humans into workflows (the popular saying of human in the loop). – Shifting talent from decision-making → problem framing, oversight, and innovation. – Expanding shared services into GBS-AI™, evolving into Centers of Integrated Operations.
Based on my hands on experience with GBS as a leader of a very large operation, and as the creator of and end to end Service Delivery Model framework, I will be releasing an evolved Model that will accommodate the necessary components to make AI scalable and sustainable in the administrative and operational processes and activities.
This Operating Model will drive the required Orchestration for competitive advantage
3. Governance as the New Differentiator
If AI makes intelligence cheap, then trust becomes premium. Boards and executives must ensure AI deployment is aligned, ethical, and transparent. That requires: – Governance frameworks that balance agility with accountability. – Ownership clarity across CIOs, CAIOs, and business leaders. – Ethical and regulatory guardrails to protect trust, brand, and compliance.
The driver for a new set of performance KPIs.
4. Competing on Purpose, Not Processing Power
AI can process information at an infinite scale. But only enterprises can provide the WHY. What separates leaders from laggards will not be the size of their models or datasets, but their ability to anchor AI in: – Purpose (why we exist) – Strategy (where we focus) – AI Processing Values (how we operate & scale)
Competitive Advantage will come from AI Sustainable and Scalable Solutions
Closing Thought
Just as ERP systems transformed enterprises in the 1990s, AI is now rewriting the rules of organizational advantage. But this shift goes deeper: intelligence and wisdom themselves are becoming commoditized. The winners will not be those with the most AI pilots or the largest models. They will be the enterprises that: – Align AI with purpose – Redesign their operating models – Scale responsibly with governance
Please let me know your thoughts on this subject… Thank you for reading the article.
Next week, I will be unveiling a proven framework for organizing Chaos into Enterprise Value with AI. This framework (CLEARED AI™), will include all of the necessary components and techniques to help companies get out of Pilot Purgatory and start realizing the promise of AI.
