The global supply chain is navigating a structural break from the past — a permanent state of instability that Strategic Advisor Bart De Muynck terms the "Great Reconfiguration."
We are entering an era where the gap between "Leaders" — the 5% who embrace immediate action — and "Laggards" — those who say "not now" — is widening into an unbridgeable chasm. To survive this reconfiguration, organizations must capture the AI Decision Velocity and avoid the compounding Inaction Tax that leads to obsolescence.
The Opportunity: Capturing AI Decision Velocity
Historically, corporate leaders viewed Artificial Intelligence (AI) as an efficiency play — a tool to automate mundane tasks. However, the true, enterprise-altering value of AI lies in Decision Velocity. This is the ability to sense, decide, and act at machine speed through decision-centric planning, near real-time scenario simulation and autonomous fixes.
When an organization operationalizes AI Decision Velocity, it creates a virtuous cycle of value across three dimensions:
1. Internal Operational Value
AI-driven velocity eliminates the friction that typically paralyzes supply chains. Instead of manual "firefighting" when a shipment is delayed, autonomous systems perform rapid inventory restocking and eradicate blind spots. This leads to a projected 40% gain in operational efficiency, turning reactive cost centers into proactive, self-correcting systems.
2. External Market Advantage
Speed at the decision layer translates directly into a competitive differentiation that customers feel. AI allows for Dynamic Adaptation to Shifts, continuously monitoring market signals to continuously balancing service, inventory, and margin trade-offs as conditions change. The result is a dramatic improvement in Reliable OTIF (On-Time In-Full) performance. When customers receive what they ordered exactly when they expected it, Net Promoter Scores (NPS) soar, turning one-time buyers into loyal advocates.
3. Financial Realization
Operational excellence eventually hits the balance sheet. AI Decision Velocity drives top-line revenue growth by capturing demand that previously slipped through the cracks. It provides a Permanent Margin Defense against rising logistics and raw material costs. Furthermore, it slashes working capital by reducing excess "safety" stock and accelerates cash flow by shortening order-to-cash cycles.
The Danger: The "Not NOW" Trap and the Inaction Tax
Despite these clear advantages, many leaders fall into the "Not NOW" trap. They wait for "better times," "cleaner data," "more certain budgets," or a "return to normal." But in the Great Reconfiguration, none of those things are coming.
The Chasm of Inaction represents the diverging paths of competitiveness. Companies acting now are evolving into connected, orchestrated ecosystems. Those delaying the shift remain "Static Operators," buried in legacy systems and manual processes.
The risk of delay is not a flat line; it is an accelerating erosion of enterprise value characterized by five critical risks:
- Operational Stagnation: Delay erodes the foundation needed to scale, leaving firms unable to handle Tier-N disruptions.
- Customer Attrition: Laggards will be fundamentally unable to deliver the hyper-fast, transparent experience the future consumer demands.
- Irreversible Competitive Gap: Competitors who started this journey in 2024 and 2025 are already hitting a level of maturity that laggards cannot replicate overnight.
- Financial Fragility: Inaction leads to margin compression that eventually risks insolvency or bankruptcy.
- The Talent Chasm: Traditional, "Scribe"-based supply chains are becoming unhireable environments for the modern workforce.
The Human Core: Bridging the 1.1 Million Talent Gap
Perhaps the most urgent reason to act N.O.W. is the looming human capital crisis. According to proprietary modeling from Accenture, the supply chain industry faces an acute deficit: by 2035, there will be an estimated 1.1 million unfilled roles in the United States alone.
Traditional supply chains rely on "Scribes" — professionals buried in high-transaction, repetitive administrative tasks like manual data entry and spreadsheet reconciliation. As the labor pool shrinks, relying on proportionally scaling headcount to manage complexity is a mathematical impossibility.
The N.O.W. Philosophy facilitates a shift from Scribes to Stewards. By deploying Agentic AI to absorb up to 65% of routine workloads, organizations can elevate their people. These "Stewards" focus on high-level strategy, governance, and relationship management, working with machines rather than as machines. Organizations that fail to automate today will not only lack the technology to compete; they will lack the people to operate.
The N.O.W. Philosophy: An Architectural Requirement
To bridge the chasm, organizations must adopt an architectural blueprint based on three pillars:
- Networked Intelligence (N): Moving from siloed data to a connected, AI-enabled cognitive ecosystem that planning continuously.
- Orchestrated Agility (O): Building elastic infrastructure that can pivot global operations in hours, not months, using Event Orchestration Engines.
- Wide-Angle Visibility (W): Eradicating blind spots to see from Tier-N suppliers to the final mile, ensuring that only "AI-ready" data enters the system.
Following this is the N.E.W. Technology Methodology, which demands that vendors must move beyond reporting the past to helping organizations anticipate risk, evaluate options, and execute better decisions faster. Technology must be Network-Native, Event-Driven, and Wide-Angle. If your technology stack is a rigid monolith, it is no longer an asset; it is a structural liability.
Conclusion: The 2026 Mandate
Stability is an obsolete expectation. The 2026 Mandate is clear: Transformation is no longer a five-year plan; it is a daily requirement.
When a leader says "not now," they are effectively choosing to manage the next global crisis with the same broken tools that failed in the last one. They are choosing "Data Debt," blind spots, and slow decision-making. The "Inaction Tax" is a high-interest loan on the future of the company, and the bill is coming due.
The window to act is closing. Crossing the chasm requires a bold architectural shift — blending human intuition with machine precision to turn a reactive cost center into a proactive competitive advantage. The storm is already here. The time to build a more resilient, decision-centric supply chain, one that protects service, inventory, and margin, is N.O.W.
About the author
Bart A. De Muynck is an Industry Expert and Thought Leader with over 30 years of Supply Chain and Logistics experience. Bart has worked for major international companies such as EY, GE Capital, Penske Logistics, PepsiCo as well as several Tech companies. Bart spent 8 years as a VP of Research at Gartner where he was also the chair of the Supply Chain Symposium. He later served as the Chief Industry Officer at project44.
Bart is a sought-after speaker who is currently advising multiple companies and industry organizations in Supply Chain.
He is an author and Head Thinker of the thought leadership website Better Supply Chains. Bart is also a member of SCLA, CSCMP and part of the leadership at CSCMP's Executive Inner Circle.
