Podcast Summary: The Quantum Paradox – What Supply Chain Leaders Need To Know

Supply Chain Now | March 25, 2026
Guests:

• Akhilesh Agrawal (President, P2P Solutions & Technology, Apex Analytics)
• William McNeil (VP, Market Intelligence, Apex Analytics)
  Host: Scott Lewton

Episode Overview

This episode spotlights one of the most pressing issues for the future—and now—of global supply chains: the looming impact of quantum computing. The discussion explores the paradox that quantum is at once “overhyped and underestimated,” unpacks the urgency for proactive planning, and offers step-by-step guidance for supply chain leaders on how to prepare for a quantum-ready future. Along the way, the conversation covers real-world risks, including encryption vulnerabilities and supplier data challenges, with candid, practical insights suited for both technology experts and business leaders.

Key Discussion Points & Insights

1. The Quantum Paradox: Hype vs. Underestimation

• Main Paradox:
  Many organizations view quantum computing as a distant threat that requires action later, not realizing that preparation must begin today—and that the risks are not so far off.

  “Quantum computing may pose significant future disruption at the same moment many organizations believe it requires no immediate attention.” — White Paper [12:30]

• Quantum’s risk isn’t just future speculation; data is already being harvested for decryption once technology catches up (“harvest now, decrypt later”).

2. The Why—Apex’s Perspective & Industry Duty

• Responsibility:
  With $10 trillion in annual spend and 250 million golden supplier records flowing through their systems, Apex must proactively safeguard sensitive data.

  “It's not a roadmap that you start creating when the technology arrives. It's a roadmap that you start creating today in preparation for that day.” — Akhilesh [00:00, 20:18]

• Industry Good:
  Apex aims to “do good to humanity” by raising awareness beyond its client base, prompting the broader supply chain sector to proactively mitigate emerging risks.

  “We thought it is a great idea to share this knowledge with the world so that as an industry we do better.” — Akhilesh [15:40]

• Time to Remediate:
  Implementing solutions to cryptography and tech standards changes often takes 3–5 years—a timeline that exceeds the pace at which many are planning.

  “Anytime a company goes through this type of exercise... it takes them up to five years to make these major changes. So if you start in 2030, it's already too late.” — William [16:45]

3. Quantum Risk vs. AI Laggard Risk

• Comparative Stakes:
  Quantum risk exceeds even the pain of being an AI laggard; a quantum-powered breach could cause catastrophic, even existential, consequences.

  “The stakes are like, is a company going to be bankrupt because they didn’t have protection?” — Akhilesh [20:18] “If quantum computing comes to fruition... it’s going to just replace every type of computing and model that we have today.” — William [18:13]

• Analogy:
  Quantum is not like “waking up to ChatGPT”—which led to opportunity discovery without immediate negative consequence; instead, it could mean instant, mass decryption of secrets and financial data, creating trauma overnight.

  “Let’s say five years from now...you wake up and the news is that every single diplomatic cable ever sent...has been decrypted.” — Akhilesh [19:08]

4. Overhyped and Underestimated—What Supply Chain Leaders Don’t See

• Denial and False Peace:
  Many leaders think existing encryption will carry forward, or that quantum isn’t imminent; in reality, the risk is both real and present.

  “It’s basically discarding the danger and acknowledging that there is no danger at the same time. And neither of them is true.” — Akhilesh [21:50]

• Regulatory Shifts:
  Major standards bodies (NIST, ISO) are already setting 2030+ deadlines to retire vulnerable encryption standards—regardless of quantum’s exact arrival time.

  “You need to use these new algorithms...and that’s regardless of whether these quantum computers manifest themselves.” — William [24:43]

5. Visibility—Quantum’s Role in Supply Chain Transparency

• Deeper Modeling:
  Quantum will mainly supercharge modeling and predictive analytics—not just discovery of new suppliers, but real-time risk analysis at massive scale.

  “With quantum computing...you might be able to say, I'll just run all models, all scenarios at the same time. It's only going to take 12 minutes.” — William [32:23]

• Schrödinger’s Supplier:
  A supplier can be both a risk and not a risk at the same time—a notion quantum and supply chain have in common; quantum excels at analyzing this ambiguity and complexity.

  “The same supplier is a risk and not a risk at the same time. So what quantum computers are going to help us with is massive amounts of computing and prediction over and above what AI is able to do today.” — Akhilesh [28:11]

• Convergence:
  AI and quantum will soon converge, amplifying scenario modeling, impact analysis, and data-driven decision making for deep supply chain tiers.

6. Near-Term Risks: Harvest Now, Decrypt Later (HNDL)

• What is HNDL?
  Bad actors are already collecting encrypted data—waiting to decrypt it once technology allows, meaning stolen data is a “time bomb.”

  “If I'm a bad actor today... Let's just store all of the encrypted data...and then I decrypt it all in one go. So that's the harvest now...and decrypt later is when the technology is ready in future.” — Akhilesh [40:40]

• Business Implications:
  Long-lived contracts, confidential product data, or even trade secrets (“the secret of Coca Cola”) could be exposed in the near future, causing immense damage.

  “If the confidentiality is long-term...that creates a risk today because, yes, I want to protect that risk long-term.” — Akhilesh [46:32]

7. Misconceptions About Quantum Readiness

• Future Problem Myth:
  Leaders underestimate the urgency, assuming it’s tomorrow’s problem.
• Talent and Supplier Shortage:
  The future will see a rush on quantum-ready talent and supply base, making it harder to ramp up later.
• Assumed Preparedness:
  Many companies’ cryptography is outdated even now—regardless of quantum.

  “You might find you are already using standards that have been disallowed for 10, 15 years.” — William [49:55]

• Lack of Inventory:
  Critical assets and vulnerabilities can be overlooked when no current roadmap or system inventory exists.

Notable Quotes & Memorable Moments

• On Quantum Urgency:
  “It’s not a roadmap that you start creating when the technology arrives. It’s a roadmap that you start creating today in preparation for that day when the technology is available.”
  — Akhilesh [00:00, 20:18]

• On Real-World Impact:
  “If quantum computing comes to fruition, absolutely agree... it’s going to just replace every type of computing and model that we have today.”
  — William [18:13]

• On HNDL Threat:
  “If I'm a bad actor today...I can put in a device in the network and just store all of the encrypted data...and then...I go to my treasure trove...and then I decrypt it all in one go.”
  — Akhilesh [40:38]

• On Supplier Ecosystems:
  “If every single supply contract has this provision down the supply chain, then the entire industry is impacted and every one of those suppliers in the entire chain needs to be protected against this liability in future.”
  — Akhilesh [23:24]

• On Quantum Computing as a Service (QCaaS):
  “You can rent a quantum computer...so not only companies like us can take advantage to do good, but the hackers...can also rent these cloud computers… it’s going to be the weapon of the future.”
  — Akhilesh [35:55]

• On Modeling Power:
  “With quantum, you might be able to say, I'll just run all models...at the same time. It’s only going to take 12 minutes.”
  — William [32:23]

Important Timestamps & Segments

• [00:00, 20:18] – What’s at Stake? Why Quantum Demands Immediate Attention
• [15:40] – Ethical & Industry-Wide Responsibility of Service Providers
• [16:45] – The Five-Year Implementation Window
• [18:13, 19:08] – Quantum’s Risk vs. AI Laggard Risk (Analogy and Future Catastrophe)
• [20:18, 21:50] – The Paradox Explained: Why Leaders Get Complacent
• [23:24] – Ripple Effect: Contractual Liability Down the Supply Chain
• [28:11, 32:23] – Quantum’s Real Impact: Visibility, Modeling, “Schrödinger’s Supplier”
• [35:55] – Quantum Computing as a Service (QCaaS) and Democratization—For Good and Evil
• [40:38, 46:32] – Harvest Now, Decrypt Later: Risks to Long-Term Confidentiality
• [48:18, 49:55] – Top Misconceptions About Quantum Readiness
• [53:09, 55:10] – Practical Next Steps for Supply Chain Leaders

Practical Steps: What Leaders Should Do in the Next 12–24 Months

Inventory and Assessment

• Catalog all IT systems, software, data sets, and critical suppliers.
• Identify data flows and encryption usage.
• Assess which systems and data are most sensitive and must be prioritized for protection.

Talent and Contracts

• Update job descriptions to seek PQC (Post Quantum Cryptography) skills.
• Prepare for upcoming talent shortages and start skilling up internal teams.
• Review and update contracts to account for quantum-ready security requirements—both for IT and direct/indirect material suppliers.

Data Cleansing & Supplier Engagement

• Cleanse and validate data to ensure risk modeling is effective.
• Engage with suppliers to gauge and encourage their quantum-readiness, knowing that global chains are only as strong as their weakest link.

Cybersecurity and Compliance

• Regularly assess existing cryptographic standards (many are already outdated).
• Prepare for new regulations and industry mandates for crypto algorithms (NIST, ISO).
• Work with insurance providers and rating agencies about quantum risks—it will impact premiums and compliance ratings.

Experimentation & Budget Planning

• Where budget allows, participate in pilot programs for quantum-safe solutions.
• Model worst-case scenarios—and use those findings to drive urgency internally.

Mindset and Communication

• Treat quantum not as distant science fiction, but as a present and evolving threat to competitive position, financial health, and reputation.

Final Thoughts & Actionable Takeaways

• Do not “wait for quantum.” Preparation must begin today—for supply chain risk, for compliance, and for talent.
• “Harvest now, decrypt later” is happening now and demands immediate mitigation.
• The convergence of AI, evolving risk models, and quantum computing will dramatically reshape the industry’s risk landscape within five years or less.
• Inventory, contract review, and supplier engagement are baseline actions every supply chain leader should prioritize on the path to quantum-readiness.

Recommended Resources:

• The Quantum Paradox: Separating Hype from Reality for Supply Chain Leaders ([Apex Analytics White Paper, discussed at length])
• Apex’s blog post: “Schrödinger’s Supplier”
• ApexAnalytics.com (for further reading, contact, or consultation)

Connect With the Speakers:

• Akhilesh Agrawal and William McNeil are available via the Apex Analytics website and LinkedIn (please mention the podcast if connecting with William).

Memorable Sign-off:
“It’s not all doom and gloom...It’s also really exciting to see what quantum computing may well pose for global supply chains. Pick one thing today—and put it to use. Deeds, not words. That’s what’s going to move us all ahead.” — Scott Lewton [57:00–59:00]

For further Supply Chain Now podcasts, insights, and resources:
supplychainnow.com