SCMRadioM

The supply chain career that got you here will not get you there.

Let me explain.

I analysed which supply chain roles face the highest automation risk from AI — and the results are uncomfortable:

Inventory Clerk — 90% risk
Production Planner — 85% risk
PO Processing — 85% risk
Freight Coordinator — 75% risk
Purchasing Agent — 70% risk
Demand Analyst — 50% risk
SC Manager — 20% risk

See it?

The more your role is defined by a task, the higher the risk.
The more your role is defined by an outcome, the lower the risk.

AI does not replace people.
AI replaces tasks.

The person who processes POs? Replaced.
The person who redesigns the procurement workflow with AI? Promoted.

Same function. Completely different future.

Here is the data that should keep every SC professional awake:

• 92M jobs displaced by 2030
• 170M new ones created
• 39% of today's skills will be outdated
• 94% of SC workers are open to AI
• Only 36% know how to use it
• Junior logistics roles dropped 25% in one year
• AI-skilled professionals earn 56% more

That last number is the one that matters.

The market is already paying a premium for people who can:
→ Use AI tools (Claude, ChatGPT, Copilot) to accelerate analysis
→ Write basic Python for data cleaning and forecasting
→ Interpret ML model outputs — not blindly trust them
→ Design AI-augmented workflows
→ Lead digital transformation, not just participate in it

I have published a complete survival playbook:

✅ Role-by-role risk matrix
✅ 5-level AI literacy roadmap
✅ 6 critical skills to build
✅ Salary benchmarks for AI-literate vs. traditional roles
✅ A 30-day action plan starting with one free course

📰 Read the full newsletter → www.mathnal.tech
(Newsletter section → Issue #4)

You have two choices:

1. Learn to use AI and command a 56% premium.
2. Compete against AI and watch your role disappear.

There is no third option.

—
Krish Naidu
Mathnal Analytics | Decisions from Evidence
www.mathnal.tech

Your supply chain KPIs are about to get destroyed.

Not might. Will.

I spent the last month analysing the 10 converging risks that will reshape global supply chains between 2026 and 2030 — and mapped their impact against 15 critical supply chain metrics.

The findings are sobering:

→ OTIF: 92–96% today → 72–85% under disruption

→ Inventory turns: halved

→ Cash-to-cash cycle: doubled

→ Freight costs: +25–80%

→ Lead time variability: 3x–5x worse

→ Forecast accuracy: dropping below 50%

And the scariest part? These risks are not independent.

They compound.

Geopolitics triggers chokepoint closure → lead times extend → safety stock inflates → warehouses overflow → carrying costs surge → cash-to-cash stretches → investment capacity shrinks → AI adoption delays → competitors widen the gap.

One disruption creates a cascade across all 15 KPIs.

The 10 risks I mapped:

🔴 Geopolitical fragmentation & tariff wars

🔴 Maritime chokepoint disruptions

🔴 Climate-driven extreme weather

🔴 Critical mineral & semiconductor shortages

🔴 Cyberattacks on logistics

🟡 Labour shortages & skills gaps

🟡 Energy volatility & grid failures

🟡 Infrastructure decay & port congestion

🟢 Regulatory & ESG compliance

🟢 AI disruption of planning

For each one, I have calculated:

• The probability (from High to Certain)

• The specific KPI degradation

• The cost implication

• The primary metric it destroys

Plus a 5-year timeline showing exactly when each risk peaks, and a 5-point resilience playbook for what to do about it.

This is not a 500-word opinion piece.

This is a 15-minute strategic briefing with data, benchmarks, and a full metric impact matrix that belongs on the wall of every S&OP room.

📰 Read the complete newsletter → www.mathnal.tech

(Head to the Newsletter section — Issue #3)

The question is no longer "What could go wrong?"

It is: "Which of these 10 risks should inform my next decision — and which KPIs will they destroy first?"

To read the full article visit our website https://lnkd.in/grmwjZD4

&OP