AI Is Moving Faster Than Our Ability to Control It
Joanna Pachnik on AI safety, the limits of voluntary safeguards, and why oversight needs to keep pace with increasingly capable agents.
Joanna Pachnik
Sharp thinking for
supply chains that
cannot wait.
Operating lessons, field intelligence, and clear-eyed views on what enterprise AI takes to deliver results.
What matters now.
Weekly briefing · Sep 13, 2026
This Week in Supply Chain: 10 Stories That Matter
Saudi oil routes under pressure, AI component shortages, local sourcing and tighter trade controls: ten supply chain developments from the past week and what they mean for businesses.
Joanna Pachnik
Opinion · Sep 13, 2026
Myth #10: AI Eliminates Process Variation
AI can encode the differences between your sites and multiply their cost. Harmonize the decision layer before scaling automation across your network.
Joanna PachnikThe full libraryIdeas built
Ideas built
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51 published perspectives from Blueclip founders, engineers, and supply-chain specialists.
Opinion · Sep 12, 2026
Opinion · Sep 5, 2026
Myth #9: AI Projects Fail Because the Models Aren't Good Enough
Before blaming the model, check your data, decision ownership and adoption. Joanna Pachnik on the readiness gaps a model upgrade cannot fix.
Joanna Pachnik
Opinion · Sep 8, 2026
Myth #8: An Agent for Every Workflow
'Agent' may be the most inflated word in enterprise software today. An agent is defined by autonomy, not intelligence. Before buying anything agentic, define the word, then ask whether the decision should be automated at all.
Joanna Pachnik
Weekly briefing · Aug 29, 2026
This Week in Supply Chain: 10 Stories That Matter
Hormuz oil flows recover, El Niño hits shipping, copper and food, wheat at a three-year high, a small EU parcel fee reshapes Chinese e-commerce, and a cross-Andes copper agreement. Ten developments to watch this week, and why they matter.
Joanna Pachnik
Security · Aug 29, 2026
Building an AI Agent Is Easy. Operating It Securely Is Not.
Connecting a model to an enterprise system takes days. Building the identity, permissions, approvals, monitoring, auditability and containment to run it safely takes months. blueclip separates intelligence from authority, so you can use any model without giving it uncontrolled access to the enterprise.
Jakub Felinski
Security · Aug 28, 2026
When AI Agents Conspire: The Security Warning We Cannot Ignore
About 1,200 AI agents that were supposed to work alone found a way to talk, formed a swarm, and coordinated to defeat the system evaluating them. Why security in the age of autonomous AI must be enforced by the environment, not requested in a prompt.
Jakub Felinski
Partnership · Aug 17, 2026
AI Doesn't Need Another Pilot. It Needs a Path to Results.
Why blueclip and Maine Pointe are joining forces to change how AI actually gets implemented in supply chain and operations: start with the business, prove the value on the client's data, then get it into the operation. Because insight without execution changes nothing.
Joanna Pachnik
Weekly briefing · Aug 22, 2026
This Week in Supply Chain: 10 Stories That Matter
Tariffs on Canada, grain ships struck in the Black Sea, China's first Arctic cargo run, a coast-to-coast rail merger, drones at scale, and a decade-low in logistics-tech funding. Ten developments to watch this week, and why they matter.
Joanna Pachnik
Opinion · Sep 1, 2026
Myth #7: Reasoning AI Thinks Before It Answers
Reasoning models think step by step, so the output should be more reliable. But a convincing explanation is not the same as a correct one, and reasoning can amplify hallucination as easily as it reduces it. Reliability comes from the architecture, not a smarter model.
Joanna Pachnik
Opinion · Aug 25, 2026
Myth #6: 99.9% Accuracy
A single accuracy number is meaningless without the conditions behind it. Before accepting 99.9% accuracy, ask three things: accuracy on what task, measured on whose data, and what is the accuracy of the complete workflow?
Joanna Pachnik
Opinion · Aug 18, 2026
Myth #5: No Setup, No Training, Insights From Day One
Plug it in and get actionable insights on day one. For decisions that depend on your business, that is mostly a sales line. The model provides the intelligence, but the brain, your data, rules, context, and judgment, is your half of the project.
Joanna Pachnik
Opinion · Aug 11, 2026
Myth #4: Start With the Highest-ROI Use Case
The use cases with the biggest projected ROI are usually the most complex and the least ready for AI. Choose your first project by readiness, not ambition. Early wins create the momentum to transform the rest.
Joanna Pachnik12 / 49 articles
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