Myth #13: More AI Means More Productivity
Ten AI pilots can leave the same teams stretched thin. Productivity comes from finishing projects, changing how work gets done and reusing what you build.
Joanna Pachnik
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Opinion · Oct 24, 2026
Myth #15: AI Is Cheaper Than People
The subscription is only the start. Count the full cost of automation and check whether saved hours become lower costs or extra capacity.
Joanna Pachnik
Opinion · Oct 18, 2026
Myth #14: The Fully Autonomous, Self-Healing Supply Chain
Autonomy has a cost. Which supply-chain decisions should AI execute, which need approval, and where does human judgment still matter?
Joanna PachnikThe full libraryIdeas built
Ideas built
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56 published perspectives from Blueclip founders, engineers, and supply-chain specialists.
Opinion · Oct 4, 2026
Opinion · Oct 3, 2026
Myth #12: More Dashboards Mean Better Decisions
Seeing a stockout is only the start. AI should help evaluate the options, resolve exceptions and reduce the work between an alert and a decision.
Joanna Pachnik
Opinion · Sep 19, 2026
Myth #11: Bad Data Is the Main Problem
Clean data cannot fix a process nobody will change. Why AI needs business ownership, clear priorities and a plan for how work will change.
Joanna Pachnik
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 Pachnik
Opinion · Sep 12, 2026
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
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
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 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
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 Felinski12 / 54 articles
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