The cure is a real AI strategy.

If your company hasn’t provided a sanctioned AI option, your employees will find one.

The path forward isn’t punishment it’s enablement.
Document it. Embrace it. Extend it.

Because if your highest-performing team is secretly using AI, that’s not a problem.

That’s a signal. 🚨

I’m curious: what’s the bigger challenge in the energy transition - technical innovation, policy frameworks, or the sheer number of skilled engineers to make it happen?

#NetZero #FutureOfWork #Engineering

Combine those two numbers, and the question becomes:
- Do we have the engineering capacity to deliver the transition we need?
- Or will the bottleneck not be technology, but talent?

If you’re a CISO or CTO, the question isn’t “Do we allow AI?” it’s “Do we know where and how our people are already using it?”

The result? Confidential data exposed to vendors with zero SLAs or compliance clearance.

Shadow AI doesn’t just accelerate work it can accelerate data leaks.

Because ignoring Shadow AI doesn’t make it disappear it just makes the risks invisible.

This isn’t inherently a bad thing — but if it’s undocumented, it introduces security, compliance, and continuity risks.

Leaders: Don’t just ask if AI is being used. Ask how it’s being used.

👉 2026 won’t just be about AI models. It will be the year of MCP and interaction protocols, where #GenAI becomes not just a thinking partner but a doing partner.

👉 Simplification of complexity: Instructions like “Go into this hazardous zone and take measurements” will no longer require deep technical expertise. With MCP, even an entry-level employee could safely command robots to execute these tasks.

👉 Real-world integration: Agents won’t just be digital assistants—they’ll control physical systems. Cars, robotic arms, even ships could be safely directed using simple natural language.

👉 Cross-industry adoption: Where GenAI started in software, MCP-style servers will spread into finance, healthcare, and even food services.

In 2025, we’ve seen agents dominate the conversation in AI/ML. But by 2026, the real shift will come from how these agents connect with real-world workloads through standards like the Model Context Protocol (MCP).

Here’s what I expect:

The risk: Leaders may have no idea how deeply it’s already embedded in their workflows.

Question for leaders:
Do you think your teams are fully transparent about their AI use or is Shadow AI already part of your daily operations?

Why? Because once employees figure out how AI can make their jobs faster and easier, they won’t wait for company policies to catch up. They’ll just use it.

The reality: Shadow AI is becoming the default for many workers.

If your AI copilot suggests a recursive Lambda, throw your laptop out the window (or at least hit undo).

blog.kochie.io/articles/13...