One of the most dangerous misunderstandings I hear is:
“AI means we don’t need programming anymore.”
The opposite is true.
We need more programming literacy—just a different kind.
AI doesn’t replace logic, structure, or clarity. It amplifies them. When an AI tool “writes code” for you, what it’s really doing is translating your intent into something executable. If your intent is vague, messy, or logically broken, the output will be too.
MSPs already see this in practice:
- A poorly described Power Automate flow that works once and then quietly breaks.
- An AI-generated script that technically runs but makes unsafe assumptions.
- A Copilot prompt that looks clever but produces useless business output.
The common issue isn’t the tool. It’s the thinking behind the instructions.
Understanding basic concepts—inputs, outputs, conditions, loops, exceptions—has never been more important. The difference now is you don’t need to memorise syntax. You need to think clearly and explain cleanly.
This Is a Business Advantage, Not a Technical Party Trick
Here’s where many MSPs miss the opportunity.
They see AI-assisted “programming” as something clever techs play with internally. In reality, it’s fast becoming a deliverable business capability.
Think about your SMB clients:
- They know their processes are inefficient.
- They can explain what they want, but not how to build it.
- They don’t want a six‑month dev project for a simple workflow problem.
An MSP that can sit with a client, map a process in plain English, and turn it into an automated solution is no longer just “support”. You’re helping redesign how the business operates.
And the simplicity is the point.
A one‑page English description that becomes:
- A ticket triage workflow
- An onboarding checklist generator
- A management report assembler
- A light internal chatbot using their own documents
None of that needs hardcore development skills anymore—but all of it still needs structured thinking.
Your Team Doesn’t Need Coding Skills – They Need Programming Awareness
This is where MSP leaders need to be deliberate.
You don’t suddenly need Python experts across your service desk. What you do need is:
- Staff who can break problems into steps
- People who can explain outcomes unambiguously
- A shared understanding of how logic flows
If your team can already document SOPs well, they are halfway there.
I’ve seen MSPs get real value by:
- Treating AI prompts like mini specifications, not chat questions
- Reviewing AI-generated automations as a team, not blindly deploying them
- Teaching junior staff how to describe a problem, not just which tool to click
Those are capability investments, not tool training.
The MSPs Who Win Will Treat This as a Core Skill
We’ve crossed a line. Programming is no longer gated by language barriers—it’s gated by thinking quality.
That changes what “technical literacy” means for MSPs.
The firms that thrive over the next few years won’t be the ones chasing every new AI tool. They’ll be the ones that:
- Build strong internal habits around logical thinking
- Help clients translate business problems into clear instructions
- Package simple automation as repeatable, billable outcomes
If English is now the language of code, the question is simple:
Are you teaching your people how to speak it clearly—or assuming the tools will do that for them?
That’s a strategic choice every MSP leader needs to make, sooner rather than later.
CIAOPS 