What Taken get right about AI

"What I do have are a very particular set of skills. Skills I have acquired over a very long career. Skills that make me a nightmare. "

Two sentences and two very important themes: Skills and Long Career. Liam Neeson as Bryan Mills says it to a stranger on the phone, calm as a man ordering coffee, right before he goes and finds his daughter. It's the most quoted line in the Taken franchise for a reason:

It's not a threat, it's an inventory.

Why is "skill" suddenly the most important word in AI?

In 2026, "skill" is the operative word in AI. We hear the word all the time. It often gets confused with Tools.

Skill is how to do something. Tool is what you use to get the job done. Simply Hammer as the tool and being able to do Carpentry using the hammer as the analogy.

For this post, we are talking about skills.

Every agent framework, every MCP (Model Context Protocol) server, every tool call your assistant makes is now literally labeled a skill. YouTube has thousands of videos come up when you search for AI Skills. Repos are full of skills.

AI agent skills and MCP tooling have moved from niche jargon to what much of the industry now calls the emerging universal standard for how AI systems get work done. Machines have inventories too, built through repetition and specialization, the same way Bryan built his.

Skill as a word for this didn't get chosen by accident. It is a capability acquired, not improvised.

What does Bryan Mills teach us about applying skills alongside AI?

Giving your team more AI skills doesn't replace the skills they already have. It puts a magnifying glass augmenting what they do. Bryan didn't win by having one skill; he won by sequencing several, fast, under pressure.

That's the model for anyone working alongside AI agents and MCP tooling today: no single skill wins alone, and the tools amplify whatever sequence of judgment you already bring to the fight.

As an action movie it is easy to say it was one skill: Fighting. That is not the case as he had 7 critical skills that are pertinent to your use of AI.

They are: Imply, Manipulation, Persuasion, Listening, Observation, Redirection, Execution

Think IMPLORE: How does this map to working with AI?

Imply is a great way of thinking about the skills (domain knowledge) you have that you teach AI to do. Bryan combined his skills implicitly to find his daughter. AI does the same thing and it does this through understanding context.

Manipulation means shaping which MCP servers plug into which agents instead of accepting defaults.

Persuasion gets a room of stakeholders to adopt the architecture.

Listening means understanding what the business actually needs, not just what the ticket says.

Observation means noticing the pattern nobody documented before you point an agent at a workflow.

Redirection, changing course the instant new information arrives, is the skill most organizations lack. AI changes course and adapts quickly.

Execution is the action. Being a doer and not just talking about it (aka Conversation)

None of this is really about the AI at all. The tooling can hold a skill; it can't hold judgment, context, or nerve. Those still belong to the person deciding where to point the tool.

So take inventory. What's your particular set of skills? The ones no MCP server will ever replicate? Bryan found his daughter because he knew exactly what he brought to the fight.

AI is here and will affect most jobs. To end with one more line from the movie to make my point:

"It was always personal to me."

AI is personal, not business. Use the skills from the anagram IMPLORE and AI will be your partner, not adversary.

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