AI is a cognitive industrial revolution - a steam engine for the mind

If you treat AI like just another piece of software, you'll be late. AI changes how work is divided - not only the tools we use.

The industrial revolution parallel (why the change is broad-based)

The industrial revolution didn't win because one machine was cool. It won because production became cheaper and more standardized. AI does the same for knowledge work: it reduces the cost of routine analysis, writing, and structuring.

• In the past, knowledge work was expensive because it required time and people.
• Now you can do the same work faster (often with a better first draft) - if you have a clear process.
• The advantage compounds: each improved workflow makes the next improvement easier.

Which roles change first (support, sales, ops)

The first roles affected are those where work is task-based and repetitive.

• Customer support: recurring questions, categorization, first replies, escalation.
• Sales: proposal drafts, objection handling frameworks, follow-up automation.
• Operations: documents, reports, process descriptions, quality-control checklists.

Important: AI doesn't replace a person end-to-end. It removes parts of the work and pushes the human's value higher: decisions, relationships, quality control.

How work gets reallocated between humans and AI

The best model for an SME: AI produces 70% of the draft, the human does 30% of the decision and control.

• Define the input: what information must always be present (forms, CRM, email fields).
• Define the output: format, tone, and action (send, log, create a task).
• Add checkpoints: when does a human approve, when does the system escalate?
• Learn from edits: improvements go into a playbook instead of staying in one person's head.

If you design work so that AI is a "worker" instead of a "toy", you get a real productivity leap.