Automate and improve your own work with AI, and show what it changed.

The tools that earn their place in a working day, the habits that make them reliable, and how your role changes as AI joins the workflow.

Explain · Apply · Debate
In this section
Learning areaApplied AI at Work
FormatsExplain · Apply · Debate
The testWhat changed, and can you prove it?
Take the AI at Work Scorecard

Every tool is judged on your working day, not on the demo.

Most AI tools demo well and change nothing. I test each one on what it changes in a normal working day, and on how it changes the value of the role you hold.

Find the topics closest to the work you and your team do every day.

01

AI in your job

Where AI saves you real time from day to day, and where it quietly creates more work than it saves.

02

Tools that earn their place

Side-by-side verdicts on the AI tools people shortlist, judged on weeks of real use rather than a launch demo.

03

Your own workflows

How individual tools combine into a setup that still holds up when real deadlines arrive.

04

Getting a tool used

How to get a new tool used by a team, well past the first enthusiastic fortnight.

05

AI capability

How to become AI-capable in the role you hold without pretending to be an AI specialist.

06

How roles change

Which skills hold their value as AI takes on more of the work, and how to show what AI changed in yours.

Aim to be AI-capable in the role you have, not an AI specialist.

For most experienced professionals, the strongest position pairs the judgement you already have with working AI fluency.

Craft and judgement →
The shortest high-value move
Early craft · Low AI
At risk

Routine work with no AI fluency behind it — the first place automation reaches.

Early craft · AI-capable
Tool-fluent

Quick with the tools but thin on judgement. Useful today, and easy to substitute tomorrow.

Deep craft · Low AI
Deep but exposed

Real expertise that is quietly losing ground as AI-capable peers move faster with the same knowledge.

The targetDeep craft · AI-capable
The high ground

Your existing depth, amplified by working AI fluency. This is where the value is concentrating.

Practical AI capability →
Beyond the right edge sits the AI-specialist track — model building and research. That is a different career, not the price of staying relevant. Practical fluency plus the judgement you already have is the stronger position for almost everyone.

See which skills are gaining value and which are losing it.

Employers expect 39% of core skills to change by 2030. Each figure below is its named source's own finding.

AI and big dataThe fastest-growing skill to 2030 — over 90% of employers in the top ten industries expect to need more of it.WEF · Future of Jobs 2025
Networks and cybersecurityThe second-fastest-growing skill to 2030, right behind AI itself.WEF · Future of Jobs 2025
AI fluency at hiring time66% of leaders say they would not hire someone without AI skills.Microsoft–LinkedIn · WTI 2024
Reviewing AI output66% of developers now spend more time fixing “almost-right” AI-generated code. Checking the machine is becoming part of the job.Stack Overflow · 2025 survey
Leadership and social influenceThe biggest jump in core-skill importance since 2023 — up 22 percentage points.WEF · Future of Jobs 2025
Gaining value ↑Losing value ↓
Experience without AI fluency71% of leaders would hire a less experienced candidate with AI skills over a more experienced one without them.Microsoft–LinkedIn · WTI 2024
Blind trust in AI outputDeveloper trust in AI accuracy has fallen to 33%, with 46% now actively distrusting it.Stack Overflow · 2025 survey
Manual dexterity and precisionThe first net decline in the report’s history — 24% of employers expect it to matter less.WEF · Future of Jobs 2025
Reading, writing and mathematicsAmong the few skills where employers project demand falling rather than growing.WEF · Future of Jobs 2025

Work through your own workflow with me, one to one.

A free discovery call on what you want to automate or improve in your own work, and which one-to-one format fits it.

Take the AI at Work Scorecard