This Week In WorkTWIW
This Week In Work · en-GB

Work is changing.
We write it down.

Question-led essays, a jobs library that did not exist a decade ago, and podcasts that argue properly.

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Has the debate over where we work missed the point entirely?

After half a decade arguing over desks and postcodes, the real battleground has quietly shifted to the clock. Autonomy over hours, rather than geography, is fast becoming the defining metric of workplace freedom.

Are we finally managing capabilities rather than job titles?

Static job descriptions are buckling under the weight of rapid technological diffusion. In their place emerges an agile model that prizes skills, agency, and orchestration above all else.

Why does every technological leap wait for the floorplan to change?

Groundbreaking technology rarely pays off while squeezed into pre-existing workflows. True productivity surges only after organisations redesign how work actually moves.

What happens when the technology outpaces the organisation?

Software agents are scaling at astonishing rates across enterprises. Yet the real barrier to value is no longer the code, but our structural ability to adapt.

Who will conduct the autonomous orchestra?

As routine execution shifts toward software agents, human labour is pivoting from doing to directing. A new generation of workplace orchestrators is quietly taking the reins.

Did the electric motor already solve our diffusion puzzle?

A century ago, factories gained little from steam-to-electric conversions until they rebuilt the factory floor. Today's artificial intelligence pause follows the exact same arc.

What does this AI spend picture mean for work in 2026?

Paid AI is mainstream. Intensity is uneven. Hiring follows the heavy adopters. The next chapter of work is less about demos — more about judgement, controls, and redesign.

What does good AI control look like at this spend?

When two labs take most token dollars and median firms still buy seats, compliance cannot be a binder. It has to ride the invoice and the identity graph.

Is shadow AI the real risk behind the Ramp numbers?

Paid spend understates workplace AI. Free tools and personal accounts sit outside the ledger — which is exactly where governance usually fails.

Who is paying for all these tokens — and what does that buy?

Median firms spend about the price of a chat seat. The top 1% spend thousands per employee. Cost discipline is rising even as the invoice stays.

What does Ramp’s token spend really say about AI at work?

Anthropic and OpenAI take nearly all paid token spend in Ramp’s latest week. The real story is not the logo war — it is how uneven intensity has become.

Who is actually running your Tuesday?

Agents write the first draft. Managers still own the risk. The week is being quietly reassigned — and most orgs have not redrawn the org chart.

What if AI is creating more jobs than it kills?

Prompt engineers were the punchline. Then came evaluation leads, forward-deployed engineers, and people whose entire job is keeping agents honest. The upside is hiring.

What did the last machine age teach us about this one?

Factories did not just automate muscle. They rewrote time, skill, and status. The pattern is familiar — if we bother to look.

Ask Work — hard questions, short answers

100+ hard questions about work and tech-at-work — digital skills, balanced AI, future of work, fun, and retro office. Tip of the hat to Jack Schofield Ask.

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