Future of Work LabFuture of WorkLab
FUTURE OF WORK LAB · THE HUMAN SIGNAL

AI at Work

How AI changes day-to-day knowledge work.

← All signals
Demographics & LaborAI at WorkOrganizational Change

Companies are cutting jobs to bet on AI. The ones winning are hiring instead.

In the first half of 2026 about 82% of the world's tech layoffs came from US companies, many cutting staff on the promise that AI would fill the gap, according to a TradingPlatforms report. But the bet keeps misfiring: Ford quietly rehired more than 350 veteran engineers after its AI quality systems could not hold up on their own. The firms actually gaining from AI, PwC and Ramp find, are the ones using it to make their people stronger, and the heaviest AI investors grew their headcount by about 10%.

For youSort your own work into two piles, what you would happily hand to AI, and the harder judgment a company could not quickly rehire. Get visibly better at the second pile. That is the difference between a role that gets cut and one that gets called back.
Source: The Deep View ↗
Organizational ChangeAI at WorkSkills & Reskilling

Managing more people used to mean more power. Now it is controlling your own work.

For years your level, your pay and your standing came from how many people reported to you. As AI takes over the scheduling, reporting and hand-offs that middle managers used to run, companies are keeping fewer managers over bigger teams, and Gartner expects one in five of them to cut more than half of middle-manager roles. So the title on the door now says less about real power than the quiet authority to set your own terms: what you take on, how fast, how you are judged, and when you walk away.

For youYour title is about to say less about your power than it used to. What still counts is control, the workload you set, the deadlines you can move, who sees your results. Write down where you already have that, and defend it harder than the next promotion.
Source: Charter ↗
Human AgencyAI at Work

Stop asking AI for answers. Start letting it question you.

Most of us treat AI like a very fast encyclopedia: we ask, it answers, we move on. The AI researcher Francesca Rossi argues the more valuable move is the opposite, an AI that asks you the hard questions the way a good mentor or a Socratic teacher would. Instead of handing you a tidy conclusion, it asks which values are in tension, who is affected, and what would change your mind, so you leave the conversation thinking more clearly rather than less.

For youAn answer ends your thinking; a good question extends it. Point your AI at a real decision and tell it to ask you five questions before it gives any answer. The questions are usually the part you were missing.
Source: Francesca Rossi ↗
Skills & ReskillingAI at Work

AI can polish your job application, and that is starting to backfire

Job seekers now lean on AI to write their CVs, cover letters and even test answers, and more than half already do. The trouble is that when every application looks equally strong, it stops telling an employer anything, and managers say they are making more hires they regret. Hiring is shifting towards proving you can actually do the work, on the spot, rather than how good your paperwork looks.

For youLet AI tidy your CV if you like. Every other applicant is doing the same. What sets you apart now is one skill you can prove live, in the room, with no help at all. Pick that skill and practise it until an interviewer can see it for themselves.
Source: Bloomberg ↗
Demographics & LaborAI at Work

Work is getting more productive, but the gains are not reaching your pay

American workers are producing more per hour than they have in over twenty years, yet their pay, after inflation, is rising at half that speed, and the share of the economy that goes to workers just hit a record low. So far this is happening before AI has even shown its full effect, which tells you the gains from doing more are flowing to owners, not to the people doing the work. The real question of the next few years is who keeps the value once AI makes each person far more productive.

For youDid you produce more last year than the year before, and did your pay move with it? Where those two drift apart, start naming the value you create out loud at review time. Do it before the story hardens that the machine did the work and the savings belong to the company.
Source: The New York Times ↗
AI at WorkCreative Work

Making a film just got twice as fast, and the crew is smaller for it

Netflix told investors that around 300 of its shows and films already used AI to build crowd scenes, battles and backgrounds that a crew used to make by hand. On one show it produced 17 minutes of finished footage twice as fast and for half the cost. The parts of a production that were pure grind are being handed to AI, which leaves the human job concentrated in taste and story rather than the long hours of manual work.

For youDraw a line through your own work. On one side the craft you would defend, on the other the grind you would gladly hand over. The grind is what AI takes first, so your standing shifts onto taste, the judgment that decides whether the fast, cheap version is any good. This week, practise judging quality in the half you are keeping.
Source: The Verge ↗
AI at WorkOrganizational Change

Say you used AI and your boss may quietly credit the machine, not you

There is a strange new penalty at work: when you admit you used AI, people often assume the AI did the hard part and you did little. Researchers found this can quietly cost workers on reviews, promotions and raises, even when the finished work is strong. The lesson is not to hide the tool, but to be clear about the judgment that was yours, what you decided, changed and threw out.

For youDo not hide the tool. Show the thinking. Whenever you share AI-assisted work, add one plain line about what you decided, changed or threw out. Credit does not follow whoever used the tool. It follows whoever can show the judgment behind the result.
Source: arXiv ↗
Skills & ReskillingAI at Work

The narrow job is splitting open, and the broad one pays more

It used to pay to specialize in one slice of a job, like sourcing candidates or writing ad copy. Now the AI handles the routine parts of those slices, so one person can run the whole cycle from start to finish. The people gaining are the ones who widen out and connect the pieces, not the ones who guard a single narrow task.

For youList the tasks a teammate would have handled for you three years ago, then pick one and learn to do it yourself with AI this month, because the roles next to yours are the ones quietly merging into your own.
Source: The Batch (Andrew Ng) ↗
AI at WorkAI Agents

Your AI is moving out of the chat box and onto your computer

For a couple of years the assistant lived in a chat window and you copied its answers out by hand. OpenAI's new desktop app changes that: it opens your files, controls other apps and the web, and can run on a daily schedule until a job is finished. The useful part is knowing which mode to point it at, everyday office work in one and building software in the other, so you hand it the right kind of task.

For youBefore you let it run, set it to ask permission for each step instead of full access, because the moment it can touch your files and click around your screen, the skill that protects you is deciding what to hand over and checking what it did.
Source: Leon Van Zyl ↗
AI at WorkOrganizational Change

Across very different jobs, AI is moving from helper to doer

In medicine, banking, film, real estate, and software, the same shift is showing up: AI is starting to run core parts of the work, not just assist with them. McKinsey pulled these into a short set of explainers, one per industry, so you can see what is changing in yours rather than guess. Seeing the pattern early is how you decide what to double down on and what to let go.

For youWatch the explainer for your own field this week and write down one task in it that is moving from assist to done, because that single task is where your role either grows around the AI or gets absorbed by it.
Source: McKinsey ↗
AI Coding ToolsAI at Work

You can now build a real website inside Canva, no extra subscription needed

Making even a simple website used to mean paying for a separate website builder, or hiring someone who could. Canva has added a feature that turns a plain description of what you want into a real, working site you can then edit like any other design, inside the same tool many people already use for slides and social posts. The quiet part is the saving: the thing you would have paid a separate subscription for now sits inside one you may already have.

For youBefore you renew or buy another online tool this month, check whether something you already pay for has quietly added the same feature, because more of these tools are folding in jobs that used to need their own subscription.
Source: Canva ↗
AI at WorkSkills & Reskilling

AI is built to sound right, which is not the same as being right

Dan Klein, a Berkeley professor who builds AI systems, explains that today's AI is trained to sound convincing rather than to be correct. That is why it can hand you a confident answer that is quietly wrong, and why smooth writing is no longer proof that the facts under it hold. The skill that keeps its value is not producing the words, which the AI now does well, but being the person who checks whether they are true before they go out.

For youSet one rule this week, that nothing the AI writes for you leaves your hands until you or a second tool has checked the specific facts, names, and numbers in it.
Source: The AI Report ↗
AI at WorkSkills & Reskilling

You can hand off the writing and still sound like yourself

Writing a post or a work update used to mean staring at a blank box until the words came. Now you can point an AI at a few things you have already written, answer a handful of its questions in your own rough words, and have it learn how you actually sound, then draft in that voice for you to trim. The writing gets handed off, but the voice and the choice of what to say stay yours.

For youGive Manus (manus.im, free tier) three things you have written and one messy paragraph of your real opinion, then judge its draft on a single question, does this sound like me, and keep editing until it does.
Source: The Rundown AI ↗
AI AgentsAI at Work

One person can now put a phone assistant on the front desk

Answering calls, screening who is worth your time, and passing the good ones through used to need a receptionist or a paid service. Now a single person can build a voice assistant with no code that picks up the phone, asks callers a few qualifying questions, and forwards the real leads to you. For a freelancer or a tiny business, that is a job you can hand off without hiring.

For youIf calls eat your day, try building a simple call-screening assistant this week using a no-code tool like xAI's Voice Agent Builder, but write the questions it asks yourself, because which callers count is exactly the judgment you do not want to hand over.
Source: xAI ↗
AI at WorkSkills & Reskilling

Piling more instructions on your AI can quietly make it worse

When an AI slips up, the natural fix is to add another rule, then another. One writer who does this for a living found his stack of rules had grown so heavy that a task loaded over eighteen thousand words of instructions before it even started. When he tested a bloated set of good instructions against a short, clean brief, the short brief did the job every time and the padded one failed two runs out of three.

For youOpen the custom instructions or saved rules you have given your AI, cut them back to the few that matter, and re-test one real task, because a smarter AI does not make your old rules smarter.
Source: Nate's Newsletter ↗
AI at WorkSkills & Reskilling

When you build with AI, the skill that pays off is naming exactly what you want

When you ask an AI to build or design something, the result is only as clear as the words you give it. A new free site collects the names of common design pieces so you can point to the exact thing you mean instead of waving at it. It turns 'that bar across the top that does the thing' into a precise term the AI can act on.

For youNext time you ask an AI to make something visual, open the free library at https://namethatui.com/ and grab the real name of the piece you want before you ask. The wider habit worth keeping is that as tools do more of the making, saying precisely what you want becomes the part of the job that stays yours.
Source: Name That UI ↗
Demographics & LaborAI at Work

The bosses who said AI would cut jobs are quietly changing their minds

A year ago, many company leaders were saying AI would let them cut a lot of staff. That prediction is fading fast, with far fewer bosses now expecting big cuts. The fear was easy to announce and is turning out to be hard to deliver.

For youNext time you hear that AI is behind a round of job cuts, pause before you take it at face value. Companies often reach for AI as the tidy explanation when the real drivers are a slow market, past overhiring, or a business already in trouble, because blaming the technology sounds better than naming any of those. Treat AI as one possible cause among several, and look for what else is going on before you believe the headline.
Source: Exponential View ↗
Skills & ReskillingAI at Work

Now that anyone can make things, the rare part is having something worth making

Doing the work used to be the hard part: the skills, the money, the team, the permission. AI is making the doing cheap, so the bottleneck moves to something older, which is having something worth saying. One electrician with no coding background built a small tool that sells for 12.99 dollars and replaces a 500 dollar service call.

For youThink of one thing you have always wanted to make but assumed you lacked the skills for, and start it this weekend with AI handling the parts you cannot. The scarce skill now is not doing but taste, so practice choosing what is worth making, not just how to make it.
Source: a16z ↗
AI at WorkSkills & Reskilling

Stop telling AI what to do, and start asking it what it would do

Most people use AI by giving it an order and taking back whatever it produces. Jack Dorsey, who runs the payments company Block, says he flipped this: he now asks the AI for a few suggestions first, then picks the best one himself. The small change keeps him making the decisions instead of rubber-stamping one answer.

For youOn your next task, ask the AI for three options with their trade-offs instead of one finished answer, then choose. Asking for a menu keeps the judgment in your hands, which is the part worth protecting as the AI gets better at the doing.
Source: Jack Dorsey ↗
Organizational ChangeAI at WorkAI Agents

Your workplace runs on unwritten rules built for a world that is ending

Every team runs on habits nobody chose on purpose: the standing meeting, the sign off chain, the one person everyone checks with. Most of them exist because time, information, or trust used to be scarce, and AI is quietly erasing some of that scarcity. There is a new catch too: if a rule lives only in a senior colleague's head, an AI helper working beside you cannot follow it, so to your tools that rule may as well not exist.

For youTake the one team ritual you quietly resent, ask what shortage it was invented to fix, and check whether that shortage is even still real before you argue to keep or kill it.
Source: Nate's Newsletter ↗