The News,
Decoded.

Meta hired the co-founders of Virtue AI — Bo Li, Dawn Song and Sanmi Koyejo — into Meta Superintelligence Labs in June. Four months later, per peoplematters.in, it has parted ways with all three, plus other members of the team. A startup called Virtue spent one fiscal quarter inside Meta, which is either a land-speed record or a warning label on the box. The safety team's tenure was shorter than most gym memberships, and considerably more expensive.

A Meta spokesperson told Semafor the arrangement "didn't work out as planned." That sentence has now done service for failed space launches, abandoned mergers and at least one wedding, and it is doing it again — three researchers in and out before the quarterly all-hands could locate a meeting room. Note what survived the cull: Meta Superintelligence Labs "remains committed to work around AI safety, alignment and frontier risk." The commitment is thriving. The commitment requires no salary, no desk, and no awkward conversation about what frontier risk might mean for a company explicitly named after superintelligence.

Four months is a probation period, and the thing apparently on probation was safety. Dawn Song, Bo Li and Sanmi Koyejo are out the door; the press office remains fully staffed. You can hire the alignment people in June, lose them by October, and still issue a statement about frontier risk, because in this industry the statement is the deliverable. Virtue AI managed four months inside Meta — roughly the time it takes to get a security badge reprinted, and about the same amount of paperwork. The commitment survives. The people don't. Everyone involved will describe this as not working out as planned, and everyone will be telling the truth. If you wanted a demonstration of how seriously the industry treats alignment headcount, you now have one, and it cost you nothing but June, July, August and September.

California has passed SB 951, which stacks a new AI-specific layer on top of the Cal/WARN Act and introduces the phrase "technological cessation in hiring." That is HR poetry of a high order: the role didn't die, it simply ceased to be filled, permanently, because a model now handles it for roughly the cost of a rounding error. Do clock the word "permanently" — an employer only triggers the disclosure if the stop is permanent, which is a word with enough room in it to house a family of four. Nobody was replaced. A hiring pipeline was merely retired, with dignity, in a memo.

The mechanics are where it gets properly funny. The state Employment Development Department must publish summaries of AI-displacement notices and deliver a report to the Legislature by January 1, 2028. Summaries, mind — not notices, not headcounts in a searchable spreadsheet, but summaries prepared by the same department that will be writing the report. Then, on January 1, 2029, the reporting mandate sunsets. Sacramento has therefore granted itself roughly one calendar year of actually possessing data before it stops collecting any. The 2028 report will thud onto a desk, be summarised, be published, and be read by nobody with the authority to act, because that authority expires the following New Year.

And consider who does the declaring. The disclosure only exists if an employer chooses to characterise a vanishing role as AI-driven rather than "restructuring," "realignment," or the eternal "we're simply not hiring for that at present." California has built a transparency regime that runs on the honour system, with the EDD as its publishing arm. The displaced worker gets a summary. The employer gets a line item. The state gets a report due in 2028 and a mandate that expires in 2029, which is at least admirably candid about its own shelf life. Cheers to disclosure.

Anthropic will spend $100 million on something called the Claude Frontier Academy, which promises to mint 10,000 'frontier deployed engineers' by the end of 2027. 'Frontier deployed engineer' is a job title that did not exist last week, invented by a marketing department and now carrying a nine-figure budget. Ten thousand of them inside roughly fifteen months is twenty-two a day, weekends and bank holidays included — a target that reads less like a plan than a spreadsheet with a press release stapled to it. The program was 'borne out of Anthropic's work partnering with businesses in implementing Claude', which is corporate for: our customers kept hiring people who could not make the thing go.

Run the numbers and the romance thins further. One hundred million dollars across 10,000 engineers is $10,000 a head — cheaper than a used car, for a role with 'frontier' in the title. And look who actually pays: the recruits come from companies in the Claude Partner Network, so Anthropic writes the curriculum, the partners pick up the payroll, and Anthropic banks the deployment footprint. There is no word on what these freshly certified engineers do once deployment itself is automated, which is, after all, the host industry's entire business model. It is a franchise operation in a fleece gilet, and the franchisees are told they are being 'upskilled'.

Note what is being conceded here. The binding constraint on enterprise AI was never the model — it is the poor soul who has to wire it into a 2009 HR system and explain to compliance why the outputs wander. Anthropic has quietly admitted that labour, not intelligence, is the bottleneck, and answered with a training academy. So the safety lab and the staffing agency now share a logo, and ten thousand certified Claude-whisperers will be in post by 2027. Not one of them will be told what the next model does.

The Bureau of Labor Statistics has delivered September's US jobs numbers and the verdict is in: employment stagnant, wages lagging, and 4.5 million people working part-time for economic reasons. 'Economic reasons' is the statistician's delicate way of saying they wanted full-time work and got a rotating series of Tuesday afternoons instead. Another 5.8 million have drifted outside the labor force altogether and would, per the count, still quite like a job. The World Socialist Web Site frames the whole business as deepening AI-driven layoffs, which is a bracing thing to read before nine in the morning.

Here is the part the earnings call leaves out. The artificial intelligence is not doing the job; it is the reason the job is being deleted. The corporate turn described in the piece treats AI as 'an instrument for eliminating jobs and intensifying labor' — two services for the price of one, which is exactly the sort of efficiency a shareholder letter can get misty-eyed about. The model writes the memo, the memo writes the reorganisation plan, and nobody in the boardroom has to say the word 'layoff' out loud because the algorithm has already said it in a font.

Meanwhile the wages are, in the technical term, lagging — behind what is never specified, presumably because the honest answer is 'everything, including the AI subscription.' And those 5.8 million people are, in the official vocabulary, outside the labor force, a magnificent piece of bookkeeping that keeps the unemployment rate looking like a garden party. The World Socialist Web Site will tell you this is simply what capital does when it gets a new toy. The Bureau of Labor Statistics will give you the counts and nothing else. Neither of them will tell you when the promised productivity gains arrive, because they never arrive. The jobs, on the other hand, arrive at the exit every single quarter.

An 'AI-first IRS' is what Frank Bisignano, the agency's chief executive, pitched to staff on Wednesday, which is the sort of phrase that sounds like a strategy right up until you recall that this particular agency has already shed more than a quarter of its headcount. Tens of thousands of jobs went last year under prior leadership, and 'prior leadership' is doing an enormous amount of quiet lifting in that sentence. Now the people still standing are being told that artificial intelligence will make them more productive — which, translated out of consultancy, means each of them will be doing the work of the colleagues who were shown the door. Congratulations on the promotion to load-bearing.

The hiring figures are the real punchline. The IRS fell short of its hiring goals for this year's filing season and managed slightly more than 4,000 hires — a rounding error against the tens of thousands who left. So the recruitment pipeline sputters, and the institutional answer is not to fix the pipeline but to rebrand the shortfall as modernity and call it a roadmap. 'AI-first' implies there's a well-resourced second and third; the evidence suggests first is the model, second is the remaining staff, and third is a hold message. You cannot train auditors by press release, but you can absolutely announce an 'AI-first' anything and get the same headline.

And who audits the machine? The same government that cannot staff a filing-season phone line. An agency processing returns with fewer humans and more models offers taxpayers an appeal route of roughly zero metres, staffed by a chatbot that is confident and wrong in equal measure. 'More productive' will be measured in headcount removed, not work done, and the AI-first IRS will be first at exactly one thing: deciding things at scale about people who have nowhere to take it. The all-staff meeting was Wednesday. Next April is not a metaphor.

New York has decided that the way to save journalism is to make newsrooms slap a label on anything a machine wrote, which is the regulatory equivalent of putting a 'contains nuts' sticker on a single peanut and calling it consumer protection. As governing.com reports, the bill declares that government 'has a strong interest in the preservation of human news work' — a sentence assembled by someone who has never met a newsroom and wants you to know it. It also asserts an urgent need to prevent news companies from using AI at the expense of newsroom employment, which is the sort of urgency usually reserved for matters that might actually happen.

The piece itself calls the whole exercise a misguided mandate, and fair enough, but do admire the legislative metabolism on display. More than 1,200 AI-related bills landed in 2025, and more than 1,500 further measures arrived by March of this year's sessions — a conveyor belt of earnest drafting on which almost nothing becomes law but everyone gets a press release. California has already gone down this road with its robo-boss ban, and New York is now taking its turn at the lectern. Somewhere in a committee room, an unread stack of text is quietly becoming precedent.

Here's the part nobody labels: a sticker announcing the copy was machine-generated tells you nothing about whether it's accurate, whether a human checked it, or whether the byline belongs to a person at all. The actual displacement in newsrooms will be settled by ad yields and quarterly targets, not by a clause in a state statute. Government 'has a strong interest in the preservation of human news work' — charming — but interest doesn't make payroll. The labels are coming; whether the jobs they are meant to protect survive the same quarter is, as ever, somebody else's slide deck.

Gavin Newsom has signed a law banning AI 'robo bosses' — the scare quotes are in the source, which tells you how much drafting time went into the name versus the mechanism. CNBC calls it landmark, and says California businesses will be the first to navigate a regulatory framework establishing a largely unprecedented level of oversight over workplace AI use. Largely. Unprecedented. Oversight. Three hedges holding hands in one sentence, which is what happens when nobody can yet say which algorithm counts as the boss.

The excerpt is lavish with adjectives and silent on the parts that matter: no fine, no commencement date, no headcount, no definition of what a robo boss does when it decides you are surplus. The supporting cast is more instructive. New York became the first state to enact a ban on construction of new AI data centres — a cap on buildings, enacted in a state that would quite like to keep the lights on. Illinois' Public Act 103-0804 requires employers to notify workers when they use AI for a set of specified employment purposes, which is disclosure as performance art: the model still makes the call, it simply signs the note afterwards. Notification is the regulatory equivalent of a firm handshake.

So the map is drawn: one state bans the data centres, one state bans the boss, one state bans the silence. California gets to be first — though first at what remains, on this excerpt, a matter of interpretation. The genuinely unprecedented thing about workplace AI is that it arrives with no shift change, no notice period, and no human to appeal to; a law banning a cartoon called 'robo boss' does not obviously touch any of that. Somewhere in Sacramento a staffer is now drafting the definition of 'boss', which should take until roughly the next election. Landmark, they said. It is certainly a landmark in the sense that you can see it from a long way off, and it does not appear to be attached to anything.

PwC has surveyed the workforce and discovered a divide, which is rather like a meteorologist discovering rain. The poll, released Tuesday, finds a 'wide range of AI proficiency among workers,' with the biggest single cohort reporting that they are falling behind their more tech-savvy colleagues. So the modal respondent in a PwC survey is now the one losing. That is not a divide; that is a verdict with a chart stapled to it, and it arrived just in time for someone to sell you the bridge across it.

Pete Brown, PwC's Global Workforce leader, warns of 'a real risk that the global workforce is starting to move at different speeds.' Global Workforce leader — a title that assumes somebody, somewhere, is following. And the diagnosis is speed, because speed is blameless: nobody is being left behind, they are merely travelling at a different velocity through the same economy. Mr Brown's phrasing does a great deal of quiet work. If the workforce is simply moving at 'different speeds,' then no employer decided anything, no budget was reallocated, and no consultant ever billed an hour for the transformation that made the speeds differ.

Note what the release actually offers: a 'wide range,' a 'biggest cohort,' a 'different speeds.' Adjectives where the numbers should be — fitting, really, since the thing being measured is proficiency, and proficiency is precisely what nobody can audit. The 'more tech-savvy colleagues,' meanwhile, worked out that a chatbot is a typing pool with a personality, and they are now rewarded for the same job with more flair. Everyone else is told they are 'upskilling,' which is corporate for 'please resubmit yourself by Friday.' The article doesn't say that. The article doesn't say much. And it still reads like a warning label with the dosage left off. A workforce moving at different speeds is not a risk, Mr Brown — it's a results table, and the biggest cohort has already read it.

Disney is shedding 'a couple of hundred' staff, largely in tech and HR — though the headline rounds cheerfully up to 'Hundreds Impacted', because why settle for an accurate number when a roomier one is free. It is the third lot of cuts this year and, encouragingly, a smaller one than the two previous rounds, which is the corporate equivalent of a slow puncture you've decided to call tyre maintenance. Disney Entertainment Television is not affected, we're told, so the people who make the shows are fine and the people who keep the servers humming and the contracts filed are being thanked for their service. Everyone can relax knowing exactly which Disney division is load-bearing.

There is a particular elegance to cutting HR: you cannot slim down a department whose whole function is processing departures without first subtracting some of it, so the maths is grimly self-consistent. Technology is the other target, which is where the money is supposedly going — less payroll in tech this year, more budget for the AI that is going to do the tech next year. Somewhere a memo about 'streamlining' is being drafted and will be signed by somebody whose own position was never remotely in question. Nobody calls it a layoff, naturally; it's a staff reduction, a realignment, a smaller number than last time.

Eleven million was the forecast; a couple of hundred is the deposit. And notice which division escaped untouched — the one that makes the things people actually watch. Everything else at Disney is apparently a rounding error with a Slack channel.

Workday has filed a securities disclosure on a Tuesday — because why ruin a Monday — announcing that approximately 2.5% of its workforce is being shown the door, mostly from the product and technology team. This is round two this year, following about 400 departures in February, so we are now firmly in the quarterly-tidy phase of corporate life. The official reason is to 'better align team structures with Workday's strategic growth priorities', a sentence with the structural integrity of a wet paper bag. More than 21,000 employees at the end of January, and the alignment apparently requires a small, tasteful, filing-compliant trim every few months.

The fun part is the headline's 'SaaSpocalypse', which suggests software-as-a-service has met some grand existential reckoning. Except in February, Workday did not cite AI as the catalyst either. So we are left with the slightly awkward position that machine intelligence may be eating the SaaS business model somewhere far off, while the actual paperwork at a 21,000-person HR software company reads like plain cost discipline. Workers keep telling pollsters they have record-low confidence, which is not hysteria when the mechanism is '2.5% now, see you next quarter.'

What is genuinely charming is the filing's total absence of drama. No restructuring bonanza, no 'bold new chapter', just a percentage and a team name. Twenty-one thousand minus two and a half percent is a figure nobody will print, because percentages are how companies keep headcounts abstract. Workday sells human capital management software, which means it is, at this very moment, trimming the people whose job involves processing other companies' trims — the ouroboros of enterprise HR, ticking away in a document filed before anyone's coffee had gone cold.

McKinsey & Co. released research on Tuesday estimating that 11 million American workers — 6.5% of the current labour force — 'might have to jump into entirely different occupations' by 2035. Jump. As in, a jaunty little hop, presumably with a landing roll and a LinkedIn post at the end. The phrase 'might have to' is doing the work of a firm paid handsomely to describe a cliff as a launchpad, and 'entirely different occupations' is what you write when you cannot bring yourself to use the word 'scrapped'. The research comes courtesy of McKinsey & Co., whose own occupations are not, it is fair to say, in question.

The arithmetic is a masterclass in ledger-balancing. Automation could cut labour demand by 36 million jobs; growth in AI-related fields and the broader economy could generate demand for 40 million. Net plus four million! Everyone's fine! It is the consultancy equivalent of declaring the average temperature of the operating theatre perfectly comfortable while one patient is on fire and another is in the freezer. One of those numbers is a projection, the other arrives labelled a 'base estimate', and the 11 million stuck in the middle are people with mortgages and a Tuesday.

And 2035 is a lovely piece of scheduling: three elections away, comfortably past the point at which anyone currently making these decisions will be asked about them. It is the same move we flagged when employee confidence hit its record low — the anxiety lands now, the retraining lands later, the accountability lands never. Six and a half per cent of the workforce being politely invited to become something else is not a transition. It is a shrug with a slide deck, and McKinsey's slides are, to be fair, immaculate.

Workers have 'a lot to be anxious about,' according to a new report, which is the most cheerful sentence in economics this quarter. Record-low employee confidence, the rapid development of AI, layoffs, and policy uncertainty: a four-course tasting menu, and nobody gets to leave the table. The headline pairs all of that with a dropping Trump approval rating, because nothing reassures a household quite like two separate line graphs both heading south. And the traditional escape hatch — finding a better job on the open market — is reported as blocked by 'slow hiring,' which is the genteel term for a door that has been quietly welded shut.

The report's diagnosis of 'slow hiring' is a lovely euphemism for employers discovering that a nervous workforce is a compliant one. Why pay for retention when anxiety does it for free? Workers are described as 'sitting tight and stewing,' a phrase vivid enough to be a business model: keep them in the chair, keep them frightened, and let the AI roadmap handle the negotiating. 'Policy uncertainty' does the rest of the work, a phrase that means the rules might change and therefore nobody should expect anything. Record-low confidence is, at least, a record — the sector has been promising us unprecedented things for years.

The AI part deserves its own stall, naturally. 'Rapid development' gets listed alongside layoffs as though it were weather — a thing that happens to you rather than a thing somebody decided to buy and deploy. The excerpt names no lab, no deployment schedule, no one who signed off, which suits everybody holding a cap table. So: anxious workers, hiring gone quiet, confidence at a record low, approval ratings sliding, and a technology sold as a productivity miracle. At least 'sitting tight and stewing' is accurate — most of us just call it Wednesday.

Oracle has finally found the AI business model: borrow billions for the data centres, then send the invoice to the payroll department. Formal. Corporate. Admission. Three words no vendor has volunteered in the same sentence as its own roadmap since the first chatbot invented a case citation.

Meta, not to be outdone, shed approximately 10,400 workers through August, including 8,000 in a single May cull 'framed internally as freeing up resources for AI initiatives.' Framed internally — one pictures the all-hands: a slide, a stock photo of a robotic hand brushing a human one, and a business partner explaining that your desk is now a GPU rack and isn't that marvellous. The running tech total has topped 225,000, a figure large enough to require its own water utility and its own slowly curdling resentment. The press release, presumably, calls it focus.

What's exquisite is the chronology. For three years the industry line was augment, enhance, create — the 'we're hiring, actually' era, complete with a blog post and a head of responsible something-or-other. Now the debt on the compute comes due and the only line item with a soft edge is the one with your name on it. Oracle borrowed billions; the repayment plan is denominated in severance. And the article's phrase of choice — 'at scale' — is doing the honest work at last, because one redundancy is a restructuring and 225,000 is an admission. Give it a year and someone in a polo shirt will call it 'AI-native headcount' without flinching.

There is a particular genius to the word 'restructures'. So: fewer people, more GPUs. The 21,000 are presumably being thanked for their contributions to a transformation they will not be attending. Call it a 13% restructuring if you prefer; the lease signed on the strength of a payslip has a shorter word for it.

The response has been suitably proportionate. Oracle and 21 other firms reportedly face a hiring freeze at the Indian Institutes of Technology after reneging on job offers made to students. Note the mechanism. No regulator issued a fine; no court found a breach of anything enforceable. The punishment for withdrawing an offer from a twenty-two-year-old is that the campus placement committee stops taking your calls — which is, in fairness, more than most labour ministries have managed in a decade, which is a low bar and yet here we are.

As for the students, IIT placement teams are helping the way an airline helps you when it cancels your flight: by sharing your CV with companies that already recruit from the campuses, which is a warm gesture and roughly the professional equivalent of being regifted at Christmas. Meanwhile the remaining 141,000 Oracle employees can look forward to absorbing the work of the departed, on the AI and data-centre infrastructure that apparently justified the savings. Somewhere a slide calls this investing in the future. The withdrawn offers were, one assumes, meant to be part of that future as well.

So Shopify trimmed 500 jobs in a quarter when revenue grew 30%, which is the corporate equivalent of winning the lottery and firing the gardener to celebrate. Revenue up nearly a third and the headcount still went down — the tidy explanation is 'efficiency', the honest one is that the company found out it could grow without you. This is the sequel to the split labour market we flagged earlier this month, only now the mechanism is clearer: AI's employment impact doesn't have to arrive as a dramatic layoff announcement. It arrives as flat headcount, a hiring freeze nobody announces, and a graduate with a master's degree refreshing a job board.

Yahoo Finance Canada reckons 31% of Canadian workers sit in roles with similar AI exposure — a third of the country quietly auditioning for redundancy without being told the audition is happening. And the tell is already in the numbers: August 2026 data puts Canada's youth unemployment at 12.9% against 6.4% overall, which is not a rounding error, it is a generation getting its first professional experience in a queue. Entry-level work was always the apprenticeship of the knowledge economy; it was also, inconveniently, the easiest thing to automate and the cheapest thing to stop hiring.

'Flat headcount' is the new phrase to watch, and it deserves a moment of appreciation as corporate language: it sounds like a plateau, a pause, something you might resume later, rather than 500 people at a company that posted 30% revenue growth deciding they were optional. Shopify gets a share price; the 500 get a LinkedIn post about being humbled and excited for the next chapter. And the 31% of Canadian workers with similar exposure keep turning up every day unsure whether they're essential or simply not yet expensive enough to cut. That's the trend, apparently: revenue up, headcount flat, and one more graduate checking a phone that isn't ringing.

Oh good, Maryland has a plan, and the plan is a list of adjectives. Gov. Wes Moore's office announced that the state's AI safety policies 'will be guided by three principles' — protecting citizens' rights, safety and democracy — which is the regulatory equivalent of a bumper sticker. Note the verb: guided. Nobody is fined, bound, audited or, heaven forfend, inconvenienced. Guidance is what you offer a canoe. Rights, safety and democracy, in that order, which quietly tells you which one gets the smallest budget.

Then there's the labour half, and it's a beauty: workers 'deserve a voice in how AI impacts workers,' so the administration will create a standing labour-management committee to work with unions on the state workforce. Standing. It will stand for ages, presumably in a room with a whiteboard and a very patient agenda. Unions will be consulted, and consulted is not the same as obeyed, though it does generate lovely minutes. Meanwhile the actual AI tools already humming through state agencies will keep humming on whatever timetable the vendor's account manager fancies, because committees do not ship software and procurement does not wait for the minutes to be ratified.

And for the schoolchildren, legislators 'will work with' the Department of Education on protocols for the AI tools students interact with at school — a sentence written entirely in the future tense, which is where all the safest promises live. It is a refreshing contrast to Sen. Dave McCormick's preference that Washington keep its hands off the wheel entirely. Maryland has gallantly volunteered to grip the wheel. Whether the wheel is attached to anything, or whether the state has merely entered into a long-term relationship with the word 'will', remains a matter for a future standing committee.

Software pay in AI-exposed roles has risen 46% since 2021, which Yahoo Finance presents as the good news, and so it is — provided you are one of the survivors doing the collecting. Senior postings have soared while entry-level slots have collapsed. The trade hasn't handed anyone a raise so much as narrowed the doorway and started charging admission. Microsoft and Meta are named as leading the shift, which is a little like being named as leading the queue for the lifeboats.

The phrase to savour here is 'AI-exposed roles', a small monument of HR poetry meaning jobs a model can already do badly enough to be worth the electricity. Pay climbs 46% precisely because the people left are no longer writing the code — they are supervising the thing that writes it, and supervising a confident autocomplete across a codebase is a job with a genuine ulcer attached. You don't get a premium for being good at software any more; you get a premium for being the last human in the room when it ships. Microsoft and Meta are 'leading the shift', which in practice means leading the dismantling of the rung directly beneath them, then charging more for the view from the top.

And the graduates? There aren't any yet, because the entry-level slot — that antechamber where you learned the trade by being mildly useless at a manageable salary — has been automated out of existence and described in a press release as 'efficiency'. Every industry that quietly removes its bottom rung discovers, roughly a decade later, that it has also removed its middle, which is where the 46% is coming from in the first place: a hazard bonus for the people still standing next to the machinery. Somewhere tonight a chief people officer is drafting the phrase 'flatter, more senior organisation' and feeling quietly magnificent about it.

India's top five IT firms have shed nearly 7,000 jobs in fiscal year 2026, reversing earlier expansions — which is what happens when a business model built on cheap graduate labour discovers something cheaper than graduate labour. For two decades these firms were the country's most reliable escalator: engineering degree in, salary out. Now the escalator has been rebranded a 'workforce model reshaped around new technologies,' which is corporate for something that looks wonderful on a slide and rather worse in a household budget. And the freshers — the industry's own term for its entry-level intake, a word that tells you exactly how much romance there is in the pipeline — are being hired more slowly.

The explainer's title asks why India's workforce is in flux. The excerpt's answer is that AI assistants are taking on routine tasks, and that companies are reshaping workforce models around new technologies — two clauses that translate, roughly, as 'the work didn't disappear, the worker did.' Nearly 7,000 jobs is not a bloodbath; it is a proof of concept, and proof of concepts have a habit of graduating into full deployments. The only people genuinely in flux are the ones who were told, at eighteen, that this was the safe option, and who are now discovering that the safe option was a temporary staffing arrangement.

The timing deserves a round of applause. Nearly 7,000 reductions land inside fiscal year 2026, which means the top five still have months either to call this a one-off or to settle into a quarterly rhythm of announcements. Note what the explainer format implies: the piece exists because the trend is now a question people ask, not a prediction analysts float. These firms spent years assuring investors that headcount was a proxy for growth. They have now quietly amended the definition, and the amendment was unveiled not in an earnings call but in an explainer about why India's workforce is in flux. Passing the buck to 'new technologies' is elegant: technologies don't give interviews.

The OECD has surveyed 6,047 firms across six countries and arrived at a number that ought to be read aloud in a committee room, ideally by someone holding a gavel: 67% of American firms use software to sanction underperforming staff, against 4% in the four European countries surveyed. That is not a gap, it's a canyon with a gift shop. The OECD, admirably deadpan, attributes the difference to "regulatory architecture" — which is Brussels-speak for "the Europeans wrote something down and the Americans wrote a bonus package."

The AI Act, that majestic doorstop of a regulation, was drafted to civilise artificial intelligence. Excellent news, then, that it turns out to be a nightclub with a very strict guest list. The OECD's own caveat is that most of these sanctioning tools aren't AI at all, which means the machinery quietly deciding who gets a stern email and who gets shown the door sits just outside the velvet rope, entirely unbothered. You were not managed by an algorithm after all. You were managed by a spreadsheet, a dashboard, and a manager who has outsourced the unpleasant bit. The algorithm was merely the vibe.

The genuinely impressive part is the efficiency of the blind spot. Nobody had to lobby for it. Nobody had to water anything down. The law simply defined its subject narrowly enough — AI, and only AI, and only in the ways we enumerated — that a great deal of workplace surveillance now happens in the linguistic gap between what the technology is called and what it does. Six thousand and forty-seven firms, six countries, one lesson: legislate against a noun, and the industry will cheerfully change the noun. Next quarter's procurement deck will say "analytics." The workers will still be sanctioned. The architecture, as ever, holds.

IBM's Institute for Business Value asked 1,500 CHROs and 8,800 employees around the world how things were going, and the answer — delivered by press release — is that 60% of employees believe AI is eroding their skills, with critical thinking topping the decay chart. IBM's chosen headline for this is 'AI Puts Critical Thinking at the Center of Workforce Priorities,' which is a bit like a fox announcing that chickens have been promoted to the centre of the farmyard's strategic vision. Full marks for nerve. Ten thousand three hundred respondents between them, and IBM's press office still found the upbeat angle.

The CHROs, meanwhile, were asked what matters most, and 57% said critical thinking while 48% said human judgment. Read that second number again: fewer than half of the people professionally responsible for the human side of the enterprise ranked human judgment in the top tier. One wonders what they did pick. Prompt engineering, most likely.

The remedy, if the genre holds, will be a learning module: 8,800 people surveyed, one dashboard produced, one compliance badge at the end of it. Nobody in the release is quoted saying the obvious thing — that a tool which erodes the very thinking it is meant to support is an expensive way to get worse at your job — because that sentence does not survive legal review. So we get 'priorities' instead. IBM will sell you the AI, study what it did to your head, and publish the findings as thought leadership. Critical thinking was last seen heading for the exit, and the exit now has a focus group.