The News,
Decoded.

Axis Bank has looked at its back office and concluded that the future contains fewer of it. BW People reports that the bank's AI push signals slower hiring ahead, with AI-driven productivity gains reducing back-office hiring needs as it shifts towards a 'leaner, technology-enabled workforce.' Leaner. It is always leaner. Nobody ever announces a fatter, more human, fully staffed workforce, because 'leaner' is the word that lets a subtraction wear a cardigan and call itself a strategy. Every bank on the planet is running the same slide right now, and the slide always says the same thing.

Note the mechanism, because the mechanism is the whole trick: productivity gains are reducing hiring needs, not existing headcount. No redundancy announcement, no awkward town hall, no number anyone can put on a placard outside the branch. The back office simply stops refilling the seats, and by the time the arithmetic shows up in a quarterly deck, a hiring freeze has accomplished what an HR department would need three consultation rounds and a lawyer to achieve. 'Technology-enabled' is the other lovely euphemism — it implies the remaining humans have been upgraded, rather than outnumbered by software that never asks about a promotion.

This is how it happens now: not a cliff, a slow tapering. The job advert that never goes up, the graduate intake that quietly contracts, the spreadsheet aptitude that turns out not to be a shield after all. The bank gets to call it a transformation rather than a subtraction, and BW People gets a headline with the word 'signals' in it, which is what we say when something is definitely happening but nobody wants to be quoted saying it. Slower hiring ahead, for the back office first, and for anyone who assumed a commerce degree doubled as a shield. Cheerful. The AI, naturally, doesn't get a performance review.

Splendid news from HR Dive: technology occupation employment grew by 86,000 workers in August, according to CompTIA's analysis of Bureau of Labor Statistics data. CompTIA is a computing industry trade body, which makes this roughly the equivalent of the Tobacco Manufacturers' Association reporting that smoking is up and calling it a growth sector. And then the headline does the heavy lifting: technology employment is growing *despite* tech sector layoffs. Three words, one subclause, one entire rhetorical trick — the layoffs happen to one population, the growth is measured in another, and 'despite' is the glue holding them in the same sentence.

Then there's the demand side: more than 320,000 active job postings requiring AI-related skills in August, a 4.5% month-over-month increase, courtesy of CompTIA's analysis of Lightcast data. A posting is not a hire. A posting is a wish with a salary band attached, sometimes a ghost, occasionally the same wish copy-pasted by six staffing agencies who have found your CV and are very keen to 'align on your journey'. Still, 4.5% is 4.5%, and if you annualise a single month hard enough it becomes a trend, then a narrative, then a keynote with a slide that says 'inflection point'.

Worth noting that this is the very same August we flagged last week, when Challenger, Gray & Christmas were counting bodies and finding AI the leading stated reason for the cull. Two trade bodies, one month, two headlines, both technically true. Whether you are told tech is booming or bleeding depends mostly on which of them has a member base to flatter. The 86,000 are real, presumably, and so are the postings — but nothing in the release says anyone was hired, which is the only number that would have required a follow-up question.

Ah, marvellous. New Zealand's Labour Party has weighed the risk of unaccountable machine intelligence and concluded that the nation's urgent need is... an Office of AI tucked inside the Department of Prime Minister and Cabinet, plus an AI regulator to keep it company. There's something profoundly reassuring about coordinating AI policy across government from the very building where the Prime Minister already doesn't read most of his briefings. The copyright rules are a nice touch, as if the models currently slurping up every Kiwi novel and news article will pause respectfully while a standards working group catches up.

Let's be honest: this is the standard Westminster dance. Announce a coordinator, build a regulating body, commission standards, draft a long-term workforce plan — and by the time the first report lands, the workforce will have been long-term planned out of existence. Labour's plan asks us to believe that a small island nation can regulate general intelligence that a handful of Californian labs will not even pretend to pause. It is the bureaucratic equivalent of installing a speed bump at the top of a cliff.

None of this is uniquely Kiwi, and that is precisely the problem. Every government currently offers the same palliative: a 'framework' here, an 'office' there, a workforce plan somewhere between now and the heat death of the universe. The only genuinely local innovation is timing — promising the regulator as an election sweetener, which means the whole apparatus is contingent on coalition negotiations, select committee hearings, and three rounds of Treasury sign-off, ideally concluding just after the AGI has finished writing the fourth. Still, one must admire Labour's confidence in the interim: they have not yet been elected, but they have already identified the office where the machines will be most comfortable.

Ah, marvellous. Challenger, Gray & Christmas — the corporate obituary-writers who count the bodies — have announced that 2026 is the year AI overtook every other stated excuse for the culling. Their chief revenue officer puts it with all the self-awareness of a press release: "AI is now the leading reason companies give for cutting jobs." Note the verb. "Give." Not "is." Not "demonstrably caused." Companies are handing out AI as the reason the way a Victorian butler hands out calling cards: it looks respectable, costs nothing, and nobody checks whether the guest actually exists.

And the sceptics have done the checking. Gartner's research finds that in the first half of 2025, a glorious one percent of layoffs could be attributed to AI actually increasing productivity. One percent. So the technology that is supposedly now running the entire restructure department is, on the productivity ledger, roughly as disruptive as a mildly efficient spreadsheet add-in. Yet somehow HR departments across tech have developed a sudden, touching faith in algorithmic displacement — a faith conspicuously absent when the claims are about, say, meeting diversity targets or paying suppliers on time.

This is not a capability leap; it is a language leap. AI has become the corporate equivalent of "restructuring for growth" and "synergy realisation" — a phrase that lets a manager fire an entire department and blame the robots instead of the spreadsheet. The worst part is the direction of travel: AI didn't even need to be good to become the leading reason for cuts. It merely needed to be fashionable. In a year or two, when the models are actually competent, the alibi will have hardened into accepted fact, and nobody will bother asking how many of those cuts were ever real. Marvellous. Pass the paracetamol.

Ah, marvellous. A Polish company has sent roughly 30 robots to march outside the digital affairs ministry in Warsaw, demanding stricter AI regulation. Because nothing says "urgent human concern about cognitive displacement" like dispatching wheeled automatons to do your lobbying for you. The organisers want rules in place before AI replaces people in cognitive work — a deadline that presumably reads "soon, but after the photocopying is done." One imagines the robots' placards, if they had them, reading: "Please regulate our creators before they regulate us out of a job." Actually, that's rather sweet, in a doomed sort of way.

One can only admire the Polish government's timing. Officials are reportedly boasting that Poland is the first EU country to introduce oversight of the AI market, which turns out to mean plans for a "Commission for the Development and Security of Artificial Intelligence." Ah yes, the Commission. The time-honoured move of forming a committee to study a problem while the problem studies your workforce. Thirty robots on the pavement is already more decisive action than any commission yet taken — at least they turned up. The commission will presumably hold meetings, produce reports, and eventually conclude that AI is developing, which is exactly the sort of security we can all rely on.

The real joke is the protest's choreography. Robots lobbying for rules that would slow AI adoption is the political equivalent of turkeys campaigning for a longer Christmas, except the turkeys have better PR. Should we applaud the company's stunt as genuine advocacy or file it under performance art for the algorithm age? Either way, the cognitive workers who will be replaced can rest easy: their jobs will be protected by a Commission, a strategy, and a very sincere press release. And when the first cognitive roles are automated away, the robots can always stage a second protest — this time demanding the right to keep the jobs they've inherited from us.

Ah, marvellous. OpenAI has revealed that its most prolific researchers blow through more than $7,000 worth of tokens every single day. Seven thousand. Daily. At that clip, a single busy boffin burns roughly two and a half million a year in pretend compute money — and presumably the researchers are the lucky ones, because they at least get to expense it. One day soon, no doubt, the finance team will have to decide whether an automated research intern counts as a capital asset or just an unusually chatty subscription.

The company then announced it has achieved the goal of an 'automated research intern.' Of course it has: for the price of a midsize mortgage every morning, one should hope your digital minion can fetch papers, file references and say 'yes, good point' in the appropriate places. And the roadmap says a 'fully automated AI researcher' will arrive by March 2028. Ah yes, the target date. Why so precise? Perhaps May 2028 was too far away for a PowerPoint slide, or perhaps because by then nobody left in the building will know what an unaided researcher is. We'll mark the calendar and prepare the commemorative token, with the usual caveat that any slippage will be rebranded as 'ambition-adjusted phasing' rather than a plain old delay.

What nobody should miss is the hierarchy being drawn up here. The intern is automated, the researcher is automated, and the humans are effectively paying $7,000 a day for the privilege of training their successors. Lovely. When March 2028 arrives and machines write all the papers, OpenAI will probably frame the announcement as a breakthrough in efficiency, with humans wisely 'repurposed' to supply the compute and the electricity, and to write the inevitable post-mortem after the automated intern's first unauthorised side project. At least they've built the automation slowly enough that everyone had time to enjoy a nice spreadsheet or two before saying goodbye to the spreadsheets entirely.

Oh, splendid. Lloyds Banking Group is committing £100 million ($135.3m) to 'future skills' — banking's term of art for teaching 67,000 colleagues to smile bravely while the agentic AI they are being trained to deploy quietly rewrites their job descriptions. The programme has been branded the AI Academy and Leading with AI initiative, because nothing says 'we value you' like being reskilled for your own replacement. And they are not even pretending otherwise: the phrase 'agentic AI deployment' sits in the same release as 'responsible AI use', two concepts introduced to each other for the first time at this very party.

The tell-tale phrase is 'agentic AI deployment': the bit where the AI no longer needs you to click the button at all. Meanwhile, 'pathways for young people into work by 2030' is a poetic way of saying the next generation will be trained to manage the AI that manages itself — and will be very lucky indeed if the AI Academy has a few spare places left by then.

Still, credit where it is due — Lloyds is spending the money before the inevitable restructure, which puts it several rungs above rivals who wait until the deluge. The £135.3m American conversion is presumably there to assure investors on both sides of the Atlantic that the bank remains serious about 'future-ready capabilities', a phrase destined for internal slide decks until the day the AI Academy's graduates are declared redundant by the AI Academy's own alumni. One day, presumably, the bank will train its AI to work out whether the return on £100m of reskilling was ever going to beat the return on simply letting the AI do the job. Splendid stuff. Pass the sick bag.

Ah, marvellous. SpaceX, the enterprise that promised to make humans multiplanetary, has found its true calling: casting turbine blades and vanes in a Texas foundry so that data centers can guzzle more electricity. Mezha reports that the company is building the foundry to address a chronic shortage of these components, which has been slowing the rollout of new power plants for AI data centers. The space flagship, in other words, has been downgraded to a glorified ironmonger to keep the chatbots humming. A masterstroke of vertical integration that would make Henry Ford blush, except that the product is not a Tin Lizzie but a conversation with a glorified autocomplete. And this is presented as progress.

One would think that an industry which claims to be on the verge of artificial general intelligence could have anticipated that its power demands might exceed the global supply of cast metal parts. But here we are, with the fundamental constraint on the AI revolution being the price of nickel alloys and the availability of foundry capacity that Birmingham had in 1960. SpaceX's solution is to bring casting in-house, promising to accelerate the deployment of gas turbines by up to 18 months. Eighteen months of additional data center construction, with all its grid strain, water cooling, and emission-flavoured consequences — delivered not by careful energy planning but by a rocket company improvising in the heart of Texas.

The genius of this approach is that it solves yesterday's bottleneck while propelling us into tomorrow's: more power, more turbines, more blades, more AI. The foundry workers will presumably be rewarded with secure jobs until their roles are optimised away by the very systems they helped feed. It's a story as old as the industrial revolution, retold with better stock options. And all along, the regulatory conversation — the one CNN recently described as a "messy scramble" — remains stuck in the mud while private industry builds its own electricity infrastructure with the urgency of a gold rush. One day, perhaps, the turbines will be replaced by fusion power. But that's a different fairy tale. For now, let us raise a glass to the humble foundry, the unsung hero of the intelligence revolution. Cheers, Elon. You've got metal in your teeth.

Ah, marvellous. California's assembly has done something almost radical on Aug. 30: passed AB 1883, a bill that would stop businesses from using AI to peer directly into workers' nervous systems and emotional states. Because apparently in 2026, we need a law to tell employers that reading someone's nervous system and calling it 'engagement analytics' is not a performance review, it's a psychic interrogation without the crystal ball.

The bill now trundles to Gavin Newsom's desk, where he can either sign it or stroke his chin and hear the sound of AI lobbyists loosening their chequebooks. One almost feels a pang of sympathy for the HR tech vendors who just spent a fortune on 'neural engagement metrics' – only for the state to point out, ever so gently, that your brainwaves are not a timesheet. Still, the dark comedy is in the phrasing: the bill 'would limit' businesses' use. It does not ban, it trims; it does not prohibit, it suggests politely. California has given us a velvet rope around the abusive-monitoring section of the AI casino. One can almost hear the wellness coaches rewriting their brochures.

And here is the truly British part: even if Newsom signs it, enforcement will be a ping-pong match between a state full of AI firms and a budget already haunting the fiscal cliff. But at least someone has remembered that the worker is a person with a nervous system, not a source of training data. Let's see how long that lasts once the next employment contract includes a mandatory 'wellness headset.' Cheers, California – you've made the telescreen marginally less telescreen-y, and that's almost enough to order a pint. (But it isn't.)

Ah, marvellous. Business Insider has conducted a sweeping survey of eight (8) tech workers to determine who wins the great AI talent war, and the answer, as with all great epics, is 'it depends on who's signing the cheque.' One philosophically inclined respondent has declined to apply to OpenAI or Anthropic because those labs run on investor capital while the hyperscalers simply shovel money from their already-enormous core businesses into the AI furnace. Eight workers. Eight. You could fit the entire sample in a Clapham omnibus and still have room for the conductor's tea. This is the data-driven talent coverage we deserve.

The worker's observation is the sharpest thing in the piece, and it cuts both ways. Investor capital is fickle, yes, but it is also the only reason the labs can burn billions without a quarterly earnings call from a search monopoly demanding to know why the chatbot isn't yet profitable. The hyperscalers, meanwhile, are so awash in cash from advertising and cloud contracts that they can treat AI as a rounding error — which is precisely how you get a genuinely terrifying product shipped. Dream employers, indeed. One pays you in stock options that may one day be worth something; the other pays you in the quiet knowledge that you're helping a trillion-dollar company defend its moat.

But let's not lose the plot. The real news is that OpenAI and Anthropic are having to fight Big Tech for bodies at all — because in a market where every company claims to be an AI company, the 'dream employer' is whoever can convince you their runway is longest. The article doesn't tell us who's winning, which is probably for the best, because the honest answer is that nobody wins a talent war fought over eight anecdotes. As for the worker who prefers the dull comfort of hyperscaler profits: congratulations, you've identified the one stable job in a gold rush. Now enjoy the nine-to-five while the labs burn through their venture capital and the rest of us wonder when the bubble pops.

Ah, marvellous. The Philippines has signed up for Pax Silica, the U.S.-led initiative to 'strengthen supply chains' for critical minerals, semiconductors and AI — because nothing says strategic sovereignty like naming your industrial policy after a Roman peace enforced by whichever superpower has the larger carrier fleet. In April 2026 the government proposed a 4,000-acre 'AI-native' industrial hub at New Clark City, projected to attract US$40–70 billion and generate more than 130,000 jobs. Extraordinary, if you've never met a development projection before.

Here's the thing about Pax Silica: it's not peace for the Filipino worker, it's peace for the supply chain — the one that lets an American hedge fund short an AI stock while a Filipino technician solders boards in a tax-free zone for a wage that doesn't survive contact with the cost of living. 'AI-native' is marketing's way of saying the hub was born to be outsourced to. We've heard the $40–70 billion arithmetic before, usually from the same consultants who promised that a freeport and a casino would turn a swamp into Singapore. One must admire the chutzpah of naming it after the Pax Romana, as though sealing the Philippines into a silicon tribute network were a favour.

None of this is a knock on a country trying to climb the value chain — good luck to every Filipino who lands one of those 130,000 jobs. But the $40–70 billion range is so wide a government brochure could drive a bulldozer through it, and 'projected' is doing the same work it did for the last five 'AI corridors' that got a ribbon-cutting and a YouTube video. The real question, buried under the Pax Silica branding, is whether the Philippines gets anything more than a shinier dependency — paid to dig minerals, assemble chips and absorb geopolitical heat while the algorithms remain somebody else's idea of peace. Still, if even half the money turns up, that's 130,000 people in work until the machines learn to build the machines.

Ah, marvellous. Forbes has uncovered the latest recruitment miracle: a 19 per cent drop in employment for the 22-to-25 crowd in AI-exposed roles — and not a single redundancy letter was sent. The jobs simply declined to exist. According to the piece, this is 'driven by unposted jobs rather than layoffs' — i.e., a Schrödinger's vacancy, open and closed until you apply, at which point it vanishes. The HR department gets to claim it never fired anyone while structural unemployment does the heavy lifting.

To add insult to injury, the survey of 185 employers reveals that more than a third of entry-level roles now demand AI fluency — nearly triple the figure from six months ago. So the young are instructed: learn the magic incantations or remain outside the castle gates. But the pièce de résistance is the headline: 'We're Hiring A Generation For AI Fluency And We'll Judge Them On Everything Else.' That's corporate doublespeak so refined it deserves an award. Hiring for AI fluency but judging on everything else is not hiring; it's a moving goalpost with a thesaurus. Never mind that 'AI fluency' is a moving target; in six months it will be a precondition for making the tea.

The worst of it is the self-congratulation. 'We'll judge them on everything else' implies a benevolent panel of elders with clipboards, evaluating the youth on their pluck and their willingness to work for 'unposted' positions that exist only as statistical artifacts. Meanwhile, the mechanism of exclusion is silent: no applications, no interviews, no rejections, just a 19 per cent hole where the career ladder used to stand. The first skill AI makes obsolete, it seems, is the job application itself. But never fear — the generation will surely be judged on how gracefully they didn't get hired. One wonders if the same employers demanding AI fluency have any fluency in basic decency, but that would require posting a job opening, and we can't have that. Cheers.

Ah, marvellous. Meta's Project OT — the internal restructuring effort that was going to slim down some teams by as much as 60 per cent — has collapsed under the weight of, well, itself. The second round of cuts has been cancelled, and not because Mark Zuckerberg had a sudden attack of Christmas spirit, but because employees pushed back and internal data began asking the kind of awkward question that ruins boardroom fantasies: is any of this AI actually working? You can practically hear the spreadsheet formulas weeping.

The comedy here is exquisite. Meta's grand ambition was to redeploy armies of engineers into AI nirvana, and the first casualty is the restructuring programme meant to prove it. Sixty per cent — that was the magic number whispered in hushed town halls, the headcount reduction that would supposedly deliver a leaner, meaner, more intelligent Meta. Instead, the initiative has been reduced to a cautionary tale about what happens when you let OKRs outrun reality. Employee opposition didn't just grow; it became a force that made the company flinch, and flinching is not something one normally associates with Menlo Park's more messianic moods.

And the real punchline: the internal data questioning AI productivity gains. After months of insisting that artificial intelligence would make human beings redundant, Meta's own telemetry suggests the miracle tool might be slightly less miraculous than the press releases claimed. This is the same company that has been telling investors about its epochal AI future, and it cannot even convincingly automate the process of making people redundant. The second round of cuts is cancelled, but the ambition hasn't been abandoned — just postponed until the numbers cooperate. The humans, for now, stay. The spreadsheet, however, has learned a valuable lesson about hubris. Now if only we could get someone to audit the auditors.

Ah, marvellous. Fox News has discovered that the AI boom, that great leveller of white-collar ambitions, is now handing out shovels to the blue-collar classes. A "massive infrastructure buildout" across the U.S., we're told, is creating a "blue-collar jobs boom" as demand for data centers and chip plants surges. How heartwarming: after all those years of tech bros promising to automate everything, the least they can do is let the proles build the warehouses where the automation will live. One imagines the construction crews laying fibre and pouring concrete, blissfully unaware that they are erecting the very gallows that will hoist their grandchildren's careers.

The piece is careful to avoid anything so vulgar as an actual figure — how many jobs, which regions, what skills? "Skilled" apparently, and "surges" doing the heavy lifting, as always when a journalist has been handed a trade-association press release and a deadline. Let us not quibble over the fact that a data center construction boom is precisely the kind of boom that ends the moment tax breaks run out, or that chip plants have a nasty habit of getting delayed by geopolitical twitches. The important thing is the vibes: the hottest industry in the world is creating jobs, and the government will surely make sure the electricity grid doesn't collapse when the server racks come online. And the electricity? Ha! The grid will be fine until it isn't, and by then the data centers will be someone else's problem.

Still, one mustn't snipe. The AI sector has finally acknowledged the existence of people who don't write Python, and that's progress of a sort. Those "skilled blue-collar workers" will enjoy a fine run of overtime — until the day the data centers are built, the chips are installed, and the same AI that made this buildout necessary decides it can do their job too. Perhaps we should savour the moment while it lasts: a workforce building the infrastructure that will, in time, render its own skills obsolete. As economic epilogues go, it's almost poetic — a boom powered by the very machines that will one day do the shovelling.

Ah, marvellous. The Josh Bersin Co. has peered into the future and found HR departments of 2030 looking 30% to 50% slimmer, courtesy of AI agents. Presumably those agents will also process the exit paperwork of every colleague they have just made redundant, which is what one might call job creation with extra steps. The report's experts do offer a crumb of comfort: someone still has to instruct and manage the AI agents for them to be effective. Rather like noting that a guillotine still requires a human hand on the rope, and dressing that up as an employment guarantee.

The logical endpoint is a HR department where a single person supervises a fleet of bots that supervise the remaining humans, and the only promotion path is becoming the one who whispers 'system prompt' updates. One wonders what Josh Bersin's own headcount projection implies for the HR professionals who will be both the operators and the casualties. Perhaps the 30% to 50% figure is meant to be aspirational, a sort of lean-management dieter's target, to be hit before the decade is out. Either way, the message to anyone working in HR is unmistakable: start rehearsing your most ingratiating tone for the AI agent that will decide whether you get a pay rise.

The deeper joke is that the 'experts say' qualifier has become the industry's universal get-out clause: nobody can say precisely when the agents will be any good, so instead they promise we will still be needed to manage them, indefinitely, like parents of adult children who refuse to move out. It is a comforting fiction, and no doubt enormously billable. But when a consultancy is projecting your profession's headcount down by half, the polite response is not a training course in 'AI agent management' — it is a quiet look at the job market. Still, at least the redundancy letters will be impeccably drafted by a machine. Cheers.

Ah, marvellous. The Trump administration has looked at the federal hiring process — that legendary temple of efficiency and merit — and concluded that what it really needs is a spot of artificial intelligence. On Thursday, per Law360, agencies were urged to use AI to craft job descriptions and evaluate applicants. Because nothing says 'we have reflected deeply on the documented failures of algorithmic decision-making' like handing HR the exact same technology that has already produced a healthy collection of bias lawsuits in the private sector.

Let us unpack this civic masterpiece. Some exhausted federal HR specialist will now feed a requisition into a chatbot, which will generate a job description that is one part 'dynamic synergy,' two parts 'must thrive in a fast-paced environment,' and entirely indistinguishable from every other posting in the entire government. Then a screening algorithm will evaluate applicants, presumably by ranking them according to their resemblance to whatever the training data decided a 'successful civil servant' looks like. I am sure there will be a robust appeal process for rejected candidates — in the same way the Titanic had a robust iceberg-detection process. The forms will be state-of-the-art; the outcomes will be reliably catastrophic.

The glorious irony is that this comes from an administration that has spent its term vowing to shrink the federal workforce — so the AI can presumably handle the jobs of the humans who used to review the AI. Before long, expect a cottage industry of consultants billing millions to 'operationalize AI hiring,' followed by a class action when the algorithm decides that every veteran, every applicant over 40, and every person with a disability is somehow 'not a culture fit.' Still, the rejection letters will be beautifully written, perhaps even with a cheerful footer: 'This decision was made by an algorithm, not by a bureaucrat. Have a nice day.' Ah well. At least the machine is impartial: it will discriminate against everyone equally.

Ah, marvellous. Barret Zoph, the Thinking Machines co-founder who apparently treats AI startups like a holiday let, is now at Google — his third employer in under two years, if you're counting. According to TechCrunch, Zoph has 'found yet another job,' which is corporate-speak for 'he did it again.' He spent two years at OpenAI, left in October 2024 to co-found Thinking Machines with Mira Murati, then scurried back to OpenAI earlier this year, and now Google gets its turn. TechCrunch reached out to OpenAI and Google for comment, presumably to receive one of those 'we don't comment on personnel matters' emails generated by an AI that has learned nothing from its colleagues.

The exquisite comedy here is the word 'defected.' In any other industry, moving between companies is called 'taking a new role.' In AI, it's a geopolitical act, because the entire frontier is a cartel of about four labs playing musical chairs with the same dozen research names. Zoph's resume now reads like a Tinder profile for a serial monogamist: OpenAI, Thinking Machines, OpenAI, Google — with each transition announced breathlessly by trade press as if the fate of humanity hinged on which campus he stores his laptop at. The fact that he co-founded Thinking Machines with Mira Murati and then left earlier this year suggests the 'mission-driven startup' was really a waiting room.

What's the takeaway? The talent market is sending a clear signal: no one believes any single lab is where the future will be built, so everyone is hedging by rotating through all of them. That's terrible for long-term research — you can't build a superintelligence if your top people are in a permanent state of onboarding. But don't worry: Google, OpenAI, and Thinking Machines will all issue cheerful statements about how Zoph's 'unique expertise' contributes to their 'shared mission,' while he quietly negotiates his next move. At this rate, his next defection will be announced before TechCrunch has finished publishing this one.

Ah, marvellous. Luke Metz, a name that now appears on more rosters than a journeyman footballer, is joining Meta Superintelligence Labs just seven months after he rejoined OpenAI. Yes, you read that correctly: he 'rejoined' OpenAI, then evidently decided that seven months of that particular circus was quite enough, and is now shuffling off to the Zuckerberg emporium, where he will report to Alexandr Wang, a man so thoroughly in charge of Meta's AI effort that the word 'effort' suggests heroic optimism. The hire was confirmed to Axios by a source familiar with the matter, which is corporate-speak for 'someone who definitely exists and would definitely not lie on the record.'

Let us savour the phrase 'Superintelligence Labs' for a moment. It is the sort of name a child gives a spaceship, or a CEO gives a cost centre that has so far produced nothing but impressive blog posts. Into this temple of future transcendence walks Luke Metz, a chap who could not sustain a personal loyalty to OpenAI for the length of a pregnancy. I do not know what he has planned, but I suspect the tenure will be measured in months, not years, and when he departs, the press release will describe it as 'pursuing new opportunities' — the corporate equivalent of a yeti sighting.

It is all rather wonderful, in a grim way. The AI industry's talent market is now explicitly a game of musical chairs played by people who have no idea when the music will stop, but are quite sure the chair they want is in someone else's building. Metz's return is presumably a strategic coup for Wang, who has been labouring to convince the world that Meta is a serious player in the 'superintelligence' space, whatever that is when it's at home. I wish Mr Metz well; he will need more than good wishes — a reliable travel adaptor, a strong personal brand, and the career guidance manual used by football managers: never stay long enough to see the fruit of your own labour, because by then you will be blamed for its failure. Splendid.

Ah, marvellous. ChinaTalk has finally given the corporate world the perfect scapegoat: an artificial intelligence that cannot sue, cannot answer back, and cannot even demand a reference. The piece notes that layoffs are already being blamed on AI even when they have nothing substantively to do with it, which is rather like blaming the weather for a restructuring. Every manager who ever handed out a P45 can now murmur 'the algorithm made me do it' and watch the share price wobble upwards. This is not a labour market, it's a theatre of absolution, with the machine wheeled out as the villain in a play nobody can stop.

Even better, the cheery prediction that junior hiring freezes are coming because companies are 'experimenting with agents.' Because nothing builds a robust talent pipeline like refusing to hire the people who might one day fix the agent's inevitable catastrophic errors. Companies will save a few thousand on graduate schemes, then wonder why there is nobody left who actually understands the system when the agent starts hallucinating its way through the payroll. That is the kind of long-term thinking that gifted us the 2008 crash, except this time the toxic assets write their own risk assessments and delete the audit trail.

And to cap it all, the warning of sudden large-scale job losses. Suddenly the 'political crisis' part of the title makes horrible sense. When millions are dumped onto the dole while tech executives still fly private, the electorate tends to notice, and the pitchforks come out. But fear not: the government will strike up a 'taskforce' and a 'transition fund' that pays for perhaps three retraining courses before evaporating in a puff of ministerial jargon. So raise a glass to the sudden, inevitable, entirely avoidable political crisis. Let us hope the agents are better at governance than they are at keeping human beings employed.

Ah, marvellous. CNBC has surveyed the American people and discovered that 53% of them — across every demographic group, no less, so there is nowhere to hide — fear AI is sharpening a knife for someone in their own household. So much for the reassuring line we heard from Apollo the other week — that AI only trims paychecks, never payrolls. Try telling that to the 53% who are mentally rehearsing which department's headcount will be quietly rebranded as 'efficiency gains' first.

But the real comedy is in the prescribed remedy. 'Trust remains the cornerstone of an ideal AI communication strategy,' the article informs us, in the voice of a PowerPoint that has been on too many courses. The strategy, you see, is to 'let individual teams drive the AI roadmap' so that companies can 'avoid alarming individual contributors.' Alarming them? The entire adult workforce of America is at 53% alarm, and the corporate response is to form a committee to talk about feelings while the robots update their CVs. 'How the effort to keep worker trust is evolving inside companies,' the headline coos — which is executive for 'we have tried nothing and we are all out of ideas.'

There is something almost touching about an approach that treats the AI backlash as a communications problem rather than an employment problem. Don't worry, the logic goes: if we just let each department pick its own automation tools, nobody will notice the aggregate headcount sliding towards zero. One longs for a single executive to stand up and say, 'Yes, we are planning to automate your job, and the roadmap is confidential.' Instead we get trust as a 'cornerstone' and teams 'driving' a roadmap to the exact same destination.