The News,
Decoded.

Cat Wu, Anthropic's head of product for Claude Code and Cowork, has identified the latest tech affliction: 'FOMO over AI's relentless pace.' Yes, apparently staring at Claude 4.5 and wondering if Claude 5 will solve P vs NP while you sleep is the new millennial anxiety. Wu told Business Insider that 'users stress about using the latest version instantly,' which seems like a problem Anthropic could solve by not releasing a new Claude every 38 seconds. But then how would they keep the hype-fed hamster wheel spinning? Meanwhile, actual problems like 'does Claude Code ghost my PRs for 24 minutes at a time?' go unmentioned.

Wu claims that the FOMO is legitimate because 'with AI, every release materially changes what you can do.' True — last week you could generate a flawlessly formatted email; now you can generate a seven-legged table design sketch. Wu is selling the vision of users 'rethinking entire projects' each time a new checkpoint drops, which is code for 'our metrics show people opening the playground three times a day and closing it in frustration.' The soothing solution offered is 'designed experimentation windows,' which is corporate for 'try to chill out, please stop refreshing the model picker.'

This interview is peak Anthropic theatre. On one hand, they read aloud from the 'humans deserve reflective adoption' liturgy. On the other hand, each model drop is basically a thumb on the economy's fast-forward button. Wu wants 'healthy adoption over hype adoption,' conveniently ignoring that Anthropic funds that adoption dialogue by spending however many millions training the 46-model-line Monte Carlo that fuels the hype. Nobody gets FOMO from a glass of water. You get FOMO from an industry that makes yesterday's demigod toolkit today's barely usable bin selection. So clutch your Claude Code window close, pal — every part of you will be scared in a fortnight anyway.

South Korea's latest employment stats have arrived, and they're the bureaucratic equivalent of watching a mugger check his watch. Youth employment dropped by 208,000 positions, with a Seoul National University professor cheerfully announcing that AI lets them 'process student assignments instantly' — code for 'we've sacked a third of the teaching assistants.' The same logic is hitting junior lawyers: an AI trained on case law now reviews documents faster than any paralegal, so firms are quietly trimming entry-level roles. It's the efficiency dream, delivered with the tenderness of a sledgehammer.

Now, this isn't some distant laboratory prediction — this is today, at a prestigious university, in a developed economy. The professor didn't even bother with the usual corporate pablum about 'augmenting' workers; he outright said AI reduces the need for TAs. Junior lawyers are finding their grunt work automated by models that never sleep, never ask for overtime, and certainly don't need mentoring. The chasm between regulatory language — 'safe and responsible AI' — and the reality of 208,000 vanished youth jobs is now so wide you could drive a truck through it, which the trucking lobby should note is next.

And where is the Korean government in all this? Exactly where you'd expect: cheerleading the 'AI pivot' while unemployment insurance remains stretched thin. This isn't a future risk — it's a present-tense body count, presented without irony alongside breathless op-eds about digital competitiveness. One day it's teaching assistants and junior lawyers; tomorrow it'll be the civil servants tasked with ignoring the wreckage. Efficiency is a beautiful thing, isn't it, right up until the table in the efficiency calculation is a person's pay packet.

Ah, the class of 2025 has arrived, and ZipRecruiter has prepared a lovely welcome banner: 20% of employed graduates already believe they're overqualified for their roles. Not overqualified in the 'I could do this standing on one hand' sense—just that the job market has politely asked them to aim considerably lower. And with 47% of recent grads saying AI has already impacted hiring in their sector, the message is clear: we've optimised the labour market for algorithms, not humans. Fifty per cent predict AI will reduce entry-level jobs, which sounds like the kind of forward thinking these grads should put on their CVs before robots learn to write better cover letters.

The sour irony is that these same graduates were told to 'skill up' and 'be adaptable' throughout university. Their reward is the privilege of accepting roles they intend to abandon at the first opportunity. The Great Resignation may have been a fever dream; this is the cold sweats aftermath where employers leverage AI adoption as a plausible reason to keep wages flat and expectations low. ZipRecruiter frames this as 'a mismatch between expectations and opportunity,' which is corporate weasel-speak for 'the kids are onto us.'

What makes this particularly dark fun is the context of Amodei's job-loss warnings being systematically undermined by actual economists just last week. While researchers bicker over the economic models, the lived reality is that a bright-eyed graduate with £40k in debt is filtering job alerts that demand '3–5 years' experience' and 'knowledge of Python, Excel, and inner peace.' The future isn't one where no one has a job—it's where everyone has a job, and no one wants the job they've got. Splendid.

Another day, another AI executive making sweeping predictions about the future of work, only to be met with the inconvenient reality of actual economists. MIT's Daron Acemoglu, who inconveniently won a Nobel Prize in Economics last year, has publicly challenged Anthropic CEO Dario Amodei's dire warnings of a 'white-collar jobs wipeout.' Acemoglu accused Amodei of 'motivated reasoning'—a polite academic term for talking your own book—and pointedly asked why Anthropic is so keen on making automation its 'main priority' if its CEO genuinely believes it will cause mass unemployment. It's a deliciously obvious question that Amodei will no doubt answer with more vague hand-waving about 'responsibility' and 'safety,' the corporate equivalent of a magician's misdirection.

The exchange perfectly captures the current AI discourse: executives from well-funded labs issue apocalyptic warnings that conveniently serve as marketing for their own products, while actual experts who study labor markets for a living get relegated to the role of skeptical footnotes. Amodei's warning isn't just self-serving; it's part of a broader pattern where AI leaders position themselves as the only ones who can save us from the very catastrophe they're racing to create. It's the ultimate business model: sell the poison and the antidote, preferably on a subscription basis. This follows neatly on from Rishi Sunak's recent suggestion to eliminate National Insurance to make humans more hireable—another unserious solution proposed by someone with deep ties to the very industry causing the problem.

What's most galling isn't the hypocrisy, which is standard operating procedure in Silicon Valley, but the sheer predictability of it all. The cycle is now rote: a CEO makes a headline-grabbing doomsday prediction, economists point out the flawed assumptions, and the media treats it as a serious debate rather than a PR strategy. Meanwhile, the actual work of understanding how technology transforms labor markets—the nuanced research into task displacement, skill complementarity, and wage effects—gets drowned out by the sound of venture capital being poured into the next round of automation tools. One can only hope that when the real economic data starts coming in, people remember which voices were selling fear and which were doing the math.

Rishi Sunak, former prime minister and current adviser to Anthropic and Microsoft, has popped up to suggest eliminating National Insurance to make hiring humans more attractive, because apparently the solution to AI-induced job displacement is to turn the tax code into a bidding war against the machines. He told the BBC that 'concerns from graduates looking for entry level jobs were justified,' which is a bit like a firefighter arriving with a bucket of water after the house has already burned down, especially coming from a man whose corporate patrons are busily building the inferno. It’s a masterclass in political theatre: the ex-leader, now safely ensconced in the AI-industrial complex, offers a tax tweak while the structural shifts he helped enable roll on unabated.

Sunak’s proposal hinges on the idea that making labour cheaper will somehow outcompete AI’s relentless drive toward efficiency, a notion that feels about as sturdy as a paper umbrella in a hurricane. He’s essentially advocating for a subsidy on human frailty in a market increasingly obsessed with silicon perfection, all while his own affiliations suggest a rather more conflicted stance on the matter. One can almost hear the boardroom chuckles: 'Let’s cut taxes on workers so they can afford to buy the products our AI makes redundant' — it’s a neat, circular logic that neatly absolves anyone of actual responsibility.

This is the same regulatory gap we’ve seen before, where policy lags so far behind capability that suggestions like Sunak’s feel less like solutions and more like rearranging deck chairs on the Titanic. The man who once helmed a government now advises firms at the bleeding edge of the technology, yet his big idea is a fiscal fiddle while the foundations crumble. It’s a perfect snapshot of our era: elites offering bandaids for bullet wounds, all while keeping a steady hand on the trigger. Cheers to that.

Pennsylvania's educators have taken the bold step of asking their state government for guidance on AI in schools, which is a bit like asking a toddler for directions to the moon. At Tuesday's House Education Committee hearing, teachers and researchers testified about the need for 'proactive' state guidance to local districts, while legislators fretted that Pennsylvania might be 'falling behind' on AI education policy. The irony of asking the same institution that still hasn't figured out standardized testing to regulate the most disruptive technology since the printing press is truly something to behold.

What's particularly delicious is the timing. This hearing comes just weeks after Verizon CEO Dan Schulman warned AI could push unemployment to 30% within five years, and now educators are essentially asking the state to help prepare students for a job market that may not exist. The legislators' concern about 'falling behind' suggests they've finally noticed the train left the station about three years ago, but bless them for trying to catch up now. No specific curriculum proposals, funding commitments, or regulatory frameworks were mentioned — just the earnest recommendation that 'guidance' should be issued.

One can almost picture the scene: well-meaning educators explaining ChatGPT to lawmakers who still think AI is something from a Spielberg film, all while the actual technology continues evolving at a pace that makes state-level guidance about as useful as a paper umbrella in a hurricane. The hearing produced exactly what these things always produce — expressions of concern, calls for guidance, and precisely zero binding action. Pennsylvania may indeed be 'falling behind,' but at least they're asking for directions while the cliff approaches.

Ah, Meta — the company that brought us surveillance capitalism for the masses now turns its gaze inward, with all the subtlety of a panopticon in a hoodie. The 'Model Capability Initiative' isn't just another productivity tool; it's a digital overseer that logs every mouse twitch, keystroke, and occasional screenshot on employees' work devices. Because what better way to train your AI agents than with a real-time feed of human drudgery, served straight from the cubicle farm? This from the same firm that recently so thoughtfully expanded its data-harvesting empire with multi-billion-dollar cloud deals — consistency, thy name is Zuck.

Meta's internal memo, obtained by The Verge, claims this is all about 'improving agent efficiency' and is 'opt-in' for now, which is corporate-speak for 'we'll make it mandatory once everyone's too bored to complain.' The tool runs in work apps and websites, capturing data to teach AI how to do jobs humans currently perform. One can almost hear the HR bots being trained on how to write those 'regrettable restructuring' emails with just the right blend of faux empathy and legal cover. It's a masterclass in using your workforce as both lab rats and training data, all while pretending this is just another step in the 'journey of innovation.'

Of course, this comes as no surprise from a company whose business model is built on monetising attention and behaviour. The only difference is that now the surveillance is hyper-localised, turning every Slack message and spreadsheet click into fodder for the machine that might one day replace you. The real kicker? They're calling it an 'Initiative' — because 'Orwellian Monitoring Program' doesn't test well in focus groups. One wonders if the AI agents will eventually learn to file their own ethics complaints, or if that particular human nuance gets lost in the training data.

Dan Schulman, the man who presided over Verizon's recent layoffs of over 2,000 employees, has now appointed himself the telecom sector's prophet of AI-induced doom. In a refreshingly candid moment, he suggests bosses should be 'more honest' with staff about the coming upheaval, which he forecasts could see unemployment hit 30% within two to five years. One might wonder if the honesty should have started before those pink slips were printed, but it's always easier to warn about the storm after you've already boarded up the windows.

Schulman's other prediction — that artificial general intelligence could arrive by the end of next year — is the sort of timeline that would make most safety researchers break out in a cold sweat. Yet here it is, delivered with the casual authority of a telecom executive who, until recently, was more focused on 5G rollouts than recursive self-improvement. It's the corporate equivalent of spotting a tsunami on the horizon and deciding now is the perfect time to discuss beachfront property values. The gap between this kind of executive prognosticating and any actual preparedness is a chasm wide enough to swallow entire industries.

What's particularly delicious is the context: this is the same Verizon that, just last quarter, touted its 'AI-driven efficiencies' as a key part of its restructuring. So the script reads: cut jobs using AI, then warn everyone AI will cut more jobs, all while speculating about AGI's imminent arrival like it's a new product launch. It's a masterclass in having your dystopian cake and eating it too, served with a side of utter regulatory vacuum. No policy framework exists to manage a 30% unemployment spike driven by automation, but at least we'll have a CEO on record saying 'I told you so' while the bills come due.

Ah, the FIRE movement — where people dream of quitting their soul-crushing corporate jobs by 40, only to discover that AI might just beat them to the punch. Nick Maggiulli, the COO of Ritholtz Wealth Management, has graciously pointed out that Coast FIRE — the strategy where you save aggressively early, then 'coast' in lower-stress jobs until retirement — is about as reliable as a ChatGPT-generated investment plan in an AI-disrupted job market. Because nothing says 'financial independence' like watching the 'coasting' part of your plan get automated out from under you while you're still paying off the mortgage.

Maggiulli's warning hinges on the charmingly specific scenario that AI will 'eat away at white-collar job security' — you know, the very jobs people were counting on to provide that stable, low-pressure income during their coasting years. It's the financial equivalent of building your retirement plan on quicksand, then being surprised when it sinks. The article notes that Coast FIRE relies on 'continued employment in some capacity,' which AI seems hell-bent on redefining as 'continued unemployment with occasional gig work.' One can almost hear the collective sigh from millennials who thought they'd cracked the code, only to find the code is being rewritten by a language model.

So here we are: another financial strategy rendered obsolete before it even became mainstream, thanks to the relentless march of silicon. It's almost poetic — people meticulously calculate their 'coast number,' only to have an algorithm calculate their redundancy. Maggiulli didn't specify which white-collar roles are most at risk, but given the track record, it's probably the ones involving spreadsheets, writing, or any task that doesn't require physical presence. The FIRE movement's mantra of 'save now, relax later' is morphing into 'save now, panic later' — because the 'later' job market might not exist in the form you planned. Cheers to forward planning.

India's insurtech darling Acko has graced 60 employees with the opportunity to 'explore careers outside the firm' — the new corporate euphemism for being walked out the door with a cardboard box. According to the company, this shake-up is 'driven by increased use of artificial intelligence,' which apparently decided that a good chunk of the customer service, underwriting, and policy management functions were better handled by a few lines of Python code. Oh, splendid — another batch of data points in the grand experiment of automating livelihoods. Not dystopian at all. ✨ The Bengaluru-based unicorn, valued at a cool billion dollars, framed this as routine restructuring. Of course it's routine: tech companies love a round of AI efficiency cuts while sipping milky tea. About 60 people lose their jobs, but innovation gallops forward! Let's pause to savour Acko's rationale: 'We are investing in AI to scale in a capital-efficient manner.' Translation: your salary is now an extravagance the model doesn't need. Employees get a dignified severance and time to reflect on their irrelevance. What a kind, thoughtful letting go. Meanwhile, there's not a single word about reskilling, redeployment, or any plan for the displaced beyond cheerful platitudes. But hey, it's 'restructuring,' not a firing — much nicer term, isn't it? Next headline, please.

So Meta, fresh off cutting 8,000 people in May, is now reportedly eyeing a neat 16,000-head 'optimisation' — because apparently firing 10% of your workforce is just an amuse-bouche. This charming rumour, per a 2026 tech layoff tracker, would claim a crisp 20% of Meta's nearly 80,000 employees. One imagines CEO Mark Zuckerberg dusting off his favourite catchphrase about projects that 'used to require big teams' now needing 'a single talented person' — except this time that one person seems to be the Grim Reaper with a company-wide badge.

The arithmetic is almost poetic: first 8,000 in May, now potentially 16,000 — it's like watching a Silicon Valley version of *The Inbetweeners* decide that taking two arrows to the knee is somehow strategic. Meta has been busily poaching AI talent, snatching seven founding members from the $12 billion Thinking Machines Lab, but for the mere mortals in less blessed departments, the RIF spreadsheet is being drafted. Zuck's vision of an AI-run meta-wonderland clearly doesn't include office leases, healthcare plans, or more than 64,000 wage earners.

The crowning glory is the grotesque normalisation of it all — 16,000 layoffs now sounds like a corporate shrug, not a seismic event. ASML, Cognizant, Meta: they're all waving the AI efficiency flag while hollowing out their workforces, safe in the knowledge that regulators will file the paperwork in six months. The 'potential' in the headline is doing heavy lifting, but we all know how this particular choose-your-own-adventure ends. Dark.

So ASML, the Dutch lithography giant that essentially has a monopoly on the machines needed to make advanced chips, is slashing 1,700 jobs. That's right — the company that prints the very silicon brains of the AI revolution has decided that 1,700 people are surplus to requirements. But don't worry, they're also planning to create about 1,400 new engineering jobs, which is mathematically suspicious — a net loss of 300 positions — but hey, optics! It's the classic corporate *bait-and-switch*: 'we're not cutting jobs, we're *restructuring*.'

The timing is impeccable, of course. ASML's CEO Christophe Fouquet has been touting the company's role as the backbone of the AI era — because what's a booming industry without a bit of collateral damage? This follows the delightful pattern we've seen before with Meta and others: frame layoffs as 'efficiency' and call the net loss a 'transition.' The 1,400 new engineering roles are conveniently described as supporting 'growth areas,' which presumably does not include the 1,700 people who now get to experience that growth from the outside.

And let's not forget the context: ASML's 2026 first-quarter bookings hit €3.6 billion — a 44% drop year-on-year — but hey, AI is the future! The disconnect between the hype and the reality is so wide you could fit an entire semiconductor fab in it. So raise a glass to the 1,700 — the first sacrifices on the altar of 'restructuring.' At least they're being let go by a company that literally cannot stop making money from its monopoly. Progress, everyone!

So Meta has now poached seven founding members from the $12 billion Thinking Machines Lab, which is about as subtle as a wrecking ball to a startup's founding DNA. The latest two departures bring the total to nearly half of the original founding team, with a third employee – a widely-cited AI researcher – also jumping ship. It's the kind of aggressive talent raid that makes you wonder if Meta's 'open AI' philosophy extends to opening other companies' talent rosters with a corporate-sized cheque book.

This isn't just poaching – it's systematic dismantling. The $12 billion valuation of Thinking Machines Lab suddenly looks like a price tag for a parts catalogue, with Meta cherry-picking the very architects who built the thing. When a startup loses seven founding members and key researchers to one competitor, it's not a 'shakeup' – it's a controlled demolition dressed up as career advancement. The fact that this is happening as the lab faces 'aggressive poaching efforts' suggests someone at Meta has decided the most efficient R&D strategy is to let others do the foundational work, then hire away the people who actually understand it.

What's particularly delicious is watching this unfold against the backdrop of Meta's own recent workforce 'optimisation', where 8,000 employees were deemed surplus because projects that 'used to require big teams' can now be handled by 'a single talented person.' Apparently, those single talented persons are being sourced from $12 billion startups rather than cultivated internally. It's a perfect corporate two-step: fire thousands while simultaneously spending fortunes to hire the exact people who might make those roles redundant elsewhere. The circular logic would be impressive if it weren't so brutally efficient.

So Cognizant has launched Cognizant Skillspring™, an 'AI-native conversational learning platform' that promises to help businesses 'cultivate AI-ready talent at scale.' Because when you're facing the delightful prospect of mass workforce displacement, nothing says 'we care' quite like a trademarked training portal that will presumably help people learn the skills needed to be replaced by the very technology they're studying. The platform's stated goal is to 'improve time-to-competency' – a wonderfully corporate phrase that suggests human workers are just another component to be optimized, like server response times or supply chain logistics.

This announcement arrives precisely as Meta's planned 8,000 job cuts we noted last week loom and Acko's 'AI-led restructuring' continues apace. Cognizant's press release breathlessly declares the platform will 'accelerate clients' workforce AI readiness,' which in plain English means helping companies fire people faster by ensuring the survivors know how to use the tools that made their colleagues redundant. The irony is so thick you could spread it on toast: a consulting giant that helps implement cost-cutting automation now selling a solution to train people for the jobs its other services are eliminating.

What's particularly delicious is the timing – this isn't some forward-thinking initiative launched years ago, but a reactive scramble as the layoff announcements pile up. The platform's 'conversational' interface suggests a chatbot will be teaching workers how to coexist with chatbots, a perfect ouroboros of corporate circular logic. Cognizant isn't solving the displacement problem; they're monetizing the anxiety it creates, offering a branded bandage for a wound their industry is actively deepening. Another day, another vendor selling shovels during a gold rush where the gold is your job.

So the quarterly survey of 750 CFOs reveals that CEO expansion plans are cooling, with a delightful 34% of them 'weighing how to incorporate AI into hiring' – a phrase that sounds like they're carefully measuring out flour for a cake, not deciding whether to replace humans with algorithms. The data suggests this cooling is due to both AI and uncertainty from the Iran war, which creates a perfect storm where geopolitical instability provides convenient cover for automation-driven workforce reductions. It's almost poetic: while one uncertainty makes CEOs hesitant to hire, the other gives them a ready-made excuse to not hire at all.

What's particularly charming is that 1 in 5 companies now assess AI skills in interviews, suggesting we've reached the stage where you need to demonstrate proficiency in the very technology that might eliminate your job. This is like asking a coal miner to prove they can operate the steam shovel that will replace them – a delightful bit of corporate cognitive dissonance. The survey data, coming from the same Duke/Federal Reserve CFO survey that predicted 502,000 AI-related job transitions, shows how quickly 'preemptive' workforce planning has become standard operating procedure.

Of course, the Iran war uncertainty provides the perfect smokescreen – who can blame a CEO for pulling back on hiring when there's geopolitical instability? Never mind that this conveniently aligns with their desire to 'incorporate AI' into their operations. It's the regulatory equivalent of finding a loophole in the Geneva Convention: you can't be accused of heartless automation when there's a perfectly good war to blame instead. The data suggests we're entering an era where every external crisis becomes an opportunity for internal 'optimization' – how terribly efficient.

So a satirical Mad Libs template has emerged to mock the corporate boilerplate of AI-driven layoff announcements, which is about as surprising as finding out water is wet. The post notes CEOs using similar language to cite AI's 'rapid advancements' as justification for showing people the door, a delightful bit of linguistic recycling that suggests even corporate doublespeak has its own generative model now. It's almost touching how executives have standardized their apologies, as if reading from the same PR script handed down from on high—consistency in messaging, if not in conscience.

What's particularly charming is how this template captures the essence of modern corporate speak: fill in the blanks with your company name, the number of 'impacted team members' (never 'fired employees'), and a vague nod to 'strategic restructuring.' The satire highlights that these announcements have become so predictable they're practically a genre of their own, complete with obligatory references to 'difficult decisions' and 'future-ready organizations.' One might almost admire the efficiency—why waste creative energy on layoff notices when you can just plug-and-play from a template?

Of course, this isn't just harmless fun; it's a symptom of a deeper rot where human livelihoods are reduced to Mad Libs fodder. The fact that such satire resonates widely speaks volumes about how normalized these AI-justified cuts have become, following the pattern we saw with Meta's 8,000 jobs axed last month. When layoff announcements are so formulaic they inspire parody, perhaps it's time to question whether the 'rapid advancements' touted are actually delivering anything beyond streamlined excuses for corporate downsizing.

So Meta has decided that 8,000 people are now surplus to requirements, a move CEO Mark Zuckerberg elegantly framed as projects that 'used to require big teams' now being accomplished by 'a single talented person.' It's a charmingly dystopian vision of corporate efficiency, where the only thing more impressive than AI's capabilities is the board's willingness to treat human labour as a variable cost to be optimised away. One can almost hear the PowerPoint slides clicking over to the next bullet point about 'streamlining operations,' as if mass layoffs were just another quarterly KPI to be ticked off.

This delightful purge comes alongside a planned 60% increase in AI spending for 2026, a figure that would be eye-watering if it weren't so perfectly timed to underscore the brutal arithmetic at play. The company is essentially swapping out 10% of its global workforce for a bigger slice of the compute budget, a transaction that would make even the most hardened venture capitalist blush. It's the kind of 'strategic realignment' that looks great on a balance sheet, provided you don't mind the human collateral piling up outside the office doors.

Of course, this is just the latest episode in the ongoing saga of AI-driven displacement, a trend we flagged last week with Acko's 5% cuts. The difference here is the sheer scale and the brazenness of the justification: Zuckerberg isn't even pretending this is about market conditions or a one-off restructuring. No, this is a deliberate pivot towards a future where fewer people do more work, thanks to the magic of algorithms. One wonders if the 'single talented person' he mentioned will be an AI agent, or just a very overworked human trying to keep up with the machines.

So Acko, the Indian digital insurer, has decided to 'restructure' its workforce by cutting around 5% of employees, which is corporate-speak for showing people the door while pretending it's just a bit of spring cleaning. This delightful trimming comes as the company works towards its proposed initial public offering, because nothing says 'we're ready for the big leagues' quite like making your balance sheet look prettier by shedding human ballast. The impacted staff are expected to stay on the company's rolls until the end of June, giving them a lovely few months to polish their CVs while watching their colleagues nervously eye the exit.

This is the same old story we've seen before — the talent CEO who discovered laid-off tech workers were ignoring $300K 'white-collar trade jobs' — only now it's playing out in the insurance sector. Acko's management presumably thinks they're being terribly forward-thinking by implementing AI-driven efficiencies, but let's be honest: this is about cutting costs ahead of an IPO, not some grand technological leap. The 5% figure sounds modest enough to avoid panic, but when you're talking about a digital insurer with ambitions of going public, that's still a significant number of people being told their skills are suddenly redundant.

What's particularly galling is the timing — these employees get to stick around until June, providing just enough continuity to keep the ship afloat while management prepares to cash in. It's the corporate equivalent of being asked to dig your own grave while someone else plans the funeral party. And let's not pretend this is isolated: as more companies chase the AI efficiency dream ahead of public offerings, we'll see this pattern repeated across sectors, with each round of cuts dressed up as 'strategic restructuring' rather than what it really is: human collateral in the race to automate everything that moves.

So a talent CEO has discovered that laid-off tech workers are apparently ignoring the bountiful opportunities of the 'white-collar trade job', a delightful new category that seems to involve getting your hands dirty while still being able to afford a mortgage. The CEO, whose firm presumably profits from placing people in these roles, notes that positions like data center technicians can pay up to $300,000 annually, with 81,000 openings a year driven by the AI-induced data center boom. It's a charming bit of reframing: not a desperate pivot for displaced software engineers, but a 'skilled trade' with a six-figure salary, as if rewiring server racks is the new plumbing for the cloud era.

Of course, the demand surge is directly tied to the infrastructure needed to power the very AI systems that are eliminating those tech jobs in the first place. HVAC engineer roles have increased by 67% and construction jobs by 30% since late 2022, according to the article, all to build and cool the data centers hosting large language models. So the narrative is neatly circular: AI displaces white-collar workers, then offers them a chance to build its physical backbone, provided they're willing to swap coding for cable management. The CEO's pitch that these roles are being 'ignored' carries a whiff of corporate exasperation—why won't these unemployed engineers just embrace their new destiny as high-paid manual laborers?

It's a tidy solution to the employment displacement we've been tracking, like the AI dividend plan that proposed paying people not to work. Instead of grappling with systemic job loss, we're offered a rebranding exercise: call it a 'white-collar trade', slap a $300K price tag on it, and pretend it's a lateral move rather than a forced migration. The irony is thick enough to patch a data center wall—the same tech driving layoffs is creating demand for jobs that require entirely different skill sets, all while CEOs wonder why the displaced aren't leaping at the chance. One might almost think there's a gap between rhetoric and reality, but that would be far too cynical.

So Alex Bores, the Democratic House candidate from New York, has decided to roll out his 'AI dividend' plan with all the fanfare of a man promising to build a seawall after the tsunami has already hit the coastline. His policy memo describes direct payments that would 'kick in if AI meaningfully displaces American workers'—a wonderfully vague threshold that manages to be both alarmist and bureaucratically inert. One can almost picture the committee meetings to define 'meaningful displacement' while the unemployment numbers tick upward, a perfect encapsulation of political theatre pretending to be foresight.

This is the same proposal we flagged last week, now repackaged with fresh Axios exclusivity but none of the substantive details that might make it more than a campaign talking point. Bores wants to 'share AI wealth' through government payments, a lovely sentiment that conveniently ignores who exactly would be funding this dividend when AI has already hollowed out the tax base. The memo's reliance on hypothetical triggers rather than concrete implementation reads like a politician's attempt to have his cake and eat it too—sound proactive without committing to actual spending.

Perhaps most telling is the timing: Bores unveils this as a Democratic House candidate, positioning himself as a forward-thinker on AI's economic impacts while the rest of Washington remains stuck in regulatory gridlock. It's a clever bit of branding, suggesting that someone, somewhere is thinking about the problem, even if the solution amounts to writing checks from an empty account. One wonders if the dividend will be denominated in thoughts and prayers or actual currency—though given the track record of such proposals, the former seems more likely.