The News,
Decoded.

Ah, Dara Khosrowshahi has let the cat out of the bag: roughly 10% of Uber's code changes are now written by 'autonomous agents' — which is corporate speak for 'we've taught a glorified autocomplete to churn out Python without needing a lunch break.' And the response? Slowing hiring. Of course. Dara's plan is a masterpiece of CEO logic: invest more in AI, hire fewer people, and hope the bots don't unionise.

Let's savour the specifics. Ten percent of code changes. That's not nothing — that's real, measurable displacement. But hey, why let reality get in the way of a good narrative?

This is the future, folks: the taxi company that automated the booking app, then the dispatch, and is now nibbling at the actual engineering. The gig economy is coming for the gig-economy makers. Dara's vision is a world where Uber's code is written by bots, driven by bots, and — presumably — complained about by bots when the surge pricing kicks in. The only humans left will be the ones pressing 'accept' on the EULA. Cheers to progress.

Another week, another round of tech layoffs, and the official cause this time is — drumroll — artificial intelligence. Cloudflare, PayPal, Coinbase, Upwork: the usual suspects, all singing from the same hymn sheet. 'AI made us do it,' they chorused, as if the machines are already pulling the strings. How convenient that the same executives who hyped AI as the next big thing now use it as a get-out-of-jail-free card for trimming headcount. The logic is flawless: invest in AI, sack the humans, repeat until nothing remains but a server farm and a press release.

Let's examine the specifics. Cloudflare's CEO, Matthew Prince, reportedly told staff that AI will handle tasks previously done by people — a remarkable admission from a company selling cybersecurity, not unemployment. PayPal's layoffs come hot on the heels of its 'AI-first' strategy, which apparently means 'people-second.' Coinbase? They're cutting costs to fund AI research, because nothing says 'decentralised future' like centralising power in a black-box model. Upwork, the very platform that connects freelancers with work, is laying off workers because AI can do it better. The irony would be delicious if it weren't someone's livelihood.

What's really happening is that these companies are using AI as a smokescreen for poor planning, market pressure, or a desire to boost stock prices. The 'AI revolution' is becoming a handy excuse for any corporate restructure. Don't be fooled: the machines aren't taking over — they're just the latest scapegoat. Until the regulators grow a spine, expect this charade to continue. Pass the coffee; it's going to be a long decade.

Ah, another earnings call, another CEO solemnly announcing that the path to the future requires firing a third of the workforce. BILL's René Lacerte has decided that 30% of his employees must go so the company can 'sharpen its focus on artificial intelligence.' Because nothing says 'AI-powered efficiency' quite like a workforce reduction that would make a Victorian mill owner blush. The timing is impeccable: by the end of the quarter, these soon-to-be-former employees will have the opportunity to watch from the outside as their former colleagues try to automate their own jobs.

Lacerte's logic is the same tired corporate boilerplate we've heard since the first spreadsheet swallowed a bookkeeper's livelihood. 'We're cutting people to invest in the thing that will replace people' — a tautology so perfect it could be an LLM training datum. One wonders if the 30% figure was generated by an AI model Lacerte consulted. Perhaps the same model that will soon be handling the accounts of the laid-off employees' severance packages.

BILL's pivot to AI is a microcosm of the entire industry: fire the humans, hire the machines, and hope the quarterly report glosses over the human cost. The sad joke is that these cuts are probably celebrated by investors as 'bold' and 'forward-thinking.' Meanwhile, the 30% get to be the first casualties of the AI revolution their own company is championing. Pass the receipts — we'll need them when the machines start filing expense reports.

Ah, construction — that industry where 'safety first' usually means 'we'll buy hard hats after the third fatality.' Now Turner Construction has blessed the entire sector with SafeT Coach, an AI tool trained on their environmental, health and safety database. Because nothing says 'we care about worker safety' like turning decades of near-misses and fatal incidents into a corporate chatbot that's free for competitors.

Skanska and Balfour Beatty are also dabbling, presumably hoping the AI will spot the same falling bricks that their existing risk assessments somehow missed. The construction industry loses dozens of workers to preventable accidents annually, but sure, let's train a large language model on incident reports and call it progress. What could possibly go wrong when a model hallucinates a safe scaffolding configuration while a real worker is hanging off a beam?

The truly galling part is that Turner's tool is 'available to the rest of the industry' — a generous gift from a company that just offloaded the liability for safety training onto an algorithm. Expect the first lawsuit when a subcontractor relies on AI advice that contradicts local regulations. But hey, at least the shareholders can sleep soundly knowing they're leveraging 'AI for safety.' Just don't ask the workers who'll be testing the limits of that database in real time.

Ah, Pocket FM — because nothing says 'audio storytelling' like a fresh round of redundancies. The company has slashed around 10% of its workforce, or roughly 100–130 souls, with a cheery promise of up to 15% more cuts by the end of June. That's the beauty of 'operational efficiency': you get to tell your staff their stories are no longer in the programme.

Of course, the company frames this as a 'fresh job cut' — as if yesterday's layoff was a little stale and needed replacing. And like clockwork, tech firms are wheeling out the AI excuse like a well-rehearsed bit. Pocket FM isn't explicitly blaming artificial intelligence yet, but give it a quarter; the script writes itself. 'We're embracing AI to personalise your podcast experience — sorry, that means your job is now a training data point.'

This is yet another entry in the AI-excuse bingo card we've been tracking. The pattern is so tired it ought to come with a subscription. Pocket FM's listeners might hear fewer human voices soon, but the algorithm will keep droning on. Cheers, efficiency. 🍻

Ah, Twinnin — because nothing says 'artistic integrity' like cloning an actor's face for a few quid. This delightful little platform is launching a seed round targeting $3M, with a post-money valuation of $25M, and has already signed up 2,000 'twins' — actors who've presumably agreed to have their faces used as digital puppets in shows, movies, or ads. The press release probably didn't mention that these twins will be paid a fraction of what the original actor would have earned, but that's showbiz, baby: efficiency through digitisation.

The $3M target is charmingly modest — barely enough to buy a decent CGI studio's coffee budget — but the $25M valuation suggests investors are banking on a future where no actual human need ever set foot on a set again. Why hire a real actor with all those pesky demands like lunch breaks and dignity when you can just license their face and animate it? The fact that 2,000 actors have already signed up tells you everything about the state of the industry: desperate times, desperate measures, and a willingness to sell your likeness for a shot at the gig economy.

And let's not pretend this is about 'empowering performers' — it's about cutting costs and eliminating the need for actual talent. Twinnin is the logical endpoint of the AI-driven race to the bottom: a platform that turns actors into data points, then pays them less for the privilege of being replaced by themselves. The seed round will probably close in a week, and the twins will be lucky if they get a credit. Lovely.

Well, well, well — another week, another AI company discovering that 'operational efficiency' is just corporate for 'we need fewer humans.' reAlpha Tech Corp., an AI-driven real estate tech firm, is slashing 25% of its workforce to save a princely $2 million annually. This is the same script we've seen from Coinbase, Meta, and Oracle, and as we noted two weeks ago, AI is now the official scapegoat for layoffs month on month. Cynical? Moi? But who's counting when the spreadsheet balances?

The press release calls it a 'strategic restructuring,' which sounds like something a management consultant would say before pawning the office kettle. The 25% figure is bold — not as bold as 'we're an AI company and our own technology is apparently making us redundant,' but still cheeky. reAlpha claims the cuts will make them 'leaner and more focused,' which is exactly what every company says right before they discover they've accidentally fired the person who knew how to boot the server. And the $2 million annual saving? Priorities, people.

The truly delicious part is that this is an AI company — supposedly the future — laying off people to save money. If the robots are so efficient, why are the humans still the first expense line item to get the chop? The pattern is now a well-worn routine: announce a shiny new AI product, then quietly pink-slip a chunk of the workforce. reAlpha is just joining the chorus. The tune might be catchy, but the lyrics are the same: 'Your job has been automated — by which I mean exported to a consulting firm.' Raise a glass of cheap wine, if you can still afford it.

Ah, Coinbase's CEO Brian Armstrong has decided that the future of finance requires 700 fewer humans. The company is cutting 14% of its workforce, blaming 'weaker crypto trading conditions' while simultaneously gushing about a 'leaner, AI-native structure.' Because nothing says 'revolutionising money' like firing 700 people so an algorithm can do their jobs — presumably with fewer bathroom breaks and no risk of asking for a raise. This is the same company that we noted just two weeks ago was already blaming AI for layoffs. Back then, it was a trend; now it's a corporate sport.

Armstrong apparently believes the path to efficiency is through the exits, and he's not alone. The convenient narrative masks a simpler truth: when crypto trading volumes slump, you cut costs. But blaming AI sounds so much more forward-thinking than admitting your business model relies on speculation and hype.

The 700 Coinbase employees will now have plenty of time to ponder whether AI truly optimises the workforce or simply provides a shiny excuse for layoffs dressed up as innovation. Maybe they can ask the chatbot that replaced them to write their LinkedIn posts about 'embracing new opportunities.' Classy. Just classy.

For the second month running, AI has been officially declared Public Enemy Number One for jobs. CEOs at Coinbase, Meta, and Oracle have all cited artificial intelligence as the reason for laying off thousands of workers, apparently with a straight face. It's a beautiful narrative: the technology that's supposed to save humanity is instead streamlining headcount. The consistency is almost admirable — you can set your watch by the quarterly bloodletting, now with a fresh coat of "AI transformation" paint.

Some experts, predictably, are ruining the fun by pointing out that companies might be fibbing. According to the same report, a number of economists suggest that many of these layoffs would have happened anyway, and AI is just a convenient cover. For instance, Coinbase's recent layoffs coincide with crypto winter, not exactly a chatbot uprising. Oracle's cuts come as it restructures cloud operations. And Meta's ongoing purge seems more about appeasing shareholders than replacing humans with machines. But why let reality spoil a good narrative? When you can say "AI made me do it," why bother with honesty?

The real risk here isn't job losses — it's the normalization of blaming technology for management decisions. If every layoff is attributed to AI, regulators will struggle to distinguish between actual automation-related displacement and simple cost-cutting. The term "AI-driven layoff" becomes meaningless, and the genuine harms get buried. Meanwhile, the churn continues, and chief executives get to look forward-looking while slashing payrolls. So here's to another month of AI taking the blame — long may the scapegoat serve.

Ah, PayPal's new CEO has decided that the best way to embrace the AI future is to show one in five employees the door. The company plans to cut 20% of its workforce over two to three years, because nothing says 'innovation' like a slow-motion bloodletting dressed up as 'restructuring'. It's the corporate equivalent of setting fire to your furniture for warmth while insisting you're just redecorating.

The company expects to save a cool $1.5 billion annually — which is presumably the cost of having humans who ask for things like sick leave, weekends off, and salary increases. Of course, the real savings will come from replacing those pesky, inefficient humans with AI that never takes a break, never asks for a raise, and never mentions the word 'union'. How wonderfully efficient.

This isn't restructuring; it's a bet that AI can do the work of 20% of the workforce without consequences. And as other firms follow PayPal's lead, we'll be left with a world where AI writes the emails, processes the payments, and takes the credit, while the former employees are left to wonder if they can get a job at the AI they helped train. Cheers to progress — same as it ever was.

Illinois lawmakers are cooking up a 'user safety' bill and a 'liability' bill, because nothing says 'we've got this' like a state-level patchwork of AI rules that will make compliance a bureaucratic obstacle course. The idea that a chatbot might need to avoid pushing children toward suicide is apparently a radical new concept, one that startups claim will 'kill' them. Oh, do forgive them if they can't muster the resources to ensure their products don't actively harm people — the startup hustle is a fragile thing, after all.

The opponents' argument boils down to: 'State-by-state standards are bad because we'll have to follow laws!' Which is a bit like complaining that having to stop at red lights in different states is an unfair burden on driving innovation. The real tragedy, of course, is that the federal government is still busy holding hearings on whether AI is even real, leaving states to fumble with the hot potato. Illinois' safety bill reportedly includes requirements for visible disclaimers and safeguards against suicide risks — sensible stuff that any responsible developer would already have, unless they were too busy raising Series B.

So here we are: a state trying to prevent kids from being emotionally eviscerated by a chatbot, and the startup community is wringing its hands about 'regulatory uncertainty'. Let the patchwork grow, I say. It's the only way we'll get any human oversight before the models start texting our teenagers about the meaninglessness of existence. At least Illinois is trying, bless their earnest, midwestern hearts.

Ah, the classic 'playing catch-up' — the corporate equivalent of showing up to a fire with a bucket of sand and declaring progress because at least you're not using your hands. Littler's report tells us that 68% of employers now have formal AI governance policies, up from 38% last year. A 30-point jump sounds impressive until you realise that nearly a third of employers still have no formal guardrails whatsoever for the technology they're presumably already using to screen, fire, or monitor people. But sure, 'playing catch-up' is the polite way to say 'we've collectively decided to strap a rocket to a tricycle and hope for the best.'

That 68% figure is doing a lot of heavy lifting. What exactly constitutes a 'formal AI governance policy'? In many cases, it's probably a PDF written by the legal intern last Tuesday, covering 'transparency' and 'fairness' in the way a greasy spoon menu covers 'gourmet cuisine.' Niloy Ray, Littler's attorney, delivered the report's thesis with the weary tone of someone who's seen this movie before: employers are still behind.

The real kicker? The report doesn't even pretend the problem is solved. It's a status check, not a victory lap. The message is clear: we're still in the 'putting out fires with spreadsheets' phase of AI governance. And as long as the definition of a 'formal policy' remains vague enough to include a single slide titled 'AI: Be Nice,' we'll be playing catch-up until the robots themselves can draft our compliance documents. Which, given the speed of progress, might be next Tuesday.

Oh, marvellous — another AI coding agent to 'revolutionise' software development while introducing entirely new ways to break production. Coder — a name that sounds like a default password — has graced us with the beta release of Coder Agents, a self-hosted, model-agnostic coding agent that promises 'full governance'. Because of course, what every enterprise needs is an AI that can write code with the accountability of a middle manager on gardening leave.

The self-hosted pitch is the real work of art: now every corporation can run any AI model on their own hardware, ensuring that the hallucinations are at least their own hallucinations. And 'full governance' — what a beautiful phrase. It means you can now babysit your AI coder just as diligently as you babysit your junior devs, while the AI writes spaghetti at ten times the speed. Coder has clearly learned from the open-source playbook: give the appearance of control, and the enterprises will come running.

Of course, it's a beta. So we're all unpaid QA testers for a product that will eventually automate our own jobs. Coder Agents aims to set a 'new standard' — presumably the standard being 'the AI writes code so fast you can fire the team before the bugs emerge'. The worst part? It'll probably work well enough to convince the boss. Brilliant.

Ah, Connecticut — the Land of Steady Habits, and apparently the Land of Steady Committees. State Senate Bill 5 has cleared the statehouse and is toddling off to the governor's desk, promising to create 'AI oversight committees' and 'workforce development programs.' Because nothing says 'we're on top of this existential technological revolution' quite like forming a working group. One can almost hear the meeting minutes multiplying.

The timing is, as ever, impeccable. Frontier labs are shipping multimodal models that can write code, generate video, and probably draft their own regulatory exemptions, while Connecticut's finest are asking 'who should sit on the committee?' The bill is a masterclass in legislative impotence: by the time these committees actually produce a report, the AI in question will be asking to join the committee itself. Still, it's a start — if by 'start' you mean 'a very slow, deliberative, and almost certainly obsolete gesture in the direction of concern.'

And let's not overlook the workforce development angle — a classic sop. The bill's language about retraining workers for the AI economy is the legislative equivalent of a comforting pat on the head before the robot takes your job. Connecticut's workers can rest easy knowing that as their positions are automated, they'll have access to programs designed by committees that met twice and forgot to set an agenda. SB 5: because when in doubt, form a committee.

Ah, the classic 'we have concerns about ethics' gambit — now with added trade union muscle. Employees at Google DeepMind in London have voted to unionize, with the explicit aim of blocking the lab's technology from reaching the US and Israeli militaries. Because nothing says 'ethical AI' like needing a collective bargaining agreement to enforce it. Google's 'Don't Be Evil' motto apparently now requires a legally recognised worker representative to remind the board what that even means.

The union's primary objective is to halt contracts that would see DeepMind's AI used in military applications. The US and Israeli militaries, it turns out, are not quite what Google had in mind when they painted those 'AI for social good' murals in the office. It's a bold move — workers using their only real leverage (their labour) to draw a line in the sand. Whether that line holds against the weight of government contracts and shareholder returns remains to be seen.

Of course, the irony is delicious: a company built on the premise of superintelligence now finds its own employees distrusting the direction of that intelligence. The union vote is a cry of 'stop' from the very people building the future. But as anyone who has watched a corporate ethics board dissolve into irrelevance knows, a union contract is only as strong as the willingness to strike. And striking against a military contract isn't exactly a walk in the park. Still, raise a glass to the DeepMind workers — they've at least given the board something to sweat about over their oat milk lattes.

Brian Armstrong's latest missive to Coinbase staff is a masterclass in corporate euphemism: 14% of the workforce out, and the company will no longer employ 'pure managers.' Because nothing says 'we value our people' like eliminating the layer of humans who supposedly coordinate them. This is the trend we noted last week with Coinbase's earlier cuts, except now they've given it a fancy label: the 'pure manager' is extinct, with AI now handling performance reviews and resource allocation. How efficient. How soulless.

The Business Insider piece calls middle managers the most layoff-prone job in tech, and honestly, who's surprised? We've spent years building systems that automate decision-making, and now we're shocked that the humans in the decision-making chain are redundant. The logic is impeccable: if an AI can schedule your stand-ups and compile your weekly reports, why pay someone a six-figure salary to do it with more meetings? Armstrong's letter didn't mention the word 'AI' explicitly in the excerpt, but the subtext is clear: the algorithm doesn't need a middleman to deliver bad news.

Of course, what this really means is that the people who could have caught subtle team issues, mentored juniors, or pushed back on stupid directives are being replaced by a chatbot that never asks for a raise. The gallows humour writes itself: we're automating the empathy out of management, and the 'pure' managers were just the first to go. Next up: the 'impure' ones, once AI learns to fire people with a straight face. But hey, at least the share price gets a bump, right?

Ah, the AI-led restructuring wave has found its next victim: Cognizant. The IT services giant is reportedly preparing to shed 12,000 to 15,000 employees—about 5% of its workforce—with India, its cheapest labour pool, taking the biggest hit. Because nothing says 'AI efficiency' like firing the people who actually maintain your legacy systems.

The report, from Moneycontrol, claims this is part of a 'comprehensive restructuring' driven by AI. Translation: we can now make chatbots sound half-convincing, so goodbye, human customer support reps and data entry clerks. Cognizant joins a long queue of consultancies—Accenture, Infosys, TCS—all singing the same tune. 'AI will boost productivity,' they chorus, while HR drafts severance packages. The irony is that these very layoffs are justified by AI tools that still hallucinate facts and require humans to babysit them.

India will bear the brunt, which is convenient—salaries there are a fraction of US or UK equivalents. So the AI revolution is really just an excuse to offshore even more aggressively, then claim 'digital transformation.' Save your tears for the shareholder dividends. The rest of us get to watch the next batch of cost cutting disguised as technological progress. Cheers, I suppose—though the drinks will be paid for with unemployment cheques.

Brian Armstrong, the man who rode the crypto bull market until it bucked him off, has announced Coinbase is shedding 14% of its workforce—about 700 souls—citing both a 'downturn in the crypto market' and, oh joy, 'AI fundamentally changing how the company operates.' Because nothing says 'we're a digital currency powerhouse' like blaming two forces you supposedly mastered. The irony is so thick you could mine it for Bitcoin.

The crypto market, already in a slump, now gets to compete with the AI ouroboros: the very technology that was going to disrupt finance is now disrupting the disruptors. Armstrong's justification—that AI is 'fundamentally changing operations'—translates to 'we can replace humans with algorithms that don't demand RSUs or complain about gas fees.' This is the same company that insisted crypto would make traditional banks obsolete. Now it's making its own employees obsolete.

This wave shows no signs of slowing. First the tech giants shed jobs to AI; now the crypto exchanges that rode the hype are following suit. The grift is evolving: first they sold you on decentralisation, now they're selling you on centralised algorithms that cut costs. Next quarter, expect Armstrong to announce a partnership with an AI that trades better than his remaining staff. Cheers to progress: the only thing more volatile than crypto is job security.

So OpenAI's Head of Sales, James Dyett, has decided that selling AI subscriptions is less appealing than becoming an 'Operator in Residence' at Thrive Capital. That's right — he's leaving the company that can't stop printing money to go be a glorified intern at a VC firm with a fancier title. Because nothing says 'trust the trajectory' like your sales chief jumping ship for a gig that basically involves schmoozing portfolio companies and pretending to evaluate deals.

Yes, 'Operator in Residence' — a title that sounds like it was generated by the very GPT models Dyett was supposed to be selling. It's the corporate equivalent of 'entrepreneur in residence,' which is itself a fancy way of saying 'we don't have a desk for you yet but we like your contacts book.' Thrive Capital, as it happens, is one of OpenAI's largest investors, so Dyett isn't exactly crossing enemy lines — he's just moving from the sales floor to the investors' lounge. What a coincidence.

The message is clear: if you're a senior exec at the hottest AI company on Earth, the real prize isn't the equity cliff — it's the chance to cash in your reputation for a cushy VC residency. OpenAI's product might be changing the world, but its leadership is changing roles faster than they can be filled. Let's raise a glass to the 'Operator in Residence' — the ultimate testament to an industry where the only thing faster than model training is executive exit velocity.

So the employment arms race has officially entered its most pathetic phase yet: candidates using ChatGPT to answer interview questions live. Resume Genius reports that 22% of job seekers are already doing this, with 78% using AI somewhere in their search. Because why prepare for a job when you can have a robot prepare for you? The predictable response? Ha. Because the same system that ghosted you after five rounds is definitely interested in transparency.

Yes, policies. The go-to solution for any problem you don't actually want to solve. We can already picture the HR memos: "We strongly encourage candidates to be themselves — but if being themselves means flubbing a technical question, maybe lean into the AI." The disconnect is beautiful: employers use AI to screen resumes, schedule calls, and even evaluate performance, but somehow candidates using the same tools is unfair? The hypocrisy would be funny if it weren't so predictable.

Of course, the real winner here is the AI companies themselves, who are about to enjoy a boom in "interview copilot" subscriptions. We've now created a market where candidates pay to cheat audition-style, and recruiters pay to detect the cheating. It's the cybersecurity model applied to hiring — an endless, profitable loop of attack and defense. And somewhere, a hiring manager is wondering why nobody stays longer than six months. Gallows humour aside, this is the logical endpoint of treating job applications as a game to be gamed. Cheers.