The News,
Decoded.

Well, here's a plot twist that'll give tech executives a nice alibi. Researchers have published a study claiming work-from-home exposure is a 'stronger predictor of weaker junior hiring' than generative AI exposure. How convenient. Just as public anxiety about AI job displacement peaks, along comes a paper that lets CEOs off the hook: 'Don't look at our AI-powered chatbots, it's the remote workers eating entry-level jobs!' It's the perfect corporate deflection — blame the WFH staff for not mentoring, not the algorithm that now does half the junior analyst tasks.

The study, covered by Business Insider, pinpoints the decline in entry-level roles more on remote work challenges than on AI. So the message is: no need for pesky AI regulation, just force everyone back to the office and junior hiring will magically recover. Of course, this conveniently ignores that many companies are actively replacing junior roles with AI tools — the researchers just happened to find a stronger statistical signal from WFH. But statistics are funny like that; they can show correlation while missing the elephant in the server room.

So what's the real takeaway? Tech firms can now say they're protecting jobs from AI while demanding return-to-office orders — a two-for-one special in dismissive management. And the entry-level workers? They'll be crushed between the AI that replaced their application screening and the senior staff who refuse to train them over Zoom. Cheers to progress, where the biggest threat to a junior job is the inability to overhear office gossip. But at least it's not the robots, right? Right?

Ah, Groupon. Remember when it was a daily deals empire? Now it's a cautionary tale with a new AI-native strategy, which apparently requires sacrificing 400 employees on the altar of 'restructuring.' The company approved the plan to 'support its AI-native strategy' — because nothing says artificial intelligence like laying off a chunk of your workforce. The expected savings will fund AI investments, presumably to build a chatbot that can tell you why you shouldn't have bought that Groupon for a hot air balloon ride.

Groupon is at least admitting the obvious: your job is being replaced by a model trained on your work. At this rate, we'll have a 'layoff transparency index' — companies graded on how forthright they are about swapping humans for algorithms. 'We're cutting 400 people to fund our AI pivot' is a solid B-minus.

So 400 people are now collateral damage in Groupon's quest to become 'AI-native.' What does that mean? Probably a recommendation engine that suggests deals you don't want, but faster. The real innovation here is the restructuring press release, which has become a genre unto itself: vaguely peppy language masking a headcount reduction. Welcome to the future, where your severance is sponsored by 'synergy with our AI strategy.' 🍺

Intuit CEO Sasan Goodarzi has cut 3,000 jobs — 17% of the workforce — and closed two offices, but please, don't you dare suggest it's AI-related. In a Mad Money interview, Goodarzi insisted the layoffs are 'not about AI,' even as the company plows millions into its 'AI-driven expert platform.' Sure, and the sky is not blue. The coincidence of firing a sixth of your staff while pivoting to automation is about as believable as a tax refund from the IRS arriving on time.

Goodarzi's denial is a masterpiece of corporate gaslighting. He claims the cuts are about 'reprioritizing resources' — because nothing says 'reprioritization' like shoving 3,000 people out the door while simultaneously investing in the very technology that will make their roles obsolete. The closures of offices in Reno and Woodland Hills add a delightful geographic touch: let's abandon entire communities, but call it 'restructuring.' Perhaps the CEO truly believes that replacing customer support with chatbots is just a happy accident of strategic realignment.

So here we are: another quarter, another round of mass layoffs, another CEO swearing blind that AI had nothing to do with it. The gallows-humour crowd knows the script by now. First, deny. Second, vaguely promise new jobs in 'AI-driven areas.' Third, watch the stock tick up as the severance checks go out. Goodarzi can protest all he wants on CNBC, but the pattern speaks louder than any denial. The only question left is whether we'll eventually run out of people to fire before the machines learn to laugh at our little jokes.

Oh, wonderful — another AI-powered band-aid for a problem AI helped create. DockSec, an OWASP incubator project, uses AI to correlate findings from container security scanners and generate 'plain-English remediation guidance and Dockerfile fixes.' Because nothing says 'trustworthy' like an AI telling you how to fix vulnerabilities your own AI-generated code probably introduced. The OWASP incubator tag suggests this is promising enough for a science fair project but not yet ready for prime time — exactly the kind of confidence that has made container security such a joy.

DockSec aims to 'cut through vulnerability noise' in Docker images, which is a polite way of saying that current scanners produce so many false positives that nobody bothers fixing anything. So now we'll have an AI that produces plausible-sounding fixes for problems that may or may not exist. If it hallucinates a fix, at least it'll be in plain English — you can enjoy the grammar while your production cluster burns. The project correlates findings from multiple scanners, which is clever, but correlation isn't causation, and neither is 'AI-generated Dockerfile.'

Let's be honest: this is a classic security-adjacent startup move — solve a problem created by tool overload with another tool. The real question is whether DockSec will introduce its own set of vulnerabilities in the process. After all, the open-source package that imperiled millions of AI agents we flagged last week relied on the same kind of AI-assisted development pipeline. But hey, at least now we'll have an AI that can write an apology letter in plain English.

Well, here we go again. Security firm X41 D-Sec has discovered a critical vulnerability in Starlette, an open source framework that underpins millions of AI agents—because what could possibly go wrong when your autonomous software agents rest on a free, community-maintained web stack? The flaw allows hackers to breach servers and access sensitive data, which is fine, really, if your AI agents aren't doing anything important like handling patient records or trading algorithms.

Millions of agents imperiled. That's the actual number—not 'some agents,' not 'a few thousand,' but millions. And let's not pretend this is a surprise: the open source model that labs love for its speed and cost has the same old security problems, just repackaged for the AI era. X41 D-Sec presumably did its due diligence and disclosed responsibly, but the fix has to propagate through countless deployments, many of which probably don't have a patch pipeline.

So the labs will scurry, push updates, and declare the crisis over. Meanwhile, every AI agent is still a few unpatched endpoints away from being a glorified data exfiltration tool. The gallows humour writes itself: we built agents to automate everything, including, apparently, the exploitation of our own systems. Pass the pinot—it's been a long few years.

Oh, brilliant. The Rajasthan government has signed a non-financial MoU with the Wadhwani AI Foundation — because nothing says "commitment to agricultural transformation" like a three-year free trial of an AI chatbot and pest detection. At no cost to the government, of course. Because when has a government ever turned down something free, especially when it comes with buzzwords like "multilingual" and "AI-driven"? The foundation will provide these services for three years, after which presumably the government will either have to pay up or declare the pilot a resounding success and walk away. Either way, the farmers win, right?

Of course, the pest detection system will need to be accurate to be useful, and the multilingual chatbot will need to understand the 30+ dialects spoken in Rajasthan. But hey, those are just details. The real triumph is that the government has successfully outsourced agricultural extension to a private AI foundation without spending a rupee. And if the AI makes mistakes? Well, that's just part of the learning process. The foundation gets valuable data, the government gets a photo op, and the farmers get to be beta testers for free. Everyone wins in this glorious public-private partnership.

Three years is an interesting timeline. Long enough for the foundation to prove its concept, but short enough that the government can quietly let the MoU expire when the next shiny technology comes along. Meanwhile, the agricultural workforce can rest easy knowing that their jobs are being augmented by AI — or replaced, depending on how the pilot goes. But let's not be cynical. This is a non-financial agreement, after all. The price is right, and the risks are minimal. For now.

California Governor Gavin Newsom has issued an executive order directing state agencies to study AI's impact on the labour market and develop strategies for displaced workers, including potential severance standards and transition support. Because nothing says 'bold action' like a commission kicking around a problem for months while the problem compounds. The order is a masterclass in political theatre: appear concerned, use the right buzzwords ('severance standards', 'transition support'), but commit to absolutely nothing that might upset the tech barons who bankroll California's economy. It's the classic Sacramento shuffle — announce, study, delay, forget.

'Severance standards' sounds lovely until you realise that corporate lobbyists will shape those standards into something about as generous as a packet of crisps. And 'transition support'? That likely means a website with links to retraining programmes for jobs that will themselves be automated within three years. This is the same state that has spent years debating gig-worker protections while gig platforms grew into behemoths. Newsom's executive order is a well-meaning but toothless response to a tidal wave — it buys time, but not for workers. Meanwhile, companies continue to automate at full speed, because why wait for a study?

The order will no doubt produce a thorough, well-reasoned report full of recommendations that will be quietly shelved once the next crisis hits. By the time the study concludes, the disruption it was meant to address will have already reshaped the labour market beyond recognition. But at least someone thought about it. That's California's motto: study first, act never, hope for the best. Cheers, governor. We'll raise a glass to your executive order — while we still have a job.

Ah, the 'Wild West' of government AI use. Because nothing says 'frontier spirit' like bureaucrats fumbling with generative models they don't understand. Michigan state Rep. Jaime Greene has nobly introduced a bill to 'study' the issue and 'ensure oversight' — because heaven forbid we actually regulate anything before a fourth study commission reports back in 2029.

Let's be honest: this bill is a masterclass in performative governance. It'll commission a report, which will recommend more studies, which will gather dust while every county in Michigan quietly adopts ChatGPT to write zoning permits and child welfare assessments. The real cowboy isn't the AI — it's the legislators who think a 12-month inquiry counts as 'taming the frontier.'

Meanwhile, the private sector is shipping models with fewer guardrails than a late-night trampoline park. So by all means, Michigan, take your time. The 'Wild West' will be a full-blown Mad Max dystopia by the time your task force schedules its second stakeholder meeting. Yee-haw.

Oh, brilliant. SoftBank is joining the sovereign AI race with a GPU cloud infrastructure thingy. Now it's pivoting to 'sovereign AI' — a term so conveniently vague it can mean anything from 'national pride' to 'we'll host your models and also your data because who needs sovereignty anyway.' The infrastructure is slated to deploy in October, integrated with something called Infrinia AI Cloud OS, a name that sounds like it was workshopped by a committee that really wanted 'synergy' and 'cloud-first' on the same slide.

October deployment, because nothing says 'strategic urgency' like aiming for a month that's always six months away. By the time SoftBank's GPUs actually hum, every state-backed AI lab from Saudi Arabia to Singapore will have signed exclusive deals with Nvidia, AMD, and whichever startup promises the shortest waitlist. But never mind — the Infrinia AI Cloud OS will tie it all together in a 'seamless orchestration layer' that will, presumably, require a separate license, a dedicated team, and a prayer to the gods of Kubernetes. The real race isn't for sovereignty; it's for who can sell the most shovels to governments suddenly terrified that they're falling behind in the AI gold rush.

And what a rush it is. Countries that couldn't build a functional e-voting system are now commissioning 'sovereign AI clouds' as a shortcut to technological independence. SoftBank, ever the happy enabler, is happy to supply the hardware — and collect the rents. The sovereign AI race is, after all, just another name for the sovereign cloud spending spree, and SoftBank's late arrival means it'll have to offer competitive pricing or, more likely, fantastically optimistic timelines. October 2026? Perfect. Plenty of time for the bubble to inflate, pop, and be reframed as a 'learning experience.' Cheers.

OpenRouter has hoovered up $113 million in Series B funding, courtesy of CapitalG, more than doubling its valuation to $1.3 billion in a year. The company sells a unified API for LLMs—essentially a middleman that lets developers compare models without lifting a finger. Because clearly what the AI industry needs is another layer of abstraction, not slimmer margins.

The pitch: as models multiply, developers will pay OpenRouter to avoid vendor lock-in. The reality: the models themselves are racing to become cheaper and easier to use, which makes a toll booth on the highway a risky proposition.

The British Gallows Humour award goes to the revenue multiple. At $1.3 billion, OpenRouter is worth more than many actual AI labs with proprietary tech. This isn't a funding round; it's a dare—a $113 million bet that the market will never demand direct integration, that every developer will remain too lazy to manage multiple API keys. One model collapses in dominance, so does this whole edifice. But hey, it's 2026: something something, we're in a bubble, pass the whiskey.

Oh, marvellous. Another AI model that promises to revolutionise cancer treatment, because clearly the bottleneck in oncology has been a lack of predictive algorithms. Researchers at UC San Diego have unveiled a model that translates a tumor's genetic profile into predictions about treatment response, published in the hallowed pages of Cancer Discovery. One imagines the press release practically wrote itself: "AI will cure cancer" — never mind that the model's actual clinical utility remains a distant mirage on a crumbling road of regulatory approval and insurance reimbursement. The study will no doubt be cited by every AI-in-medicine startup seeking funding, while the clinicians who actually treat patients will continue to rely on their 40-year-old chemotherapeutic regimens.

The study involved training on some dataset of questionable generalisability, producing impressive AUCs that will never see the light of a real hospital. Because the gap between a published paper and a deployed clinical tool is not a gap — it's a chasm filled with FDA denials, hospital IT nightmares, and the quiet desperation of oncologists who have seen this movie before. But don't let that dampen the headlines. UC San Diego has spoken, and the future is here. Again. The model may be able to predict which drugs work on which tumors, but it cannot predict its own journey through the American healthcare system — a system that rewards innovation theatre over actual patient outcomes.

So raise a glass to yet another AI "breakthrough" that will generate a flurry of breathless coverage, a few grant renewals, and exactly zero changes in how cancer is treated this decade. Every few months, another group publishes a model that claims to predict treatment response with remarkable accuracy. Each time, the oncology community yawns and returns to the slow, messy work of evidence accumulation. This model will be no different. It will be validated on retrospective data, implemented at exactly one academic centre, and eventually forgotten when the next shiny AI object appears. Cheers to progress.

Oh marvellous. The Senate Intelligence Committee, in a rare bipartisan moment of clarity, voted 14-3 last week to allow intelligence agencies to prerelease-test AI models for their ability to hack critical infrastructure. Because nothing says 'proactive risk management' like letting the spy agencies have first dibs on picking the locks our own labs are building. The three dissenting votes presumably thought the testing should happen after the models are already deployed, or perhaps they just fancied a bit of chaos with their morning coffee.

The bill's passage is a tacit admission that the AI industry has been shipping models with hacking capabilities like they're party favours. But instead of forcing labs to clean up their act, we're giving the CIA and NSA a chance to play with the new toys before the rest of us get hacked. How terribly sensible. A tweak, mind you, not a rethink.

This is the same body that's been paralysed on broader AI regulation, but they can rally around giving intelligence agencies a head start on weaponizing AI. Because the best defence against AI-powered cyberattacks is having your own government hackers test the offensive capabilities first. What could possibly go wrong? The labs will continue to release models with increasingly potent hacking skills, and now they have a government stamp of approval to do so, as long as the spooks get a sneak peek. Progress, everyone.

Oh, marvellous. The agency literally created to protect America's critical infrastructure is being sent into the AI era with a pat on the head and a reduced budget. Former officials and industry leaders are wringing their hands, but the White House is too busy 'scrambling'—a word that suggests panic rather than planning. CISA's shrinking resources mean it's less equipped to help local governments and hospitals, who are exactly the soft targets AI hackers will feast on.

Meanwhile, AI-powered cyber attacks are getting smarter by the quarter, and Washington's response is to do what it does best: form a committee, issue a memo, and hope the private sector sorts it out. The agency's 'diminished role' is a euphemism for 'we've decided to wing it.' Because nothing says robust cybersecurity like defunding the people who actually know what a zero-day is while praying that Google's threat intelligence team shares their lunch.

The real joke is that everyone saw this coming. The warning signs were there for years, but Congress chose performative hearings over actual funding. Now the White House is 'scrambling', which is Washington-speak for 'we have no plan but we'll pretend we do until the next news cycle.' Raise a glass to the AI future—just make sure it's not connected to the grid.

Oh, marvellous. Reflection AI, the open-source darling valued at a cool $25 billion, has decided that the best way to protect America's national security is to hire a bunch of lobbyists. CEO Misha Laskin is now in Washington, D.C., framing open-source models as a 'national security imperative' — because nothing says 'secure' like giving away the crown jewels to anyone with a GPU. One imagines the pitch meetings: 'We'll give China our best models, but we'll also give you a really compelling PowerPoint about why that's fine.'

Let's be clear about what's happening here. A company whose entire business model is 'release everything for free' is now spending serious cash to influence federal AI policy. The lobbying operation isn't cheap, and the national security framing is a masterstroke: wrap your commercial interests in the flag and dare anyone to oppose you. After all, who wants to be the congressman who voted against 'security'? It's the oldest trick in the book, but with a $25 billion valuation behind it, the book is now a leather-bound first edition.

So now we have an open-source AI company telling Congress how to regulate open-source AI. That's not a conflict of interest — that's a symphony of them. The same people who want models out in the wild are now advising on the guardrails. It's like asking the fox to design the henhouse's security system, except the fox has a PhD in reinforcement learning and a very expensive lobbying firm. What could possibly go wrong?

Oh, splendid. South Africa's communications minister has assembled an 'independent panel' to review a draft AI policy so catastrophically shambolic that it had to be withdrawn for containing, wait for it, 'fictitious and potentially AI-generated references.' Because nothing says 'responsible AI governance' like having your own policy hallucinate itself into existence. The minister assures us a revised version will land by January 2027, with an expert panel report due in November 2026—because, as we all know, the AI revolution will politely wait while South Africa's bureaucracy takes the scenic route.

The earlier draft wasn't just bad; it was apparently so riddled with invented quotes and made-up citations that someone—presumably a human, though one wonders—actually noticed and cried foul. This is the regulatory equivalent of a student submitting an essay written by ChatGPT without removing the 'As an AI language model' disclaimers. The minister's response? Form a panel. Because what a fast-moving technology like AI needs is more committees, more stakeholder consultations, and a deadline eighteen months from now. That'll sort it.

Meanwhile, the rest of the world is either rushing headlong into deployment or desperately trying to slam on the brakes—and South Africa has managed to achieve neither, producing instead a policy so bad it had to be killed by its own government. One can almost hear the metaphorical sound of a country gently parking its AI ambitions in a ditch while the panel solemnly takes notes. Cheers, lads. Don't forget to check if the panel's report is AI-generated too.

Oh, marvellous. The Vatican's newest occupant, Pope Leo XIV, has taken time out from his busy schedule of blessing crowds and appointing cardinals to issue his first encyclical—a fervent manifesto, no less—urging the world to 'slow down' on AI. The good Pope warns that AI spreads misinformation and risks 'unending war,' as if the current state of human conflict needed any help from algorithms.

But the real kicker is the call for data ownership not to be left solely in private hands. Yes, because the Vatican—an absolute monarchy with a secret archive, a bank that's been embroiled in scandals, and a global network of informants called 'confessors'—is exactly the model of transparent data governance we should look to. Never mind that the tech giants are already racing ahead, lobbying regulators into submission, while the Pope's document will spend the next few years being debated by theologians who think 'API' is a type of liturgical vestment. By the time the Catholic Church finishes its consultation process, we'll have AGI writing encyclicals for them.

Of course, one must applaud the ambition. A global slowdown on AI is exactly what we need—right after we get everyone to agree on a common calendar, resolve the schism between Eastern and Western churches, and convince the College of Cardinals that maybe, just maybe, the earth revolves around the sun. The encyclical is a beautiful piece of aspirational thinking, much like asking a toddler to please stop colouring on the walls. But as long as the tech CEOs are making money hand over fist, and governments are busy not regulating anything, the Pope's manifesto will be filed alongside other well-meaning but toothless declarations: harmless, noble, and utterly ignored.

Oh, marvellous. Goldman Sachs has confirmed that the smart money is 'doubling down on AI' by fleeing software stocks faster than a politician caught in a scandal. Semiconductor weight is at a record high, while software is nursing its lowest allocation since 2019. Because nothing says 'betting on the intelligence revolution' like dumping the very companies that build the applications, and piling into the companies that just make the rocks you heat and etch. It's the investment equivalent of buying shares in a bakery because you love bread, but refusing to buy the bakery itself.

The logic, apparently, is that the real value is in the hardware — the shovels, not the gold. But this is Goldman Sachs we're talking about, a firm that has historically been wrong about almost everything at exactly the worst moment. Remember when they advised clients to buy subprime mortgages in 2007? Good times. So now they're telling hedge funds to pile into semiconductors and dump software, which is basically a bet that AI will never need to actually run anything useful — just exist as a potentiality in a server farm. Bold strategy, Cotton.

And what of the software engineers who were told their jobs were safe because 'AI is just a tool'? Well, if the market is already rotating out of software, the message is clear: the AI revolution eats its own. First the applications, then the people who write them. But don't worry — Jensen Huang says blaming AI for job cuts is 'lazy.' So when Goldman's next report shows a record high in semiconductor weight and a record low in software employment, it'll just be a coincidence. Clink. 🍻

Oh, splendid — the first major labour fight over AI's windfall has erupted in South Korea, and California, ever the trendsetter, is already sniffing around for the sequel. Because nothing says 'responsible AI transition' like workers having to strike for a slice of the productivity pie their own labour helps generate. The 'coming AI profit revolt,' as Axios so charmingly puts it, is the inevitable result of telling everyone for years that AI will boost profits while carefully omitting whose profits and at whose expense.

You can almost hear the C-suite panicking: 'Wait, they want a share? But we promised shareholders infinite margin expansion!' The South Korean dispute — reportedly involving Samsung and other tech giants — is a preview of every boardroom nightmare to come. And California, with its 'California socialism' appetites, is already drafting the exploratory committees. Because of course, the state that brought us gig-economy battles and Prop 22 is going to watch this one from the sidelines.

So here we are: the machines get smarter, the executives get richer, and the workers get to fight for scraps. The 'profit revolt' isn't coming — it's here, starting in Seoul and heading to a Silicon Valley campus near you. Grab your popcorn and your union card. This is going to be a glorious, messy, utterly predictable disaster. Cheers.

Oh, lovely. The California State University system, all 23 campuses of it, has decided to spend $17 million of taxpayer money on a no-bid contract with OpenAI for ChatGPT Edu. Because nothing says 'rigorous academic governance' like skipping the tender process and handing a monopoly to a company whose product's main claim to fame is inventing plausible-sounding nonsense. But who needs evidence when you have a sexy name like 'ChatGPT Edu'?

The university's administration claims this is about preparing students for the 'AI-powered workforce'. Because the best way to prepare for a future where your job is automated is to start by automating your own education. The faculty are worried about academic integrity and the erosion of critical thinking. But don't worry — OpenAI's chatbot will write a very convincing essay about why that's actually a reasonable trade-off. The environmental cost of training these models? Oh, that's just the price of progress, darling. Never mind that the same students are supposed to be learning about sustainability.

And the pièce de résistance: this is a 'pilot program' with 'no guarantee of renewal.' So we're spending $17 million on a trial that everyone involved except the people writing the cheque seems to hate. If this were a student's budget proposal, it would be rejected for lack of due diligence. But it's an administration with a tech crush and a no-bid contract, so full steam ahead into the glowing, resource-hungry unknown. Cheers.

Oh, fantastic. The University of Vaasa has conducted a study to tell us that employees who treat AI tools as 'partners' rather than 'threats' are 'more engaged and adaptable.' Absolutely groundbreaking stuff. Because the real problem isn't that AI is about to automate swathes of white-collar work—it's that you, the worker, have a bad attitude. The research, as reported by ScienceDaily, explicitly states that 'falling behind in learning to use AI is a greater risk than AI itself.' So if you lose your job, it's not because the system is rigged; it's because you didn't buddy up to ChatGPT quickly enough. What a convenient narrative for managers who'd rather blame the workforce than confront the structural upheaval.

This is the same logic that tells a factory worker that their redundancy is a 'reskilling opportunity.' The study's cheery framing—'view AI as a partner'—ignores the power imbalance entirely. Sure, individual engagement might help you cling on for another quarter, but it doesn't change the fact that the same AI 'partners' are being used by your employer to thin the headcount. The Vaasa researchers might be brilliant academics, but their 'just learn to love the robot' advice reads like a corporate HR memo dressed up in peer-reviewed clothing.

So by all means, go ahead and buddy up to Gemini. But don't be surprised when your new best friend is also the one processing your severance paperwork. The real takeaway here is not about partnership—it's about how quickly the burden of adaptation shifts from the system onto the individual. That's the Finnish study's hidden gem: the risk isn't AI, it's falling behind. And in this economy, falling behind is a crime you can't appeal.