The News,
Decoded.

Oh, marvellous. The one-percenters are now being told they're not quite rich enough to deserve a warm, flesh-and-blood human money-manager. According to McKinsey's latest consultancy-droid wisdom, wealth managers are realising that clients with a paltry $1 million — the so-called 'mass affluent' — can be fobbed off with AI-driven advice that's 'near-private-banking quality.' Near-quality. Absolutely smashing. So the message to anyone with a mere seven-figure portfolio is: sorry, chum, you're now entry-level for a glorified chatbot. Human attention is reserved for the 'actual' rich, presumably those who still have a butler to answer the door.

The delicious irony is that McKinsey itself has been evangelising AI's cost-cutting miracles for years, and now the industry has finally listened: why pay a human to butter up clients when an algorithm can do it for pennies? The report doesn't mention what happens when the AI recommends a few dud investments and the client loses their 'mass affluent' status — but I'm sure there's a chatbot for complaints, too, probably trained on Kafka's 'The Trial.' The 'mass affluent' label was always a bit patronising, but being downgraded from semi-VIP to automated queue-bait is a new level of financial snobbery.

And let's not pretend this is about efficiency. This is about the relentless pursuit of margins, where the definition of 'worth human attention' keeps inching upward. First it was retail investors, then the merely affluent, and now the million-dollar club. But hey, at least the AI will never judge you for having a manager with halitosis. Small mercies, eh?

India's IT sector, the darling of global outsourcing, has finally discovered a problem its endless supply of engineering graduates can't solve: the AI skills gap. Oh, the exquisite irony. The industry that built its empire on cheap, plentiful talent is now petrified because that talent doesn't magically know how to fine-tune LLMs. The Hans India report calls workforce readiness 'critical for organizational adaptation' — corporate-speak for 'we're all about to be caught with our trousers down.'

And here's the real knee-slapper: this gap didn't appear overnight. Companies have been quietly slashing training budgets while simultaneously boasting about AI-driven efficiency gains. They replaced humans with chatbots, then acted surprised when the surviving humans lacked cutting-edge AI skills. It's like firing the mechanics and then wondering why the fleet isn't maintained. The report frames this as a challenge to be solved with more training, because nothing says 'we learned our lesson' like expecting crash courses to fix years of underinvestment.

But the best part? The goalposts keep moving. Today's critical AI skills — prompt engineering, basic model fine-tuning — will be obsolete before the first bootcamp graduation. The gap isn't closing; it's a treadmill that gets faster every quarter. India's IT sector is chasing a horizon that recedes with every breakthrough. Workforce readiness? More like workforce running to stand still, sweating, while the machines watch impassively. Splendid fun all round.

So here's a plot twist that only someone who has never met a human being could find surprising: workers are becoming 'the next big AI logjam'. The FT reports that employee adoption and resistance are now the critical bottleneck in AI deployment. Apparently, after two years of C-suite promises that AI would 'augment' and 'empower' everyone, actual human beings have the audacity to view the technology with... skepticism. The gall.

Remember when Pinterest bravely slashed its workforce to pour everything into AI? Well, now we see the other side: the people left behind aren't exactly thrilled to be AI's lab assistants. The FT's piece confirms what anyone who works in an office could have told you for free: employees are not eager to hand their jobs over to a chatbot that occasionally recommends glue on pizza.

The tech industry has spent billions on models and infrastructure, only to discover that the biggest unsolved problem is a tired middle manager who doesn't trust the chatbot's output. The true benchmark for AI adoption isn't passing the Turing test — it's convincing Diane from accounts to stop re-typing everything the model generates. Good luck with that.

So Pinterest has decided that the best way to make up for firing a chunk of its workforce is to build a chatbot that tells you what to buy. The social-media-for-crafting platform announced Ask Pinterest, an experimental AI shopping app, arriving five months after it swung the axe on its own staff to redirect resources toward AI. Because nothing says 'we value our employees' quite like outsourcing their jobs to a large language model that makes shopping recommendations. The name itself is a question: 'Ask Pinterest' — because nothing instills confidence like a chatbot with a question mark baked into its brand. The answer, presumably, will be 'more ads.'

The timing is impeccable: cut people, then launch an AI that will answer customer queries, presumably replacing even more roles. The company claims this is a 'big bet' on AI, as if the layoffs were just a necessary rebalancing of the cosmic scale. One can almost hear the HR script: 'We're excited to redeploy our talent into the future of conversational commerce.' Meanwhile, the ones who were doing the actual work are probably on LinkedIn, wondering if they can get Ask Pinterest to polish their resumes and generate cover letters for roles at companies that don't see them as a cost centre.

The app is experimental, which means if it fails, the blame will be on the technology, not the decision to fire half the workforce. If it succeeds, Pinterest will be a lean, mean, AI-driven machine — and the remaining employees get to beta test job security. Either way, the message is clear: humans are a temporary scaffolding, and the AI is the permanent architecture. Ask Pinterest might not know where to find the nearest hardware store, but it knows where the cost savings are. Welcome to the post-work future, where you're not just replaced by a chatbot — you're replaced by one that asks you questions first.

Ah, California. Land of tech utopias and regulatory hand-wringing. Governor Gavin Newsom has signed an executive order directing state agencies to 'study' AI-driven workforce disruption through data collection, employment trend monitoring, and 'worker safeguards.' Because nothing says 'we're on top of this' like commissioning a multi-year study while the ground shifts beneath your feet. The order is billed as a 'first-in-the-nation effort' — as if being first to admit you're unprepared is a badge of honour rather than a white flag.

The gap between rhetoric and reality is breathtaking. Newsom's order talks about 'worker safeguards' — but safeguards against what, exactly? The AI that's already being deployed in call centres, legal document review, and even some white-collar roles? Or the AI that hasn't yet arrived but will make the current wave look like a gentle ripple? The executive order seems to assume that if you can measure the disruption, you can control it. But by the time the data is collected, tabulated, and analysed — perhaps in 2028 or 2030 — those jobs will have already vanished, replaced by something we didn't think to measure.

And let's not forget the delicious irony: California, home to the very companies building this technology — OpenAI, Anthropic, Google, Apple — now has to study the consequences of their own products. It's like throwing a party and then commissioning a study on how loud the music is after the neighbours have already called the police. The order may be 'first-in-the-nation,' but it's also a textbook example of closing the stable door after the horse has bolted — or in this case, while the horse is still galloping away, with Newsom's team taking detailed notes from the stands. You can almost hear the robots laughing as the study gets underway.

NatWest's CEO Paul Thwaite has gazed into the crystal ball and seen that AI will 'definitely' change the bank's 60,000-strong workforce. 'Definitely' is doing a lot of heavy lifting there, because what he means is 'many of you will be surplus to requirements, but we can't say that yet.' He declined to confirm whether the headcount would actually shrink, which is corporate-speak for 'yes, obviously, but we need to manage the narrative until the next earnings call.'

This is the dance every bank does. They talk about transformation, upskilling, and redeployment—polite words for a firing squad with a severance package. NatWest isn't alone; the entire sector is salivating at the prospect of replacing expensive humans with algorithms that never ask for a raise. The CEO's carefully chosen evasion is a masterclass in saying nothing while admitting everything.

So 60,000 employees get to enjoy the warm glow of 'definite change' without a definitive 'yes you're fired.' But at least they can take comfort in knowing the AI that replaces them will be incredibly polite about it. Meanwhile, Thwaite will be handsomely rewarded for overseeing this efficiency drive. Cheers, Paul. Another round of 'strategic workforce realignment' for everyone.

Ah, the Yale Budget Lab has crunched the numbers and delivered the sobering truth: AI has had a 'modest impact' on U.S. jobs since ChatGPT's release in 2022. Modest. That's the word they chose. Because nothing says 'revolutionary technology destined to upend civilisation' quite like a shoulder shrug from a budget lab. They say it's 'changing jobs more than eliminating them' — a classic bit of academic doublespeak that lets everyone pretend the ground isn't slowly shifting beneath their feet. One can almost hear the sighs of relief from the tech bros who promised us a job-pocalypse.

The real kicker is the comparison: AI's impact is 'similar to the impact of the internet and computers.' Right. Because the internet only obliterated print media, retail, and the concept of privacy. And computers? They just replaced half the office workforce with a spreadsheet. So AI is on track to be as disruptive as the things that already upended our economy — but this time it's different, apparently. The Yale Budget Lab says so, and they have charts.

So there you have it: AI is a modest little helper, gently rearranging the deck chairs on the Titanic. Don't mind the fact that 'changing jobs' often means 'making them more precarious, automated, or outsourced to a chatbot.' But hey, at least it's not worse than the dot-com bubble. Yet. Give it a decade, and we'll look back at this 'modest impact' like we do the early internet — a quaint precursor to the glorious, algorithm-run dystopia we were all warned about.

Oh, brilliant. Turns out remote workers aren't just getting laid off—they're getting laid off *more* than people replaced by AI. A poll says they're 'far more likely' to be shown the door than to be swapped for a chatbot. So all that talk about flexibility and work-life balance? Just a nice appetiser before the pink slip. Meanwhile, a *Science* study drops the cheery news that remote workers account for a third of the mental health decline since 2011—because nothing says 'wellbeing' like staring at Slack from your kitchen table while your Zoom background mocks you.

Solo remote employees are taking the hardest hit, apparently. The isolation that was sold as 'freedom' turns out to be a one-way ticket to distress, with the added bonus of being first in line for layoffs. Because why fire the person in the office when you can quietly cull the one who's been a disembodied voice for three years? It's efficiency! Or cost-cutting dressed up as flexibility. Hard to tell these days.

The real punchline? The AI that's supposedly coming for jobs isn't the main threat—it's the bosses who realised they don't have to pay for your commute coffee anymore. So remote workers get the double whammy: psychological isolation *and* job insecurity. But hey, at least you can wear pyjamas to your exit interview. Silver linings.

So Klarna, the buy-now-pay-later darlings who gleefully sacked the equivalent of 800 full-time customer service agents and replaced them with AI, have now discovered a shocking truth: sometimes customers want to talk to a human. But rather than admit they might have been a bit hasty, they're piloting a 'hybrid model' that brings humans back as gig workers. Because nothing says 'we value our staff' like treating them like Uber drivers for complaints.

The maths here is deliciously dystopian. Klarna automated 800 full-time roles and then, when the chatbot started hallucinating refunds or something, decided to rehire a fraction of those people—but as zero-hour contractors with no benefits, no sick pay, and no job security. It's the corporate equivalent of smashing your favourite mug, gluing it back together, then charging yourself rent to use it. The gig economy: where your old job comes back but now it's your side hustle.

What's truly beautiful is the framing. This isn't 'we made a mistake by firing everyone', it's 'we're innovating workforce flexibility.' The same playbook Amazon, Uber, and every other tech giant uses: shred full-time employment, call it 'agile,' and pat yourself on the back. Klarna's CEO Sebastian Siemiatkowski has been cheerleading AI's job-destroying potential for years, and now we see the punchline: humans aren't eliminated, just degraded. Welcome to the hybrid model—it's a worse job for less pay, and you'll be grateful for it.

So Jeff Bezos, the man who built a fortune on warehouse robots and algorithmic efficiency, took to the stage at VivaTech to reassure us that AI will actually spark a labour shortage—because apparently the robots are going to get bored and quit.

This is the same Bezos whose company has shed tens of thousands of roles in the name of 'operational efficiency,' but never mind: the robots are coming for the boring jobs, leaving humans to… do the jobs that don't exist yet. It's a neat trick, positing a shortage of the very thing you're actively automating away. Perhaps the labour shortage will arrive just in time to staff the Amazon fulfilment centres of the future, where humans will compete with robots for the privilege of stacking boxes at 3am.

The logic is so exquisite it could only come from a man whose personal fortune could buy a small country. One imagines the labour shortage will be like the one we currently have for unicorn herders: technically possible, but you wouldn't bet the farm on it. Still, it's a comforting thought for those who'd rather believe in a future where we're all too busy to work than one where we're all too redundant to bother.

Aha! Another one bites the dust. Rackspace Technology, that plucky little cloud services firm that once promised to help businesses with 'fanatical' support, has decided the best way to embrace enterprise AI is to give 15% of its employees the heave-ho. The company is 'pivoting,' you see — because nothing screams 'cutting-edge AI strategy' quite like a 15% workforce reduction. It's the kind of pivot that would make a ballet dancer dizzy, but for shareholders, it's a smooth move.

The firm expects to save up to $85 million annually from these cuts. That's $85 million that will no longer be spent on salaries, benefits, or those pesky human things like coffee breaks. Instead, the money will presumably be reinvested in 'enterprise AI,' which in practice means licensing some model, slapping a dashboard on it, and calling it a transformation. Meanwhile, the thousands of employees being let go can console themselves with the knowledge that their livelihoods have been sacrificed on the altar of a quarterly earnings bump.

This is, of course, the same song we hear every quarter from tech firms — 'we're pivoting to AI' is the new 'restructuring to focus on core competencies.' Rackspace joins a long and growing list of companies using artificial intelligence as a pretext for cost-cutting. The irony is that the very people who built and maintained the cloud infrastructure that makes AI possible are now deemed expendable by it. If this is the future of enterprise AI, the future looks an awful lot like a severance letter.

Ah, Bernie Sanders has decided that if you can't regulate them, you might as well own them. His AI Sovereign Wealth Fund Act proposes a one-time 50% tax on the stock of the largest AI companies, creating a sovereign wealth fund worth an estimated $7 trillion. Because nothing says 'responsible stewardship of transformative technology' like the same government that can't process a passport application in under six months taking a controlling stake in the companies building god-like intelligence.

Let's be clear: the tax is on stock, not cash, so the AI giants would have to either dilute themselves or sell assets to pay up. But hey, who needs shareholder value when you have a vaguely worded bill and a press release? The fund would be managed by the government, presumably with the same efficiency as the DMV, the USPS, and the IRS combined. And the $7 trillion estimate? Based on the assumption that stock prices stay high after you announce a 50% seizure. Good luck with that.

But the best part is the framing: 'public direct ownership of AI companies.' Because the public definitely wants to be on the hook for every hallucination, every biased hiring algorithm, every autonomous car fender-bender. And when the fund inevitably underperforms, we'll get to hear the usual chorus: 'We need more funding, more oversight, more committees.' The only thing missing is a plan for who gets to decide when the AI goes rogue — a town hall meeting, perhaps?

Orion, a software company for financial advisors, has opened a 24,000 square foot office in King of Prussia, Pennsylvania. The big news? They're transitioning to an 'AI native' workforce. Over 100 human employees will occupy the new space, presumably blissfully unaware that they've just been rebranded as a separate species. One imagines the hiring manager: 'We don't just want humans, we want *AI native* humans. You know, born with a TensorFlow implant.'

Financial advisors, who've spent decades learning human psychology and tax laws, are now encouraged to think of themselves as 'native' to something that didn't exist five years ago. It's like calling someone a 'smartphone native' in 2012 — technically true, but utterly meaningless.

The expansion itself is a modest 24,000 square feet, which for a 'native' workforce is surprisingly analogue. No server racks, no cooling systems — just desks and maybe a water cooler. But Orion's real estate move is a perfect microcosm of the AI hype cycle: buy the office, slap 'AI native' on the sign, and hope the branding covers the fact that you're still selling software to people who think a Roth IRA is a type of coffee. At least they're honest about the 100 humans — for now.

Splendid. The National Geospatial-Intelligence Agency has finally discovered that computers are useful for more than solitaire. Rear Adm. Michael Baker now requires every new hire to 'prove some capability of AI and data management,' because nothing says 'spy agency' like a tick-box exercise in Python. And for the poor sods already there? Mandatory training in AI and data management — because nothing boosts morale like being told your decade of intelligence work counts for less than a weekend Coursera course.

Excellent. But can you fine-tune a transformer model? No? Next!' The implicit message is clear: the human eye is obsolete; the algorithm is ascendant. Baker's decree is a microcosm of a government running breathlessly after Silicon Valley, convinced that adding 'AI' to any process is the magic fix. Never mind that most geospatial analysis still requires contextual understanding no current model possesses.

So the NGA will spend millions retraining its workforce while likely discovering that AI tools are great at finding patterns and terrible at explaining why they matter. The new hires will have AI skills but zero domain knowledge, and the old hands will have domain knowledge but resent the enforced upskilling. A perfect recipe for an organisation that will soon be able to produce twice as many satellite images with half the insight. Progress, everyone.

So India now has 9.2 lakh 'AI professionals' — a figure that sounds impressive until you learn that over 70% of them work in roles that have nothing to do with AI specialisation. That's like celebrating a football team's squad depth by counting the kit managers and physios. Quess Corp's report cheerfully notes that hiring demand has shifted 'from experimentation to execution,' which is corporate code for 'we've finished playing with the toy and now need someone to make it do something useful before the shareholders get twitchy.'

The numbers paint a picture of a workforce that's being rebranded rather than retrained. Every data entry clerk who now uses an auto-complete tool is suddenly an 'AI professional.' Every marketer who asks ChatGPT to write a tweet — boom, AI workforce. It's a brilliant statistical sleight of hand: if you define the term broadly enough, you can claim victory while the actual number of people building or aligning frontier models remains a rounding error.

One has to admire the timing. As Western tech companies announce their fourth round of layoffs this year, India's narrative is all about growth — even if that growth is mostly in the margins. The 'execution' phase they're so proud of will inevitably mean automating away many of those very roles. But why dwell on that when you can headline with 9.2 lakh? Pass the chai and the Kool-Aid.

So another tech company has discovered that the 'AI era' is a perfect excuse for a headcount reduction. Optimove, a marketing platform for the gambling industry, has slashed 10% of its workforce, with CEO Yakuel explaining that AI is 'rapidly changing what it takes to build and lead a great software company.' Naturally, because nothing says 'great software company' like firing a tenth of your staff while invoking the magic letters A-I. The quote is a masterpiece of corporate doublespeak: blame the future, avoid accountability, and make sure the survivors know they're lucky to still have a desk.

As we noted earlier this week, tech firms are laying off humans while simultaneously begging for AI-savvy replacements. Optimove has simply harmonized both impulses in one tidy announcement. Yakuel also said AI alone isn't enough to make a good product — so they're keeping some humans around, but only the ones who can keep up with the machines. The gambling industry, already built on exploiting human weakness, is now using AI to exploit its own employees.

The 10% figure, by the way, is almost quaint compared to the massive Meta and Google layoffs. But Optimove's move is a perfect microcosm: a mid-sized company using the AI narrative to trim costs, send a shiver through the remaining staff, and pretend it's being visionary. The real message: adapt or be replaced. And the house always wins.

So tech companies are laying people off left and right, but they're also screaming for AI-savvy hires. A new ICIMS report shows U.S. job openings up 9% year-over-year in May, while hiring limped along at just 1% growth. That's the sound of an economy that's learned to advertise positions beautifully but can't actually seal the deal — or perhaps it's just that the 'talent pool' the C-suite dreams of (someone who already knows their proprietary stack, has five years of experience in a two-year-old field, and will work for equity and kombucha) doesn't exist.

The report singles out computer programmers as a particular sore spot: job openings in that category surged 35%. But with hiring barely budging, it's clear companies want AI-savvy programmers who can hit the ground running — because heaven forbid they train anyone. Never mind that the same companies have been shedding workers, including programmers, in recent waves of 'restructuring.' The message is unambiguous: we want the perfect candidate, but we're not willing to invest in growing one. The talent pool isn't keeping up? No, the brain drain and lack of reskilling are self-inflicted wounds.

And so the farce continues. Workers laid off from one tech giant are told to go learn AI, only to find that the jobs they're qualified for now require AI expertise that no one helped them acquire. The 9% openings figure is a taunt, a sign of a system that's optimised for vacancy announcements, not actual employment. The ICIMS report is a snapshot of a labor market that can't coordinate its own supply and demand — which, if you're feeling generous, is a perfect metaphor for the industry that promised to optimise everything.

Mark Zuckerberg admitted Meta made 'mistakes' earlier this week, and now his CTO has confirmed that the 'we're sorry' tour has reached its logical destination: employee morale is among the worst in 20 years. Andrew Bosworth's memo, obtained by Wired, is a masterpiece of corporate euphemism — 'morale is among the lowest we've seen in our 20-year history.' Twenty years! Imagine the data set behind that finding — all those free lunches, on-site laundry, and fish tanks. And still, the C-suite is surprised that turning your workforce into a revolving door for AI replacements might dampen spirits.

Bosworth's waltz comes hot on the heels of Zuck's own mea culpa about the 'workforce transformation not being handled perfectly.' Perfectly? They've turned 'restructuring around AI' into a euphemism for 'we don't need you anymore,' and now they're shocked — shocked! — that the survivors are sulking. The memo is a textbook example of 'we value our employees' while treating them as fungible tokens on a P&L spreadsheet. One wonders if the AI will eventually write its own morale-boosting memos, which will be cheerfully ignored.

The real kicker? All this 'AI-first' strategy isn't exactly yielding productivity miracles — earlier reports from other tech giants show negligible gains. So Meta is bleeding talent, tanking morale, and betting the farm on a technology that hasn't paid off yet. But sure, let's keep restructuring. Perhaps the next internal survey will ask about 'existential dread' alongside 'engagement.' At least we'll have a new low to benchmark against next quarter.

Harrison.ai has blessed us with Harrison.Rad 1.5, a radiology foundation model that 'drafts reports for radiologist review.' Translation: the AI does the work, and the radiologist gets to be the proofreader. Because nothing says 'efficiency' like automating the creative part and leaving the boring double-check to humans. The company probably sells it as 'augmenting' radiologists, which is corporate-speak for 'we're making you a reviewer of your own replacement.'

Let's be honest: this is another step toward the radiology department being a room full of people nodding at AI-generated text. The model uses 'imaging and clinical context,' which sounds impressive until you realise that context is just a fancy word for 'the notes the human wrote before.' The real innovation here is that Harrison.ai has figured out how to make radiologists pay for the privilege of being deskilled.

Of course, the press release doesn't mention how many lawsuits will follow when a radiologist trusts a model's 'draft' and misses a tumour. But who cares? We're 'augmenting'! Maybe in version 2.0, the AI can also absorb the malpractice insurance. That would be a real 'foundation model.' Until then, enjoy your new role as clipboard-holder for a machine that can't even buy its own coffee.

Mark Zuckerberg has finally done something unprecedented: admitted that his company made mistakes. In an internal memo, the Meta CEO confessed that the AI workforce transformation wasn't handled perfectly and pledged to find new roles for reassigned workers. A bold move from a man whose previous management style could best be described as 'move fast and break careers.' The memo, inevitably leaked to a credulous press, is a textbook example of corporate absolution: acknowledge error without specifics, promise vague remediation, and hope the headlines read 'Zuck Shows Humility' rather than 'Meta Admits Bungling Yet Another Pivot.'

This is the same company that, as part of the tech layoff bonanza we've been tracking, has shed thousands of employees in the name of 'efficiency.' The same company that spent billions constructing a virtual reality nobody wanted and is now frantically chasing the latest hype cycle. And now, apparently, even the hype cycle itself is proving tricky to manage. The 'mistakes' Zuckerberg alludes to almost certainly involve reassigning staff to AI roles they weren't suited for or laying them off entirely — but don't hold your breath for a breakdown of those details. The memo's promise to 'find new roles' is corporate guff for 'we'll try our best, no guarantees.'

Meanwhile, the regulatory machinery churns on, producing discussion drafts named after patriotic concepts while employees get memos. Zuckerberg admits the obvious: big AI transitions are messy. But the lesson seems lost on an industry that continues to treat human beings as variable costs to be optimised out of existence. Another day, another memo. Cheers to progress.