Podcast
AI Replaced Me
Hosted by Koby Ofek · EN
Is AI coming for your job, or creating your next opportunity? "AI Replaced Me" with Koby Ofek delivers the real story. Each week, we unravel AI's impact on the workforce with sharp insights, compelling narratives, and a touch of irreverence. You'll love it if you're curious about the future of work, enjoy thought-provoking deep dives, and want practical strategies to not just survive, but thrive in the age of AI. Get your weekly dose of clarity and wit on how AI is changing everything.
10episodes
Episodes
Newest firstAll episodes
Ep. 34 - The AI Layoff Paradox
Jan 1700:26:27Tap to summarizeIn this Episode, Koby Ofek dissects the conflicting narratives surrounding AI's impact on the workforce as of January 2026. He challenges the Oxford Economics report that calls AI layoffs "corporate fiction", arguing that companies use AI as a scapegoat for poor management and cost-cutting. Simultaneously, he presents the paradoxical case of Tailwind Labs, where the success and popularity of their open-source framework, accelerated by AI coding tools, led to an 80% revenue drop and 75% of engineers losing their jobs because developers no longer need to visit their documentation site to learn how to use the product. The episode highlights a massive gap between the hype and the implementation of AI and questions the sustainability of current open-source business models in an AI-driven world.
Transcribe →Ep. 33 - Entry Level Extinction
Jan 200:30:23Tap to summarizeIn this New Year kickoff episode, Koby Ofek tracks the first big labor-market pattern of 2026: the career ladder itself is starting to lose its bottom step. Geoffrey Hinton warns that automation is about to speed up, investors openly predict companies will swap headcount for AI budgets, and young workers respond by fleeing “first-rung” office jobs toward trades where reality still fights back. The result is not one clean wave of layoffs, but a quieter crisis: fewer on-ramps, fewer apprenticeships, and a workforce forced to prove value earlier, faster, and more publicly. Koby connects the dots, shares the core logic behind his latest 2026 predictions, and explains why the most important job story this year might be the disappearance of entry-level work, not the disappearance of work itself.
Transcribe →Ep. 32 - The AI Layoff Era Begins
Dec 2700:32:28Tap to summarizeIn this Episode, Koby Ofek discusses how late 2025 marked a shift from AI as a productivity story to AI as a staffing strategy, as companies increasingly cite “AI efficiency” to justify layoffs, reorganizations, and leaner org charts. He explores what record AI linked layoff figures really mean, how Big Tech is “replumbing” work by compressing middle layers and automating internal service functions, and why the most consequential battleground may be entry level roles, the training ground that turns juniors into future experts. Along the way, Koby connects the dots between corporate incentives, talent pipelines, and the emerging barbell shaped company, then closes with forward looking signals for what 2026 could bring for careers, hiring, and the structure of work.
Transcribe →Ep. 31 - Banks leading the way to AI led terminations
Dec 1300:31:19Tap to summarizeIn this episode, Koby Ofek explores how AI is quietly erasing the “first rung” of the career ladder, moving from abstract debates to concrete headcount decisions in banking, hiring, and seasonal work, and asks what happens when the entry-level path into good jobs starts to wobble. He connects candid remarks from major banks about “doing more with less people” to a broader shift where AI targets junior, repetitive tasks and reshapes traditional apprenticeship-style pipelines. Koby then examines a new federal push to standardize AI-in-hiring rules, showing how automated screening can narrow access and turn hiring into a black-box gatekeeping system just as companies experiment with “agent boss” org designs built around humans managing AI tools. He weaves in warnings from leading AI researchers and labor economists about mass unemployment, surplus workers, and the choice between an anti-worker automation route and a pro-worker augmentation route that uses AI to upgrade jobs instead of eliminating them. Finally, he offers workers, leaders, and policymakers a mental model for surviving this transition—rethinking skills, ladders, and “AI productivity” through the lens of where saved labor goes, and how to widen personal options before the doors into good work narrow further.
Transcribe →Ep. 30 - Do you believe in the AI Bubble?
Dec 600:19:51Tap to summarizeIn this episode, Koby Ofek discusses the week's major shift in Big Tech, which signals the end of the "Moonshot Era" and the start of the "Extraction Era," starting with Meta's move to slash the metaverse budget and reallocate those billions toward AI, effectively changing the "Aleph" from a physical destination to a computational tool. He then breaks down how Amazon's new Trainium 3 chip is directly assaulting the "cost of cognition," making automation accessible to mid-sized companies, and how Mistral's edge AI models are decentralizing this intelligence, removing "latency protection" for field workers. Finally, he examines HP's multi-year layoff plan as a "boiling frog" strategy that validates the "AI efficiency" thesis for the entire Fortune 500, concluding with a call to action for workers to stop managing friction and move to the parts of work that require humanity, context, and a clear sense of direction.
Transcribe →Ep. 29 - Moneyball For Your Job
Nov 2900:38:01Tap to summarizen this Episode, Koby Ofek explores a week where companies quietly admit that they can do more with fewer people once artificial intelligence becomes part of the workflow. HP maps out thousands of cuts over three years as it leans into AI PCs, Baidu turns work on AI and cloud into a protected class while legacy ad teams absorb the shock, and Amazon employees push back with an unusually sharp internal letter that links AI to jobs, democracy and climate risk. Alongside those stories, new research from MIT and McKinsey shows how much of the economy is already technically automatable, while executive surveys reveal that many leaders privately see ten to twenty percent overcapacity in their current headcount.
Transcribe →Ep. 28 - The Week Drafting Died
Nov 2200:34:33Tap to summarizeIn this Episode, Koby Ofek explores how a single fortnight in late twenty twenty five quietly rewired the modern workplace, from Google tools that erase the drafting phase in design and code to corporate restructurings that carve out a thin new layer of high leverage roles while shedding thousands of traditional jobs. He walks through the rise of Nano Banana Pro and Antigravity, the Verizon and Synopsys cuts, and the advance of accounting and office agents like Numeric and Copilot, showing how they hollow out the old apprenticeship ladder and replace it with a kite shaped organization where judgment and responsibility matter far more than raw output.He also connects these shifts to the wider social response, from the Sanders and Hinton debate over economic and existential risk, to experiments with AI juries, to the emerging blue collar renaissance among Gen Z and the strange new world of sensory AI for taste and smell. The episode offers practical ways to think about your own Task DNA, why employability now beats employment, and how to reposition yourself toward the messy, high stakes parts of work that machines still cannot own, at least not yet.
Transcribe →p. 27 – One Million Laid Off (and Counting)
Nov 800:28:08Tap to summarizeIn this episode, Koby Ofek discusses the staggering milestone the job market crossed this week: over one million layoffs in 2025—many directly linked to AI integration. We unpack the Challenger report's bombshell data, Adecco’s cautious optimism, and what Amazon and Walmart’s latest workforce strategies reveal about the future of corporate hiring. Koby also breaks down a new bipartisan bill that could force companies to publicly report how many jobs AI is really killing, and highlights the UK’s national push to upskill 7.5 million workers before automation leaves them behind.From white-collar jobs vanishing at Amazon, to law firms giving associates one day a week to learn AI tools, to policymakers scrambling to demand transparency—this week delivered a jarring but revealing snapshot of what the AI revolution actually looks like at work. Buckle up for sharp insights, nuanced takeaways, and a few reasons to stay adaptive.🚨 Plus: Don’t miss the “Future Forward Flashes” segment where we touch on the AI hiring freeze at YouTube, Nestlé’s automation cuts, and a finance sector quietly automating compliance roles.📕 Koby’s book Keep Your Day Job: How to AI-Proof Your Career is available on Amazon and wherever people get their books.
Transcribe →Ep. 26 - The Quiet Reorg
Nov 100:25:49Tap to summarizeIn this episode, Koby Ofek discusses how a week of headlines turned into a blueprint for the future of white collar work. He unpacks Amazon’s corporate layoffs as a watershed moment for agent assisted operations, where routine drafting and reconciliation shift to systems and human judgment moves upstream. The conversation explores what this means for manager to IC ratios, the missing rung for early career talent, and the practical ways teams can rebuild apprenticeships around exception handling, evaluation, and ownership of guardrails.
Transcribe →Ep. 25 - Your browser is now an employee
Oct 2500:27:57Tap to summarizehis week, Koby Ofek explores OpenAI Atlas, the web browser with ChatGPT built in, and what it means when your tabs start doing the clicking for you. Atlas can summarize pages, fill forms, and run multi step errands that stretch from research to checkout. We also look at ChatGPT company knowledge, the feature that turns messy internal wikis, Slack threads, and buried decks into answers with citations, and we unpack Project Mercury, OpenAI effort to learn the grunt work of junior bankers so machines can build the models that once built careers.From the shop floor to the executive suite, the question is not if jobs change, it is where the glue work goes. Koby charts the near term shift, browsers that handle metawork, copilots that collapse retrieval, and analysts who become editors of machine output. Expect candid guidance for managers on agent policies and oversight rituals, plus practical playbooks for individual contributors who want to trade busywork for judgment.Future Forward Flashes include ad making that costs half and ships twice as fast, warehouse automation targets with real headcount implications, European regulators sharpening their teeth, and a hardware hint that tomorrow compute may already be on your desk. Subscribe and share with a colleague who still treats the browser like a passive rectangle.
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