AI Replaced Me

In 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.

In 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.

In 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.

In 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.​

In 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.

n 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.

In 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.

In 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.

In 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.

his 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.

This week, Koby Ofek walks through a pivotal shift in how work gets done: Google’s Gemini Enterprise as a single front door for AI at work, Zendesk’s push to let software shoulder most customer support, and the widening gap between calm macro labor data and firm‑level job moves. Expect a narrative tour—from banks and design teams to cruise lines—of how agent ensembles change ladders, reshape apprenticeships, and reward clarity over volume.You’ll hear why the next edge isn’t the biggest model but the clearest playbook, how “flight‑ops” for service can turn chaos into choreography, and why the real macro tremor may be the quiet erosion of entry‑level on‑ramps. Koby threads in concrete rituals—case libraries, drift wrangling, reusable governance bricks—that help teams adopt AI without hollowing out craft.If your job touches decisions, customers, or code, this episode arms you with specific moves: building small agent ensembles, measuring error budgets, and designing new ladders that keep judgment in the loop. It’s a sober, slightly irreverent map for leaders and operators who want the upside of AI while protecting the human skills that compound value over time.

This week, Koby Ofek explores a pivotal shift in how work gets done. Google’s Gemini Enterprise serves as a single front door for AI at work, while Zendesk is making moves to let software handle most customer support. There is a widening gap between calm macro labor data and changes in jobs at individual companies. You can expect a narrative journey through banks, design teams, and cruise lines, showing how agent ensembles transform career paths, reshape apprenticeships, and put clarity above volume.You’ll learn why the next big advantage is not the largest model but the most transparent playbook. "Flight operations" for service can turn chaos into choreography, and the real macro tremor could be the quiet loss of entry level onramps. Koby offers practical approaches—such as case libraries, drift management, and reusable governance frameworks—to help teams adopt AI while maintaining quality craftsmanship.If your job involves making decisions, serving customers, or working with code, this episode provides specific actions: building small teams of agents, measuring error budgets, and designing new career ladders to keep human judgment in the process. This is a sober, slightly irreverent guide for leaders and operators who want the benefits of AI while safeguarding the human skills that increase value over time.

AI is changing how creative work gets done, making instant first drafts and rapid iterations the new normal. In this episode, Koby Ofek discusses why human judgment, curation, and accountability are now the skills that matter most. As automation handles the easy parts, true value shifts to those who can make tough calls, uphold standards, and shape outcomes.Koby explores how creative teams are evolving, which roles are becoming more important, and what it takes to stay relevant in a landscape flooded with AI-generated content. If you want to safeguard your career and stand out, it’s time to focus on decision-making and the art of saying “no.”

As AI systems sweep through the workplace, the entry-level “first-line” has shifted: Junior reps now face complex puzzles, not simple tickets. In this episode, Koby Ofek explores how AI is recoding everyday jobs: why the hiring pipeline is thinning, why soft skills matter more than ever, and why companies must build real bridges for newcomers, not just automate old routines. From controversial “job loss” headlines and corporate retrenchments to the new dynamics in support, healthcare, and tech, discover how skills, not titles, have become the currency of career survival. Koby unpacks the paradoxes behind workforce transformation, the emerging “AI dividend,” and why the future belongs to those who can choreograph humans and machine models in tandem. Tune in for practical frameworks, thought-provoking predictions, and a call for task maps and apprenticeship programs that give authority, not just responsibility, back to frontline teams.

In this episode, Koby Ofek discusses a pivotal week where the theoretical impact of AI on jobs snapped into sharp, unforgiving focus. He analyzes significant layoffs of entry-level AI tutors at xAI, the strategic rebuilding of freelance platform Fiverr around an 'AI-first' model, and a stunningly direct timeline for driver displacement from Uber's CEO. The conversation explores the closing of on-ramps for new workers, the reorganization of capital toward AI infrastructure, and the emerging operational reality of AI's effect on the labor market. Ofek connects these developments to show how the 'if' of AI job loss is being replaced by a very clear 'when' and 'how'.

In Episode 19 of "AI Replaced Me," Koby Ofek explores the tangible impact of AI on the physical world and the workforce. From the massive data centers reshaping landscapes to Airbnb's vision of a human-centric gig economy, this episode delves into the relocation of labor, blame, and opportunity. Discover how AI is not just a digital phenomenon but a force driving new geographies of work, and learn what this means for your career. Tune in to understand the shifting map of job creation and the skills needed to navigate it.Chapters00:00 The Physical Reality of AI05:00 Relocation of Labor and Opportunity10:08 The Messy Reality of Job Displacement15:37 The New Geography of Work

In this episode, Koby Ofek discusses the evolving landscape of the job market influenced by AI advancements. He highlights the introduction of AI certifications, their potential impact on hiring practices, and the implications for job seekers. The conversation delves into the challenges and opportunities presented by AI in the workplace, including the need for new roles and skills. Ofek emphasizes the importance of adapting to these changes to ensure career sustainability and success in an AI-driven world.Chapters00:00 The Rise of AI in the Job Market02:58 Certification and Its Implications06:15 The Impact of AI on Employment09:06 Navigating the New Labor Landscape12:08 Future Trends in AI and Work14:59 Building a Sustainable Career Path17:58 Conclusion: The Future of Work

In this episode, Koby Ofek discusses the profound impact of AI on the job market, particularly focusing on the erosion of entry-level positions and the changing landscape of hiring processes. He highlights a Stanford study revealing a significant decline in employment for early career workers in AI-exposed fields, while experienced workers see stable or improved job prospects. The conversation also covers the effectiveness of AI in recruitment, the strategic shifts in corporate hiring practices, and the rise of shadow AI usage among employees. Ultimately, Koby emphasizes the need for individuals to adapt to these changes by building unique skill sets and networks to navigate the evolving career landscape.Chapters00:00 The Vanishing Ladder: Entry-Level Jobs in Crisis02:57 AI in Hiring: The New Recruitment Landscape05:49 Corporate Strategy Shifts: AI's Impact on Job Functions09:09 Shadow AI: The Rise of Unapproved Tools in the Workplace11:59 The Future of Work: Navigating AI's Transformative Effects

In this episode, Koby Ofek discusses the recent phase transition in artificial intelligence, marking a shift from AI as a passive tool to a proactive agent. He explores the implications of this transition on productivity, workplace dynamics, corporate strategies, and public perception. The conversation highlights the need for a coherent strategy for human-AI collaboration and addresses the growing anxiety surrounding job displacement and the future of work.Chapters00:00 The Phase Transition of AI02:56 The Agentic Shift in Technology05:52 Transforming Workplaces with AI08:45 Corporate Strategies and the Talent Pipeline12:05 Public Anxiety and Perception of AI14:55 Navigating the Future of Work with AI

In this episode of AI Replaced Me, Koby Ofek discusses the shift in corporate culture from employee coddling to a demand for intensity and productivity in the face of AI advancements. He explores the implications of a Goldman Sachs report on job market disruption, the impact of geopolitical tensions on AI adoption, and the future of work in a volatile climate. The conversation highlights the challenges and opportunities presented by AI, emphasizing the need for resilience and adaptability in the workforce.Chapters00:00 The End of Employee Coddling01:28 Corporate Control and the New Work Culture04:50 The Shift to Intensity in the AI Era09:09 Goldman Sachs Report: Job Market Disruption12:01 The Impact of AI on Employment13:30 Geopolitical Tensions and AI's Role18:20 The Future of Work: Navigating a Volatile Climate

In this episode, Koby Ofek discusses the transformative impact of GPT-5, highlighting its capabilities as a cognitive partner that redefines work dynamics. The conversation explores the implications of AI on job displacement, particularly in the context of economic downturns, and emphasizes the need for professionals to adapt and collaborate with AI to thrive in the evolving landscape.Chapters00:00 The Dawn of Cognitive Partners05:49 The Impact of GPT-5 on Work Dynamics12:05 AI's Role in Economic Shifts and Job Displacement14:01 Navigating the Future of Work with AI

In this episode, Koby Ofek explores the transformative impact of AI on education and the job market, particularly focusing on the launch of ChatGPT's study and learn mode. He discusses how this tool democratizes access to personalized learning, challenges traditional educational models, and raises questions about the future of jobs in an AI-driven economy. The conversation also delves into the implications of AI on corporate layoffs and the necessity for adaptability in the workforce, emphasizing the importance of questioning and critical thinking in navigating this new landscape.Chapters00:00 The Socratic Method and Its Evolution02:53 The Launch of ChatGPT's Study and Learn Mode05:45 AI's Impact on Jobs and the Economy09:05 AI and Corporate Layoffs11:52 Navigating the New Landscape of Work14:46 The Importance of Questioning in the AI Era

In this episode, Koby Ofek discusses the shifting dynamics of corporate balance sheets in the age of AI, focusing on Intel's drastic workforce reduction and the implications for the tech industry. He explores the concept of 'the great reallocation' where human capital is sacrificed for digital capital, and highlights the quieter crisis of job displacement seen in companies like ServiceNow. The episode concludes with a call to action for individuals to assert their value in an economy increasingly driven by automation.Chapters00:00 The Corporate Balance Sheet: A Historical Perspective07:09 Intel's Brutal Downsizing: The Great Reallocation13:57 ServiceNow and the Quiet Crisis of Job Displacement20:06 The Human Response: Asserting Value in an AI Economy

In this episode, Koby Ofek explores the profound implications of AI's recent advancements, particularly the unveiling of OpenAI's ChatGPT agent, which acts as a master key to our digital lives. The conversation delves into the risks associated with this technology, the human response exemplified by the SAG-AFTRA victory in protecting digital rights, and the political ramifications of AI's impact on the workforce. The episode concludes with a discussion on the negotiation of agency in the age of AI, emphasizing the need for strategic thinking in adapting to these changes.

in this special episode of "AI Replaced Me" we plunge headfirst into one of the most compelling and maybe consequential questions of our time: Can artificial intelligence truly be conscious? Today, Koby Ofek is discussing with Scott Levi-Ross, a researcher of Mind theories of AI and the host of the up and coming "AI Philosophy: Beyond the Mirror" Podcast. This conversation will explore philosophical, ethical, and practical implications of AI consciousness. The discussion highlights the distinction between the 'easy' and 'hard' problems of consciousness, examines various philosophical perspectives, and addresses the ethical responsibilities of AI developers. It emphasizes the societal impact of beliefs about AI consciousness and the urgent need for safety and honest design in AI systems.Chapters00:00 The Quest for AI Consciousness02:53 Understanding the Easy vs. Hard Problems of Consciousness06:04 Philosophical Perspectives on AI Consciousness09:03 The Cautious Approach: Ethical Implications of AI Consciousness11:57 The AI Insiders: Diverging Views on Consciousness18:57 The Detection Dilemma: Testing for AI Consciousness31:40 The Societal Impact of AI Consciousness Beliefs40:04 Navigating the Future: Ethical Responsibilities and Safety54:00 Reflections on Humanity and AI Consciousness

SummaryIn this episode, Koby Ofek explores the duality of AI, comparing it to the characters of Charlie and Donald from a film. He discusses the corporate perspective on AI's impact on the workforce, revealing a stark reality of job displacement driven by economic calculations. The conversation shifts to real-world applications of AI, highlighting both its successes and failures. Ofek emphasizes the importance of human skills that AI struggles to replicate, advocating for a proactive adaptation to the evolving landscape of work.Chapters00:00 The Duality of AI: Charlie and Donald02:55 The Economic Landscape of AI05:51 The Contradictory Nature of AI Performance09:14 The Human Advantage in AI12:05 Regulatory Responses to AI14:55 The Future of Work and AI Integration

In this episode, Koby Ofek discusses the alarming breakdown of the promise that a college degree guarantees a stable career. He highlights the rising unemployment rates among recent graduates, the erosion of entry-level jobs due to AI automation, and the experience paradox that leaves graduates without the necessary experience to secure jobs. The conversation also touches on the systemic risks posed by AI, the complexities of job market changes, and the disconnect between corporate management and employee realities. Ultimately, the episode emphasizes the need for a new approach to career development in a rapidly changing landscape.00:00 The Foundation of Education: A Broken Promise08:04 The Experience Paradox: Automation and Entry-Level Jobs16:21 Corporate Responses: Motivation by Menace22:14 Navigating a Ladderless Future: Building Resilience

In this episode, Koby Ofek explores the profound impact of AI on the workforce, contrasting the immediate effects of layoffs (earthquakes) with the gradual, pervasive changes (tectonic drift) that are reshaping the nature of work. He discusses recent layoffs at Microsoft and Amazon, the gender disparities in job susceptibility to AI, and the broader implications of AI's integration into various roles. The conversation emphasizes the need for adaptability in a constantly evolving job market.00:00 Earthquakes vs. Tectonic Drift: Understanding AI's Impact01:29 The Tremors of Layoffs: Microsoft and Amazon's Moves05:25 The Human Cost: Gender Disparities and Job Losses09:25 The Great Diffusion: AI's Subtle Reshaping of Work 14:24 Navigating Constant Change: Adapting to the New Landscape

SummaryIn this episode of AI Replaced Me, Koby Ofek explores the complex dynamics of the current economy shaped by AI. He draws parallels to The Truman Show, highlighting the unexpected shifts in the economic narrative, particularly the stark contrasts between job creation and deepening inequality. The discussion delves into historical lessons from the dot-com boom, the global disparities in job displacement, and the emerging trend of skills-based hiring, particularly in India. Ofek also examines corporate strategies regarding AI, the two-speed economy of work, and the urgent need for public policy to address the looming inequality trap. Ultimately, he emphasizes the need for individuals to adapt to a rapidly changing job market by focusing on demonstrable skills rather than traditional credentials.Chapters00:00 The Truman Show and AI's Economic Narrative01:29 The Great Rebalancing: Contradictions in the Economy03:51 Lessons from the Dot-Com Boom06:17 Global Disparities in Job Displacement08:15 India's Hiring Frenzy and Skills-Based Opportunities12:07 Corporate Strategies: Replacement vs. Augmentation14:55 The Two-Speed Economy of Work16:23 Flashes from the Front Lines: Human Element and Global Divide18:45 The Great Repricing of Skills

In this episode of AI Replaced Me, Koby Ofek discusses the rapid advancements in AI technology and its impending impact on the job market. He highlights alarming predictions from industry leaders about job displacement, particularly in entry-level positions, and the potential for significant unemployment rates. The conversation also touches on the gender disparities in job susceptibility to AI, the economic implications of rapid automation, and contrasting forecasts about the future of work. Ultimately, the episode emphasizes the need for proactive strategies to adapt to the changing landscape of labor and the importance of preserving human agency in an AI-driven world.akeawaysAI is transitioning from augmentation to automation rapidly.Dario Amodei warns of a potential 10-20% unemployment spike.The economic impact of AI could mirror past recessions.AI's impact on jobs is not evenly distributed by gender.The US labor market's flexibility may fuel youth unemployment.China's AI strategy complicates global competition.AI-driven job displacement creates vulnerabilities in workforces.The BLS projects growth in high-skill jobs despite automation.Reskilling is essential but not sufficient for future job security.Human agency and creativity are vital in an AI-dominated landscape.Chapters00:00 The Snowball Effect: AI's Rapid Evolution 06:49 The Economic Shockwaves of AI Adoption14:24 The Future of Work: Opportunities and Challenges

In this episode, Koby Ofek discusses the rapid integration of AI into the workplace, highlighting its impact on job roles, particularly in software development and white-collar jobs. He emphasizes the shift from traditional coding to AI-driven development processes and the need for new skills in the job market. The conversation also touches on the potential for mass displacement of jobs due to AI, the importance of human skills that AI cannot replicate, and the necessity for continuous learning and adaptation in the evolving landscape of work.TakeawaysAI is reshaping the job market at an unprecedented pace.30% of Microsoft's code is now generated by AI, indicating a significant shift in software development.AI is not just handling simple tasks but is taking on complex coding responsibilities.The demand for software developers is changing, focusing more on managing AI-driven processes.AI could potentially displace up to 50% of entry-level jobs in the next five years.The rise of AI tools is leading to a convenience tax in industries like media.Human skills such as critical thinking and creativity are becoming more valuable in an AI-driven world.Lifelong learning is essential for career survival in the age of AI.Adaptation to AI is not a one-time event but an ongoing process.The integration of AI into the workforce requires proactive strategies to ensure equitable benefits.

SummaryIn this episode, Koby Ofek explores the evolving relationship between AI and the workforce, highlighting significant developments from Google's recent I.O. conference and the implications for job markets, particularly regarding gender inequality. He discusses the potential for AI to transform roles, the unequal impact on jobs predominantly held by women, and the need for proactive strategies to adapt to these changes. The conversation emphasizes the importance of shaping the future of work to ensure equitable outcomes as AI becomes increasingly integrated into various industries.TakeawaysThe biggest shifts in AI happen through seemingly disconnected announcements.Google's AI is becoming the central nervous system of operations.AI's impact on jobs is not equal, with women facing greater risks.Transformation in jobs can often mean increased workloads and pressures.AI could amplify existing systemic inequalities in the workforce.Reskilling and upskilling are necessary but not sufficient solutions.AI integration is normalizing, leading to subtle job displacement.The rise of agentic AI could redefine roles and responsibilities.The experience paradox complicates entry-level job access for new workers.Shaping the future of work requires active participation and strategy.Chapters00:00 The Subtle Shifts of AI Transformation04:55 Google's AI Revolution: A New Workforce10:23 The Unequal Impact of AI on Jobs15:19 Navigating the Future: Adapting to AI Changes

Is your CV obsolete? This week on "AI Replaced Me," host Koby Ofek dives into the escalating "algorithmic arms race" in recruitment. We explore the hypocrisy of employers using AI to screen candidates while frowning on applicants doing the same, and ask if skills-based assessments are the great equalizer or a new way to tilt the playing field.Then, we dissect the job market paradox: why software developer roles are booming thanks to AI, while claims adjusters face decline, and how even 40,000 U.S. federal government jobs are on the AI chopping block. What happens when the government itself prioritizes algorithmic efficiency over human employment?Plus, China's $20 billion bet on humanoid robots to reshape manufacturing, Klarna's deep dive into an AI-driven workforce, major tech companies cutting HR jobs in an "AI realignment," and what the future of coding might look like when LLMs are your new junior partner. Finally, we unpack Marc Benioff's vision of a "digital labor" market and his skepticism about some of the current AI hype.It's not just about robots taking jobs; it's about control, access, and who really benefits from this rapid transformation.

Welcome to the premiere of "AI Replaced Me"! Host Koby Ofek (author, "Keep Your Day Job") pulls back the curtain on AI's real-world impact. This week: Is your next star candidate a deepfake? (17% of managers say yes!). And while some AIs fake it, others are genuinely gunning for a promotion, with Meta's AI nearing mid-level engineer status. We explore the uncanny valley of hiring, the AI arms race, and what happens when the algorithm is already redecorating its corner office. Plus, "Future Forward Flashes" on tech layoffs and surprising AI skill demands. Tune in for a witty, insightful look at the future of work, happening now