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The Career Advice You Grew Up With Is Dead in the Age of AI

16 min · 30 de abr de 2026
Portada del episodio The Career Advice You Grew Up With Is Dead in the Age of AI

Descripción

Reflections from an unemployed ex–Big Tech engineer navigating a changing world Hello world. For the first time in more than two decades, I find myself standing outside the system I once helped build. After 25 years in the tech industry, I am now an unemployed former software engineer. A title I never imagined I would carry. And yet, every week, that story becomes less unusual. The headlines keep arriving in waves: another tech company, another restructuring, another round of layoffs measured not in dozens, but in thousands. Increasingly, the explanation is familiar, it’s automation, efficiency, AI. Artificial intelligence is no longer a distant future. It is not a speculative technology sitting quietly in research labs. It is here. And it is reshaping the labor market in real time. As a parent of two children, I find myself thinking about this constantly. What does work look like ten years from now? How do people not just survive, but thrive, in a world where machines increasingly perform cognitive labor once reserved for humans? I have had more time than usual to sit with those questions. And after months of reading, observing, experimenting, and reflecting, I have come to believe something uncomfortable: Many of the strategies we were taught to trust may no longer work. The End of the Traditional Career Conveyor Belt For generations, the formula looked simple. Go to college. Gain specialized knowledge. Build a stable career. Climb steadily upward. That model made sense in an era where knowledge changed slowly and expertise compounded over decades. But AI introduces a different reality. When a machine can instantly retrieve, summarize, and apply vast quantities of information, the economic value of memorized knowledge begins to erode. The traditional promise of higher education, that four years of study naturally convert into decades of stable income, feels increasingly fragile. This does not mean education has no value. Education has always served multiple purposes. In ancient Greece, academies existed to broaden perspective and cultivate reasoning. During the Victorian era, higher education also functioned as a signal of class, privilege, and social standing. But the modern idea of college as a predictable employment pipeline may be reaching its expiration date. The world is changing too quickly. Knowledge alone is no longer enough. The Myth of the “Safe” White-Collar Career Many people respond to technological disruption by searching for stability. Accounting. Administration. Insurance. Compliance. The assumption is understandable: avoid glamorous industries, choose something practical, and ride out the storm. But AI does not evaluate professions the way humans do. It does not care whether a job sounds prestigious or boring. It only cares about workflows. A better question is not What profession are you in? A better question is: What percentage of your work consists of repetitive, structured tasks? If large portions of your day involve predictable information processing, documentation, reporting, communication, or analysis, then AI may slowly begin dissolving parts of that role. Not necessarily replacing it all at once. More like an ice cube melting under sunlight. The profession still exists. But fewer people are required to do the same amount of work. That distinction matters. The future may not arrive through dramatic replacement. It may arrive through gradual reduction. Are the Trades Really Safe? One of the most common pieces of advice circulating online is simple: “Forget tech. Go into the trades.” Electricians. Plumbers. HVAC specialists. Welders. There is truth in this argument. Physical work remains more difficult to automate than cognitive work. But the picture may be more complicated than it appears. In the short term, the trades face a supply problem. Large numbers of displaced white-collar workers are looking for stability. Recent graduates are struggling to enter knowledge work. Gig economy workers are searching for reliable income. Many of them are converging toward the same solution. When too many people chase the same opportunity, competition intensifies. And intense competition puts downward pressure on wages. Then comes the medium-term issue. Humanoid robotics. Today’s robots still struggle with dexterity, battery life, environmental unpredictability, and physical durability. But these are engineering problems, not theoretical impossibilities. If progress continues at current rates, general-purpose robotics could become commercially viable within the next decade. That means trades may remain resilient but perhaps not permanently immune. So What Might Actually Work? If the old playbook is losing relevance, what replaces it? There are no guarantees. But there are strategies that seem increasingly rational in the age of AI. 1. Learn to Work With AI, Not Against It The most practical near-term strategy may be simple: Master the tools. AI is proliferating into nearly every professional discipline. Software engineers use AI coding assistants. Designers use AI-generated mockups. Lawyers analyze contracts with AI. Accountants automate bookkeeping workflows. The future may not belong to the person with the most raw knowledge. It may belong to the person who knows how to amplify themselves. In software engineering, experienced developers can now produce dramatically more output using AI-assisted workflows. Five times more productive. Ten times more productive. Sometimes more. And that creates an uncomfortable truth. For the foreseeable future, AI may not directly replace workers. People using AI may replace people who do not. 2. Disrupt Your Own Job Before Someone Else Does This is one of the hardest ideas to accept. But it may also be one of the most important. If your workflows can be automated, you should be the first person to automate them. Look closely at your workday. What tasks repeat? What decisions follow patterns? What emails, reports, summaries, or administrative work consume time? Modern AI tools can already handle many forms of repetitive cognitive labor. Research. Reporting. Scheduling. Drafting communications. Data organization. And increasingly, they can do so without requiring technical expertise. By automating portions of your own job, two things happen. First, you become more valuable. Second, you reclaim time. And time may become one of the most valuable currencies of the next decade. Because time creates optionality. Time lets you experiment. Time lets you build. Time lets you prepare. 3. Invest in Human-Centered Skills Machines can analyze information. They can summarize, recommend, and optimize. But trust remains stubbornly human. Fields rooted in emotional intelligence, nuanced judgment, and relationship-building may prove more durable. * Healthcare. * Leadership. * Coaching. * Human services. * Therapy. * Community-building. The future may place increasing value on work that requires empathy, interpretation, and interpersonal trust. These are not simply “soft skills.” They may become economic differentiators. 4. Build the Infrastructure Around AI We often think of AI as the main event. But every technological revolution creates an ecosystem around itself. The internet created web hosting, cybersecurity, payment processors, cloud platforms, analytics tools, and marketplaces. AI will likely do the same. AI agents increasingly perform tasks on behalf of humans. They research. Write. Analyze. Schedule. Transact. But agents require infrastructure. They need tools for discovery, authentication, communication, workflow integration, and commerce. The supporting layer around AI may become just as valuable as AI itself. And building that infrastructure could become a massive opportunity over the coming decade. 5. Reimagine Existing Businesses Through AI One of the most overlooked opportunities may not be inventing something entirely new. It may be redesigning what already works. Every profitable business contains inefficiencies. Every workflow contains friction. Every market contains incumbents who are reluctant to disrupt themselves. History repeats this pattern. Large companies often struggle to abandon existing revenue streams. They protect what works. Until someone else builds a faster, cheaper, more efficient alternative. This happened with photography. It happened with streaming. It happened with e-commerce. And it will happen again. AI allows individuals and small teams to replicate services that once required entire organizations. The barrier to entry has dropped. Which means opportunity has expanded. The downside is obvious. This path carries risk. Many attempts will fail. But successful disruption can produce outsized returns. 6. Create Entirely New Business Models This may be the most exciting possibility of all. AI does not simply improve old workflows. It enables things that were previously impossible. Consider automatic language dubbing. A person records a video in one language. AI translates it into dozens of others while preserving tone, pacing, and personality. That business model could not realistically exist at scale before deep learning. And it raises an important question. How many business ideas were once impossible because the cognitive labor required was too expensive? How many ideas sat dormant because humans simply could not execute them efficiently enough? AI changes that equation. We may be standing at a moment that resembles the early internet. Most ideas will fail. But some will create entirely new categories. And those categories may reshape industries. The Larger Truth We May Not Want to Admit I suspect we are still underestimating how disruptive AI could become. Not just economically. But socially. Politically. Psychologically. At some point, our economic system may need to evolve to accommodate a world where productivity no longer maps neatly to employment. That conversation feels distant. But perhaps it is approaching faster than we think. In the meantime, I do not claim to have answers. Only strategies. Experiments. Ways of navigating uncertainty. I use many of these approaches myself. Because when the map disappears, movement matters more than certainty. And perhaps the real challenge of the AI age is not learning how to outcompete machines. Perhaps it is learning how to remain adaptable while the world rearranges itself beneath our feet. If you are navigating this transition too, you are not alone. We are all figuring it out in real time. And maybe that shared uncertainty is the beginning of something new. Get full access to AsianDadEnergy's Newsletter at asiandadenergy.substack.com/subscribe [https://asiandadenergy.substack.com/subscribe?utm_medium=podcast&utm_campaign=CTA_4]

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33 episodios

episode AI Is Destroying India's Outsourcing Industry? artwork

AI Is Destroying India's Outsourcing Industry?

Every once in a while, I make the mistake of opening LinkedIn. I know I should not. For an unemployed former Big Tech engineer, LinkedIn often feels like an abusive relationship. I log in knowing there is a good chance I will encounter some combination of layoffs, humblebrags, AI hype, and carefully curated success stories that leave me questioning every major life decision I have ever made. And yet, like drivers slowing down to stare at a highway accident, I sometimes cannot resist the morbid curiosity. Recently, that curiosity led to a conversation that has been occupying my thoughts ever since. An old colleague reached out. Let us call him Kaushik. For several years, Kaushik and I worked together inside a large technology organization. He was a senior architect based in India, working out of one of the company’s offshore centers. We collaborated on multiple projects and developed the kind of professional relationship that forms when two people spend years solving difficult problems together. Back in 2023, our organization was hit by a major round of layoffs. Roughly half the organization disappeared overnight. I survived, although survival came with a soft demotion. My title was downgraded from Chief Architect to Senior Architect. To regain my previous position, I had to navigate a familiar corporate ritual. There were applications, self assessments, recommendation letters, and endless documentation designed to demonstrate my value to the company. Kaushik played an important role in that process. He wrote one of the strongest recommendation letters I have ever received. Reading it felt almost surreal. According to Kaushik, I was apparently a visionary thought leader whose technical brilliance illuminated the path for offshore engineering teams across the organization. The praise was generous to the point of comedy. But it helped. With support from Kaushik and several others, I eventually regained my Chief Architect title. By then, however, Kaushik had already moved on to another company. Fast forward to today. He is back on the job market. And according to him, the situation is grim. Very grim. What he described was not simply a difficult hiring environment. It sounded like an entire economic model under existential threat. The Great Engine Behind Global Offshoring To understand the problem, it helps to understand why India became the center of the offshoring world in the first place. For decades, India possessed a unique combination of advantages. A large population. Strong technical education. Widespread English proficiency. And labor costs dramatically lower than those found in North America and Western Europe. These conditions allowed India to become one of the world’s largest providers of outsourced technical services. Entire industries grew around this model. Software development. Business process outsourcing. Customer support. Quality assurance. Infrastructure management. Financial operations. Data processing. For many global corporations, India became an extension of their workforce. The arrangement was never perfect. Offshoring always came with hidden costs. Time zone differences slowed communication. Language barriers occasionally created misunderstandings. Cultural differences introduced friction. Knowledge transfer was often inefficient. Work was frequently thrown over organizational fences. Yet despite these inefficiencies, the labor savings were so substantial that the model remained highly attractive. For decades, the economics worked. Now AI may be changing the equation. The Collapse of Traditional Outsourcing According to Kaushik, traditional outsourcing firms are experiencing severe pressure. This should not be surprising. Most outsourcing work revolves around routine cognitive tasks. Tasks that are structured. Predictable. Repeatable. And increasingly automatable. Consider the kinds of activities commonly performed by large outsourcing organizations. Basic customer service. Data entry. Billing operations. Simple application development. Maintenance work. Standardized testing. Documentation. CRUD software development. These are precisely the categories where modern AI systems are improving at astonishing speed. The question facing corporate executives is becoming increasingly obvious. Why pay an external vendor to perform work that internal employees can now complete with AI assistance? Even more importantly, why accept the communication overhead, coordination challenges, and quality risks associated with offshoring if similar outcomes can be achieved in house? The result appears to be a shrinking pool of contracts. Less work means fewer employees are needed. Hiring freezes follow. Layoffs follow. Entry level opportunities disappear. The traditional outsourcing pipeline begins to break. And when the pipeline breaks, an entire generation of future talent loses its path into the industry. The GCC Paradox The second pillar of the offshore ecosystem consists of Global Capability Centers. These are not outsourcing firms. They are fully integrated extensions of multinational corporations. Think Google. Oracle. Microsoft. Amazon. Major banks. Large pharmaceutical companies. These organizations establish engineering centers overseas and assign them direct responsibility for critical products and services. Historically, GCC jobs have been viewed as more prestigious and more technically demanding than traditional outsourcing positions. Ironically, AI may strengthen GCCs while simultaneously weakening everything around them. The reason is simple. AI tends to amplify highly skilled workers more effectively than less skilled workers. A senior engineer with ten or fifteen years of experience can leverage AI to become dramatically more productive. An architect who already understands systems design, tradeoffs, business requirements, and organizational complexity can use AI as a force multiplier. The challenge is that only a minority of workers possess these capabilities. Companies are no longer searching for people who can merely write code. They are searching for people who can solve problems. That distinction matters. A lot. As a result, GCCs continue competing aggressively for elite talent while the broader outsourcing sector struggles. The strongest engineers migrate toward multinational organizations. The rest of the ecosystem becomes increasingly hollowed out. It is a form of talent cannibalization. The most capable workers are concentrated into a relatively small number of organizations while everyone else faces increasing pressure. A Dangerous Concentration of Talent This creates another risk that receives far less attention. As more elite technical talent becomes concentrated inside multinational corporations, local technology ecosystems become increasingly dependent on decisions made thousands of miles away. The leadership teams controlling these organizations often reside in the United States. The strategic priorities are determined elsewhere. The investments are determined elsewhere. The layoffs are determined elsewhere. If those corporations decide to reduce investment, shift priorities, or close operations entirely, the consequences could ripple through entire regions. The danger is not merely economic. It is structural. When enough talent becomes dependent on a handful of global organizations, local resilience begins to disappear. An ecosystem that cannot stand on its own eventually becomes vulnerable to forces beyond its control. What Can Offshore Workers Do? I have spent many years working alongside offshore teams. Most of the people I met were intelligent, hardworking professionals trying to build better lives for themselves and their families. That makes this situation difficult to watch. Unfortunately, I do not see any perfect solutions. Only coping strategies. The first strategy is to move up the value chain and target positions within Global Capability Centers. That means improving technical skills. Improving communication skills. Learning AI tools. Developing stronger problem solving abilities. The competition is intense, but higher value work is likely to remain more resilient than routine work. The second strategy is to focus on local and regional technology ecosystems. The world may gradually become more multipolar. China has already built a sophisticated technology ecosystem independent of Silicon Valley. Europe is increasingly discussing digital sovereignty. Other regions may eventually follow. Opportunities may emerge closer to home, even if compensation is lower than what American companies traditionally offered. The third strategy is immigration. Historically, moving to higher income countries has been a pathway toward greater opportunity. However, this path appears increasingly uncertain. Many developed countries are facing economic anxieties of their own. Labor markets are becoming more competitive. Public sentiment toward immigration is often more complicated than it was a decade ago. The path remains available, but it is unlikely to be easy. The Bigger Question After my conversation with Kaushik, I found myself thinking about a broader issue. For decades, offshoring was built on the assumption that cognitive labor could be distributed around the world in much the same way manufacturing had been. AI may be challenging that assumption. For the first time, companies have access to tools that can automate portions of cognitive work itself. If that trend continues, the implications extend far beyond India. Far beyond outsourcing. Far beyond technology. Entire labor markets may need to rethink their purpose in a world where intelligence is no longer scarce. Perhaps the real question is not whether AI will disrupt the offshoring industry. Perhaps the real question is what happens when one of globalization’s most successful economic models suddenly stops making sense. And if that day is truly arriving, then Kaushik’s struggle may not be an isolated story. It may be an early warning. Get full access to AsianDadEnergy's Newsletter at asiandadenergy.substack.com/subscribe [https://asiandadenergy.substack.com/subscribe?utm_medium=podcast&utm_campaign=CTA_4]

Ayer16 min
episode How I’m Preparing My Family for a Changing World Order (WW3?) artwork

How I’m Preparing My Family for a Changing World Order (WW3?)

Hello world, One strange side effect of unemployment is that it gives you something modern life rarely provides anymore. Time. For twenty five years I worked in tech. Like many engineers, I spent most of my adult life sprinting from deadline to deadline, project to project, quarter to quarter. There was always another problem to solve and another fire to put out. Then one day the treadmill stopped. Now that I am no longer spending every waking hour inside the machine, I suddenly have the ability to do something I had almost forgotten how to do. Observe. And what I am observing concerns me. For most of my life, I have lived inside something historians would call the American unipolar world order. Most of us rarely think about it because it simply became the background operating system of our lives. Like electricity, it was just there. After the Soviet Union collapsed in 1991, the United States entered what many called Pax Americana. America became the world’s lone superpower. We had the largest economy, overwhelming military dominance, enormous industrial capacity, and perhaps most importantly, immense cultural influence. America was not just powerful. America felt inevitable. During the 1990s and early 2000s, I viewed America as some strange combination of Captain America and Guardians of the Galaxy. Maybe that sounds ridiculous, but that was genuinely how it felt. There was a broad expectation that tomorrow would be better than today. Economic growth seemed permanent. Globalization seemed unstoppable. Political stability felt normal. The future felt like a solved problem. But now I look around and increasingly feel like I am watching the operating system begin to fail. Some of this decline is relative. Other nations are becoming stronger. Some of it appears more fundamental. Our industrial capacity has weakened. Social cohesion feels increasingly fragmented. Political polarization has become part of everyday life. Our geopolitical influence appears less absolute than it once did. None of these changes by themselves mean catastrophe. But together they suggest something larger. The world order that shaped much of our lives may be changing. The question is what replaces it. Some believe we are heading toward a new Cold War where America and China emerge as two competing superpowers locked in a bipolar struggle. I am increasingly skeptical of this. Instead, I think we are drifting toward something messier. A multipolar world. This is a world where major powers still matter, but where middle powers also gain increasing influence. Countries such as Brazil, Saudi Arabia, Indonesia, India, Turkey, and others may refuse to fully align themselves with either America or China. They may sit on the fence. They may switch sides. They may negotiate with everyone. They may exploit both camps for maximum advantage. Globalization also complicates everything. The old Cold War had relatively clean lines. Today’s world does not. A country may depend on America for security while depending on China for trade. The alliances become tangled. The incentives become blurry. The board becomes chaotic. There is also another reality that fascinates me. Modern technology has changed power itself. Drones, sensors, precision weapons, and digital infrastructure have made even weaker nations far more difficult to dominate. Large powers can still hit hard. But imposing control has become much more expensive and much more uncertain. Even the strongest players can walk away with a bloody nose. And this is where I become uneasy. Multipolar systems can be unstable. You have multiple ambitious actors, shifting alliances, power vacuums, and competing interests. Without a dominant power acting as an organizing force, the potential for mistakes increases. History often shows that wars do not begin because everyone wants war. Wars begin because enough people make enough bad calculations at the same time. So how do you prepare for uncertainty? I do not claim to have answers. I am not a financial advisor and these are simply my personal thoughts. But I have started thinking differently about resilience. I think about preserving financial flexibility. I think about diversification. I think about holding assets that are less dependent on a single institution or currency. I think about optionality. Most importantly, I think about family. Because ultimately, all of these discussions about geopolitics and world systems eventually become personal. At some point every grand historical event arrives at your front door. History stops being a chapter in a textbook and starts becoming your mortgage, your job, your neighborhood, your children’s future. Maybe I am wrong. I hope I am wrong. I hope decades from now we look back and laugh at all of these worries. But if the world really is changing, then perhaps the greatest mistake is assuming tomorrow will automatically look like yesterday. Because history has a habit of moving slowly. Right until it suddenly moves all at once. Get full access to AsianDadEnergy's Newsletter at asiandadenergy.substack.com/subscribe [https://asiandadenergy.substack.com/subscribe?utm_medium=podcast&utm_campaign=CTA_4]

27 de may de 202617 min
episode The Real Reason They're Racing To Build AI? artwork

The Real Reason They're Racing To Build AI?

The Future That Quietly Keeps Me Up at Night Hello world, For the first time in more than two decades, I suddenly found myself with something I hadn’t had in years: Time. After spending 25 years as a software engineer in big tech, I entered what I jokingly call my “involuntary early retirement.” And when your daily rhythms disappear, your mind starts wandering into strange places. Mine wandered into the future. Not my future specifically, but humanity’s future. Like many engineers, I have always believed that technology is fundamentally a tool. A hammer can build a home or become a weapon; the hammer itself has no morality. Technology seemed no different. Artificial intelligence, robotics, biotechnology, these were simply instruments extending human capability. But the more time I spent reading, researching, and following emerging technological trends, the more a question began nagging at me: What if we are no longer merely building tools? What if we are building our successors? That question led me into the world of Transhumanism. For those unfamiliar with the idea, Transhumanism is a philosophical movement advocating the use of advanced technologies to fundamentally enhance humanity itself. The goal is not merely to cure disease or make life more comfortable. The goal is to overcome biological limits altogether. Disease. Aging. Cognitive limitations. Possibly even mortality itself. For decades, this sounded like science fiction, the sort of thing reserved for late-night conversations between futurists and authors. Today it feels different. Because the technologies that make this possible are no longer imaginary. Brain-computer interfaces now connect neurons to machines. Genetic technologies such as CRISPR allow us to edit the very code of life itself, precisely. Artificial intelligence increasingly performs tasks that once required human expertise. Robotics grows more capable every year. Individually, each technology seems understandable. Collectively, they begin to feel transformative. Potentially civilization-transforming. And here is where things become unsettling. Because if these enhancements become possible, they will almost certainly begin as expensive technologies available only to a small number of people. Perhaps the wealthiest. Perhaps the most powerful. Perhaps the descendants of today’s technological elite. What happens then? Imagine two groups emerging within humanity itself. Not nations. Not races. Not classes. Species. One group possesses enhanced intelligence, longer lifespans, superior biological capabilities, and direct integration with AI systems. The other remains largely unchanged. How long would those groups remain equals? History offers a sobering answer: they probably wouldn’t. Humans have never had an especially impressive record of treating less powerful groups as peers. And if one group genuinely became more capable, stronger, smarter, longer-lived, the incentives become uncomfortable to think about. The enhanced population might eventually ask difficult questions: Why sustain billions of unenhanced humans consuming resources? Why preserve inefficiencies? Why maintain systems built for biological limitations that no longer apply? I know how insane this sounds. Trust me, I hear myself saying it. But what makes this thought experiment disturbing is not the futuristic imagery. It’s the possibility that we may already be seeing early hints of these pressures emerging. Consider the enormous expansion of AI. Hundreds of billions of dollars are being poured into data centers, chips, energy infrastructure, and computational power. The public narrative is productivity. Efficiency. Innovation. And perhaps that is entirely true. But another possibility exists: The systematic reduction of the need for human labor itself. If labor becomes less valuable, then what happens to people? We may already be seeing fragments of that answer. Mass layoffs. Shrinking opportunities for younger workers. An economy where many increasingly rely on gig work, subsidies, and algorithmically mediated systems simply to survive. Meanwhile, social structures that once stabilized human life, families, communities, churches, neighborhoods, appear weaker than they once were. Instead, many people increasingly exist within digital ecosystems designed to capture attention. We become consumers of endless content. Endless outrage. Endless distraction. And perhaps the most striking consequence is demographic. Across much of the industrialized world, birth rates are collapsing. Young people aren’t rejecting families because they hate children. Many simply cannot imagine stable futures for themselves. If life increasingly feels like survival, building the next generation becomes difficult. East Asian nations may be offering a glimpse into this future. Population projections in some regions suggest declines so severe they would have seemed unimaginable just decades ago. Canaries in the coal mine. Which raises a haunting possibility: What if these aren’t disconnected trends? What if they are pieces of a larger transition? Imagine the year 2100. AI and machines perform most productive work. A small enhanced population controls technological systems and resources. A larger population of ordinary humans receives sufficient resources to survive, perhaps through mechanisms like universal basic income, but exists largely dependent upon the system itself. From the outside, this civilization might look beautiful. Clean cities. Renewable energy. Little pollution. No visible poverty. Almost a solar-punk paradise. A Star Trek future. But beneath the surface lies a difficult question: If basic material needs are met, but human agency disappears, is that still freedom? I don’t claim that this future is inevitable. I don’t even claim it is likely. I may be completely wrong. I sincerely hope I am. But history suggests civilizations often drift into destinations they never consciously intended to reach. Not because of a master plan. Not because of hidden conspiracies. But because countless incentives quietly push society in one direction over time. Perhaps Transhumanism will ultimately free humanity from suffering. Or perhaps it will simply create a newer, more technologically sophisticated dystopia. I don’t know. I only know that the question itself has become difficult for me to stop thinking about. And maybe that’s the point. The future rarely arrives all at once. It arrives gradually one technology, one incentive, one compromise at a time. Get full access to AsianDadEnergy's Newsletter at asiandadenergy.substack.com/subscribe [https://asiandadenergy.substack.com/subscribe?utm_medium=podcast&utm_campaign=CTA_4]

21 de may de 202613 min
episode The Tech Layoff Crisis No One Wants to Talk About artwork

The Tech Layoff Crisis No One Wants to Talk About

Another week passes and another wave of layoffs crashes through the technology industry like a tidal wave. At this point, the disappearance of thousands of highly experienced engineers has become so common that it barely shocks anyone anymore. Entire departments vanish overnight. Decades of institutional knowledge disappear behind a carefully worded email and a severance package. But there is another group of people affected by these layoffs that nobody really talks about. The survivors. The people who remain employed are often viewed as the lucky ones. They still have a paycheck. Their stock grants are still vesting. Their LinkedIn profiles still say they work at a prestigious company. From the outside, they appear safe. But inside many large technology companies, surviving layoffs can feel like becoming trapped inside a pressure cooker. The workload grows heavier while job security becomes thinner. Teams shrink while expectations expand. Critical systems still need to function, deadlines still need to be met, and billions of dollars still depend on software that was often stitched together over decades by engineers who no longer work there. The survivors inherit all of it. In the summer of 2023, I found myself inside exactly this kind of situation. After a brutal round of layoffs at my company, nearly half of my organization disappeared. Senior leaders were gone. Teams were forcibly merged together into a larger organization built from the wreckage of the previous one. I went from serving as a Chief Architect to functioning as a Senior Enterprise Architect again. Professionally, it felt like traveling backward in time. I was angry about it. But I stayed. Like many people in tech, I had financial reasons to endure it. My next round of RSUs had not vested yet, and walking away meant leaving a significant amount of money on the table. So I convinced myself to keep pushing forward. Then came the project that nearly broke me. Our company operated a massive legacy platform that handled relationships with partner companies. The system processed billions in annual revenue, but under the surface it was a digital Frankenstein monster. Over twenty five years, dozens of separate web applications had been piled on top of one another until the entire thing barely functioned. Different fonts. Different navigation systems. Different visual styles. Some pages looked like they belonged to completely different companies. Yet somehow this fragile structure continued to support an enormous stream of revenue. Executive leadership decided that our newly reorganized department would completely replace this legacy system with a modern enterprise CRM platform in a single release scheduled only four months away. It was the kind of decision that sounds bold in a PowerPoint presentation and terrifying to the engineers responsible for actually delivering it. The challenge was not merely technical. The layoffs had already gutted the teams that understood how the legacy platform worked. Much of the institutional knowledge had vanished. At the same time, the replacement CRM platform required specialized knowledge that very few people possessed. So every day became a race against time. I spent countless hours trying to understand both systems simultaneously while also coordinating teams spread across multiple continents. Meetings started at six in the morning and stretched late into the evening because our squads were distributed between North America and India. Then there was the commute. Our company enforced a hybrid return to office policy that required me to travel into New York City every other day. The round trip took roughly three hours by bus. By the end of each commute, I often felt physically nauseated from the constant swaying motion. At one point, I realized I was regularly working more than twelve hours a day while also sacrificing weekends to keep the project alive. That is when the burnout truly began. People often describe burnout as stress, but burnout feels different. Stress still contains energy. Burnout feels like the complete absence of it. I felt mentally foggy all the time. Concentration became difficult. Solving technical problems that once felt routine suddenly required enormous effort. I forgot details. I lost focus. Even after taking several days off during Labor Day weekend, I returned to work still feeling exhausted. Emotionally, something stranger happened. I stopped caring. Projects that once would have energized me now felt hollow and meaningless. I became detached from the work, detached from the teams, and in many ways detached from myself. Sunday evenings filled me with dread. Then the nightmares started. Over and over again, I dreamed that my coworkers and I had somehow become low wage restaurant workers. The product manager became the greeter. The Chief Architect became a busboy. The engineering manager became the dishwasher. I was always the waiter. And in every dream, disaster struck. A customer would die after eating spoiled food. The restaurant would catch fire. Chaos would erupt. Every single time I woke up drenched in sweat. Looking back now, I think my subconscious was trying to tell me something important. Burnout does not simply exhaust the body. It destabilizes your sense of identity and security. It transforms your career from a source of meaning into a source of survival anxiety. Eventually I realized that if I continued living this way, something inside me was going to break permanently. So I made changes. I forced myself to sleep consistently. I stopped scrolling through devices late at night and began prioritizing seven hours of uninterrupted sleep. I exercised every morning, even if only for thirty minutes on a treadmill. That small amount of movement changed my mental state far more than I expected. I intentionally reconnected with people outside of work including family, friends, church groups, and online gaming communities. These interactions reminded me that my existence extended beyond corporate deadlines and Jira tickets. Most importantly, I began enforcing boundaries. I stopped working weekends. I stopped responding to messages at all hours. On office commute days, I refused early morning and late night calls. At first, saying no felt uncomfortable. Then it felt liberating. Over several weeks, the nightmares stopped. The anxiety softened. My concentration improved. I became functional again. Not perfect. Not fully recovered. But functional enough to finish the project and survive the experience. The modern technology industry celebrates resilience almost obsessively. We glorify hustle culture, constant availability, and productivity at all costs. But there is a dangerous difference between resilience and self destruction. A human being is not a distributed system designed for infinite horizontal scaling. Eventually the system crashes. And increasingly, I think many engineers are approaching that point simultaneously. The layoffs may dominate the headlines, but the deeper story unfolding inside the industry is psychological exhaustion. Thousands of survivors are quietly carrying impossible workloads while trying to convince themselves they should feel grateful just to remain employed. That is not sustainability. That is survival mode. And survival mode comes with a cost. Get full access to AsianDadEnergy's Newsletter at asiandadenergy.substack.com/subscribe [https://asiandadenergy.substack.com/subscribe?utm_medium=podcast&utm_campaign=CTA_4]

15 de may de 202612 min
episode I Never Understood This Kind Of Love… Until I Had A Daughter artwork

I Never Understood This Kind Of Love… Until I Had A Daughter

Mother’s Day weekend took us to Pennsylvania to visit my parents. At some point during dinner at a fancy Chinese restaurant, an amusing but strangely revealing family intervention unfolded across the table. Two of the three most important women in my life joined forces against the third. My mother and my wife began criticizing the way I raise my eight-year-old daughter. According to my mother, I’m far too soft on her. She said I give in too easily, indulge her too much, and risk turning her into a spoiled, dissatisfied adult. My wife escalated the prosecution even further. She joked that if my daughter somehow climbed on top of my head and took a dump there, I would probably still smile and tell her she did a great job. And honestly? They’re probably not entirely wrong. But I also think they misunderstand why fathers become soft around their daughters. Because what a little girl gives her father is a kind of love many men go their entire lives without ever experiencing. Before the world hardens her, before social dynamics complicate everything, before adolescence introduces distance and self-consciousness, a young daughter often loves her father with complete sincerity. To her, he is a superhero. He is capable. He is safe. He can fix anything. He is the strongest person alive. And whether or not any of those things are objectively true almost doesn’t matter. What matters is that she believes it with her entire heart. That kind of trust changes a man. Especially because many men grow up learning that love is deeply conditional. You are valued for what you produce. For how much pressure you can absorb. For how useful you are. For how much suffering you can quietly endure without complaining. The modern workplace sharpens this instinct even further. Spend enough years in corporate environments and you begin to feel less like a human being and more like a performance engine. Your worth becomes measurable. Quantified. Ranked. Optimized. You are admired when successful. Tolerated when useful. Ignored when broken. But a little daughter doesn’t care about your LinkedIn profile. She doesn’t care about your title. She doesn’t care whether the world respects you. You bring her a cheap sticker from the grocery store and she treasures it like sacred treasure. You spend ten minutes drawing something silly with crayons beside her and she talks about it for days. You let her climb onto your shoulders and suddenly you’ve given her the greatest moment of her week. And in return, she gives you something that no promotion, no paycheck, no professional accomplishment can ever truly replicate: The feeling of being loved simply for existing. Not for winning. Not for providing. Not for performing. Just… for being you. I think this is why even the hardest men often melt around their daughters. The exhausted worker who never complains suddenly softens when a tiny voice asks, “Daddy, did you have a hard day today?” The exhausted engineer who spent all day absorbing stress suddenly feels his nervous system unclench when small arms wrap around his neck as though he is still the greatest hero in the world. For one brief moment, the armor comes off. Because many men spend their entire lives pretending to be invincible. At work, they swallow stress silently. They internalize disappointment quietly. They carry responsibility without acknowledgment because somewhere along the line they were taught that this is simply what being a man means. So when they come home exhausted and their daughter still looks at them with complete love and admiration, even if they are ordinary, flawed, frightened men, it touches something incredibly deep inside them. To her, they are still enough. Still safe. Still her favorite person in the world. And perhaps that is why fathers become so soft. Not because they lack discipline. Not because they are weak. But because that tiny little girl may be the only place in their entire lives where their heart is allowed to fully rest. And honestly? I think that’s worth protecting. Get full access to AsianDadEnergy's Newsletter at asiandadenergy.substack.com/subscribe [https://asiandadenergy.substack.com/subscribe?utm_medium=podcast&utm_campaign=CTA_4]

11 de may de 20265 min