EXEED AI

Valerii Popov's Recent LinkedIn Posts

Valerii Popov

Valerii Popov

@valeriypopov

Career Mentor ◆ CV & Interview prep ◆ LinkedIn Optimization ◆ Engineering Manager (FinTech) ◆ 10+ yrs

en25 postsLinkedIn

Posts

Valerii Popov

Tech & AI

2mo

Last week I asked: Your employee is working 30-hour weeks in a flexible-hours role. What's your move? The results: → 83% - Address it directly in 1:1 → 11% - Clarify hours policy first → 6% - Document pattern, formal warning What this tells us: 83% chose the direct conversation first. This is a strong signal: most managers believe the first step isn't documentation, escalation, or policy review - it's talking to the person. Why? Because flexibility requires trust, and trust requires clarity. If the employee is new, there's a real chance they don't understand the boundaries. The 1:1 gives them the benefit of the doubt and sets the expectation clearly. But here's the nuance: Even a "direct 1:1" should be documented. You're not writing them up, you're protecting both of you. A simple follow-up email: "Thanks for our conversation today. Just to confirm: we discussed [expectation], and we agreed [next step]." That's not punitive. That's clarity. When does each approach work? 🟨 Direct 1:1 (83%) When the employee might genuinely not know the line, and you want to give them a chance to correct course. 🟩 Clarify policy first (11%) When you aren't sure what the official boundaries are, or the company culture is genuinely ambiguous. 🟦 Document + warning (6%) When this isn't the first conversation, or the pattern is willful and ongoing. 💡The takeaway: Start with the conversation. But don't skip the documentation. Clarity isn't micromanagement. It's leadership. What's worked (or failed) for you when addressing flexibility misuse? I'd love to hear your stories. ––– 🤝 The Human Side of Tech - a series on teams, leadership, and management in IT ––– 🔔 Follow me for practical insights on leadership & career growth. ♻️ Share to help others grow as leaders. 🤝 Your engagement matters, I always respond in return.
156

Valerii Popov

Tech & AI

2mo

Remember Sora? OpenAI's AI-TikTok that was going to change all? Yeah. It lasted 6 months. September 2025: OpenAI launches Sora, an app where you generate AI videos, scan your face, and drop yourself into any scene. The hype was instant. Everyone wanted an invite. Week 1: Chaos. Users immediately started generating deepfakes of Sam Altman. The most viral one? Altman walking through a pig farm asking: "Are my piggies enjoying their slop?" Another had him shoplifting Nvidia chips at Target. OpenAI tried to moderate. Failed spectacularly. People moved on to dead celebrities. Then fictional characters: Mario smoking weed, Pikachu doing ASMR. November 2025: Disney drops $1 billion to license Marvel, Pixar, and Star Wars characters. This was supposed to be the turning point. Legal AI content. Mainstream legitimacy. February 2026: Downloads collapse. Peak: 3.3 million in November. By February: 1.1 million. Total revenue from in-app purchases? $2.1 million. For a company valued at $840 billion. March 24, 2026: OpenAI shuts it down. The Disney deal? Never finalized. Money never transferred. Internal memo from leadership: "We need to stop chasing side quests and focus on real business products." The lesson? You can have: → The best AI model in the world → A $1 billion partner → Massive brand recognition But if you don't answer "Why would users come back tomorrow?" you have nothing. Distribution ≠ Product. Sora had hype. It didn't have a reason to exist. TikTok works because people watch people. An AI video feed? Turns out no one cares. Business Insider summed it up perfectly: "Farewell, Sora. You were too beautiful and too stupid for this world." Happy Friday, everyone! May your weekend be full of real moments, not AI-generated ones. And if you're building something, ask yourself: Are you solving a problem, or just chasing hype?
121

Valerii Popov

Tech & AI

2mo

You're stuck in a career trap nobody warned you about. You've reached senior level. Your work is excellent. But you're exhausted from being the smartest person in every room. Here's the uncomfortable truth: The path to strategic leadership isn't about doing MORE, it's about fundamentally changing WHAT you do. I just published a new article breaking down the exact framework for sustainable vertical growth: → How to build influence without authority → The 3-part formula that unlocks promotions → Why teaching is the fastest path to mastery → The shift from "expert" to "strategic leader" This isn't theory. It's a tested blueprint from leaders who made the climb without burning out. Which transition feels hardest for you right now: letting go of being the expert, or thinking like a business owner instead of a builder? ––– 🤝 The Human Side of Tech - a series on teams, leadership, and management in IT ––– 🔔 Follow me for practical insights on leadership & career growth. ♻️ Share to help others grow as leaders. 🤝 Your engagement matters, I always respond in return.
151

Valerii Popov

Tech & AI

3mo

AI wrote the code. Amazon lost 6 million orders. Now they're hiring senior engineers to babysit the AI. March 2026. Amazon's internal AI assistant, Amazon Q, has been proudly marketed as a tool that makes developers "2-3x more productive". Then this happened: March 2: Customers saw incorrect delivery dates. Result: 120,000 lost orders, 1.6 million errors on the site. Root cause: Amazon Q wrote the code. March 5: Orders dropped 99% across North America. Result: 6.3 million lost orders in 24 hours. Root cause: Someone deployed a change to production with zero documentation or approval. Amazon's response? Emergency all-hands meeting. 90-day "safety reset". Mandatory double code reviews. All 335 critical systems now under VP-level audit. And, wait for it, they're hiring more senior engineers to review what the AI writes. Let me get this straight: For two years, the industry said AI would replace engineers. Amazon actively promoted Q as a productivity multiplier. And now, in March 2026, they're scrambling to hire more humans to watch what the AI does, because the AI already broke prod twice in one week. The best part? Amazon's internal memo put it beautifully: "GenAI's usage will accelerate exposure of sharp edges and places where guardrails do not exist." Translation: "AI will show you every place where you didn't have a real process - really, really fast." Which is basically the definition of technical debt. Just 10x faster. When asked about the incidents, Amazon's official response? "The March 10 meeting was part of our regular review." 6.3 million lost orders. Just another Tuesday. Happy Friday, everyone! 🎉 May your AI assistants stay in their lane, your code reviews stay thorough, and your production deployments stay boring. What's the wildest "AI oops" moment you've seen, or caused, at work?
260

Valerii Popov

Tech & AI

3mo

Why does it feel like we're all running in place? It's not nostalgia. It's not laziness. It's a fundamental mismatch: our Pleistocene brains trying to run a 21st-century operating system. The world changed faster than our neural wiring, creating five specific pressure points that turn everyday life into a stress test. The 5 curses of the digital age: 1️⃣ The tyranny of metrics We replaced meaningful feedback with crude numbers: likes, KPIs, ratings. A programmer closes five trivial tickets instead of solving one foundational problem, because the dashboard looks better. The numbers go up. The meaning evaporates. 2️⃣ Digital memory kills the right to be wrong Human memory forgets. The internet doesn't. One emotional mistake from 10 years ago becomes a "delayed grenade". We've lost the right to error, and without error, there's no real growth. 3️⃣ Algorithmic illusion of extremes Algorithms hate the middle. They need extremes: wild success or catastrophe. We don't see millions living normal lives. We see 20-year-old millionaires or apocalyptic news. The invisible middle makes us feel like failures, when we're just... normal. 4️⃣ Information overload In 2004, average focus time: 2 minutes. In 2018: 47 seconds. We get 200+ notifications a day. Our brains burn energy on constant micro-switching, and by noon, we're drained without doing anything meaningful. 5️⃣ Experience becomes obsolete We're the first generation where "experience" is a liability, not an asset. Advice about "stable 20-year careers" sounds like survival tips for a world that no longer exists. Skills expire faster than we can learn them. So how do you survive? 💡4 rules for the new reality: → Radical metric limitation: Pick two metrics that actually matter. Ignore the rest. → Feedback hygiene: Not everything deserves your emotional reaction. → Refuse to optimize for the algorithm: Don't do things just to "be noticed" by the system. → Separate zones of influence: Define what you can actually control. Cut the noise. Sometimes the most rational strategy is to consciously opt out of a game designed to drain you. Which of these five hits you hardest right now? ––– 🤝 The Human Side of Tech - a series on teams, leadership, and management in IT ––– 🔔 Follow me for practical insights on leadership & career growth. ♻️ Share to help others grow as leaders. 🤝 Your engagement matters, I always respond in return.
157

Valerii Popov

Tech & AI

3mo

January 25, 1812. Nottingham, England. Angry workers, faces masked, stormed into a weaver's home and destroyed five knitting machines. They weren't vandals. They were the Luddites, people who saw machines not as progress, but as existential threats. January 5, 2026. CES, Las Vegas. Boston Dynamics unveils the first commercial version of Atlas. Not the backflipping YouTube robot. A production-ready machine designed to work in factories. Here's what changed: Atlas started as a rescue robot, built after Fukushima to enter environments too dangerous for humans. Then Hyundai bought Boston Dynamics. And they turned an expensive art project into an industrial tool. The old Atlas: Hydraulic. $1-2 million. Loud, leaky, expensive to build. The new Atlas: Electric. $130-320k. Modular. Mass-producible. Its actuators, joints, are 60% shared with Hyundai car components. They roll off the same assembly lines. Why this matters: → Superhuman efficiency: 360° rotating joints. No need to turn around. Saves seconds per movement. → Repair in 5 minutes: Damaged hand? Swap the module. No downtime. → 4-hour battery life. Swaps its own battery in 3 minutes. → The "hive effect": One robot learns a new task in Korea, every robot in the network instantly knows it too. The economics: $130-320k = the cost of two U.S. workers for two years. The robot doesn't get sick. Doesn't join unions. Works three shifts. By 2028: Factory producing 30,000 units/year. By 2034: Millions. Here's the uncomfortable question: In 1812, the Luddites lost. Machines replaced weavers. Progress won. But this time, it's not just factory jobs. Atlas can work anywhere humans can: warehouses, construction sites, logistics hubs. We've built a machine that's better than us at almost everything physical labor requires. Are we ready for a world where work looks "human", but isn't done by humans? What jobs do you think will be the first to go, and which ones will last the longest? ––– 🛠️ Engineering Notes - about decisions, trade-offs, and the thinking behind them ––– 🔔 Follow me for real engineering decisions. ♻️ Share to spread better engineering practices. 🤝 Your engagement matters, I always respond in return.
177

Valerii Popov

Tech & AI

3mo

You just found out your employee has been "working" 30-hour weeks... You're a new manager. Four months in, managing a small team. Your job requires you to be out of the office a lot, client meetings, vendor visits, events. So you don't always see when people arrive or leave. And honestly? You didn't want to be a clock-watcher. Your company has flexible hours. You trust your team. But then a coworker pulls you aside: "Hey... are you aware that [employee] is coming in late almost every day?" You weren't. So you start paying attention. And the pattern becomes clear: → Arrives 20-30 minutes late most days → Takes 80-90 minute lunches → Leaves 5-10 minutes early She also texts you a few times a month saying she'll be "running late", which now makes you wonder if those were on top of the already-late arrivals. If this schedule were consistent, it would add up to roughly a 30-hour workweek. Oh, and her tasks are behind. You've been picking up the slack to keep things moving. Here's the dilemma: Your company allows flexibility, but expects the time to be made up. She's new. Maybe she doesn't realize the boundaries. But your coworker noticed. Which means others probably have too. What's your move? Have you ever had to draw the line between "flexibility" and "taking advantage", and how did you handle it? 🗓️ Your vote helps others facing this situation. Cast it, then drop your reasoning in the comments. In a week, I'll share the results and what I learned from your responses. ––– 🤝 The Human Side of Tech - a series on teams, leadership, and management in IT ––– 🔔 Follow me for practical insights on leadership & career growth. ♻️ Share to help others grow as leaders. 🤝 Your engagement matters, I always respond in return.
71

Valerii Popov

Tech & AI

2mo

Reid Wiseman was named commander of Artemis II in April 2023. The mission was supposed to launch in late 2024. Then it moved to September 2025. Then February 2026. Then they found a hydrogen leak during dress rehearsal, and it moved again. Four delays. Three years of preparation. On April 1, 2026, they finally launched. First humans toward the Moon in 53 years. Here's what I keep thinking about. We talk about leadership as vision. As decision-making. As "moving fast". But Wiseman's job for three years wasn't moving fast. It was keeping three people mission-ready for a launch date that kept disappearing. Maintaining focus when the timeline is a lie. Rebuilding belief after every postponement. That's a leadership skill nobody puts on a resume. Wiseman didn't hold his team together with motivational speeches. He held them together with preparation. Every delay was used: → More simulations → More failure scenarios → More hours in the capsule He turned waiting into readiness. Most leaders treat delays as damage. The best ones treat them as runway. Happy Friday, everyone! This weekend, think about this: When was the last time you had to walk into a room after the fourth delay and say: "We're still doing this. Here's why it matters." How did you keep the team believing? ––– 🤝 The Human Side of Tech - a series on teams, leadership, and management in IT ––– 🔔 Follow me for practical insights on leadership & career growth. ♻️ Share to help others grow as leaders. 🤝 Your engagement matters, I always respond in return.
145

Valerii Popov

Tech & AI

2mo

Your brain has 50 open tabs. And none of them close when you log off. You're a manager now. The work ends at 6pm. But your brain? It's still running. You're making dinner, and suddenly you're replaying that conversation with your direct report. Did I say the right thing? Should I have handled it differently? You're trying to watch TV, but you're mentally reviewing tomorrow's 1:1s. What if they ask about [x]? Did I miss something today? It's not the workload. It's not even the responsibility. It's the fact that your mind won't shut up. Even when you're "off", you're still on. The mental noise doesn't stop. It just runs in the background, draining you in ways you didn't expect. Some people say it gets easier. Others say it's just part of the role. So here's the question: What's worked, or failed, for you to actually switch off after work? ––– 🤝 The Human Side of Tech - a series on teams, leadership, and management in IT ––– 🔔 Follow me for practical insights on leadership & career growth. ♻️ Share to help others grow as leaders. 🤝 Your engagement matters, I always respond in return.
71

Valerii Popov

Tech & AI

2mo

29% of people quit within the first month of getting promoted... Not fired. Quit. I used to think promotion was the finish line, proof you'd made it. But the data tells a darker story. ADP studied over 1 million employees and found something startling: Nearly 1 in 3 people walk away right after reaching the goal they'd been chasing for years. Why? Because success doesn't just elevate you, it isolates you. Three hidden costs no one warns you about: 1️⃣ Your old skills become liabilities What made you a star performer can make you a bad manager. Harvard/Yale research found that top salespeople promoted to sales manager led teams that performed 7.5% worse than those led by "average" salespeople. 𝐓𝐡𝐞 𝐭𝐫𝐚𝐩: trying to do everything instead of enabling others to do it. 2️⃣ You lose your reference group Stanford found that 62% of people who doubled their income lost touch with most old friends within three years. Not through conflict, through quiet drift. You're suddenly "too much" for the old circle, but not yet trusted by the new one. 3️⃣ Feedback becomes filtered At lower levels, reality teaches you fast: bad work = immediate consequences. But status creates a "truth filter". People soften criticism. You hear what you want to hear. By the time you realize something's broken, it's often too late. What actually works: → Before you take the promotion, map what you'll stop doing (not just what you'll start). → Protect one "anchor relationship" from your old circle, someone who still sees you as you, not your title. → Create a "truth council": 2-3 people with permission to tell you hard things without fear. Growth isn't the problem. Growing without a foundation is. Which of these costs have you felt most, and how did you handle it? ––– 🤝 The Human Side of Tech - a series on teams, leadership, and management in IT ––– 🔔 Follow me for practical insights on leadership & career growth. ♻️ Share to help others grow as leaders. 🤝 Your engagement matters, I always respond in return.
155

Valerii Popov

Tech & AI

2mo

We just turned DNA into editable code. For thousands of years, your genes were fate. Born with a disease? Accept it. Want better endurance? Hope nature gave it to you. Not anymore. CRISPR changed the rules. It's a genetic "Find & Replace" tool, like Photoshop, but for your DNA. And it's already here. Here's what most people don't know: 1️⃣ We stole it from bacteria. CRISPR isn't a human invention. It's an immune system that bacteria use to remember viruses and fight them off. Scientists just figured out how to hijack it. Two researchers, Doudna & Charpentier, won the Nobel Prize in 2020 for turning bacterial defense into the world's most precise gene-editing tool. 2️⃣ The first "designer babies" were born in 2018. A Chinese scientist named He Jiankui edited the genes of two girls, Lulu and Nana, to make them immune to HIV. He faked ethics approval. He hid the truth from doctors. He went to prison. But the babies are still alive. And we can't un-edit them. 3️⃣ In 2023, the first CRISPR drug was approved. It's called Casgevy, and it treats sickle cell disease and beta-thalassemia. Doctors take your bone marrow cells, edit them in a lab, and put them back. Not a temporary fix, a permanent cure. This is the first time genetic editing moved from research labs into hospitals. 4️⃣ Super-animals are already real. China bred beagles with double muscle mass. Edited sheep are 29% bigger than normal. Edited goats: 32% bigger. Edited pigs: 14% bigger. This isn't sci-fi. It's livestock economics. Here's the question nobody wants to ask: If we can edit animals for profit, and we can edit humans for disease... Where's the line between "curing" and "designing"? Right now, we're deciding: → Who gets access to genetic upgrades? → What counts as a "disease" worth fixing? → Whether biology becomes the next form of inequality. Are we ready to be the programmers of our own evolution? ––– 🛠️ Engineering Notes - about decisions, trade-offs, and the thinking behind them ––– 🔔 Follow me for real engineering decisions. ♻️ Share to spread better engineering practices. 🤝 Your engagement matters, I always respond in return.
170

Valerii Popov

Tech & AI

2mo

I spent a month negotiating with the wrong person. Recently, I needed to rent a space for my business. I reached out to a company and got connected with someone on their team. The conversations were... fine. Polite. Professional. But slow. Every question needed "internal alignment". Every decision required "approval from leadership". A month went by, and we were still discussing basic terms. Then he went on vacation. I didn't know this, so I called the company again. This time, I got someone else. A woman who answered with genuine energy. Within the first 10 minutes, I could feel the difference: ❌ She didn't need to "check with someone". ✅ She knew the answers. ❌ She didn't say "let me get back to you". ✅ She made decisions on the call. ❌ She didn't treat me like a transaction. ✅ She was genuinely interested in making it work. One week later, we were in the final round of negotiations. Here's what I realized: It wasn't about competence. Both people were competent. It was about authority and motivation. The first person was a gatekeeper: filtering requests, managing process. The second person was a decision-maker, or at least empowered to act like one. Same company. Same deal. Completely different experience. The lesson? Sometimes the obstacle isn't the company, the process, or even the deal itself. It's just that you're talking to someone who can't (or won't) move things forward. And the breakthrough happens the moment you find the person who can. Have you ever spent way too long negotiating, only to realize later you were talking to the wrong person? ––– 🌿 Sunday Self-Reflection ––– 🔔 Follow me for reflections on leadership, learning & personal growth ♻️ Share to inspire thoughtful conversations. 🤝 Your engagement matters, I always respond in return.
86

Valerii Popov

Tech & AI

2mo

The best leaders I know aren't the ones who never break down. They're the ones who admit when they're breaking. Here's the paradox nobody talks about: we demand invulnerability from our leaders, then complain they lack empathy. We want them to be human, but punish every sign of humanity. I spent years doing exactly this, expecting my boss to be flawless while desperately wanting my team to see me as a person. The moment I recognized this double standard, everything changed. In my latest newsletter, I break down: → Why leadership loneliness isn't a personal failure → The "Appropriate Authenticity" framework that lets you be human without losing authority → How to recalibrate expectations (both upward and downward) → Why your team performs BETTER when you admit limits If you've ever felt alone on the stadium field while everyone watches, this one's for you. ––– 🤝 The Human Side of Tech - a series on teams, leadership, and management in IT ––– 🔔 Follow me for practical insights on leadership & career growth. ♻️ Share to help others grow as leaders. 🤝 Your engagement matters, I always respond in return.
159

Valerii Popov

Tech & AI

2mo

Last week I asked: Your best employee made a catastrophic mistake after 10 years of stellar work. Your performance review 1-on-1 is in two days. He's devastated. The results: → 50% – Frame it as growth opportunity → 31% – Acknowledge it, focus forward → 19% – Let him bring it up first What this tells us: 🟨 Half of you want to turn the mistake into a lesson. This makes sense, it gives structure to the conversation and a clear path forward. It says: "This happened, and here's how it makes you stronger." 𝐁𝐮𝐭 𝐡𝐞𝐫𝐞'𝐬 𝐭𝐡𝐞 𝐧𝐮𝐚𝐧𝐜𝐞: Not every catastrophic mistake needs to be a "growth opportunity" speech. Sometimes the person already knows what they learned. And they don't need you to package it for them, they need you to signal that one mistake doesn't erase a decade of trust. 🟩 31% chose "Acknowledge it, focus forward." This approach respects both the mistake and the person. You're not pretending it didn't happen. You're not turning it into a training module. You're saying: "We dealt with it. You handled it well. Now let's talk about what's next." 𝐖𝐡𝐞𝐧 𝐭𝐡𝐢𝐬 𝐰𝐨𝐫𝐤𝐬: When the employee has already processed it and needs permission to move on, not more reflection. 🟦 19% chose "Let him bring it up first." The smallest group, but an important one. This approach gives the employee control. Maybe he doesn't want to rehash it. Maybe he's already beating himself up and doesn't need you to add more weight. The risk? If you don't bring it up, he might interpret silence as disapproval. 𝐖𝐡𝐞𝐧 𝐭𝐡𝐢𝐬 𝐰𝐨𝐫𝐤𝐬: When you've already had direct conversations about it, and the 1-on-1 is about the review, not the incident. 💡 The synthesis: All three approaches can work, depending on the person and the context. → "Growth opportunity" works when the person needs structure and a clear narrative. → "Acknowledge, focus forward" works when the person needs closure and permission to reset. → "Let him bring it up" works when the person needs agency and space to process on their own terms. The key question isn't "Which approach is right?" It's: "What does this person need from me right now?" How do you decide which approach to take? What signals tell you whether someone needs structure, closure, or space? ––– 🤝 The Human Side of Tech - a series on teams, leadership, and management in IT ––– 🔔 Follow me for practical insights on leadership & career growth. ♻️ Share to help others grow as leaders. 🤝 Your engagement matters, I always respond in return.
162

Valerii Popov

Tech & AI

3mo

Why zebras don't stress out, but we do. A zebra gets chased by a lion. Heart racing. Full sprint. Escapes. Five minutes later? Calmly eating grass. No therapy. No ruminating about the chase. Just... back to normal. Humans? We're different. We sit in meetings thinking about deadlines. We lie in bed replaying conversations. We stress about things that haven't happened yet, and might never happen. Here's the key difference: → Fear is acute. It has a clear threat and a clear end. The zebra sees the lion, runs, survives - done. → Stress is chronic. It's never fully resolved. You're always in the "waiting room" of uncertainty. And that's where the damage happens. Not all stress is bad. There's eustress - short-term, productive stress with a clear endpoint. Think: writing your thesis in three nights, closing a tough deal, launching a product. In those moments, adrenaline and cortisol flood your system. You get a temporary superpower: focus sharpens, productivity spikes. This is your internal power plant. It's how breakthroughs happen. The first iPhone wasn't built in a spa. Gagarin's flight wasn't a calm Sunday drive. But then there's distress, when stress becomes chronic. No endpoint. No recovery. Just constant tension. That's when: → Your thinking gets narrow (tunnel vision) → Creativity dies (survival mode kills new ideas) → Memory fails (you forget meetings, lose focus) It's like lifting weights 24/7 without rest. Eventually, something breaks. So how do you stay in "eustress" mode without burning out? 1️⃣ Balance wheel Don't put all your energy in one place. If work is your only pillar, any crisis there becomes catastrophic. 2️⃣ Bank of wins Keep a "victory log". When facing something scary, revisit past successes. Proof you've survived before reduces panic. 3️⃣ Control the basics Sleep, food, routine. In chaos, your brain needs anchors. Reduce unnecessary friction (delegate logistics, automate boring tasks). 4️⃣ Future self perspective Imagine yourself a year from now, you've already solved this problem. What does that version of you see that current-you is missing? The philosophy: Stress isn't the enemy. It's the price of growth. But chronic stress, stress without resolution, is radiation. Invisible, slow, destructive. The key? Close the loop. Take action. Finish the cycle. How do you handle being stuck in the "stress room"? What actually works for you? ––– 🤝 The Human Side of Tech - a series on teams, leadership, and management in IT ––– 🔔 Follow me for practical insights on leadership & career growth. ♻️ Share to help others grow as leaders. 🤝 Your engagement matters, I always respond in return.
182

Valerii Popov

Tech & AI

3mo

Last week, I posted a scenario: Your brain has 50 tabs open, and none of them will close. Follow-ups. Check-ins. Small things that pile up. The mental load of management is crushing you. The results: → 60% said: "Build a system, track it all" → 30% said: "Let small stuff go, prioritize" → 10% said: "Push ownership to the team" What's striking: 60% chose systems, even though systems themselves create work. When our brains are overloaded, we reach for structure. Systems feel safe. If it's tracked, we won't drop the ball. And that's true. Systems do work. But here's the nuance: Systems have a cost. Every system requires: → Time to set up → Energy to maintain → Discipline to actually use If you build a system and don't maintain it? Now you have two problems. Here's when each approach works: 🟨 "Build a system" (60%) works when: → You're managing complex, interdependent tasks → You have recurring follow-ups → Your brain genuinely can't hold everything 🟩 "Let small stuff go" (30%) works when: → You're treating everything as equally important → You're micromanaging things the team should own 🟦 "Push ownership to team" (10%) works when: → You're the bottleneck, tracking everything yourself → Your team is capable but hasn't been asked to own follow-ups Here's what I believe: The 60% who chose "build a system" aren't wrong. But many are building systems to manage problems that could be solved by delegation or deprioritization. If your system has 50 items, it's not solving the problem, it's organizing the chaos. The real question isn't: "How do I track everything better?" It's: "Why am I the one tracking all of this?" Sometimes the best system is teaching your team to manage their own follow-ups. If you voted "build a system", what are you tracking that you could delegate or stop doing entirely? ––– 🤝 The Human Side of Tech - a series on teams, leadership, and management in IT ––– 🔔 Follow me for practical insights on leadership & career growth. ♻️ Share to help others grow as leaders. 🤝 Your engagement matters, I always respond in return.
175

Valerii Popov

Tech & AI

3mo

The 7 Habits of Highly Effective Corporate Survivors If you're into growth, innovation, or "making a difference", stop reading now 😆 Here's your playbook: 1. 𝐁𝐫𝐚𝐧𝐝 𝐲𝐨𝐮𝐫𝐬𝐞𝐥𝐟 𝐚𝐬 "𝐚 𝐩𝐞𝐫𝐬𝐨𝐧 𝐨𝐟 𝐚𝐜𝐭𝐢𝐨𝐧" Use phrases like "I'm all about results" and "I focus on execution, not theory". Make sure no one ever catches you thinking too deeply. Philosophy is for losers. 2. 𝐃𝐫𝐨𝐰𝐧 𝐞𝐯𝐞𝐫𝐲𝐨𝐧𝐞 𝐢𝐧 𝐲𝐨𝐮𝐫 𝐦𝐞𝐭𝐫𝐢𝐜𝐬 Hire methodologists. Build frameworks. Create dashboards so confusing that no one understands them, but everyone's too afraid to ask. 3. 𝐊𝐢𝐜𝐤 𝐝𝐨𝐰𝐧, 𝐤𝐢𝐬𝐬 𝐮𝐩 Rule your team through fear. Fear = respect, obviously. Agree with your boss, no matter what they spew. If you screw up? Apologize, take the yelling, move on. Never defend your own point of view. That invites consequences. 4. 𝐒𝐩𝐞𝐚𝐤 𝐨𝐧𝐥𝐲 𝐢𝐧 𝐣𝐚𝐫𝐠𝐨𝐧 𝐚𝐧𝐝 𝐚𝐜𝐫𝐨𝐧𝐲𝐦𝐬 Why explain anything? That just invites questions. Let them drown in your Three-Letter Acronyms. 5. 𝐑𝐞𝐣𝐞𝐜𝐭 𝐚𝐥𝐥 𝐜𝐡𝐚𝐧𝐠𝐞 𝐩𝐫𝐨𝐩𝐨𝐬𝐚𝐥𝐬 𝐢𝐦𝐦𝐞𝐝𝐢𝐚𝐭𝐞𝐥𝐲 When a colleague suggests something new: "Nah, that won't work. We tried that already. I know." When it inevitably fails, because you didn't support it: "I told you so." 6. 𝐃𝐞𝐟𝐥𝐞𝐜𝐭 𝐫𝐞𝐬𝐩𝐨𝐧𝐬𝐢𝐛𝐢𝐥𝐢𝐭𝐲 𝐥𝐢𝐤𝐞 𝐚 𝐩𝐫𝐨 Master the phrase: "That's not my area." If you can pass the buck - do it, without hesitation. Follow these habits religiously, and you'll survive 10, 20, maybe 30 years as a perfectly mediocre corporate fixture. Happy Friday, everyone! 🎉 May your weekend be free of jargon, your metrics be someone else's problem, and your responsibility firmly deflected to another department. How many of these "habits" have you spotted in your workplace this week?
115

Valerii Popov

Tech & AI

3mo

You know that feeling when you're doing everything "right", but your career feels stuck? Showing up early. Delivering results. Being a team player. And then you watch someone else get promoted, someone who seems to break all the rules. I used to think it was luck. Or politics. Or that I wasn't "corporate" enough. Turns out, I was just playing by the wrong rules. The people who grow fastest in big companies aren't the ones who follow the traditional playbook. They operate on a completely different framework, 5 principles that feel counterintuitive but work every single time. I just published my latest newsletter 👇 breaking down this exact framework. It's not about working harder. It's about working differently. If you're tired of playing the game wrong, this one's for you. ––– 🤝 The Human Side of Tech - a series on teams, leadership, and management in IT ––– 🔔 Follow me for practical insights on leadership & career growth. ♻️ Share to help others grow as leaders. 🤝 Your engagement matters, I always respond in return.
133

Valerii Popov

Tech & AI

3mo

Your HR team can't fix motivation. I know this sounds harsh, but here's what happens when leaders delegate engagement to HR: → Endless meetings that solve nothing → Passive-aggressive "quiet quitting" → People doing the bare minimum → Innovation dies The cost? Way higher than you think. Here's the uncomfortable truth: Motivation is a leadership skill, not an HR program. I just published a deep-dive based on organizational psychology research covering: ✓ Why money only buys quantity, never quality ✓ The 3 universal needs every team member has (hint: it's not pizza Fridays) ✓ The 5-level motivation spectrum, and where your team actually sits ✓ Why your top performers are your biggest burnout risks ✓ 2 diagnostic tools you can use this week If you lead a team and want to move beyond "engagement surveys" that change nothing, this one's for you. Full article 👇 ––– 🤝 The Human Side of Tech - a series on teams, leadership, and management in IT ––– 🔔 Follow me for practical insights on leadership & career growth. ♻️ Share to help others grow as leaders. 🤝 Your engagement matters, I always respond in return.
142

Valerii Popov

Tech & AI

3mo

Last night I played Mafia. You know the game - 10 people sit around a table. Some are "townspeople". Some are "mafia". Everyone claims they're innocent. But you know someone is lying. And if that "someone" is you? Even better. At first glance, it seems simple. But the longer you play, the more you realize: It's not about what people say. It's about what they don't say. The person who talks the most? Sometimes innocent, desperately trying to prove it. The person who stays quiet? Could be mafia laying low, or just someone who doesn't want to get voted out for no reason? The person who's too helpful? Maybe genuine. Maybe deflecting. The skill isn't speaking. It's listening. Not just to words, but to hesitation, deflection, and who's steering the conversation away from whom. And then I thought: This is exactly what corporate meetings feel like sometimes. Everyone says they're aligned. Everyone nods. Everyone agrees the plan makes sense. But someone in the room knows it won't work. Someone has doubts they're not voicing. Someone is waiting to see which way the wind blows before committing. The question is: can you hear what's not being said? Mafia taught me that listening isn't passive. It's active pattern recognition. It's noticing who avoids eye contact when a specific topic comes up. It's catching the moment someone agrees too quickly. If you ever get a chance to play, don't pass it up. It's one of the best communication training exercises disguised as a game. Have a great weekend, everyone! And if you're heading into Monday meetings, remember: everyone says they're on board. But someone's probably mafia. 😉 ––– 🌿 Sunday Self-Reflection ––– 🔔 Follow me for reflections on leadership, learning & personal growth ♻️ Share to inspire thoughtful conversations. 🤝 Your engagement matters, I always respond in return.
123

Valerii Popov

Tech & AI

3mo

Everyone's talking about AI. But when someone asks "what actually is it?", most people go quiet. Is it the same as machine learning? Are neural networks and AI the same thing? What about ChatGPT - is that "real" AI? The terminology is confusing. And that confusion makes it hard to have informed conversations about one of the most important technologies of our time. So I put together a simple visual guide, no jargon, no hype. Here's what's inside: → The difference between AI, ML, and neural networks → What generative AI actually does → The 3 types of AI and which ones actually exist today If you've ever felt lost in the AI conversation, this one's for you. 👇 ––– 🛠️ Engineering Notes - about decisions, trade-offs, and the thinking behind them ––– 🔔 Follow me for real engineering decisions. ♻️ Share to spread better engineering practices. 🤝 Your engagement matters, I always respond in return.
12 pages
201

Valerii Popov

Tech & AI

2mo

Senior means you know the answer. Staff means you know the answer might be wrong. For years, I was rewarded for being right. School, university, first job - every system told me the same thing: Know the answer. Be confident. Don't hesitate. So I became the person who always had a solution. And honestly? It felt great. Until the day I realized: "I know the answer" had become part of my identity. And I couldn't say "I'm not sure" without feeling like I was losing myself. Here's what I didn't see: From the outside, the best leaders I've worked with looked like they always knew what to do. But behind the scenes? They weren't the most confident. They were the most honest about what they couldn't see. They made decisions not because they were right, but because they knew how to act when there wasn't a right answer yet. The shift happened for me in a meeting. I had a ready answer. Everyone was waiting. And for the first time, I chose to say: "I need to think about this." Not "I don't know." Not "I know." But: "I know, and here's where I might be wrong." That pause changed everything. Because I stopped defending my position. I started looking for the best outcome. Three levels: → Junior: "I don't know." → Mid: "I know." → Strong: "I know, and here's where I could be wrong." That third level is maturity. It's not uncertainty. It's clarity about your own blind spots. When did you first choose "I'm not sure" over looking confident? ––– 🌿 Sunday Self-Reflection ––– 🔔 Follow me for reflections on leadership, learning & personal growth ♻️ Share to inspire thoughtful conversations. 🤝 Your engagement matters, I always respond in return.
121

Valerii Popov

Tech & AI

2mo

When 10,000 bees need to pick a new home, they don't appoint a CEO. They dance. Scout bees fly out, find potential tree hollows, then return to perform a "waggle dance". The better the site, the longer and more energetic the dance. Other bees watch, evaluate, then fly out to verify. Within 48 hours, the swarm picks the objectively best option, without a single leader making the call. This is collective intelligence. And it's not magic. It's math. Here's what surprised me most: → On the game show "Who Wants to Be a Millionaire", when contestants "Phone a Friend" (ask an expert), they get the right answer 65% of the time. → But when they use "Ask the Audience" (poll the crowd), accuracy jumps to 91%. The "incompetent" majority beats the expert. Oxford scientists put GPS trackers on pigeons to study how they navigate home. In one group, they regularly swapped out experienced birds for rookies. The result? The routes got straighter and more efficient with each generation. The newcomer didn't just copy the veteran, he corrected the veteran's mistakes, then passed the improved route to the next bird. That's cumulative culture. Not tradition. Evolution. Even bacteria do this. Researchers at UC San Diego found that microbes in biofilms communicate through electrical channels in their membranes, just like neurons. When food runs low, the colony sends a signal. "Peripheral" cells self-destruct to save resources for the core. No brain. No nervous system. Just a distributed network making life-or-death decisions. So here's the question: We worship the genius founder, the visionary CEO, the lone expert. But nature built intelligence differently: Not through hierarchy. Through connection. Is your team a hive, or just a crowd waiting for orders? ––– 🛠️ Engineering Notes - about decisions, trade-offs, and the thinking behind them ––– 🔔 Follow me for real engineering decisions. ♻️ Share to spread better engineering practices. 🤝 Your engagement matters, I always respond in return.
156

Valerii Popov

Tech & AI

2mo

Your "perfect morning routine" is probably making you worse... Green smoothies. Ice baths. Journaling. LinkedIn is full of 5am warriors with their aesthetic productivity rituals. But here's what nobody tells you: The aesthetic has nothing to do with what actually works. Most people lose their day in the first 20 minutes after waking up. Not because they didn't meditate. Because they handed their attention to their phone before their brain was even awake. What doesn't work: ❌ Copying Tim Cook's 4am routine when your biology is different ❌ Pretending you can "hack" sleep with cold showers and willpower ❌ Forcing rituals that look good on Instagram but drain your energy If your morning system only works when you're at peak discipline, it will crack. What actually works: ✅ Protect your sleep, nothing else matters if you're tired. I used to think I could power through on 5 hours. I was wrong. If I didn't sleep well, I'll reschedule the meeting. I'd rather apologize 10 times than sit in a negotiation with a dead brain. ✅ Eliminate decision fatigue early. Every micro-decision (what to wear, what to eat) burns cognitive fuel you need for real work. I eat the same breakfast every day: oatmeal with berries. Sounds weird. Works perfectly. I closed the "what should I eat?" loop forever. ✅ First meeting at 10:30am. Always. No exceptions. I don't waste energy every morning deciding "where do I start?" That decision was made once, long ago. ✅ Let light reset your biology. First thing I do: open the curtains. Not for mood. For biology. Light on your retina drops melatonin and tells your brain: "Night is over." Indoor light: 200-300 lux. Cloudy day outside: 10,000+ lux. 10 minutes by an open window does more than any pre-workout. Stop copying other people's mornings. Build yours around: → Sleep you can't negotiate → Decisions you've already made → Light that resets your system Tomorrow morning, try this: 1️⃣ Don't touch your phone for the first 10 minutes 2️⃣ Open the curtains immediately 3️⃣ Eat the same thing (reduce decision load) You don't need a perfect routine. You need a sustainable one.
159

Valerii Popov

Tech & AI

2mo

One of your best employees just made a catastrophic mistake... You've worked with him for 10 years. Reliable. Conscientious. The kind of person you never worry about. Until last week, when he made an error that resulted in the loss of client data. It wasn't carelessness. It wasn't negligence. It was just... human error. The kind that happens once in a decade-long career. You handled the aftermath: → Fixed the process gap that allowed it to happen → Put additional safeguards in place → Worked with the client He took full responsibility. Participated in the post-incident analysis. Did everything right. But now? He's devastated. He's not an overly emotional person, but this has clearly hit him hard. And here's the timing: Your annual performance review 1-on-1 is in two days. You know he's dreading it. Ten years of excellent work. One catastrophic mistake. You've already told him: → You appreciate how he handled it → You're confident it was a one-off, not a pattern → Everyone makes at least one serious error in career But the 1-on-1 is coming. And you're not sure how to approach it. Do you: → Bring it up directly, acknowledge it, then shift focus to the future? → Let him bring it up first, and if he doesn't, focus on the normal review? → Or frame it as a growth moment, discuss what he learned and how it makes him stronger? 🗓️ Your vote helps others facing this situation. Cast it, then drop your reasoning in the comments. In a week, I'll share the results and what I learned from your responses. ––– 🤝 The Human Side of Tech - a series on teams, leadership, and management in IT ––– 🔔 Follow me for practical insights on leadership & career growth. ♻️ Share to help others grow as leaders. 🤝 Your engagement matters, I always respond in return.
39
Valerii Popov Recent LinkedIn Posts | EXEED AI