Yellow Rocks!’s Post

All the layoffs for AI trade-offs have backfired. Most corporate AI pilot programs are failing, costing organizations more than they saved. 📊 McKinsey predicts the next 3 years will separate AI hype from reality. MIT finds 95% of generative AI projects fail to deliver ROI. The issue isn’t the tech—it’s poor integration, lack of reskilling, and cutting the very talent needed to make AI work. Success demands human expertise + smart AI integration. #AI #HumanResources #Innovation #FutureOfWork #MIT #Leadership #recruiting #humanresources #tech #Digital

I’ve been thinking a lot about what AI means for the future of work. Lately, I’ve spent time researching the long-term impact of AI on jobs, and what I found has been both fascinating and a little unsettling. Some estimates suggest that by 2040, up to 80% of knowledge workers could be displaced. That number stayed with me—not as a statistic, but as a signal of how deeply this technology will reshape our lives. Here’s how I see the shift unfolding: 🔹 2025–2030 — The Early Impact Only a small percentage of total jobs (around 2–5%) may disappear, mostly in customer service and software development. But we’ll also see new roles emerge—AI trainers, integration specialists, machine learning engineers. 🔹 2030–2035 — The Acceleration As AI grows cheaper and smarter, the wave gets stronger. 45–60% of roles could be reshaped. 15–35% might disappear entirely— emotional-intelligence-based jobs might not look the same. 🔹 2035–2040 — The Deep Shift By then, almost every job will be touched by AI. Humanoid robots and autonomous agents could become part of everyday work. Even the hybrid “human + AI” roles we’re creating now might fade away. Estimates suggest that 35–50% of all jobs could disappear entirely. It’s sobering—but also clarifying. The impact of AI on work isn’t a distant concept anymore; it’s the defining transformation of our time. The massive layoffs we’re witnessing today aren’t isolated events—they’re early signals of a deeper structural shift. The change is coming either way. The real question is—will we adapt with intention, or by necessity?

It's reality check for many. According to the MIT Study on GenAI State in Business, even with $ 30-40 billions enterprise investments, only 5% of companies have corp AI integrated to their daily business operations. The report finds that the most well-known myth "AI Will Replace Most Jobs in the Next Few Years" has no basis and there is no correlation between AI hype and layoffs over the last years. Report here (because aint no time to check comment for the link): https://lnkd.in/ekBbfyFa

AI promised to save me time. Instead, I'm working twice as hard. My teammates got laid off based on productivity gains that don't exist yet. Here's what's really happening with the AI productivity paradox: Companies are chasing theoretical 10x gains. But the reality looks different. I can generate content faster than ever. But I still need human time to: 🔍 Analyze the output 🔄 Iterate on ideas ✅ Evaluate quality 📊 Make strategic decisions My workload doubled after layoffs. The promised efficiency? Still waiting. The bigger question: What happens when we eliminate jobs faster than we create value? Consumers need purchasing power. Workers need meaningful roles. Companies need sustainable growth. Right now, we're optimizing for speed. But at what cost? The AI tools themselves will get expensive once market lock-in happens. Those "nearly free" services? That's temporary. I see a different future emerging: - Smaller, creative teams - AI handling admin tasks - Power shifting back to workers - Focus on heartfelt, human-centered work We need to ask harder questions about productivity. More output doesn't always mean better outcomes. What's your experience with AI productivity promises? Are you seeing real gains or just more work? #AI #Productivity #FutureOfWork

📢 New blog available now! AI and economic uncertainty are reshaping today’s job market — leading to widespread layoffs and a growing shift toward flexible staffing solutions. 💡 Discover how companies are adapting and what this means for the future of work: 👉 https://lnkd.in/g5jpUGvt #NextOneStaffing #ExecutiveSearch #FlexibleStaffing

There are way too many layoffs with implementing AI. Oddly, those companies cutting people from their roles for AI, I wonder, if they ever asked AI what it thought. Here's the answer I got from AI: "Here’s a sharp, thoughtful LinkedIn post draft that fits your idea and tone: --- **AI Isn’t Replacing People — It’s Exposing Leadership Choices** Lately, we’ve seen a wave of companies celebrating growth after adopting AI… only to follow it with staff cuts. But here’s the truth: businesses didn’t become successful *because* AI replaced people — they grew when humans and AI worked *together*. The synergy between human intuition, creativity, and empathy combined with AI’s efficiency is what created innovation and progress. Cutting the human side now isn’t optimization — it’s regression. If companies want sustainable success, they should be asking: > “How do we elevate our people with AI?” > Not, > “How do we eliminate them?” Because the future isn’t *AI vs. humans* — it’s *AI with humans*. The ones who understand that will build the strongest, most resilient organizations. ---" Even AI sees a lot of what we are doing to each other, is regression, when we could do so much more. #AI #human #CEO #business #dobetter #newchapter #evolvetogether #leadership

The AI Hiring Flywheel: Why Some Companies Hire Faster Than Others Why do some companies seem to hire top talent effortlessly, while others scramble every time? It comes down to the system they’ve built. Top performers are using what we call the AI Hiring Flywheel: 🚀 AI sources high-quality candidates continuously 🚀 Video outreach builds authentic connections before there's a vacancy 🚀 Nurtured pipelines mean talent is always warm and ready No more hiring ‘sprints’ that start from zero. Just a smooth, consistent flow of engaged candidates. It’s not magic, it’s a system. Let’s build your flywheel. #HiringFlywheel #AIRecruitment #ContinuousHiring #ApexxGlobal #SmartHiring #TalentOnDemand

AI: Empowering Employees or Enabling Layoffs? We need to talk about corporate priorities. 😠 The promise of AI was never about merely cutting costs. It was about unlocking unprecedented human potential, augmenting our capabilities, and delivering superior value to consumers. Yet, for too many organizations, AI has become a euphemism for "optimizing" the workforce right out of a job. This isn't a failure of technology; it's a failure of leadership. Instead of seeing AI as a powerful co-pilot to elevate human employees – freeing them from mundane tasks to focus on creativity, strategy, and deep customer relationships – some leaders have chosen a different path. A path driven by short-term gains, sacrificing long-term innovation and employee morale at the altar of quarterly earnings. The blame for this misguided trajectory lies squarely with: Short-sighted CEOs: Who prioritize immediate stock bumps and bonus cycles over sustainable growth and human capital investment. "Leech-like" Shareholders: Who relentlessly demand maximum extraction of value, stifling reinvestment into R&D, employee development, and genuine value creation. We must challenge this narrative. AI should be a tool for value addition to consumers and empowerment for employees, not just another lever for cost-cutting. What are your thoughts? How can we steer the AI revolution back towards its true, beneficial potential for all? #AI #FutureOfWork #Leadership #CorporateResponsibility #Innovation #EmployeeEmpowerment #ValueCreation #TechEthics

AI isn’t firing people, it’s firing boring work. Half of managers still believe AI leads to layoffs, but data (and real projects) tell a different story. “AI will take our jobs.” We’ve all heard it, over 50 % of managers still believe it. (Forbes Slovensko, Oct 2025, link in first comment) Yes, some companies have reduced headcount through AI. But in most cases, AI doesn’t cut people. It cuts wasted hours and bad decisions. 👉 At NEOSD, we see this ,together with Michal Bukovy and our team. AI isn’t firing people, it’s helping teams forecast, plan, and decide smarter. The difference isn’t automation. It’s augmentation, enabling people to deliver higher-value work. 💬 Curious what this looks like in practice? Check the short carousel below 👇 #ArtificialIntelligence #ForbesSlovakia #FutureOfWork #AIinBusiness #DecisionIntelligence #Automation #DigitalTransformation #Leadership #Innovation #NEOSD #ResultAsAService #AIProductivity