Håkan Apell’s Post

Quotations 📚 “Artificial intelligence is shifting from pilots and productivity hacks into the foundational operation of companies.” 📚 “The economic gains from AI will not come simply from installing a model, but from redesigning workflows, incentives and management practices.” 📚 “AI now reaches deeply into analytical, creative and communication tasks once considered the foundation of knowledge work.” 📚 “The real bottleneck in the digital economy is not invention—it is diffusion.” 📚 “Automation, augmentation and transformation together define how AI reshapes work.” 📚 “AI is less a job destroyer than a job shaper.” 📚 “Trust, more than capability, shapes AI adoption.” 📚 “The next chapter of AI at work will be written not in code, but in the choices leaders make about agency, accountability and value.” Key Points 📚 AI is moving from isolated productivity tools to core enterprise infrastructure embedded in workflows, decision-making and collaboration. 📚 AI impacts work across three dimensions: automation (task replacement), augmentation (AI assistants), and transformation (new roles and workflows). 📚 Entry-level tasks such as reporting, slide building and ticket triage are increasingly automated, reshaping the traditional career ladder. 📚 Mid-career coordination roles may face unexpected pressure, as AI accelerates junior ramp-up and allows experts to work directly with AI systems. 📚 Companies increasingly view AI as a general-purpose collaborator or “digital worker”, capable of analyzing data, simulating scenarios and generating options. 📚 AI deployment success depends less on models and more on data quality, governance, integration and organizational redesign. 📚 Cultural benefits are emerging alongside productivity gains, including reduced burnout, faster learning cycles and more experimentation. 📚 Adoption remains uneven across sectors, organizations and regions, with large enterprises leading experimentation but smaller firms showing innovative use cases. 📚 Trust, explainability, and data governance are becoming the primary bottlenecks for scaling AI in regulated environments. 📚 New roles are emerging, including AI orchestrators, human-AI collaboration designers, and AI ethics officers. Headlines 📚 “AI Is No Longer a Tool — It’s Becoming the Operating System of the Enterprise” 📚 “The First Career Ladder Disrupted by AI May Be the Middle” 📚 “The Real AI Bottleneck Isn’t Technology — It’s Organizational Design” 📚 “Digital Workers and Human Supervisors: The New Structure of the Firm” 📚 “Trust, Governance and Skills Will Decide Who Wins the AI Economy” See also - PPT deck: https://lnkd.in/gR4WQkGs #AI #FutureOfWork #ExecutiveStrategy #DigitalTransformation #AIGovernance #Leadership #OrganizationalDesign #CorporateStrategy #LearningAndDevelopment #Innovation

Will AI Replace Millions of Jobs — Or Just Rewrite the Job Market? - A study from Morgan Stanley!!! The AI narrative in 2026 feels extreme. On one side: - Elon Musk predicts work may become “optional.” - Sam Altman warns superintelligence could outperform executives. - Several AI leaders forecast sweeping white-collar automation within 1–5 years. Markets are reacting. Software multiples have pulled back nearly 33% since late 2025 amid automation fears. But then comes a more grounded view. 📊 Morgan Stanley’s message: History shows technology transforms work — it doesn’t eliminate labor entirely. From electrification to spreadsheets to the internet, innovation changed job types, not the need for human contribution. Their thesis? You won’t retire early because of AI. You’ll retrain for roles that don’t exist yet. Emerging roles they foresee: *Chief AI Officers *AI Governance & Compliance Leaders *AI Personalization Strategists *Predictive Maintenance Engineers *Computational Geneticists *Product Manager–Engineer hybrids (“vibe coding” era) The core idea: - AI will automate tasks. - It will augment professionals. - And it will create entirely new skill categories. However — respected economists like Daron Acemoglu and David Autor caution that AI may be different. If automation replaces cognition (not just labor), productivity gains could decouple profits from employment. So what should professionals and leaders do? ✔ Don’t panic. ✔ Don’t ignore it. ✔ Reskill aggressively. ✔ Build AI-augmented expertise, not AI-resistant careers. The real risk isn’t AI. It’s standing still. In global mobility, HR, finance, tech, healthcare — the question is no longer “Will AI impact us?” It’s “How do we redesign roles before the market forces us to?” The future likely belongs to those who collaborate with AI — not compete against it. #AI #FutureOfWork #Leadership #WorkforceTransformation #Reskilling #GlobalMobility #DigitalEconomy

85% of the jobs that will exist in 2030 haven’t been invented yet. Read that again. That’s not a motivational quote from a tech influencer. That’s from a Dell Technologies report backed by the Institute for the Future. And here’s what nobody is talking about: It’s not AI that will take your job. It’s someone who learned AI while you were debating whether to start. Right now, companies are quietly restructuring: • Goldman Sachs estimates 300 million jobs will be affected by AI globally • McKinsey says 30% of work hours could be automated by 2030 • Yet only 15% of professionals have any AI training at all That gap? That’s where your competitive advantage lives. The professionals who will thrive in the next 5 years aren’t the ones with the most degrees. They’re the ones who learn fastest. AI isn’t your replacement. It’s your upgrade if you choose to install it. What’s the ONE AI skill you’ve been meaning to learn but keep putting off? Drop it below: I’ll reply with a free resource to get you started. ♻️ Repost this if someone in your network needs this wake-up call. Follow me for daily insights on thriving in the AI economy. #ArtificialIntelligence #FutureOfWork #CareerGrowth #AIJobs #Leadership

Yesterday, I listened to a thoughtful panel hosted by The Digital Economist on the topic of Tackling Global AI Unemployment. Thank you to this all-star speaker line-up for sharing their diverse perspectives with the group: Dr Maha Hosain Aziz, Carla Maldonado, Ph.D., Leah Davina Junck, PhD, Fabian Stephany, Andreas Welsch, and Imen Ameur. What stood out was how much nuance exists beyond the typical “AI will eliminate jobs” narrative. A few takeaways that leaders should pay attention to: >> The biggest disruption may be at the bottom of the career ladder.
AI is increasingly capable of performing many of the tasks traditionally assigned to entry-level workers — research, summarization, coding cleanup, and basic analysis. If organizations eliminate these roles, they risk breaking the pipeline that develops future leaders. >> The real divide may not be exposure to AI, but readiness.
Countries and organizations with strong digital infrastructure, education systems, and workforce policies will turn AI into productivity gains. Those without them may fall further behind. >> AI automates tasks, not entire professions.
Most roles will evolve rather than disappear. The shift is toward human strengths — judgment, synthesis, creativity, and collaboration. >> Skills — not panic — should be the focus.
Several speakers emphasized that large-scale reskilling and AI literacy will be far more effective than reactive policies like universal basic income or “robot taxes.” >> Leaders are writing the story.
Whether AI leads to mass displacement or unprecedented productivity will depend largely on how organizations redesign jobs and invest in people. For me, the conversation reinforced something I’ve been thinking about deeply >>> we are entering a period where the traditional career ladder is being dismantled without a clear and cohesive plan to rebuild it. The challenge is not simply preparing people for new jobs, it’s helping individuals understand their skills, strengths, and purpose in a world where AI is part of the workforce. That’s a much bigger conversation about the future of work. Curious to hear from others: How is AI already changing the way your organization hires, trains, or develops early-career talent? #AI #FutureOfWork #WorkforceTransformation #Skills #22ndCenturyLeadership

We're facing a dual crisis: a significant economic slowdown coinciding with plummeting birth rates, leading to a shrinking workforce and a potential future of stagnation. This is where AI emerges not as a threat, but as a critical solution. Its ability to boost productivity can counteract a declining workforce and reignite global growth. The timing is, as one perspective suggests, miraculous. But what does this mean for your career? The focus on job loss is often misplaced. Historically, technology transforms tasks within jobs, forcing roles to evolve rather than disappear. In fields like product management, engineering, and design, AI empowers individuals to take on broader responsibilities, blurring traditional lines and requiring adaptability. The future demands a new skill set. #AI #FutureOfWork #EconomicGrowth #Productivity #CareerDevelopment #Innovation

Not long ago, leaders prioritized #hiring individuals with #AI expertise. Today, the narrative has shifted. As autonomous AI agents integrate into teams, it is evident that as technology advances, human #skills become increasingly vital. Across various industries, there is a rising demand for capabilities that machines cannot replicate - strong #relationships, #emotional #intelligence, #strategic #thinking, complex problem-solving, and #ethical #judgment. While AI can process data rapidly, it is people who provide it with meaning. At #ADNOC, this balance is already taking shape. AI serves as a tool for #business #optimization, handling repetitive tasks and allowing our workforce to concentrate on higher-value work, #developing #capabilities, enhancing #performance, and improving #customer #experience. In recruitment, for instance, AI boosts efficiency, enabling recruiters to focus on partnership, quality of hire, and supporting business leaders in retaining talent for sustainable growth. As #humans and #AI collaborate, the next step is clear. We require a framework that fosters genuine #collaboration, comprehensive #onboarding for #digital #teammates, managers adept at delegating tasks between human and AI capabilities, and leaders dedicated to upskilling talent while refining AI agents. Human Capital must also adapt, measuring not only corporate KPIs but also the impact of AI on the workforce. This evolution is not about people versus technology; it is about crafting a future where both can thrive together. What will your transformative Human Capital strategy entail?

“AI will replace everyone.” You’ve probably heard this prediction a lot lately. But here’s something interesting: Most employees and even managers don’t actually want AI to replace humans at work. A recent survey by Udacity found that only 9% of people would replace their entire workforce with AI tools. So why the hesitation? Because people believe humans still bring things AI can’t. Here are a few reasons: 1️⃣ Innovation still comes from humans 62% of respondents said AI can’t create the kinds of new products and ideas customers will want in the future. AI learns from past data. But breakthroughs often come from imagination and experimentation. 2️⃣ Customers prefer people Over half the respondents said their customers would rather deal with humans than machines. 3️⃣ Trust and privacy concerns 49% worry about security and data privacy when companies rely heavily on AI systems. 4️⃣ Culture can’t be automated AI can process information. But it can’t build team culture, mentor employees, or navigate complex human situations. And there’s another issue leaders are starting to notice… If companies replace entry-level roles with AI, they may break the pipeline that develops future leaders. Most organizations grow talent like a pyramid: Junior employees → Mid-level professionals → Senior leaders. Remove the bottom layer, and the whole structure weakens. Yes, AI will transform work. Some jobs will change. Some tasks will disappear. But the future of work likely isn’t AI vs humans. It’s AI + humans. The most valuable professionals in the next decade will be those who combine: • Human creativity • Critical thinking • Emotional intelligence • And strong AI skills Technology is powerful. But its real value comes when it amplifies human potential not replaces it. What’s your take? Do you think AI will replace most jobs, or just change how we work? #AI #Technology #jobs #people #innovation #dataprivacy

“AI will replace everyone.” You’ve probably heard this prediction a lot lately. But here’s something interesting: Most employees and even managers don’t actually want AI to replace humans at work. A recent survey by Udacity found that only 9% of people would replace their entire workforce with AI tools. So why the hesitation? Because people believe humans still bring things AI can’t. Here are a few reasons: 1️⃣ Innovation still comes from humans 62% of respondents said AI can’t create the kinds of new products and ideas customers will want in the future. AI learns from past data. But breakthroughs often come from imagination and experimentation. 2️⃣ Customers prefer people Over half the respondents said their customers would rather deal with humans than machines. 3️⃣ Trust and privacy concerns 49% worry about security and data privacy when companies rely heavily on AI systems. 4️⃣ Culture can’t be automated AI can process information. But it can’t build team culture, mentor employees, or navigate complex human situations. And there’s another issue leaders are starting to notice… If companies replace entry-level roles with AI, they may break the pipeline that develops future leaders. Most organizations grow talent like a pyramid: Junior employees → Mid-level professionals → Senior leaders. Remove the bottom layer, and the whole structure weakens. Yes, AI will transform work. Some jobs will change. Some tasks will disappear. But the future of work likely isn’t AI vs humans. It’s AI + humans. The most valuable professionals in the next decade will be those who combine: • Human creativity • Critical thinking • Emotional intelligence • And strong AI skills Technology is powerful. But its real value comes when it amplifies human potential not replaces it. What’s your take? Do you think AI will replace most jobs, or just change how we work? #AI #Technology #jobs #people #innovation #dataprivacy

🔥 If three of your AI experts were just recruited away by competitors... Would you be at risk? In the current market, AI talent retention can be difficult. WHY AI TALENT LEAVES: 💠 AI professionals want to work on cutting-edge problems, not maintenance 💠 Market rates for AI specialists (business & tech) rise faster than internal compensation 💠 Many external opportunities offer equity upside that established companies can't match 💠 AI community is tight. Offers come through quiet networks, not public job postings THE DEPARTURE COST: 💠 Months of recruitment to replace specialized expertise 💠 Months more for new hires to understand your data and systems 💠 Lost productivity from remaining team covering gaps 💠 Disruption to AI initiatives that depended on departed expertise Design you AI approach so knowledge isn't concentrated in single individuals - business or tech. Collaboration, documentation, and cross-training aren't optional, they're survival. Retention is cheaper than replacement. 👉 The market rate for AI talent isn't what you pay—it's what your competitors will pay. Know that number! Create growth paths that don't require leaving. AI professionals want to continually learn, solve hard problems, and mentor others. If your organization can't offer that progression, someone else will. I've seen AI initiatives collapse because two key people left within the same quarter. The remaining team couldn't fill the gap. Projects stalled. Value evaporated. ❗ Organizations that distribute AI knowledge, create compelling growth paths, and benchmark compensation aggressively will retain critical talent longer than those treating AI roles as standard positions. There is a lot of fear about AI job impacts. Don't let your key SMEs depart for perceived safer pastures. Or better AI value creation opportunities. You need expert humans + AI. Retain your SMEs and AI experts - at all cost. #Leadership #AI #FutureOfWork

AI will not cause a “jobs apocalypse.” But the transition will be messy. I remain optimistic about AI’s long-term impact on work. But optimism must be anchored in reality. Right now, the data tells a mixed story. Three cautionary signals: 1) The IMF estimates about 40% of global employment is exposed to AI, rising to roughly 60% in advanced economies. Exposure does not mean full automation, but it signals major structural change. 2) The World Economic Forum projects 92 million roles displaced by 2030 as tasks across industries are restructured. 3) OECD research suggests roughly 27% of jobs face high exposure to AI-driven change. Three positive signals: 1) The World Economic Forum projects 170 million new jobs created by 2030, resulting in a net gain in employment. 2) LinkedIn labor-market data shows rapid growth in AI hiring, including roles such as AI engineers, machine-learning specialists, and data scientists. 3) Entirely new categories of work are emerging as organizations integrate AI into products, operations, and decision-making. So the future is not simply a story of jobs lost or jobs gained. It is a story of jobs changing. The real question for leaders is not whether AI will affect work. The real question is whether we are preparing people fast enough — with the skills, governance, and real-world experience needed to move into the roles being created. I remain optimistic. But optimism only pays off if we prepare people for the transition. #AI #AIJobs #AICERTs