White-Collar Jobs at Risk: AI's Impact on Cities

6,000 corporate executives just admitted AI has done nothing for their productivity. A National Bureau of Economic Research study found that 89% of senior managers saw no change in productivity over the past 3 years. 90%+ reported no impact on employment. But here's what the macroeconomic data actually shows. While executives were filling out those surveys, the Bureau of Labor Statistics quietly revised its 2025 job counts — removing roughly 400,000 positions while GDP growth held steady. Independent economists now estimate productivity growth hit 2.7% last year. That's nearly double the decade average. The gap between what leaders perceive and what's actually happening is the story. It's the same pattern we saw with electricity in the 1890s and computers in the 1980s. Robert Solow famously noted that the productivity gains from computers took 30 years to materialize in the statistics. With AI, the cycle appears to be compressing dramatically. Software teams are reporting 4-5x velocity gains on specific tasks. AI agent capabilities are doubling in scope roughly every 7 months. The executives aren't lying. They genuinely can't see it yet — because productivity transformations happen at the edges first, then all at once. The question isn't whether AI will change your business. It's whether your team is at the edge or waiting for the memo. What's your honest read — are you seeing real productivity gains from AI tools, or does it still feel like hype? #ArtificialIntelligence #AIAgents #Productivity #FutureOfWork #Startups #Technology #BusinessStrategy

What makes this moment different from previous tech revolutions? White collar workers are experiencing the AI revolution as a steady chipping away from high-value, knowledge-based work. Anthropic confirmed this shift on Friday by releasing a new report on how AI is impacting the labor market (https://lnkd.in/e99v32C2) The company outlined a measure of AI displacement risk called "observed exposure" that outlines what AI could automate and how it’s being used right now. The pressure is just starting for some occupations and is heating up across industries. Anthropic reported: The most exposed workers are more likely to be female, white or Asian, and significantly more educated. Workers with graduate degrees are nearly four times more likely to be in the most exposed group than the unexposed. We’re not seeing mass unemployment yet. But new job starts for college grads are declining in high-exposure fields like software development and financial analysis. CEOs and boards don’t need to just be worried about managing headcount. We also need to be concerned about possibly losing a generation of talent and the chance to build the expertise needed a decade from now. The most competitive and resilient organizations won’t use AI to just replace junior staff or fire experienced employees. They’ll use it to redesign roles and ways of working to accelerate innovation. The key is to build the infrastructure that allows people to grow alongside the tools and empower them to push organizations even further. In light of AI exposure, how is your leadership team addressing the talent pipeline?

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

Artificial intelligence is rapidly reshaping the workplace, creating both new opportunities and real concerns for workers and organizations. A recent article from the IMF highlights several important trends:  • 𝗡𝗲𝗮𝗿𝗹𝘆 𝟰𝟬% 𝗼𝗳 𝗴𝗹𝗼𝗯𝗮𝗹 𝗷𝗼𝗯𝘀 𝗮𝗿𝗲 𝗲𝘅𝗽𝗼𝘀𝗲𝗱 𝘁𝗼 𝗔𝗜-𝗱𝗿𝗶𝘃𝗲𝗻 𝗰𝗵𝗮𝗻𝗴𝗲. While many roles will evolve rather than disappear, the impact across industries will be significant.  • 𝗡𝗲𝘄 𝘀𝗸𝗶𝗹𝗹𝘀 𝗮𝗿𝗲 𝗯𝗲𝗰𝗼𝗺𝗶𝗻𝗴 𝗲𝘀𝘀𝗲𝗻𝘁𝗶𝗮𝗹. Around 1 in 10 job postings in advanced economies now require at least one new skill that was not previously expected.  • 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗶𝗻𝗴 𝗲𝗺𝗲𝗿𝗴𝗶𝗻𝗴 𝘀𝗸𝗶𝗹𝗹𝘀 𝗰𝗮𝗻 𝗶𝗻𝗰𝗿𝗲𝗮𝘀𝗲 𝗼𝗽𝗽𝗼𝗿𝘁𝘂𝗻𝗶𝘁𝗶𝗲𝘀. Roles requiring new capabilities often offer 3–15% higher wages.  • 𝗠𝗶𝗱𝗱𝗹𝗲-𝘀𝗸𝗶𝗹𝗹 𝗿𝗼𝗹𝗲𝘀 𝗮𝗿𝗲 𝘂𝗻𝗱𝗲𝗿 𝘁𝗵𝗲 𝗴𝗿𝗲𝗮𝘁𝗲𝘀𝘁 𝗽𝗿𝗲𝘀𝘀𝘂𝗿𝗲, particularly routine office jobs that are easier to automate.  • 𝗘𝗻𝘁𝗿𝘆-𝗹𝗲𝘃𝗲𝗹 𝗿𝗼𝗹𝗲𝘀 𝗮𝗿𝗲 𝗮𝗹𝘀𝗼 𝗲𝘃𝗼𝗹𝘃𝗶𝗻𝗴, as AI begins to take on tasks traditionally handled by early-career professionals. What is becoming clear is that the future of work will depend not only on technological progress, but on how effectively organizations, institutions, and leaders support people in adapting to change. Access to reskilling, lifelong learning, and mobility will be critical to ensuring that innovation creates opportunity for more people. Preparing today’s workforce for tomorrow’s skills will be one of the defining challenges and opportunities of the AI era. Read the full article here: https://lnkd.in/eCm82wDb #FutureOfWork #ArtificialIntelligence #Reskilling #Upskilling #Leadership #WorkforceTransformation #LifelongLearning

Will your 2030 workforce be AI-ready - or left behind? - Redesign work, not just jobs: map high-volume tasks, decide where AI augments people, and define the new skill mix your roles will need. - Build a stronger digital core: clean, well-governed data, connected systems, secure cloud access, and modern tools on every desk. - Make responsible AI non-negotiable: clear policies for risk, privacy, IP, and safety, with humans in the loop and traceable decisions. - Upskill at scale to raise digital confidence: practical, role-based learning for executives and frontline teams, measured by outcomes. - Prioritise value: a focused portfolio of AI use cases with owners, budgets, and clear metrics - pilot fast, scale what works, stop what doesn’t. By Q3, run a 90-day readiness diagnostic across data, technology, talent, and risk, and publish a simple roadmap. Ring-fence 1–2% of payroll for continuous upskilling and appoint accountable business leaders for top AI use cases. Start small, learn fast, and make 2030 an advantage - not a deadline. #LondonGulfNexus #AILeadership #DigitalTransformation #FutureOfWork #GenerativeAI

As AI continues to replace and reshape jobs, the real risk isn’t just job displacement. It’s isolation. When roles change or disappear, many professionals internalize it: “I should have seen this coming.” “I should adapt faster.” “I should figure this out alone.” But reinvention was never meant to be a solo act. AI disruption without community support increases anxiety, depression, and disengagement. Humans regulate through connection. Which means as automation increases, our need for community increases too. If we want to navigate AI job replacement and workforce transformation well, we need more than reskilling programs. We need: • Stronger local professional networks • Peer groups for career transitions • Mentorship ecosystems across industries • Spaces where reinvention is shared, not hidden • HR and People Ops leaders trained to support the emotional side of change The future of work isn’t just about technology adoption. It’s about whether we build cultures where people feel supported while adapting. Because when disruption happens in isolation, people spiral. When disruption happens in a community, people evolve. If you’re in HR, leadership, or navigating a career transition in the age of AI, this is the moment to prioritize connection over independence. The future of work will belong to organizations that understand this. Follow me, Amy Gleaves, for more around retention with internal workforces as well as external support for those navigating a large life transition.

The AI career ladder isn't disappearing at the bottom — it's collapsing in the middle — the World Economic Forum just released a rare insider's view of AI at work built on the lived experiences of 20+ leading tech firms across three regions, not speculation or surveys. The finding that should keep every business leader awake: 95% of GenAI implementations fail to deliver positive ROI - not because the technology is flawed, but because organizations are deploying it wrong (?) Key takeaways to reflect and learn upon 🔹 Mid-career professionals — not junior staff — face the greatest structural risk, as AI eliminates the coordination and supervision roles that once defined the middle of organizational hierarchies. 🔹 Stanford's ADP Research Institute -powered research confirms a 13% employment decline for workers aged 22–25 in AI-exposed occupations. 🔹 Governance is not a brake on AI adoption — it is the prerequisite for it; without accountability frameworks built before deployment, even the most capable AI tools become organizational liabilities that no one owns. 💡 If "higher-value work" is the promised destination for every worker displaced by AI, but no organization can yet define what that work actually is — are we building a Productivity Revolution or an Accountability Vacuum? 📌 The WEF report calls this the most Urgent Unanswered question at a time when exceptionally transformative non-biological intelligence is being implemented in society worldwide. 🔸 Read the full report for more intel. 🔸 Check comments for further reads. 🔸 Build responsible human-centerd #AI. ♻️ Repost this to help others learn faster. #leadership #business #technology #innovation Our World is changing rapidly. Advanced technologies are being scaled up worldwide. Businesses and societies need to transform. I care about making a difference for people and society. Follow and Connect. Håkan Apell > Apell International Business Consulting & Advisory

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

5 𝐓𝐎𝐏 𝐒𝐓𝐎𝐑𝐈𝐄𝐒 𝐎𝐍 𝐓𝐇𝐄 𝐅𝐔𝐓𝐔𝐑𝐄 𝐎𝐅 𝐖𝐎𝐑𝐊: 𝐖𝐞𝐞𝐤 𝐨𝐟 𝐌𝐚𝐫𝐜𝐡 27   1) THE RISE OF THE SUPERWORKER: My friend Josh Bersin says AI isn't going to replace workers, it's going to make them way more valuable. And "supercompanies" are 6x more productive. (Source: Josh Bersin)   2) EVERY CEO IS A WARTIME CEO: Forget VUCA. We've entered BANI: Brittle, Anxious, Non-linear, Incomprehensible. Speed isn't strategy. It's survival. (Source: Fortune)   3) WHAT 81,000 PEOPLE FEAR ABOUT AI: Anthropic surveyed 81,000 users. From job loss to cognitive atrophy. (Source: Anthropic)   4) THESE JOBS GET IMPACTED FIRST: Management, finance, and tech roles face nearly 90% AI coverage. Construction and agriculture? Barely touched. (Source: Anthropic)   5) THE GREAT DEMOTION: 40% of workers who changed jobs late last year took a 10%+ pay cut. Low unemployment is masking a quiet repricing of roles. (Source: Business Insider)   I break all five down in this 10-minute video. Watch below. _______________ 👉 Follow Kevin Kruse, and click the bell, to never miss an episode of The Future of Work Show 👉 DM me to discuss ways we can turn your managers into Future-Ready Leaders (keynotes, workshops, tools) #HR #HRTech #SHRM #Futureofwork

The numbers don’t lie , AI is already reshaping the workforce in 2026. 37% of companies plan to replace workers with AI by year-end. 200,000 Wall Street jobs are on the chopping block. 80% of paralegal and customer service roles face automation. The question isn’t “will AI affect my job?” it’s “am I prepared for when it does?” The workers who thrive won’t be the ones who fear AI. They’ll be the ones who learn to work alongside it. I also asked AI, What about General Manager Jobs, will those be replaced too in the future and here is what it said …. “The traditional GM who spends most of their time on reporting, scheduling, and routine decisions — is at risk. But the modern GM who focuses on leadership, culture, vision, and human relationships — becomes more valuable, not less. AI will make bad managers obsolete. It will make great managers unstoppable. The key is evolving from a manager of tasks to a leader of people and strategy.“ Are you upskilling, or waiting to be replaced? #AIJobs #FutureOfWork #ArtificialIntelligence #CareerDevelopment #WorkplaceInnovation #AI2026 #Automotive #AutomotiveIndustry