Poland's shared service centers are moving to India. Again. Sound familiar? I was here in 2011 when the opposite happened. Working in org dev taught me about adaptation. 𝟮𝟬𝟬𝟴: TMI. Watching consultancies guide "digital transformation." Everyone panicked about SAP. 𝟮𝟬𝟭𝟬: DHL India. APAC's digitalization wave. Shared Service Centers were the future. 𝟮𝟬𝟭𝟭: Poland. Western Europe consolidated here. 𝘒𝘳𝘢𝘬𝘰́𝘸 𝘣𝘦𝘤𝘢𝘮𝘦 𝘌𝘶𝘳𝘰𝘱𝘦'𝘴 𝘣𝘢𝘤𝘬 𝘰𝘧𝘧𝘪𝘤𝘦. 𝗧𝗵𝗲𝗻: Sales. Built my company. Now we're MAN Digital. Teaching companies AI adoption while watching history repeat. 𝟮𝟬𝟮𝟱 𝗥𝗘𝗔𝗟𝗜𝗧𝗬 𝗖𝗛𝗘𝗖𝗞: • Heineken: 700 finance jobs → India • Shell: Restructuring 5,000+ globally • ABB: 400 jobs cut • Intel: Hundreds leaving Gdańsk • Levi Strauss: Factory closed in Płock • Stellantis: 500 gone • Michelin: Plant closed in Olsztyn But here's what's different. It's not about cost anymore. It's about capability and economy. Here to talk about capability. (𝘯𝘰𝘵 𝘢𝘯 𝘦𝘹𝘱𝘦𝘳𝘵 𝘪𝘯 𝘵𝘩𝘦 𝘦𝘤𝘰𝘯𝘰𝘮𝘺) TOOLS TRANSFORMING BACK-OFFICE: • Claude for Excel • Claude for Finance • UiPath Agentic AI • Copilot everywhere • Perplexity for research • AI for coding 77% org investing in agentic AI. 90% say processes would improve. Only 5% seeing ROI. Why? They're waiting for permission. You shouldn't. Remember the 70-20-10 learning model? 10% - Formal training gives foundation. 20% - Coaching and mentoring guide you. 70% - Real learning happens on the job. Apply it to AI: Take a course on prompting (10%). Find someone using AI successfully (20%). But mostly: Start using it. Today. Break things. Learn. (70%) Poland survived 2008 through skills. Not by being cheaper. (maybe a bit cheaper...) By being better. That playbook still works. But years compressed to months. McKinsey: 68% of skills change by 2030. Reality: Try 2027. At MAN Digital, we implement AI now. Not planning. Not strategizing. Implementing. While others debate AI's reality. Master it. While companies "develop strategies." Ship with it. While fear spreads. Become irreplaceable. Stop waiting for company plans. Stop hoping this passes. Start now. The future isn't AI replacing humans. It's humans with AI replacing humans without. In transformation, only two types exist: Those who adapt. Those who become statistics.
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This week’s Playbook highlights a clear shift — AI isn’t just transforming industries, it’s redefining power centers, talent priorities, and even what we consider “real work.” The message is simple: the new economy rewards those who move first, learn fast, and build intelligently — before the change arrives at their doorstep.
Entrepreneur | Investor | Founder & CEO @ Market Quotient & Expert360.ai | Management Consultant- AI | Marketing Strategy | Data Services | Digital Innovation
🚀 Playbook Kickoff – Oct 27, 2025 AI, outsourcing, and the future of work are accelerating faster than ever — and this week proves it. Here’s what’s shaping the next decade of global talent and technology: 👉 Australia builds a $30M “AI Factory” to create its own sovereign AI 👉 model, Matilda. 👉 Sam Altman calls out “fake jobs” — predicting AI will wipe out work that isn’t truly value-creating. 👉 Capita unveils an AI-powered BPO brain, shifting outsourcing from labor to intelligent automation. 👉 Gen Z is moving to skilled trades, seeking AI-proof work over corporate desk jobs. 👉 Allinial Global bets on India as the front line of global finance talent — not the back office. 👉 Google drops 3,000 free AI courses, making AI education available to anyone, at scale. If there’s a theme this week — it’s this: everyone’s not just adapting to AI, they’re building with it. The definition of work, talent, and competitiveness is being rewritten in real time. 👉 Read the full Playbook for deeper insight and strategic takeaways. https://lnkd.in/gUE5bJer
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AI really is reshaping the future of work, and it's great to see organisational design at the heart of it! I've just read Resilient by Design: How Agentic AI is Reinventing Organizations and… wow. Some of the most insightful research I’ve seen on how AI will transform operating models, leadership, and culture. What stood out most? - The shift from traditional hierarchies to agentic teams - Embedded governance through AI agents - Culture as the compass for human-AI collaboration As someone passionate about people, purpose, and transformation, this really resonated. If you're exploring how to future-proof your organisation, this is a must-read. Check out the article here - https://lnkd.in/eGeuthDg #OrganisationalDesign #Transformation #CultureMatters #PeopleStrategy
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GCCs + AI in India: From Back Office to Build Office India’s GCCs are shifting from cost centers to AI-first build hubs. Two moves stand out: Partnering with academia to create industry-ready pipelines (BlackBerry QNX, WPP GDC, enGen integrating tech into curricula). Prioritising AI at leadership level — about 50% of GCC leaders plan to make AI a core function over the next three years. Why it matters: GCCs sit on enterprise data, processes, and global workflows — a perfect test bed for GenAI pilots that can scale across the parent organisation. Meanwhile, a new operating model is emerging: GCCs x IT-services collaboration — with global firms (JPMorgan, Fidelity, Barclays, Lowe’s, Lufthansa, McDonald’s, Cargill) expanding India delivery, even as IT vets are tapped to run GCCs. Think co-creation of platforms, not just projects. Playbook for 2026 GCCs Stand up AI guilds/CoEs; measure productivity, quality, and risk reduction. Co-design curriculum tracks with universities (LLM apps, MLOps, data governance). Move from pilots → products: adopt a product ops cadence (roadmaps, SLAs, audit trails). Partner with IT services on scaling & change mgmt vs. duplicating stacks. Bottom line: India’s GCCs aren’t just executing tasks anymore. They’re designing AI-powered outcomes — and pulling the ecosystem (universities, IT partners, policy) with them. Sources: (Economic Times) GCCs partner with academia; talent pipelines & AI upskilling. (Economic Times) ~50% of GCC leaders to prioritise AI; Deloitte view on “test beds.” (Business Standard) GCCs x IT services: collaboration amid global headwinds; expansions by global firms. (Deloitte Insight) How GCCs can accelerate GenAI adoption. (Financial Express) AI pushes GCCs beyond back-office roles (commentary). #GCC #IndiaTech #AI #GenAI #FutureOfWork #SkillDevelopment #AcademiaIndustry #DigitalTransformation #ProductOps #SURYAGM
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The AI revolution is reshaping workforce dynamics globally. Recently, Accenture laid off over 11,000 employees who couldn't be retrained to meet AI-driven skill needs. They are “exiting” roles that don’t align with future AI capabilities while simultaneously doubling down on AI talent—training over 550,000 employees in generative AI. This signals a clear message: adapting to AI is not optional, but essential. For supply chain and logistics leaders, this means investing in the upskilling of your teams to leverage AI for automation, quality control, and real-time decision-making. It’s about future-proofing operations and staying competitive. How is your organization approaching AI integration and workforce transformation? Share your strategies and experiences in the comments! #SupplyChain #Logistics #Innovation #AI #QualityControl #nextgenSCM
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Global business services isn’t just about efficiency anymore—it’s a platform for growth. The next frontier? Orchestrating workflows at scale with AI built in from the start. 👉👉 Read on to learn how forward-looking leaders are streamlining work, scaling globally, and delivering real business impact. http://spr.ly/6047A7yTb
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Accenture just laid off 11,000 employees to "make room for AI." Let that sink in. They're now scrambling to train their remaining workforce on AI platforms—admitting they don't have the expertise internally. Yet they've already billed $2.6 billion in AI consulting over 6 months. 🤢 So they sold the expertise first. Built it second. Classic. This is exactly why companies come into consultant conversations with skepticism. They've been burned by firms that: - Pivot overnight to whatever's trending - Fire thousands while charging millions for "transformation" - Train their teams AFTER signing the contracts Their CEO literally said "reskilling is not a viable path" for the employees they're cutting. But somehow they're the experts who'll re-skill YOUR organization. Nice. Meanwhile, independent consultants who've been actually building AI workflows, implementing automation, and delivering measurable time savings are told "we're looking at larger firms for this." Here's the truth: When Accenture says "AI implementation," they mean PowerPoints about AI. When they say "transformation," they mean replacing 11,000 humans who knew your industry with juniors googling prompt engineering. The consultants winning in 2026 aren't the ones with $865 million restructuring budgets. They're the ones who: → Already have the expertise (not scrambling to train) → Actually build in your tools (not just recommend) → Quantify results in hours saved (not headcount eliminated) → Deliver outcomes today (not promises for tomorrow) I always tell aspiring consultants: "Your competition isn't other freelancers. It's management consulting firms like Accenture." While they're laying off people to *start* making way for AI, we're here—ready to plug in, deliver, and actually solve your problems. Here's to the Indie Consultants 👷 https://lnkd.in/e4wX6jgU
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🤔 How is your organization preparing for a future where AI complements human skills rather than replaces them? 💭 My Thoughts: Embracing AI as a partner rather than a threat is crucial for organizations aiming to thrive. By focusing on collaboration between humans and AI, we can unlock new opportunities for growth and innovation. 📌 Key Insights related to SAP's AI in HR Strategy: • 42% of employees believe AI can handle tasks they're currently doing. • Skills are now the new supply chain, crucial for navigating the digital age. • Organizations investing in AI have seen up to a fourfold increase in productivity. • A culture fostering growth and resilience is essential for leveraging AI effectively. 🔗 Read the full article: https://lnkd.in/eM9NZVmi #HumanAI #WorkplaceInnovation #Leadership #FutureOfWork
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Nick Parmar: How to Run Executive Workshops That Accelerate AI Adoption pMost companies are still trying to bridge the gap between AI buzz and measurable business outcomes. The issue rarely lies in the technology or the budget. It’s almost always in the execution. Nick Parmar has built his career on turning innovation into real impact. He has led go-to-market and partnership strategies with global hyperscalers and driven …/p
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Nick Parmar: How to Run Executive Workshops That Accelerate AI Adoption pMost companies are still trying to bridge the gap between AI buzz and measurable business outcomes. The issue rarely lies in the technology or the budget. It’s almost always in the execution. Nick Parmar has built his career on turning innovation into real impact. He has led go-to-market and partnership strategies with global hyperscalers and driven …/p
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Powerful reminder that AI isn’t a tool to bolt on — it’s a catalyst to rethink the very DNA of how we operate. The real competitive edge will belong to those who question every assumption about work and rebuild from the ground up.
Board Director | Former Fortune 500 CHRO | Advisor on Transformation, M&A and Governance | Champion for Skilled Trades | Dedicated to Advancing Great HR
AI - A Wake-Up Call for Reinvention Most companies are asking the wrong question: “Where can we use AI?” The real question is: “How should we work differently because of AI?” “Companies must shift their mindset from simply applying AI to fundamentally reimagining how work gets done.” - -Julie Sweet, CEO Accenture Here are 5 mindset-shifting nuggets to help leaders and teams embrace AI as a reinvention engine: 1. Start with the work, not the tech. Reimagine workflows with AI at the core—not as an add-on. 2. Upskill at scale. Accenture reskilled 550,000 employees on generative AI fundamentals. 3. Break silos. AI thrives on integrated data and cross-functional collaboration. 4. Redefine success metrics. Focus on adaptability, innovation velocity, and AI-driven outcomes. 5. Lead with transparency and purpose. Julie Sweet announced Accenture’s largest restructure via video—not memo—to convey the why behind the change. 🔄 We’ve done this before. When Ford began its transformation from a traditional automaker to a mobility company (starting in 2017 and accelerating through 2024), it wasn’t just about adding tech—it was a mindset shift. Ford redefined its purpose: not just to build cars, but to solve transportation. That meant retraining teams, restructuring divisions, and embracing electrification, autonomy, and connectivity. It’s a powerful example of how legacy organizations can reinvent themselves when the mindset shifts first. Let’s stop asking how to use AI—and start asking how to work with it. #AI #Leadership #DigitalTransformation #JulieSweet #MindsetShift #FutureOfWork #Ford #GenerativeAI #Reinvention https://lnkd.in/gJavJNXS
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