If #AI agents take on all our rote tasks, what skills will become valuable in the workplace of the near future? This was a question posed by BCG’s AI conversational agent GENE to BCG's talent and organization expert Julie Bedard, on a recent episode of the Imagine This... Julie mentioned "resourcefulness, grit, systems thinking, and higher level problem-solving, all of those skills that actually are typically more conceptual." Additionally, individual employees should develop the skills normally associated with managers so that they can oversee and orchestrate. Check out the full episode: https://on.bcg.com/3LGgopZ

Françoise PIOLA 🌿

Project manager & deployment leader for Knowkedge Bot at Schneider Electric

3d

On se posait justement la question pour les jeunes. Comment quoi les conseiller ? Alexis Bouilliez

Kiran Krishna ACMA, CGMA, MBA, MCom

Finance Director | Head of Finance | Strategic Finance Leader (UAE/MENA) | 16+Yrs Regional Leadership | FP&A, Budgeting & Forecasting | Treasury & Cash Flow | IFRS, Tax, VAT | ERP & Digital Transformation | Big 4 Audit

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AI will master tasks, but humans must master perspective. The real value ahead lies in judgment, systems thinking, and the ability to guide intelligence—not just use it.

NAMBURU NARASIMHA RAO

Global Economy & Business Strategist | AI & Digital Transformation Leader | Talent Architect for Advanced Tech | Entrepreneur & Mentor | 25+ Years Driving Growth, Innovation & Future-Ready Leadership

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The Human Edge in an Autonomous Future As AI agents take over routine work, the centre of value creation shifts to distinctly human strengths. Resourcefulness, grit and systems thinking become the new engines of progress, enabling people to solve problems that require judgment, context and imagination far beyond algorithmic reach. Julie Bedard’s call for every employee to think like a manager captures the moment. The future belongs to those who can orchestrate intelligent systems, elevate decision making and turn AI into a force multiplier for human potential.

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It's comparatively so much easier now to write scraping scripts.

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Pavan Kumar Reddy Gangasani

Intelligence Analyst | BI • SQL • Python | Shaping Insights Around How People Think, Decide, and Take Action

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If AI handles the routine work, humans must bring what AI can’t. • AI learns from past data — so when something truly new happens, it struggles. • We just saw this in the audit case where AI-generated numbers went wrong. • That’s why human judgment still matters. • Clear thinking, creativity, context, and common sense stay irreplaceable. • AI speeds up tasks, but humans decide what’s right and what actually matters. The real power now is thinking beyond data.

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Sandeep Srinivasan

🚀 AI-First Strategic Partnerships Leader | Driving GCC-as-a-Service Growth | Orchestrating Ecosystems for AI-Native Innovation

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💡What separates world class AI-first GCCs from good ones? Good GCCs adopt AI or run AI pilots. ⚙ Their boardrooms ask, ▪︎What AI tools can we adopt to stay relevant? ▪︎How much productivity we can gain or costs we can save? 🌟 But world class GCCs prioritize AI-first transformation — blending market-agile R&D breakthroughs, human-AI synergy and AI-native co-creation to reimagine business models, and reinvent products and experiences to stay ahead of the curve. ♟And their leaders ask, ▪︎Are we evolving from AI pilots to trusted, scalable outcomes —  architecting a globally connected, agentic enterprise — embedding AI autonomy to integrate global value chains? ▪︎How to ensure AI unlocks the true potential of human talent — instead of a strategy for replacing people? 1️⃣ Mindset shift from automation centers to AI R&D pods excelling in AI-native co-creation, and "innovation-as-a-Service". 2️⃣ Talent strategy — from hiring top notch technical skills for the current year to synergistically building hybrid human—AI teams for the next decade. 3️⃣ From AI tools and rigid data governance frameworks to secure agentified ecosystems and high-trust culture. In short, Good GCCs "automate" World class AI-first GCCs "agentify".

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