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#1
Sustainability careers for the next generation | Capgemini
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technology22h ago

Sustainability careers for the next generation | Capgemini

  • Capgemini's GDSC 2025 hackathon used agentic AI and LLMs to guide Brazilian youth toward green careers.
  • The project builds a knowledge graph so the LLM can search and tailor career options to each person.
  • Capgemini collaborated with AWS and Mistral AI to support UNICEF’s Generation Unlimited Green Rising initiative.
  • The effort aims to help 100 million youths lead in climate solutions by 2030 under UNICEF's Green Rising.
  • Capgemini’s team used data science to identify transferable skills between industries for sustainability roles.
  • UNICEF invited the winning GDSC team to the UN City Copenhagen to collaborate on SDG efforts.
  • The project emphasizes making sustainability a career path rather than an add-on to existing jobs.
  • The initiative combines real-world impact with AI to improve career guidance for sustainability.
  • Capgemini’s Global Data Science Challenge has grown into a long-running, purpose-driven hackathon.
  • Capgemini highlights the project as a model for applying AI to real-world environmental and social challenges.
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#2
The AI hype era might be over, now, companies want real returns
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The AI hype era might be over, now, companies want real returns

  • Capgemini reports 60% of firms have started exploring agentic AI use cases for greater autonomy.
  • China leads with nearly half of firms piloting or deploying AI agents, followed by the US and Europe.
  • Only 41% of CEOs, CFOs, and COOs have above-average trust in AI for decisions.
  • AI spend is expected to rise to 5% of annual budgets in 2026, driven by infrastructure, data foundations, governance, and upskilling.
  • Capgemini notes a pragmatic era of AI transformation focused on revenue, risk, and decision-making.
  • Executives expect AI-driven decisions to require human oversight despite rising automation.
  • Capgemini cites regulatory and security concerns as ongoing barriers to AI adoption.
  • By 2026, investments will also target workforce upskilling and governance.
  • Generative AI adoption remains steady at 38% of firms.
  • The study links AI adoption to broader business outcomes beyond cost savings.
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