Join the next Social Change Career Podcast Livestream
Note we had to change the originally scheduled date to some Internet Connection Challenges
As artificial intelligence reshapes labour markets, skill requirements, and access to opportunity, professionals across sectors are being pushed to reconsider what sustainable careers really look like.
This episode explores how careers are evolving in an AI-influenced world through the lenses of workforce access, policy, equity, and long-term employability. David Timis brings insight shaped by his work in global skilling systems, public affairs, and technology-driven transformation, offering a grounded view of how institutions and individuals can respond to rapid change without deepening inequality.
December 16
8 AM EST
Live onLinkedIn & YouTube
Can’t attend live? The episode will be available shortly after, along with 200+ past conversations on impact careers and social change available at PCDN Listen or on any major podcasting platform.
David Timis is a Global Communications & Public Affairs Manager at Generation, one of the largest skilling and employment nonprofits in the world, where he oversees the organisation's storytelling globally and advocacy work at a EU level. He speaks regularly about AI and the risks and opportunities it presents for people, businesses and society.
He is also the Community Champion for the BeNeLux & France region and Co-Lead for the 2025 edition of SHAPE Europe & Eurasia, and Longevity Economy Taskforce Member within the Global Shapers Community (a young leaders initiative of the World Economic Forum).
He previously led the EU Civics Outreach efforts at Google during both the 2019 and 2024 EU Elections, and before that he was a UN Youth Delegate representing Romania. His career spans a range of public, private and third sector organisations including L'Oreal, Mars Inc., Burson (formerly known as BCW), Chatham House, and the Council of Europe.
With a career at the crossroads of technology, workforce development, and policy, David has been deeply involved in shaping conversations on skilling, education, AI governance, and digital transformation. His work spans from advising companies on their AI strategy to navigating the complexities of AI training for some of the world’s most influential brands.
Whether discussing the ethical implications of machine learning, the future of work in an AI-driven economy, or the regulatory challenges facing big tech companies, David brings a unique perspective grounded in both leading research and real-world implementation.