It’s one of the world’s most iconic consumer goods companies, founded when America was still in the midst of the Industrial Revolution. Now, more than a century later, it’s on the frontlines of another massive transformation in the way we work thanks to the rise of artificial intelligence.

On this episode of Where AI Works, host Christian Terwiesch is joined by Alfredo Colas, the Chief Data and AI Officer at Procter & Gamble, to explore how the 188 year old company is reinventing itself yet again. With nearly three decades at P&G, Alfredo shares his unique perspective on embedding AI into innovation, from product ideation to smarter supply chains, while keeping humans firmly in the loop. You’ll hear how the company leverages AI to supercharge creativity — turning individual ideas into high-performing concepts — and how AI helps democratize knowledge, making decades of consumer insights instantly accessible to employees across the company. Their conversation also highlights the importance of human judgment in final decision-making, the evolving nature of work, and how AI can eliminate routine tasks to let employees focus on higher-value, creative problem solving.

Episode Highlights:

6:13 - Alfredo shares how AI is being used to enhance rather than replace P&G’s “secret formula” for gaining consumer insights about its products.

10:20 - Alfredo explains how P&G is leveraging AI to boost personal employee productivity, improve quality, and democratize knowledge.

18:23 - Alfredo discusses which aspects of work he foresees changing the most as a result of AI implementation.

It’s an industry facing a wide variety of challenges; soaring costs, timely care, and employee burnout. But there’s growing evidence that AI can help make the healthcare sector safer, faster, and more human, all at once.

On this premiere episode of season four of Where AI Works, host Christian Terwiesch sits down with Lara Liss, the Chief Privacy and Data Trust Officer at GE HealthCare, to explore how AI is transforming healthcare delivery from the inside out. From smarter imaging and diagnostics to predictive tools that help entire hospital systems run more efficiently, AI’s potential to relieve pressure on the industry is enormous. But as Lara explains, with that power also comes responsibility to embed ethical AI principles at every stage of product development — ensuring transparency, safety, and clinical oversight. She also discusses what it takes to build trust in AI and why it’s critical to keep human practitioners in the loop to ensure patient care remains grounded in expertise and not just algorithms.

Episode Highlights:

6:06 - Lara lays out how AI has the potential to address many of the challenges currently facing the healthcare sector.

8:04 - Lara shares the first step all companies should take if they’re just getting started with AI implementation.

14:03 - Lara explains how GE Healthcare is using AI to augment the abilities of medical professionals rather than replace them.

This week, we’re doing something different. Instead of our usual episodes, we’re sharing a special conversation featuring “Where AI Works” season 3 host Peter Cappelli on the podcast “Using AI at Work.” It’s a timely, unfiltered look at how companies are actually trying, and often failing, to implement AI.

In this interview, Peter brings his decades of research at Wharton to dismantle the biggest myths leaders believe about AI adoption:

• Why boards are obsessed with headcount reductions, and why that’s the wrong metric
• The real reasons only ~5% of companies are meaningfully implementing AI
• What executives get wrong when they chase “off-the-shelf” AI solutions
• How job redesign, not job elimination, is where the true productivity gains come from
• The surprising truth about employee cooperation: guaranteeing jobs may actually speed up AI progress

He also breaks down two real-world case studies, including Ricoh’s attempt to automate insurance paperwork and a manufacturing company’s AI-driven quality control system, revealing what actually works, what doesn’t, and why AI projects fail long before the technology does.

If you’re a leader trying to separate hype from reality, or if you want to understand how AI reshapes work without erasing workers, this conversation is essential listening.