AI at Work
Podcast Description
What does AI really mean for the modern workplace, and are we ready for what comes next?AI at Work is a podcast from the Tech Talks Network, the home of conversations that showcase the voices at the heart of enterprise technology. You may know me from Tech Talks Daily, where we explore a different area of innovation in every episode. This show takes a focused look at one of the biggest shifts in business: how artificial intelligence is transforming the way we work.Each episode brings insights from business and technology leaders who are already using AI to increase productivity, improve decision-making, and rethink the role of people inside the enterprise. We look at real-world use cases, explore the return on investment of AI tools, and confront some of the hard questions around implementation, governance, ethics, and the evolving relationship between humans and machines.From intelligent automation to agentic AI, and from the promise of workplace efficiency to the risks of unintended consequences, we aim to offer a grounded and accessible view of how AI is shaping the future of work.If you’re using AI in your business or thinking about how to get started, this podcast is your chance to learn from the people already doing it.
Podcast Insights
Content Themes
The podcast explores a variety of central themes, including the implications of AI on productivity, decision-making, and human roles in enterprises. Specific episodes delve into topics such as mass-scale code refactoring, represented by the interview with Justine Gehring from Moderne, as well as practical AI integration strategies depicted in the debut episode featuring Gautam Singh discussing data analytics. The show aims to demystify AI by addressing governance, ethics, and challenges faced by businesses in its adoption.
What does AI really mean for the modern workplace, and are we ready for what comes next?
AI at Work is a podcast from the Tech Talks Network, the home of conversations that showcase the voices at the heart of enterprise technology. You may know me from Tech Talks Daily, where we explore a different area of innovation in every episode. This show offers a focused look at one of the most significant shifts in business: how artificial intelligence is transforming the way we work..
AI at Work is a podcast from the Tech Talks Network, the home of conversations that showcase the voices at the heart of enterprise technology. You may know me from Tech Talks Daily, where we explore a different area of innovation in every episode. This show takes a focused look at one of the biggest shifts in business: how artificial intelligence is transforming the way we work.
From intelligent automation to agentic AI and from the promise of workplace efficiency to the risks of unintended consequences, we aim to provide a grounded and accessible perspective on how AI is shaping the future of work.
If you’re using AI in your business or thinking about how to get started, this podcast is your chance to learn from the people already doing it.
How do you keep product teams aligned when AI is speeding everything up, but people, priorities, and expectations are still pulling in different directions?
In this episode of AI At Work, I sat down with Dave West, CEO of Scrum.org, to talk about one of the most overlooked challenges in modern product development: stakeholder collaboration. While so much of the conversation around AI focuses on faster delivery, automation, and productivity, Dave makes the case that the real pressure point is still human. As teams ship more, communicate faster, and rely on AI to remove friction, weak stakeholder relationships become even harder to ignore.
We unpack why Scrum.org has launched its new self-paced course, Effective Stakeholder Collaboration for Scrum Teams, and why Dave believes this topic deserves far more attention than it usually gets. He explains how AI is exposing old cracks inside organizations, from fuzzy expectations and unspoken assumptions to inconsistent communication and poor decision-making. We also talk about why product teams need a more disciplined approach to stakeholder engagement, one that is clear, intentional, and built around trust rather than vague alignment.
What I found especially interesting in this conversation was Dave’s view that this is less about job titles and more about how real people work together. We discussed how product owners, Scrum Masters, and developers can build stronger relationships without creating confusion, why empathy and better listening can change the direction of a product, and how segmenting stakeholders by needs, motivations, and context can reduce what Dave describes as stakeholder drag. It is a practical conversation for anyone working in product, Agile, Scrum, or AI-driven delivery.
We also went beyond the course itself and into the wider debate about whether Agile and Scrum still matter in the age of AI. Dave had a lot to say on that, and he did not hold back. His argument is simple: AI may help teams build faster, but it also makes it painfully obvious when they are building the wrong thing. If you care about AI at work, Scrum, product management, stakeholder engagement, or the future of Agile, this episode has plenty to think about. Do you believe AI will strengthen stakeholder collaboration or expose just how broken it already is, and what side of that debate are you on? Share your thoughts.
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