Who gets fired first when AI Agents become a reality?
- Part 1The $750 billion AI advertising opportunity
- Part 2How will Agentic architecture change how software is sold?
- Part 3ChatGPT, Claude, and Gemini enter a cage match…
- Part 4 Who gets fired first when AI Agents become a reality?
Episode Chapters
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00:00: AI's Impact on Jobs
Discussion about which roles will be most vulnerable when agentic AI becomes mainstream in the workplace.
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00:30: Content Creation Vulnerability
Exploration of how AI tools like NotebookLM are already changing content creation processes including podcasting.
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01:15: Laggards at Greatest Risk
Analysis of how technology adoption, not specific job functions, will determine who remains valuable in an AI-powered workplace.
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02:10: Research Roles Changing
Examination of how basic research functions are particularly susceptible to disruption by generative AI technologies.
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02:45: Human Direction Still Needed
Discussion about the continued importance of human guidance in AI workflows across creative and research domains.
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Episode Summary
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Who Gets Fired First When AI Agents Become a Reality?
Introduction
In this thought-provoking episode, Benjamin Shapiro is joined by Kevan Yalowitz, Global Software and Platform Lead at Accenture, to explore how artificial intelligence is reshaping the advertising landscape. With extensive experience helping executives identify and capture leading-edge growth opportunities, Yalowitz offers valuable insights into who might be most vulnerable as agentic AI becomes more prevalent in the workplace, and how marketing professionals can position themselves for success in this rapidly evolving technological environment. -
The Real Victims of AI Advancement
When asked who gets fired first as AI agents become more sophisticated, Yalowitz initially jokes that content creators like podcast hosts might be at risk, pointing to tools like NotebookLM that can generate content without human involvement. However, both Shapiro and Yalowitz quickly agree that human elements—personality, speculation, and authentic co ection—remain irreplaceable in content creation. The conversation reveals an important truth: while AI can replicate certain aspects of content production, the human touch continues to provide unique value that technology ca ot yet replicate. -
The Laggard Problem
Shapiro identifies the true vulnerability in organizations: "The people that don't understand how to use artificial intelligence to do what they do better are going to go the way of the dodo bird." This insight cuts across all organizational levels—from entry-level positions to executive leadership. The risk isn't confined to specific departments or roles but rather affects anyone who fails to adapt to technological change. This parallels historical technological shifts, where those who mastered new tools like typewriters gained significant advantages in the workplace. -
Jobs Most Susceptible to AI Disruption
While adaptation is crucial across the board, Yalowitz notes that certain types of work face greater disruption from generative AI than others. Basic research functions, which previously required significant human effort, can now be largely automated. Professionals whose primary responsibilities center around these tasks need to proactively pivot their careers, developing new skills that complement rather than compete with AI capabilities. The key is to move toward roles where human judgment, creativity, and strategic thinking remain essential. -
The Human-in-the-Loop Advantage
Both experts emphasize that AI tools require human direction to be truly effective. Someone must know what questions need answering, what research directions are valuable, and how to interpret and apply the results meaningfully. As Shapiro notes, "Somebody's going to need to know what they're researching. Somebody is going to need to ask the questions that need to be answers." This human-in-the-loop approach suggests that while AI may reduce the number of people performing certain tasks, those who master AI tools will become increasingly valuable to organizations. -
Conclusion
The future of work in an AI-driven advertising landscape isn't about wholesale replacement of roles but rather a transformation in how work gets done. The professionals most at risk aren't those in specific departments but those who fail to adapt to technological change. As AI continues to evolve, marketing professionals who position themselves as skilled AI orchestrators—knowing how to direct, refine, and apply AI outputs—will thrive. The key takeaway is clear: embrace AI as a powerful tool that enhances human capabilities rather than viewing it as a replacement for human judgment and creativity. -
- Part 1The $750 billion AI advertising opportunity
- Part 2How will Agentic architecture change how software is sold?
- Part 3ChatGPT, Claude, and Gemini enter a cage match…
- Part 4 Who gets fired first when AI Agents become a reality?
Up Next:
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Part 1The $750 billion AI advertising opportunity
AI is transforming the $750 billion advertising landscape. Kevan Yalowitz, Senior Managing Director at Accenture, explains how generative AI is revolutionizing creative production, audience targeting, and content relevance for advertisers. He reveals how AI-powered tools are enabling smaller businesses to produce high-quality creative at scale, discusses the shifting balance of power between platforms and advertisers, and examines how consumer trust increases when AI-generated content is properly disclosed.
Play Podcast -
Part 2How will Agentic architecture change how software is sold?
Software pricing models are being revolutionized by AI. Kevan Yalowitz, Global Software and Platform Lead at Accenture, explains how agentic architecture is shifting software from seat-based pricing to value and outcome-based models. He details why this transformation represents a revolutionary rather than evolutionary change, creating a disconnect between what software companies currently offer and what IT consumers increasingly demand.
Play Podcast -
Part 3ChatGPT, Claude, and Gemini enter a cage match…
AI is reshaping the advertising landscape. Kevan Yalowitz, Global Software and Platform Lead at Accenture, shares his comparative analysis of leading AI models including ChatGPT, Claude, and Gemini. He demonstrates how each platform excels in different use cases—Gemini for broad data integration, ChatGPT for deep reasoning and research, and Claude for nuanced copywriting—revealing how marketing teams can leverage complementary AI strengths rather than relying on a single solution.
Play Podcast -
Part 4Who gets fired first when AI Agents become a reality?
AI is reshaping advertising roles and responsibilities. Kevan Yalowitz, Global Software and Platform Lead at Accenture, examines which positions face disruption as agentic AI becomes mainstream. He discusses how NotebookLM and similar tools are transforming basic research functions, while emphasizing that technology-savvy professionals who leverage AI will thrive regardless of their position in the organization.