Mark Fidelman and Eugene Vyborov discuss the differences between traditional automation and agentic AI in marketing. Eugene, founder of Ability AI, explains that agentic AI can make decisions and execute them, unlike traditional automation, which is rule-based.

Ability AI's media buying agent simulates a media buyer's work, understanding audiences, creating value propositions, and launching campaigns on Facebook. Eugene highlights that agentic AI is a paradigm shift, with potential for significant efficiency gains.

He advises marketers to learn about AI to stay competitive and suggests testing AI for competitive intelligence. Ability AI's media buying agent is in beta, with general availability soon.

Introduction and Guest Introduction

Mark Fidelman introduces the topic of the discussion, focusing on the differences between traditional automation and agentic AI in marketing.
Mark Fidelman introduces Eugene Vyborov, a serial entrepreneur and founder of Ability AI, who is currently in Portugal.
Eugene Vyborov provides a brief introduction about himself and his company, Ability AI, which focuses on AI automation for marketing, particularly media buying with Facebook.
Eugene Vyborov explains his interest in agentic AI and entrepreneurship, highlighting his expertise in this area.

Differences Between Traditional Automation and Agentic Automation

Eugene Vyborov explains that traditional automation is rule-based and lacks intelligence, while agentic automation can make decisions and execute them.
Agentic automation can analyze information, make judgments, and take actions to achieve better results.
Eugene Vyborov emphasizes the importance of content creation in marketing and how agentic automation can create content at scale.
Mark Fidelman asks for clarification on the term "agentic," and Eugene explains that an agent can be proactive or follow instructions, depending on the business use case.

Paradigm Shift in Marketing Automation

Eugene Vyborov believes that agentic automation represents a full paradigm shift, larger than the introduction of the internet.
Mark Fidelman shares a statistic from a previous episode where only 10% of marketers were using ChatGPT a year ago.
Mark Fidelman and Eugene discuss how agentic automation can make marketing more relevant and directed to individuals in real-time.
Eugene Vyborov provides examples of how agentic automation is already being used in media buying, SEO, and cold emailing.

Case Studies and Practical Examples

Eugene shares that his own marketing for Ability AI is run by their agent, which books demos at a decent cost.
Mark Fidelman provides an example of how agentic automation could personalize emails in real-time based on information found on the internet.
Eugene discusses how agentic automation can create SEO-optimized content at scale, leading to significant traffic for websites.
Eugene explains how their media buying agent works, from understanding the audience to launching and optimizing campaigns on Facebook.

Autonomy and Trust in AI Agents

Mark Fidelman asks about the level of autonomy marketers should allow their AI agents to have.
Eugene explains that currently, the level of autonomy is relatively low due to the need for trust and the risk of mistakes.
Eugene believes that over time, agents will become more autonomous and take over more decision-making responsibilities.
Mark Fidelman and Eugene discuss the performance metrics and KPIs used to judge agentic automation, such as return on ad spend and CPC.

Technical Stack and Market Trends

Eugene explains that there is no single tech stack for agentic automation, with various solutions available.
Eugene mentions generic solutions like Make and Natin that can help build agentic workflows.
Mark Fidelman asks about the biggest objections or misconceptions marketers have about agentic automation.
Eugene identifies mistrust, desire to control, and fear of replacement as major concerns among marketers.

Future of Marketing with Agentic Automation

Eugene believes that agentic automation will introduce more opportunities than it will take away, leading to a fragmented market with more solopreneurs and small teams.
Mark Fidelman and Eugene discuss the potential impact of AGI on marketing and the importance of marketers learning to work with AI.
Mark Fidelman suggests a use case for marketers to test: having an agent constantly scour the internet for competitive moves.
Eugene advises marketers to spend time learning about and working with agentic systems to stay ahead of the curve.

Rapid Fire Questions and Closing Remarks

Eugene identifies ChatGPT as the most overhyped AI tool, as it may limit exploration of other AI capabilities.
Eugene Vibraf suggests that the role of go-to-market engineer will become more important in the future.
Eugene believes that while AI can handle basic strategy, humans will still be needed to approve and commit to the strategy.
Eugene expresses concern about the uncertainty and potential misuse of agentic AI, emphasizing the need for control.

Contact Information and Final Thoughts

Eugene provides information about Ability AI and their media buying agent for Meta.
Mark Fidelman shares his contact information and encourages listeners to reach out to Eugene and test Ability AI's products.
Mark Fidelman concludes by emphasizing the importance of agentic automation in marketing and the potential it has to revolutionize the industry.

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