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Aaron Mitchell Finegold, Head of Product Marketing at Adobe, discusses why many organizations are approaching AI adoption the wrong way and what enterprise-ready, agentic workflows should look like. He outlines how brand intelligence, human judgment, and reliable guardrails are essential to preserve brand integrity while scaling generative systems.
The conversation covers practical examples from building with AI at Adobe, the boundaries between human creativity and agent automation, and which roles and personality traits will thrive in an AI-driven workplace. Aaron also describes how enterprises can convert brand knowledge into AI-readable intelligence that supports trusted, agentic content supply chains.
Key Topics Covered:
Episode Timestamps:
00:00 Intro and Aaron's background
03:01 Hands-on experience building with AI
04:41 The biggest misconception about generative AI
05:38 What an agentic content supply chain looks like
07:30 When should AI agents replace humans?
08:40 How Adobe's Brand Intelligence works
10:44 Where AI starts and human creativity ends
12:09 Aaron's vision for the future of work
13:41 What trust means for humans and AI agents
16:34 Reliability, AI systems and enterprise adoption
19:34 The personality traits that will thrive in the AI era
21:38 Why do you do what you do?
About the Guest:
Aaron Mitchell Finegold is Head of Product Marketing at Adobe, working at the intersection of enterprise AI, agentic workflows, and brand intelligence. He focuses on designing systems that combine human judgment with AI agents while protecting brand trust and operational reliability.
About the Company:
Adobe is a global software company known for its creative, document and marketing solutions that power content production and brand experiences. In enterprise contexts, Adobe develops tools and platforms that integrate human workflows with AI-powered capabilities to help organizations scale creative and brand operations responsibly.