Hi Ekta, This is impressive. I like how to you took a traditional org chart and added AI as a capability and refreshed it to be more relevant and future forward. I was wondering where/ how you would place roles like ecommerce manager or site merchandiser? For most DTC brands, these roles are crucial for revenue generation and website management. Although AI is increasing playing an important role at an executionary level, how do you see these legacy roles play out in the AI adaptability scale?
Thanks so much—and great question. Roles like eCommerce Manager and Site Merchandiser are exactly the ones at the center of this shift.
In the AI-Enabled Talent Evolution Model, I’d place them as “Augmentables” today—with strong Catalyst potential. They’ve got business context, revenue accountability, and deep operational knowledge—but to stay ahead, they’ll need to evolve into AI-augmented orchestrators.
That means:
Prompting AI to suggest and test merchandising logic
Using copilots for real-time optimization (vs. rule-based logic)
Partnering with product/data to shape the inputs AI learns from
The role isn’t going away—it’s becoming more strategic. But only if we invest in reskilling and empower these teams to lead with AI. Thanks again for surfacing this—such an important callout.
Excellent breakdown between low and high-level and what gets phased out versus what gets amplified. Really enjoyed it and you laid it out really simply.
I liked this one @Ekta Chopra. AI isn’t a function, its a capability. In many ways, this change journey mirrors the big transformations we saw with cloud, offshoring, data transforming traditional marketing. Growth mindset for the win!
Hi Ekta, This is impressive. I like how to you took a traditional org chart and added AI as a capability and refreshed it to be more relevant and future forward. I was wondering where/ how you would place roles like ecommerce manager or site merchandiser? For most DTC brands, these roles are crucial for revenue generation and website management. Although AI is increasing playing an important role at an executionary level, how do you see these legacy roles play out in the AI adaptability scale?
Thanks so much—and great question. Roles like eCommerce Manager and Site Merchandiser are exactly the ones at the center of this shift.
In the AI-Enabled Talent Evolution Model, I’d place them as “Augmentables” today—with strong Catalyst potential. They’ve got business context, revenue accountability, and deep operational knowledge—but to stay ahead, they’ll need to evolve into AI-augmented orchestrators.
That means:
Prompting AI to suggest and test merchandising logic
Using copilots for real-time optimization (vs. rule-based logic)
Partnering with product/data to shape the inputs AI learns from
The role isn’t going away—it’s becoming more strategic. But only if we invest in reskilling and empower these teams to lead with AI. Thanks again for surfacing this—such an important callout.
Excellent breakdown between low and high-level and what gets phased out versus what gets amplified. Really enjoyed it and you laid it out really simply.
thank you
I liked this one @Ekta Chopra. AI isn’t a function, its a capability. In many ways, this change journey mirrors the big transformations we saw with cloud, offshoring, data transforming traditional marketing. Growth mindset for the win!
💯 exciting journey as we build this capability together!