AI doesn't replace creative experts; it elevates their role. Their craft shifts from manually creating individual assets to designing and building robust, reusable AI systems that empower the entire organization to generate on-brand content.

If you struggle to articulate your editing or design style, feed an AI examples of your work. It can identify patterns and generate a system prompt, or 'skill,' that codifies your unique taste for your entire team to use.

By creating a central repository infused with company strategy and market data, AI tools can help junior PMs produce assets with the same contextual depth as a 20-year veteran, democratizing product intuition and standardizing quality across the team.

To avoid redundant work, Sendbird created a marketplace where employees can publish and download reusable AI 'skills' (e.g., a 'MedPic Advisor' for sales). This allows expertise from one team to be programmatically encoded and applied across the entire organization.

Instead of replacing skilled roles like copywriters, AI transforms them into strategic enablers. Their job evolves from creating individual assets to building the underlying AI prompts and frameworks that allow the entire organization to produce high-quality, brand-compliant work at scale.

A specialist can build a complex, multi-step AI workflow and then expose only key inputs to the team. This turns their expertise into a scalable, self-serve "app" for marketers, enabling on-demand, on-brand creative generation without direct designer involvement.

Instead of replacing junior hires, AI creates a new opportunity: empower high-agency junior talent with powerful AI tools. This strategy creates a force-multiplier effect, allowing a small, specialized team to achieve outsized results by giving them "nuclear power" to tackle complex problems.

Today, most AI use is siloed, with individuals prompting alone. The real value is unlocked when AI becomes a team sport, with specialists building systems that are shared, iterated upon, and used collaboratively across the entire organization.

As teams adopt AI, individuals create disparate workflows, leading to inconsistency. Solve this by building an organizational skills library. Vetted, high-performing AI workflows are shared, ensuring everyone uses the best-in-class process for common tasks.