To succeed, marketers must stop passively accepting the data they're given. Instead, they must proactively partner with IT and privacy teams to advocate for the specific data collection and governance required to power their growth and personalization initiatives.

The 'Mad Men' era of relying on a creative director's gut feel is obsolete. Many leaders still wrongly judge marketing creative based on their personal taste ('I don't like that picture'). The correct modern approach is to deploy content and use the resulting performance data to make informed decisions.

Marketers should use AI-driven insights at the beginning of the creative process to inform campaign strategy, rather than solely at the end for performance analysis. This approach combines human creativity with data to create more resonant campaigns and avoid generic AI-generated content.

Mops teams become respected strategic partners when they stop passively accepting requests and start asking "why." By questioning the goal behind a task and suggesting better approaches, they demonstrate expertise and train stakeholders to treat them as advisors, not a fast-food drive-thru.

The traditional product management skillset is no longer sufficient for executive leadership. Aspiring CPOs must develop deep expertise in either the commercial aspects of the business (GTM, revenue) or the technical underpinnings of the product to provide differentiated value at the C-suite level.

Marketers trained as perfectionists must abandon micromanaging every interaction in an AI-driven world. True leadership means letting go of the illusion of control to gain the reality of scale. The new role is to govern the system by defining ethical boundaries, tone, and data rules—managing the game, not the player.

Go beyond using AI for data synthesis. Leverage it as a critical partner to stress-test your strategic opinions and assumptions. AI can challenge your thinking, identify conflicts in your data, and help you refine your point of view, ultimately hardening your final plan.

In the AI era, marketing and growth roles are splitting into two distinct archetypes: the 'tastemaker' who has exceptional creative taste and intuition, and the 'engineer' who can technically analyze and orchestrate complex systems. Being average at both is no longer a viable path to success.

The most impactful marketers adopt a founder's mindset by constantly asking if their decisions align with the CEO or CFO's perspective on profitable growth. This leads to creating "boring" — repeatable and consistent — systems, rather than chasing new, shiny projects every quarter.