AI is revolutionizing post-sale functions like customer support, success, and RevOps by automating repetitive tasks, increasing efficiency, and improving outcomes — all without expanding headcount. While AI handles triage, ticket resolution, QBR drafting, and reporting, humans remain essential for building relationships and driving strategic growth.

AI isn’t replacing marketers—it’s replacing the slow, costly production layer of marketing. The new model separates strategy (human-driven) from execution (AI-powered), enabling leaner teams to launch faster, iterate more, and scale content with unprecedented efficiency—so long as the brand’s voice and vision remain human-defined.

Engineering is shifting from bloated teams focused on headcount to lean, AI-empowered squads that prioritize output and strategic impact. With automation handling boilerplate, testing, and debugging, the best engineers now act as product-driven strategists, enabling faster cycles, tighter integration, and higher-quality results.

In today’s rapidly evolving workplace, the divide is growing between those who embrace AI with curiosity and experimentation, and those who stick to outdated, manual methods. The future belongs to the adaptable—those who learn fast, test boldly, and see AI not as a threat, but as a powerful tool for performance and growth.

Outbound is oversaturated with generic AI emails that no longer get responses. Winning teams now lead with human connection and use AI only to support, not speak.

AI has inundated the market with an endless stream of cheap, generic content, driving its value to zero and collapsing traditional marketing ecosystems. Now, brands must differentiate through original voice, human-led storytelling, and deep creative insight—using AI only as a scaling tool, not the source of their ideas.