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the divide is growing between those who embrace AI with curiosity and experimentation, and those who stick to outdated, manual methods.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.

Companies lagging in internal AI transformation risk falling behind unless they designate a senior leader—regardless of title—to treat internal workflows like products, driving AI adoption, performance, and measurable business impact. This role is not just about tech implementation but about strategically redesigning core operations to unlock compounding advantages in efficiency, innovation, and growth.

AI readiness isn’t about how many models you’ve “integrated” or how many AI tools your teams have experimented with. It’s not about whether your CEO gave a generative AI shoutout on the last earnings call.