Ivan Faerman (pronounced "eee-vhán".)

As a strategist, I understand what the work needs to achieve. As a producer, I know how we get it done. As an operator, I know how to scale these processes for entire orgs—prioritizing the right things at each level, making sure every piece delivers.

I design the system, not just manage the work. How work enters. How it's prioritized. Where decisions happen. How it scales.

I prioritize senior judgment over headcount. I anticipate failure points, push back on bad asks, make trade-offs in real time, and protect quality under pressure.

I optimize for clarity. Who decides what. When to escalate. What doesn't get done. Good ops means fewer meetings, faster decisions, better work.

This topic warrants far more nuance than a few paragraphs can capture. What follows is a brief attempt to share where I stand, right now. An invitation to a longer conversation, not a final word. This is an evolving space, and I'm committed to learning and adapting as it does. It's a moral and practical challenge for all of us.

Generative AI is an unprecedentedly powerful set of tools. I continuously incorporate them into my workflows, and I encourage my teams to continuously adopt new tools and evolve processes accordingly. I embrace it fully where it helps us explore further, move faster, iterate more freely. It's a driver of productivity and possibility.

I don't believe, however, that it is a silver bullet that is able to replace what makes the work valuable in the first place: human creativity, judgment, taste, and intuition. The perspective is human. The decisions about what to say, why it matters, and whether it's good—those are human. And in a landscape flooded with AI-generated content, what stands out isn't speed or volume—it's the humanity behind it.

And there's a broader societal debate that is important and urgent: training data questions, labor displacement, the pressure to cut costs by cutting craft. I hold those tensions. I also know that human knowledge and creativity has always built on what came before, and tools have always evolved. AI is the latest—but its transformative power and the urgency of its implications demand we sit and engage in this debate, even when we can't reconcile them fully.