Brandon Marcus

“reactionary,” which refers precisely to the desire to reimpose a previous disposition of society after its time has passed.

In other words, without a common and stable world of things to ground our experience with others, without the table around which we might gather, the mind is cut off from a common sense and set loose upon itself in ways that become self-destructive.

“Only the experience of sharing a common human world with others who look at it from different perspectives,” she wrote, “can enable us to see reality in the round and to develop a shared common sense.”

However, in the modern world Arendt argued, common sense “became an inner faculty without any world relationship.” “This sense now was called commo... See more

We talk a lot, both in broader conversation and specialied academic discussions about what the “public” believes and wants. The problem is that we cannot actually see the public directly, or even make out the beliefs and wants of the various micropublics (interest groups, parties, local organizations and the like) that are its constitutive parts. A... See more

It is said that objectivity is what we need more of, but that’s not what people want. What people want is advocacy.

Plenty good enough is all that matters, though. Clients don’t even recognize great work, so who are we fooling? They recognize bad work, but not good work. Good work is just good enough. If you wrap good enough work in great customer service and project management, you’ll get away with a whole lot.

1. Audit your skill stack. List the 3–5 core components of your role. Circle the one you’d be least confident doing solo. That’s your first gap.

2. Map the adjacent skills. Write down the two roles you rely on most but don’t do yourself (designer? analyst? ops?).

3. Zoom out to cross-functional human skills. Pick one “people” capability you underuse... See more

While AI is most effective at automating narrow, repetitive tasks, it’s less capable of stitching those tasks together into a coherent whole. A full-stack professional knows how to orchestrate —they use AI to handle discrete components, while maintaining oversight and strategic control across the entire workflow.

You need depth, not least because it's essential for AI oversight. Only someone with domain fluency can evaluate a model’s outputs, catch subtle errors, and know when to override. And you need breadth because while AI excels at narrow, repetitive tasks, your edge becomes being able to understand adjacent domains.