You want the modern content lead to do all this — and manually post every day too?

The manual part of distribution is administration, not creativity — and the busiest, most knowledgeable people are the ones who can least afford to keep doing it by hand.

I’ve been looking at my workload this week and thinking about what a fairly normal editorial or content lead role is becoming. Not the job description. The actual work.

In the space of a few days I’ve moved between campaign planning, customer-story development, GEO, AI visibility data, event interviews, video, web-page architecture, research evidence, freelancer content, stakeholder conversations and production decisions. Some of that involves writing. Quite a lot of it doesn’t. I’m trying to work out things like:

Which audience questions are actually worth answering?
Is something a content gap, a page problem or an evidence gap?
Do we need another article at all?
Can existing research or customer evidence do the job better?
What should we ask practitioners at an event next week so the answers are useful afterwards?
Can a video interview generate useful written evidence as well as footage?
How should a campaign’s editorial layer connect with social, video, web and search?
What is AI visibility data actually telling us?
Who owns which part of the work?
What should I own, and what should I deliberately leave with somebody else?

And, somewhere within all that, there is still the requirement to actually make things. This feels increasingly like the reality of senior content and marketing work — which makes one expectation seem more absurd every year: remember to manually post on social media all the time too.

The manual publishing assumption

There is a strange assumption built into a lot of professional advice about personal brands and distribution. Write three times a week. Post every day. Comment regularly. Repurpose your work. Turn the article into a thread, the thread into a carousel, record a video, and remember to publish it at the right time. Then do it again tomorrow.

That can work if publishing is the work. For a writer, creator or social specialist, the act of posting may sit fairly close to the centre of the job. But what about everyone else?

What about a campaign lead who has spent the day coordinating seven workstreams? A product marketer who has gone from customer research to sales enablement to a launch meeting? A content lead who has spent three hours untangling campaign requirements before they can even decide what should be commissioned? An expert who has spent the day doing the thing that makes their opinion worth hearing?

At the end of that day, are we really going to pretend that manually opening LinkedIn, copying in some text, finding the asset, formatting it, checking the preview and remembering to hit publish is an important expression of human creativity? It’s administration.

The people with the most to say often have the least time to say it

This creates a ridiculous inversion. The people generating the most useful professional knowledge are often the least able to maintain the publishing cadence supposedly required to distribute it.

They are in the meetings. They are talking to customers. They are dealing with failures and making decisions. They are seeing the campaign before it becomes a campaign, noticing the strange thing a customer said that contradicts six months of assumptions, and finding out where the process actually breaks. That is where the interesting material comes from.

But by the time the day finishes, most of it disappears into meeting notes, chat threads, decks, half-finished documents and somebody’s memory. Then we tell them they need to “create content”. They already did. The problem is that the system didn’t capture the content while the work was happening.

This changes how I think about AI and distribution

This is where I’m much more interested in AI than I am in the idea of a machine generating endless posts. I don’t particularly want an AI to invent thirty opinions for me. I want a system that notices that useful intellectual work is already happening:

A decision was made.
A campaign assumption was challenged.
A customer provided a useful example.
A new framework emerged from solving a real problem.
A piece of research contradicted the expected answer.
An interview question produced evidence we didn’t previously have.

Those things should become candidates for distribution almost automatically. Not automatically published. That distinction matters. The useful workflow looks more like:

work happens → signals are captured → editorial judgement decides what matters → the system helps package it → human approves → distribution happens

The scarce human contribution remains the interesting part:

What do I believe?
What is genuinely useful?
What is confidential?
What would I stand behind publicly?
What needs more evidence?
What should never become a post?

Those are editorial decisions. Manually pasting text into a publishing interface at 6.17pm is not.

Distribution should be downstream of the work

I think this is part of a larger shift in how content systems need to operate. We’ve treated distribution as a separate final stage: make the thing, finish the work, then work out how to promote it. That model made more sense when the primary unit of content was a finished asset.

But increasingly, useful knowledge exists throughout the work itself. A campaign planning session contains material. A customer interview contains material. A research review contains material. A difficult decision contains material. A failed experiment contains material. A conversation between specialists contains material.

The job of the system should be to retain those signals so that they can be evaluated later. That is very different from asking everyone to become a full-time creator.

The modern content lead is already stretched horizontally

This is also why I think the definition of editorial work is getting wider. A content lead can now sit across research, campaigns, customer evidence, video, GEO, AI tooling, events, web journeys, stakeholder management and production. The role is increasingly about connecting things that would otherwise remain separate.

That makes distribution more important, not less. But it also means the old manual model becomes less viable. If someone is operating horizontally across all of those areas, regular distribution cannot depend entirely on them remembering to perform one more task at the end of the day. The system has to help.

A useful test

I think there’s a simple way to tell whether you actually have a distribution system. Ask: if the busiest and most knowledgeable person in the team forgets to manually post this week, does all the useful thinking disappear?

If the answer is yes, you don’t really have a distribution system. You have another item on their to-do list. And modern marketing professionals already have enough of those.

The opportunity for AI isn’t to remove the human voice. It’s to stop wasting the human attention required to produce one.