What happens when AI does the work junior communicators used to learn from?

A decade ago, a communications coordinator in a charity might spend a day interviewing a client, speaking to programme staff and shaping a story for a fundraising campaign, annual report or funding application.

The draft would eventually land in the inbox of a more experienced communicator and return covered in edits and questions.

Is this the strongest angle? What are we trying to achieve? Are we representing this person respectfully and with dignity? What evidence supports this claim? How might different audiences respond?

At the time, the feedback could feel frustrating. Looking back on my own career, however, those conversations were often where the real learning happened.

The story itself was never the most valuable outcome. Learning how to think like a communicator was.

Today, artificial intelligence can complete many of those same tasks in minutes. It can generate a first draft, suggest headlines, refine tone, identify key messages and summarise background information. For charities and NGOs facing increasing demand, growing expectations and limited resources, the appeal is obvious.

Yet the rapid adoption of these tools raises a question that extends beyond efficiency.

If technology increasingly performs the work through which communicators developed their skills, how will the sector develop the next generation of communications leaders?

Communications capability is critical to mission delivery

Every charity relies on communications capability, whether it sits within a dedicated communications team or is spread across fundraising, advocacy, engagement and service delivery functions.

The ability to tell compelling stories, engage supporters, build trust and communicate impact is fundamental to advancing a mission. Strong communications can influence fundraising outcomes, volunteer recruitment, public awareness and policy change.

For many organisations, communications is not simply a support function. It is a critical enabler of impact.

Developing communications capability therefore matters not only for the profession itself, but for the future effectiveness of the sector.

The tasks were never just tasks

Communications has traditionally been a profession learned through practice.

Many experienced practitioners began their careers writing stories, drafting media releases, preparing stakeholder updates, monitoring media coverage and supporting campaigns. These activities may have appeared routine, but they played an important developmental role.

Writing a media release taught practitioners what makes something newsworthy. Preparing a stakeholder update helped them understand organisational priorities. Drafting a Q&A developed their ability to anticipate difficult questions and identify risks. Pitching stories taught resilience, relationship management and the realities of public interest.

The output mattered, but the learning that occurred through the process mattered more.

Over time, these experiences helped communicators develop the judgement required to move from producing content to providing advice.

That distinction is important because the most valuable communicators are rarely those who can simply write well. They are the ones who can help organisations make sound decisions about what to say, when to say it and how to engage with the people they exist to serve.

A concern emerging internationally

This is not simply a theoretical concern.

Across the United Kingdom, United States and other major communications markets, professional bodies and industry leaders are increasingly discussing the implications of AI for professional development.

Research from the UK's Chartered Institute of Public Relations (CIPR) has found AI tools are already supporting a significant proportion of public relations work, with adoption continuing to accelerate. At the same time, workforce researchers are observing that entry-level knowledge workers are among those most exposed to AI-driven change.

The concern is not necessarily that communicators will disappear.

Rather, it is that many of the tasks historically undertaken by junior practitioners are the same tasks that helped them build expertise.

Across communications, law, consulting and other knowledge-based professions, a growing debate is emerging about what happens when technology begins to absorb the work through which people traditionally learned.

In communications, the irony is particularly striking.

The skills becoming most valuable in an AI-enabled environment - judgement, stakeholder insight, strategic thinking, ethical decision-making and trusted counsel - are often the very skills that practitioners developed through years spent undertaking the work AI is now helping to perform.

I don’t think the risk is that AI will replace communicators.

It’s that it accelerates us past some of the experiences that helped create good ones.

AI is changing the role, not eliminating the need

The growing use of AI does not necessarily mean communications professionals will become less important.

In many respects, the opposite may be true.

As content creation becomes faster and more accessible, technical production skills alone are likely to become less of a differentiator. The skills that become more valuable are those that AI cannot easily replicate.

A generative AI tool can draft a media release. It cannot determine whether issuing a media release is the right course of action, or how the angle will land.

It can develop key messages. It cannot anticipate how those messages may be received by a donor, a volunteer, a government minister or a community that has historically felt unheard.

It can suggest language. It cannot necessarily analyse hidden meanings and nuances behind the words or take responsibility for the consequences of that language.

This distinction is particularly important in the not-for-profit sector, where trust is often an organisation's most valuable asset.

Communications is not simply about producing content. It is about helping organisations navigate complexity, make sound decisions and build meaningful relationships with the people they serve.

In an AI-enabled world, the role of the communicator may become less focused on producing content and more focused on providing judgement.

The challenge is that judgement has traditionally been developed through years spent producing content.

Why NGOs should care

For charities and NGOs, this challenge may be especially significant.

Large corporates often have access to structured graduate programmes, formal leadership pathways and significant investment in capability development. Many charities do not.

Historically, the sector has relied heavily on experiential learning. People developed by doing the work, receiving feedback, observing experienced practitioners and gradually taking on more complex responsibilities.

This approach has produced communicators capable of navigating some of society's most challenging issues.

Communicators in the sector are often required to engage with vulnerable communities, communicate complex social issues, maintain public trust, support advocacy efforts and balance the expectations of donors, funders, government agencies and service users.

These responsibilities require more than technical communications skills.

They require judgement.

Judgement about whose story should be told and how, how to communicate ethically and respectfully. Judgement about how a message may be received by different audiences. Judgement about when an issue carries reputational risk and when it presents an opportunity to influence change.

These capabilities are not developed through mastering good AI prompts. They are developed through experience.

For a sector that depends on trust, relationships and influence, the challenge is not simply adopting AI. It is ensuring that, in the pursuit of efficiency, we do not unintentionally weaken the pathways through which future communications capability is developed.

A leadership challenge for the sector

None of this is an argument against AI.

The sector should continue exploring tools that help organisations work more effectively and make better use of limited resources. The productivity benefits are real and, for many charities, increasingly necessary.

However, communications leaders should also be asking how capability will be developed in an AI-enabled environment.

If AI is generating the first draft of every story, where will emerging communicators learn what makes a story compelling?

If AI is producing stakeholder materials, how will they develop audience insight and organisational awareness?

If AI is doing more of the production work, what experiences will help build the judgement required of future communications leaders?

These are not technology questions, they are leadership questions.

The organisations that thrive in the future are unlikely to be those that simply adopt AI most quickly. They will be those that successfully combine technological efficiency with deliberate investment in human capability.

Because while AI may help us write the story, it cannot develop the storyteller.