The visible fee for producing the first version is often only a modest part of the total.
Costs include money, time and attention. A short page may involve several specialists and approval rounds. Once published, it occupies a content system, appears in search and creates an expectation that the organisation will keep it accurate. There’s no such thing as a free page, though plenty have escaped without an owner.
Why it matters for content
Understanding cost helps organisations make better decisions about what deserves to exist. If teams count only production, publishing more appears cheap while maintenance accumulates invisibly. The result is often duplicated, outdated or low-value content that makes useful material harder to find.
Different content carries different continuing costs. A campaign page may have a short life and clear retirement date. Regulatory guidance may need frequent expert review. Translated content multiplies update work across languages. Structured content may cost more to model initially but reduce duplication later.
Cost isn’t an argument for producing as little as possible. It’s an argument for investing deliberately. Useful content can reduce support demand, prevent errors, improve services and build trust. The question is whether its value justifies the resources needed to keep it healthy.
How AI changes the picture
AI lowers the apparent cost of drafting and adaptation. This can make valuable work possible, but it can also encourage organisations to create far more content than they can govern. Cheap production moves the constraint elsewhere: source quality, review, risk, maintenance and the reader’s finite attention.
AI systems also create new content costs. Prompts, instructions, knowledge sources, evaluation cases and generated responses need design and upkeep. Models and tools may change, requiring retesting. A workflow that saves writing time but demands extensive correction or creates harmful errors may be costly in less obvious ways.
Used carefully, AI can reduce costs by identifying duplication, suggesting updates, supporting translation and checking routine quality criteria. Savings should be assessed across the lifecycle rather than announced after the first fast draft.
Questions people ask
- How do we calculate the cost of one piece of content?
Choose a period, such as the next year, and estimate creation, approval and expected updates within it. Add the relevant share of technology, translation and specialist review costs. A rough range is a useful starting point; avoid charging a whole shared platform to one page or counting the same staff time twice.
- Is more content always more expensive?
Additional independently maintained items usually add work. Reusing one approved record in several views can be cheaper than keeping several copies, although building and maintaining that reuse has a cost too.
- Does deleting content save money?
It can, if the content has little value and can be removed safely. Retirement itself needs care: redirects, records, dependencies and user needs may remain.
- Will AI make content much cheaper?
AI can reduce production costs and make research, quality control and maintenance faster and more efficient. Human judgement and accountability still matter, and savings can be diluted if teams use the extra capacity simply to produce more.
Learn more
- Establishing true cost of ownership of your content operations – Arcast looks beyond software fees to the costs of training, support, maintenance and eventual retirement, helping you see what a content operation needs over its whole life.
- Content operations: your cost-saving and scaling opportunity – A marketing practitioner explores how clearer ownership and better workflows can reduce duplicated work and slow approvals, making room for growth without simply adding more production.