I don’t see today’s writers and human content editors as competitors to artificial intelligence (AI) — I see AI as a tool, like the encyclopedia, Roget’s Thesaurus, the Chicago Manual of Style, or the internet. But here’s what all those tools have in common: It’s human writers and AI content editors that use them to make the content worth reading.
Where AI Shines (and Where It Falls Short)
AI shines when the task calls for speed, consistency, and volume. When used properly, AI can be like an assistant that never complains, never loses focus, and always meets a deadline. It can instantly generate the text of full articles and compose emails. It can also take on such perceived mundane editorial tasks as cleaning up grammar, flagging awkward tone shifts, and offering editorial advice.
However, without expert human writers and AI content editors guiding the process, AI can be risky, generating content that can be tone-deaf, bland, and fatally wrong. The result is major problems for those who use it blindly. But even those more mundane editorial tasks that are now given over to AI (and which good human writers and editors have always done), still need humans to review them to see if the suggested changes make sense.
The time saved using AI can be more theoretical than actual. So, too, is the actual time gained to focus on more creative and strategic thinking. According to a JUST Capital report published in July 2026, 34% of workers report that their workload increased after their company introduced AI. Much of that additional work involves checking AI-generated output, correcting errors, and reworking drafts.
AI-Generated Content ≠ AI Content Quality
AI-generated text can be competent by design, but structurally predictable and therefore uncreative. In other words, this is writing that regresses to the mean. It’s writing that’s fine, maybe even competent, but completely forgettable. If left alone, without human intervention, AI content falls very easily into this trap. To put it simply: AI-Generated Content ≠ AI Content Quality.
AI content generation is not the same as writing. It doesn’t understand the content it is generating. AI doesn’t know your audience, your brand, or your intent. It takes experienced human writers and AI content editors to shape prompts and edit outputs with those things top of mind.
I’ve seen AI generate entire paragraphs that sound good but contain hallucinations and errors that would easily undermine an organization’s credibility if they weren’t corrected before they saw the light of day. I’ve seen it flatten a strong brand voice into something that sounds like it was written by committee.
Here’s an example of flattened, committee-written AI-generated text that recalls my earlier days as a PR executive and writer trying to decipher engineer-speak about a new product: “Our innovative, cutting-edge solution empowers organizations to seamlessly leverage synergistic best practices while driving sustainable, scalable outcomes across all stakeholder touchpoints.”
This example should come as no surprise because AI-generated text is built on statistical probability from all of the vast amounts of information that has been fed into the Large Language Model (LLMs), which they use to construct content. This data includes web pages, books and academic data, Wikipedia, and code, according to the research paper “A Survey of Large Language Models.”
In his 2024 essay in The New Yorker entitled Why A.I. Isn’t Going to Make Art, award-winning science fiction writer Ted Chiang looked at how AI works to create text and why this leads to blandness and derivative stories:
“If an A.I. generates a ten-thousand-word story based on your prompt, it has to fill in for all of the choices that you are not making. There are various ways it can do this. One is to take an average of the choices that other writers have made, as represented by text found on the internet; that average is equivalent to the least interesting choices possible, which is why AI-generated text is often really bland. Another is to instruct the program to engage in style mimicry, emulating the choices made by a specific writer, which produces a highly derivative story.”
‘The Great Automatic Grammatizator’
Seventy years earlier, in 1954, Roald Dahl, best known for his 1964 children’s classic, Charlie and the Chocolate Factory, wrote a short story that foreshadowed the concerns of machine writing and to where this technology could lead. In “The Great Automatic Grammatizator,” he wrote about a frustrated aspiring writer who invents an advanced calculating machine that can generate short stories and novels in minutes.
Here’s an excerpt: “He found himself, almost immediately, up against the old truth that a machine, however ingenious, is incapable of original thought … There didn’t seem any way around it. A machine cannot have a brain.”
Here’s another even more telling one from that short story: “Nowadays, … the hand-made article hasn’t a hope. It can’t possibly compete with mass-production … Carpets … chairs … shoes … bricks … crockery … anything you like to mention – they’re all made by machinery now. The quality may be inferior, but that doesn’t matter. It’s the cost of production that counts. And stories — well – they’re just another product, like carpets or chairs, and no one cares how you produce them so long as you deliver the goods.”
And finally: “Who on earth is going to want custom-made stories when they can get the other kind at half the price?”
Human Content Editors Make AI Worth Reading
Unfortunately, today there are companies and executives who have fallen into the trap that writing is just another product and that quality doesn’t matter. That’s why they have embraced AI as not only a short-cut to producing content, but as a reason to cut costs and jobs.
The smart organizations and executives still know the value of good writing, that it has always been and always will be a deeply human act. When I write and edit, I’m not just arranging words; I’m thinking, making decisions, and shaping my thoughts. That process can’t be outsourced to a robot.
Promptness Counts!
The best way to help guarantee content that matches your expectations begins before a single word is generated. It starts with a prompt. And nowhere is the GIGO (Garbage In, Garbage Out) maxim more apparent. Simply put, GIGO means that the output of a system is dependent on the input. If you put garbage in, you will get garbage out. Why would you expect anything else?
Experienced AI writers don’t just ask a model, whether it’s OpenAI’s ChatGPT, Anthropic’s Claude, Google’s Gemini, Microsoft’s Copilot, or another model to “write a blog post.” They tailor their prompts to align with real business goals, the brand’s voice, and the needs of a specific audience. An effective prompt can include context, relevant examples, and necessary keywords while defining the right structure for the content that’s to be generated.
Prompting isn’t guesswork. It’s a valuable skill that has been honed by writers and editors by trial and error over many months or years of working with AI chatbots.
Get the inputs right and the output is already halfway there. But “halfway” is the key word here.
Am I Seeing Hallucinations?
At their worst, AI platforms continue to be plagued by hallucinations — false statistics, invented quotes, or citations that don’t exist. That’s where AI writers and editors move past “halfway” into the next important part of the content creation workflow and where their experience really pays off.
Hallucinations and other statements that have been generated by AI need to be flagged, checked, verified, or debunked. Leaving them unchecked before content is published is embarrassing (at the minimum) or potentially devastating if you are in the legal, financial, or healthcare fields.
Human writers and AI content editors manually check facts, verify every claim, and replace vague generalities with accurate, real-world data. If something doesn’t feel right, they know to correct it by looking for the source or sources that will prove those claims either true or false.
For brands today, controlling their content for truth isn’t a luxury. It’s a requirement for credibility and trust.
Does This Sound Like the Brand?
AI can generate sentences, but it rarely gets the voice right. It often generates safe, bland, or overly formal text that may be technically correct per machine logic, but is emotionally empty, just like the machine that produced it.
Once again, this is an area where the skills of AI writer and editors are invaluable. They manually check facts, verify every claim, and replace vague generalities with accurate, real-world data. If something doesn’t feel right, they know to correct it by looking for the source or sources that will prove those claims either true or false. They adjust the tone and rhythm of the content and choose words to match the brand’s unique personality and target audience — whether it’s sharp and witty; warm and conversational; or expert and reassuring. This may include adding humor and empathy to the content with anecdotes, personal observations, or examples that resonate with the audience on an emotional level. Word choices can be tweaked and sentence structure adjusted to create better rhythm and cadence.
They can also add nuance and complexity to the content. Generative AI text sometimes presents ideas in overly simplistic terms, missing the subtle shades of meaning that humans naturally incorporate into their writing. AI content editors introduce these layers of complexity, acknowledges different perspectives, addresses potential counterarguments, and presents a more balanced view of the subject.
Are We Putting the Brand at Risk?
In highly regulated industries like legal, financial, and healthcare, factual accuracy and compliance aren’t just nice, they are non-negotiable. In this role, AI writers are not just editors but are brand protectors. They are the first line of defense in ensuring compliance and eliminating risk by ensuring that every piece of content is compliant.
AI doesn’t know where the legal or ethical lines are drawn when it generates content, but skilled human writers and editors do. They know how to spot problematic phrasing, unsubstantiated claims, and text that must have a disclaimer in place. They flag sensitive areas and rewrite text to meet compliance standards while preserving clarity. They understand the need to interface with corporate legal departments, take direction, and produce content that will be approved before it is released to the public.
Are We Promoting Bias?
Context, cultural sensitivity, and bias are areas where AI-generated content often falls short. Unfortunately, access to vast amounts of data does not give AI a nuanced understanding of cultural norms, current events, and societal sensitivities. AI content editors must ensure that the content is appropriate and relevant to its intended audience by identifying and removing potentially offensive or insensitive language, adding culturally relevant references, and ensuring that the content makes sense with current events and trends.
Are We Making the Content Findable?
Great content for search today can’t be just readable, it must be findable by the latest technologies.
AI might include keywords, but it doesn’t understand search intent, Google’s ranking dynamics, your market’s competitive landscape, or how search engine optimization (SEO) has expanded to now include answer engine optimization (AEO) and generative engine optimization (GEO). While SEO focuses on improving a website’s visibility in traditional search engine results pages (SERPs), AEO and GEO now focus on optimizing for AI-powered answer engines and voice assistants.
Human writers and AI content editors also play crucial roles in this area of user engagement. They understand the art and science of creating content that appeals to both human readers and search engine algorithms. This involves incorporating keywords and writing search-friendly headings and subheadings to meet SEO requirements while ensuring that the content provides value to the reader.
Human Writers & Editors Make AI-Assisted Content Exceptional
You have seen the logical and methodical approach expert human writers and AI content editors take to deliver publish-ready content. They have checked and corrected the text for factual accuracy, edited it to sound human rather than machine-generated, verified it to make sure it is ethical and compliant, and written it to be SEO-, AEO, and GEO-friendly. This includes clarifying sentence structure, eliminating repetition and bad writing, and adding insight and the personal human elements that are impossible for AI to produce. They align the text with brand voice and add formatting and internal links.
That’s why I say let’s use AI where it makes sense, but it can’t do my thinking for me. It can never replace the human perspective, creativity, and care that makes writing connect with its audience on a human level. That’s what great original writing has always done and that’s what AI-assisted content should do.
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