Kaleigh Moore, a seasoned freelance writer and editor with over a decade of experience contributing to prominent publications such as Shopify, Forbes, Vogue, and Adweek, is at the forefront of a significant industry shift, grappling with the dual promise and inherent limitations of artificial intelligence in content creation. In a recent conversation, Moore offered a nuanced perspective on how AI is transforming the landscape for entrepreneurs and writers, emphasizing its power to augment efficiency while cautioning against its inability to replicate human experience, critical thinking, and original research.
Moore, who has spent the past 12 years immersed in the B2B and SaaS sectors, particularly within the e-commerce ecosystem, shared her journey of integrating AI into her workflow. Her early work includes a foundational case study for Shopify featuring Beardbrand, a testament to her long-standing presence in the industry. This extensive background provides a unique vantage point from which to assess the impact of emerging technologies on a profession that has historically relied on human insight and creativity.
The Double-Edged Sword of AI in Writing
The advent of generative AI composition tools, as Moore describes them, presents a compelling proposition for increasing efficiency. "The emerging AI composition tools are incredible; they greatly increase efficiency, especially for the tedious parts of writing, such as e-commerce product descriptions," she stated. This sentiment is echoed across various industries where content generation is a significant operational component. For instance, a report by Statista in 2023 projected that the global AI market in content creation would reach $1.46 billion by 2028, underscoring the rapid adoption and economic significance of these technologies.
However, Moore is quick to draw a crucial distinction between AI-generated content and human authorship. "But remember that AI tools operate on existing information. They are not creating something new. Human composition provides original perspectives – experiences, thoughts, and feelings," she emphasized. This highlights a fundamental limitation of AI: its reliance on pre-existing data. While AI can synthesize vast amounts of information and identify patterns, it lacks the capacity for genuine human experience, lived perspectives, and the serendipitous nature of original thought that often leads to groundbreaking content.
As a journalist, Moore’s commitment to journalistic integrity and original reporting remains paramount. "I want to do my own homework, fact-check, and make sure I’m putting out the best of whatever my name is on," she asserted. This dedication to accuracy and authenticity is a critical differentiator in an era where AI can sometimes produce plausible-sounding but factually inaccurate content, a phenomenon often referred to as "hallucination."
A Generational Divide and the Enduring Value of Human Interaction
Moore also expressed concern about how younger generations are approaching AI tools, particularly in contrast to her own upbringing. "I worry about young people and how they’ll use these tools. I’m 37 years old. I grew up in a largely pre-internet, pre-social media time," she reflected. This historical context informs her perspective on the enduring importance of human interaction. "I hope we always have human experience and interaction – talk to each other, go to coffee. To me, AI is a nice supplement, but it doesn’t replace person-to-person interaction." This point resonates with ongoing discussions about the potential for increased digital isolation and the irreplaceable value of genuine human connection, which is vital for empathy, understanding, and nuanced communication – qualities that are difficult, if not impossible, for AI to fully replicate.
The job market is already reflecting this shift, with employers increasingly seeking candidates with AI proficiency. "It’s been interesting on the hiring side of things. I occasionally look at full-time in-house writing roles. Over the last 18 months, many of those roles have shifted to require AI operational skills, to hop into an AI tool and craft something," Moore observed. This indicates a proactive adaptation by businesses, recognizing the efficiency gains and new skill sets required in a content-driven economy. The implication is that a failure to embrace and understand these tools could lead to professional marginalization.
Despite concerns about a potential "bubble," Moore firmly believes in the long-term impact of AI. "Some people say AI is just a bubble, but I don’t think so. It’s too powerful," she concluded. This perspective aligns with broader economic analyses that predict AI will reshape numerous industries, driving productivity and creating new avenues for innovation.
Empowering Entrepreneurs and Writers with AI: Practical Strategies
For writers and entrepreneurs looking to harness the power of AI, Moore advocates for a structured and informed approach. She likens the daily influx of AI information to a "fire hose," underscoring the need for a discerning and strategic methodology. "A key skill is developing very strong prompts. The more advanced we are at prompting, the better the output," she advised. This emphasis on prompt engineering is crucial, as the quality of AI output is directly proportional to the quality of the input and instructions provided.
Beyond prompt development, a willingness to adapt and learn is essential. "Beyond that, accept a willingness to learn the new functionalities. It can be intimidating, what with all the new tools," Moore noted. This suggests a continuous learning curve for professionals navigating this evolving technological landscape.
Moore’s preferred AI platform is Anthropic’s Claude. She praises its output quality and highlights Anthropic’s commitment to open-source principles, transparency, and ethical considerations, including data privacy. "For me as a writer, Claude is the best. It’s also a great place to start," she recommended. This endorsement is significant, particularly given Anthropic’s stated focus on developing AI systems that are helpful, honest, and harmless.
Generative AI platforms like Claude offer a wide range of applications for entrepreneurs and marketers. These include drafting promotional emails, crafting social media posts, and generating LinkedIn articles. A key feature Moore pointed out is the AI’s ability to learn and mimic a brand’s existing voice and style.
Training AI: The Art of the Detailed Brief
The process of "training" AI to adopt a specific voice and style is analogous to onboarding a new human team member. Moore explains her method: "I’ve been doing it for my own work. I feed Claude good, strong examples of my published articles, case studies, and guides to provide points of reference. It’s akin to informing a new hire, say a junior writer or copywriter."
This involves providing detailed guidelines, including specific dos and don’ts, preferred vocabulary, and stylistic preferences. "The aim is supplying a lot of very specific guidelines. Lots of dos and don’ts. Use this word; don’t use this one. Input it once, and the AI never forgets, unlike humans. And I can update it over time, which is essential," she elaborated. This persistent memory, when coupled with clear instructions, allows AI to maintain brand consistency across various content outputs.
However, Moore cautions against overwhelming the AI with excessive information. "Although more examples are not always better. AI can get confused by too much information." She suggests starting with a focused dataset, such as a user’s top 10 tweets, combined with general instructions on preferences. This approach ensures clarity and prevents the AI from becoming mired in conflicting signals.
For entrepreneurs seeking to generate content, such as a blog post, the level of detail in the prompt directly correlates with the quality of the output. "Say a merchant wanted to publish a blog post. I would enter a full brief, such as the targeted keyword, the audience, brand names to avoid, and data sources to cite. There’s quite a bit of heavy lifting involved just getting that prompt ready," Moore explained.
While a basic prompt might yield a decent result, a comprehensive brief significantly elevates the outcome. "Certainly, the merchant could give it a paragraph and request a 500-word blog post on X for this audience. She would get a pretty good output. But give it the full brief, and she will likely receive a much better result, requiring little editing or tweaking," she stated. This highlights a strategic choice: invest time in crafting a detailed prompt upfront, or spend more time editing the AI-generated content later.
The Imperative of Fact-Checking and Human Oversight
A critical concern that Moore raises is the propensity of AI to "hallucinate" – to generate fabricated information or cite non-existent data. "For me, editing AI text usually comes down to my writing preferences, though much of it is fact-checking. AI hallucinates; it makes stuff up. It will cite data that doesn’t exist," she warned. This underscores the indispensable role of human editors and fact-checkers in the AI-assisted content creation process. The responsibility for verifying the accuracy of any AI-generated claims remains firmly with the human user.
Furthermore, AI’s inability to conduct primary research, such as interviewing experts or gathering firsthand accounts, remains a significant limitation. "Moreover, AI cannot interview or speak with an expert. We have to integrate those afterward," Moore noted. This means that content requiring original insights, expert opinions, or qualitative data still necessitates human involvement in the research and interviewing phases. The AI can then be used to synthesize and structure this human-gathered information, but it cannot replace the core investigative process.
Staying Connected with Kaleigh Moore
For those interested in learning more about Kaleigh Moore’s insights and expertise, she maintains an active online presence. Her professional website is KaleighMoore.com, and she can also be found on X (formerly Twitter) and LinkedIn. These platforms serve as valuable resources for staying updated on her perspectives regarding the evolving landscape of freelance writing and AI integration in content creation. Her continued engagement with these topics suggests a commitment to navigating and shaping the future of the industry with a blend of technological adoption and unwavering professional standards.
