Artificial intelligence (AI) has emerged as a transformative force for writers and designers, but the very mention of AI as a writing tool incites fighting words.
We started with that same mindset.
As AI began seeping into writing and design, Broad Nib Creek Studio stood firm, holding the line against using AI tools in our work. We were purists, anti-AI writers who insisted that allowing machines to suggest ideas or — gasp — actually develop a marketing plan was nothing short of heresy.
Then came the realization: we had been using early forms of AI for years. Our text messages were autocorrected. We asked Siri pressing questions and relied on real-time translation services. We had been using AI all along.
Now, we increasingly integrate more advanced AI tools into daily workflows to enhance productivity and innovation. Doing so has forced us to consider — and sometimes reconsider the pros and cons of using AI in our work.
The Pros of AI Tools Integration
One of the most compelling advantages of AI in creative work is efficiency. The dreaded writer’s block no longer looms across desks, inhibiting initial concepts. Instead, we can generate a quick outline or expand a point. Our writers and designers can generate ideas, drafts, and visuals in minutes, freeing up time for what matters most: refinement and strategy.
When speed matters, AI delivers.
Another pro is accessibility. AI assures access to high-quality tools, allowing freelancers and small studios like Broad Nib Creek to compete with larger firms. We benefit from platforms like Canva that incorporate AI features for effortless adaptation. Image refinement also scores big, with more than a dozen AI tools available.
Finally, AI fosters creativity through collaboration. It acts as a brainstorming partner, offering unexpected angles for consideration. Just a novel suggestion can lead to multiple fresh ideas.
The Cons: Challenges and Limitations
Despite the seemingly infinite benefits, AI tools in creative work have notable drawbacks.
A primary— and very valid — concern is the potential erosion of originality. AI outputs often draw from vast datasets, leading to generic or derivative content that eventually becomes AI slop. The journey from brilliant to banal and finally blurry can be compared to making a hundred copies of the same image — but by using the second copy to make the third one, and the third copy to generate the fourth one, and so on. This transmission chain becomes a serial reproduction, regurgitated and diluted until it's a weaker facsimile of the original. The same can happen with AI writing.
More significantly, AI models are trained on existing writing. The letters AI should stand for “artificial imitation.” The tool plagiarizes like a middle school student who procrastinated writing a research paper until the night before it’s due. Several notable lawsuits (Bartz v. Anthropic, New York Times v. OpenAI and Microsoft, Kadrey v. Meta) have been filed against AI companies, primarily accusing them of copyright infringement by using (or "stealing") copyrighted books, articles, and other written works without permission to train their large language models (LLMs).
Quality control is another issue with AI tools, and it shows up in two ways. First, AI can hallucinate facts or generate biased text, requiring human oversight. We fact-check every piece of information included in our writing. For us, no proof means no inclusion. Secondly, certain AI tools excel in specific niches but falter in nuanced storytelling, sometimes producing unnatural prose. Phrases like “in the fast-paced world” and “provides valuable insights” are as common as six-fingered humans in AI images, and they stand out just as awkwardly.
Some writers find themselves relying heavily on AI tools for developmental and copy editing. After all, not everyone who can recognize a dangling modifier knows how to fix it. As a result, writers may be tempted to accept every AI suggestion to adhere to writing conventions. While these aids can be helpful, over-reliance on editing tools may undermine a writer’s unique voice and style.
Broad Nib Creek Studio mitigates this by viewing AI as an augmentor, not a replacer, ensuring human touch remains central.
Conclusion
Integrating AI in creative work offers tremendous potential, but it demands balanced adoption.
By weighing pros like efficiency against cons like loss of originality, writers and designers can harness AI responsibly. As tools continue to evolve, the key is human-AI synergy, ensuring creativity and originality thrive in an AI-augmented world.
