AI content has quickly become one of the most talked-about developments in the world of digital creation. From businesses and marketers to writers and creators, Artificial Intelligence is transforming the way content is produced. These tools can draft, research, and optimise at an unprecedented scale, offering opportunities to streamline workflows and improve efficiency.
At its core, AI-generated content refers to text, images, videos, or other media created using machine learning models and algorithms. These tools analyse vast amounts of data, identify patterns, and produce outputs that mimic human-like creation. Whether it’s generating blog outlines, writing first drafts, or producing visual assets, AI promises faster, more efficient processes that enable creators to focus on high-value work.
However, the rise of AI in content creation has also sparked considerable debate. Questions around quality, authenticity, and the role of human creativity remain central to the discussion. For some, AI is a powerful ally that enhances productivity and unlocks new creative possibilities. For others, it raises concerns about generic outputs, loss of originality, and its broader impact on the creative landscape.
To dig deeper into this topic, we posed the question: “AI Content: Is it good, bad, or ugly?” on SourceBottle, a platform for gathering expert insights. We received responses from over 30 professionals across a wide range of industries, including marketing, insurance, construction, legal, and psychology.
The result is a comprehensive exploration of AI’s role in content creation—its benefits, its shortcomings, and its potential for the future. In the sections that follow, we’ll highlight their perspectives, uncovering the opportunities and challenges AI presents. A full citation list at the end of this article will include details about each contributor.
AI is undeniably reshaping the way we approach content creation, but is this shift for better or worse? Let’s dive into what the experts had to say.
The Good: How AI Enhances Content Creation
As businesses and creators adapt to the evolving content landscape, AI has emerged as a powerful tool that enhances productivity, creativity, and personalisation. Its strength lies in its ability to streamline workflows, inspire ideas, and support human ingenuity—allowing content creators to focus on higher-value tasks while delivering better results.
Efficiency and Time Savings
One of AI’s most significant contributions to content creation is its ability to save time and increase efficiency. By automating repetitive tasks, AI tools enable creators to produce content faster without compromising quality.
Alexander Weber highlights this advantage, sharing how AI reduced his content preparation time by 40% through a hybrid approach. By using AI for research and outlining, Weber could dedicate more time to adding unique insights and personal touches to his work. Similarly, Joy Corkery found that AI tools can reduce tasks like content outlining, research summaries, and first-draft creation by 50-70%—a crucial benefit for smaller teams working under tight deadlines.
Loris Petro further emphasises AI’s role in streamlining processes. While AI can quickly produce drafts or data-driven outputs, Petro underscores the importance of human oversight to ensure factual accuracy and alignment with a brand’s voice.
The true value of AI lies in its ability to handle the heavy lifting of repetitive tasks—freeing up time for content creators to focus on strategy, storytelling, and creativity.
Brainstorming and Idea Generation
For many creators, the hardest part of content creation is getting started. AI helps overcome this hurdle by acting as a brainstorming partner—organising thoughts, surfacing ideas, and uncovering opportunities that might otherwise be overlooked.
Matt Farnham views AI as a valuable tool for sparking ideas and structuring thoughts, providing a strong foundation for more polished, original content. Josh Qian agrees, describing AI as “invaluable” for generating initial ideas that can later be refined with human creativity to ensure they resonate on a personal level.
Will Shaw takes this a step further, using AI not just for written content but to create tools and interactive charts that elevate content beyond the basics. By feeding data into AI tools, Shaw builds features like golf performance scorecards and interactive product reviews—assets that provide real value to audiences and set his content apart.
Supporting Creativity and Personalisation
AI’s ability to streamline repetitive tasks doesn’t just improve efficiency; it also empowers creators to focus on customisation and creativity.
For Ebony Coatsworth, AI should enhance a creator’s work, not replace it. “If people can tell you’ve used it, you haven’t used it correctly,” she explains, highlighting the importance of integrating AI outputs seamlessly into content. The goal is to use AI as a support tool while maintaining originality and ensuring content aligns with brand voice.
Nicole Greentree echoes this sentiment, emphasising that AI excels at tasks like product descriptions and SEO — areas where speed and consistency matter most. However, she points out that AI outputs still require human refinement to add the necessary flair, personality, and nuance.
From saving time to inspiring creativity, AI enhances content creation in ways that allow businesses and creators to scale their efforts while maintaining quality. When used as a tool to support human ingenuity—not replace it—AI can unlock new opportunities for efficiency, innovation, and personalisation in the content we create.
The Bad: Where AI Content Falls Short
While AI has proven its value in enhancing efficiency and sparking creativity, it is not without its shortcomings. When used poorly or relied upon too heavily, AI content often lacks the depth, authenticity, and precision that human creators bring to the table. These limitations highlight the ongoing need for human oversight and creative input.
Lack of Authenticity and Personal Voice
One of the primary criticisms of AI-generated content is its tendency to feel generic or impersonal. Content that lacks a distinctive voice or storytelling depth struggles to connect with audiences, no matter how technically accurate it might be.
Kerrie Brooks observes this issue firsthand, noting that AI-written content often feels like a bland amalgamation of existing information. It lacks the richness of storytelling and personal insights that give content its character and impact. Similarly, Alex Killingsworth points out that while AI is efficient, it cannot replicate the beauty of well-crafted sentences. For writers who take pride in their craft, this loss of creativity and emotional resonance is a significant drawback.
Content that fails to showcase an authentic voice runs the risk of blending into the noise, offering little value to readers who crave originality and human connection.
Nuance and Emotional Intelligence
AI content also struggles to convey the emotional intelligence required to engage audiences on a deeper level. While AI can generate factually accurate and structurally sound content, it often lacks the ability to capture subtle nuances, empathy, or a brand’s unique tone.
Deepak Shukla highlights this limitation, noting that AI, in its current form, cannot replicate the nuanced, empathetic touch that human writers bring. Content that resonates—whether through humour, inspiration, or relatability—requires an understanding of emotional triggers that AI struggles to emulate.
Lauren Hamilton takes this further, explaining that AI content may “tick the boxes” for keywords and factual accuracy but often falls short in creating an emotional response. True engagement, she argues, comes from content that stirs feelings like hope, joy, or curiosity—qualities that remain difficult for AI to achieve.
For brands that rely on emotional connection to build trust and loyalty, AI’s inability to convey these nuances can limit its effectiveness.
Accuracy and Over-Reliance
AI’s reliance on existing datasets means it is not always equipped to produce content with the precision required in certain industries. This is particularly evident in fields that demand accuracy, compliance, and up-to-date information.
Michael Benoit highlights the risks within the insurance industry, where regulations and policies are often complex and vary by region. AI-generated content, if not carefully reviewed, can easily miss critical details or produce misleading information—posing significant risks for businesses operating in sensitive or highly regulated environments.
Jayant Surana echoes this concern, sharing his experience in industries like THC products. Without proper oversight, AI can produce content that is inaccurate or non-compliant with legal standards. Relying solely on AI can damage credibility, alienate audiences, or, in worst cases, lead to legal consequences.
These limitations serve as a reminder that AI, while powerful, is not a standalone solution for content creation. Content lacking authenticity, nuance, or accuracy risks falling flat, no matter how efficiently it was produced. The key is to use AI as a support tool—enhancing processes while ensuring human oversight maintains the quality, depth, and emotional connection that truly engage audiences.
The Ugly: Over-Reliance and Cookie-Cutter Content
While AI holds immense potential for content creation, its misuse or over-reliance can lead to significant downsides—most notably the proliferation of generic, uninspired content and the spread of inaccuracies. These risks highlight the importance of human judgement, creativity, and ethical considerations in AI-driven workflows.
The Risk of Generic, ‘Average’ Content
One of the greatest concerns with AI-generated content is its tendency to produce material that is, at best, “average.” By design, AI pulls from existing data, learning from patterns to create outputs that sit comfortably in the middle of the spectrum. As Chris Ridings puts it, AI often creates “average” content because it is trained on vast amounts of human-written material, leading to a lack of originality.
This can make AI-generated content functional but uninspiring, blending into the noise of an already crowded digital landscape. Richard Sharrock points out that while AI-generated outlines can provide a solid foundation, the writing itself must remain human to stand out. True quality comes from personal experience, storytelling, and a distinctive voice—elements AI alone cannot replicate.
Lauren Hamilton adds that an over-reliance on AI-driven tactics, such as keyword-stuffed content, can harm SEO performance. Google’s algorithms continue to prioritise content that provides value and demonstrates originality, experience, and relevance. Churning out AI-produced material without refining it for quality or user intent risks diminishing your site’s credibility and search rankings over time.
In short, content that prioritises speed and convenience over quality risks becoming “cookie-cutter” material—technically correct but devoid of impact. To succeed, AI must complement human expertise, not replace it.
Potential for Misinformation and Ethical Issues
Another “ugly” side of AI content creation is its potential to spread misinformation or perpetuate biases. AI tools rely on the data they are trained on, which means they can unintentionally reinforce inaccuracies, outdated ideas, or societal biases.
Chai Bade warns of the dangers that come with unreviewed AI outputs. Without human oversight, AI can produce content that is misleading, inaccurate, or even ethically problematic. For industries that demand precision, like legal, medical, or regulated markets, these mistakes can have far-reaching consequences.
Dr. Herman highlights the need for transparency in using AI to build trust. As AI becomes more prevalent, audiences must be aware of its role in content creation, ensuring honesty and accountability. While AI is a powerful tool, relying on it blindly undermines trust and raises ethical questions. As Dr. Herman explains, transparency is critical—but unfortunately, it cannot always be guaranteed in today’s digital world.
The risks of over-reliance on AI content are clear: generic, uninspired material and the potential spread of misinformation can harm brands, reputations, and user trust. AI is a tool that requires thoughtful, responsible use. By combining its efficiency with human oversight, creativity, and ethical judgement, content creators can avoid the pitfalls of cookie-cutter outputs and ensure their work is valuable, accurate, and impactful.
The Future: How to Use AI Effectively
As AI becomes more embedded in content creation, the focus must shift from whether it should be used to how it can be used effectively. The future belongs to those who view AI not as a replacement for human creativity but as a tool to amplify it. By adopting a hybrid approach, prioritising innovation over imitation, and mastering AI tools with skill and intent, creators can unlock the full potential of this technology.
The Hybrid Approach: “AI + Human” Wins
The most effective use of AI lies in a balanced, collaborative approach—one that leverages AI for efficiency while relying on humans for creativity, storytelling, and refinement.
Alexander Weber describes this as the “AI Plus” approach: using AI for research, data analysis, and initial drafts, but enhancing the output with personal insights, case studies, and storytelling. This hybrid model ensures that content is not only efficient but also engaging and valuable.
V. Frank Sondors supports this philosophy, sharing how combining AI’s efficiency with human creativity consistently delivers the best outcomes. In one case, AI reduced email production time by 50%, but the addition of manual edits ensured the tone aligned with brand values—highlighting the importance of human oversight.
For industries that demand precision and empathy, like law, Gordon Hirsch advocates a similar strategy. AI can create educational materials such as blog posts and FAQs, helping simplify complex legal topics. However, as Hirsch points out, these outputs must be reviewed by human experts to ensure accuracy, emotional intelligence, and relevance to the audience.
The future of AI content creation is not about choosing sides—it’s about collaboration. AI lays the groundwork, while human creativity builds something truly exceptional on top of it.
Focus on Innovation, Not Imitation
AI’s ability to process vast amounts of data makes it an incredible tool for innovation, but it requires thoughtful application to stand out. Creators must focus on using AI to elevate content, not simply reproduce what already exists.
Will Shaw demonstrates this perfectly by using AI to build tools and interactive features, such as performance scorecards and data-driven tables, that provide real value to users. This approach moves beyond basic content production, positioning AI as a catalyst for innovation rather than imitation.
Loris Petro adds that rigorous fact-checking and alignment with brand values are critical to ensuring AI outputs remain accurate, unique, and impactful. Blindly publishing AI-generated content runs the risk of producing cookie-cutter material that fails to connect with audiences.
By focusing on originality and utility, creators can use AI to push the boundaries of what content can achieve.
Skillful Use of AI Tools
The effectiveness of AI ultimately depends on the skill of the person using it. Successful content creation requires a clear understanding of how to harness AI without sacrificing authenticity or creativity.
Nicole Greentree underscores the importance of creator skill, explaining that AI can streamline repetitive tasks, but the real magic happens when human judgement refines and personalises the output. For Greentree, the creator’s expertise determines whether AI enhances content or dilutes it.
Sue Ellison offers a similar perspective, cautioning against overcomplicating the process or letting AI override a creator’s unique voice. AI should be seen as a supportive tool—one that helps generate ideas, improve efficiency, and organise thoughts, but never fully replaces the human touch that makes content memorable.
Mastering the Hammer
AI is a tool—like a hammer—but its impact depends entirely on how it is wielded. A hammer can build, repair, or destroy; it is the skill and intent of the user that makes all the difference. AI content creation follows the same principle.
When used thoughtfully, AI has the power to enhance workflows, inspire new ideas, and scale creative efforts. However, its true potential lies in balancing automation with originality, creativity, and quality. Those who master this balance—combining the precision of AI with the nuance of human expertise—will lead the way in the future of content creation.
The next era of content creation is not about humans versus AI. It’s about recognising AI as an ally—a tool that, when wielded with purpose, enhances creativity, drives innovation, and elevates the quality of the content we create.
Conclusion: AI and the Next Era of Content Creation
AI’s role in content creation is undeniably transformative, offering opportunities to improve efficiency, spark creativity, and streamline workflows. However, as explored throughout this discussion, AI content can be good, bad, or downright ugly—it all comes down to how it’s used.
When used thoughtfully, AI is not a replacement for human creativity but a powerful tool to amplify it. It excels at handling repetitive tasks, generating ideas, and building a foundation upon which human expertise can thrive. The key lies in striking the right balance: leveraging AI’s strengths while ensuring content retains authenticity, emotional nuance, and the unique voice that audiences connect with.
A persistent myth I’d like to address here is the claim that Google prefers human-written content. This simply isn’t true. During August 2024, when much of the SEO community saw their sites penalised or deindexed for misusing AI content, Digimark’s results painted a different picture. By using AI responsibly—creating content that was fact-checked, original, and genuinely useful to the audience—Digimark’s AI-generated pages outperformed even our own human-written content. Google doesn’t care whether content is produced by a person or a machine; it rewards quality content that meets the searcher’s intent effectively and efficiently.
To demonstrate this further, this very article was written with the help of AI. It pulls together insights and comments from a variety of contributors across industries, presenting a range of perspectives in an organised and cohesive way. Yet, what makes it valuable isn’t the AI alone—it’s the input, refinement, and human judgement that shaped it into something meaningful and insightful.
The future of content creation belongs to those who can master this balance—using AI as a tool to innovate and scale, while ensuring the content retains the qualities that make it uniquely human: creativity, quality, and connection.
“The future of content creation will belong to those who know how to use AI as a powerful ally while maintaining authenticity, quality, and a human connection.”
AI is here to stay, but its success depends on how we wield it. It’s not the tool that matters—it’s how you use it.
Contributors
Alexander Weber
- Role: Author, Entrepreneur, and Social Media Influencer
- Website: axlek.de
- Key Insight: Alexander emphasises the importance of treating AI as a collaborative tool, highlighting his “AI Plus” approach, which combines AI for research and drafting with human expertise to create authentic and engaging content. He shared how this strategy reduced content preparation time by 40% and increased reader engagement by 32%.
Emily Harridge
- Role: Creative Director at Virtual Playground
- Website: virtualplayground.com.au
- Key Insight: Emily highlighted how AI-generated content is reshaping the creative landscape, particularly in visual production. At Virtual Playground, AI tools streamline workflows, offering cost-effective alternatives to traditional photoshoots and enabling brands to experiment with customised visuals and video. However, she underscores that human expertise remains essential to ensure the content is tailored, impactful, and aligned with brand messaging.
Paul DeMott
- Role: CTO at Helium SEO
- Website: helium-seo.com
- Key Insight: Paul describes AI content as a “force multiplier” when used correctly, especially for small teams competing with larger players. AI’s greatest strength lies in its efficiency—processing data and generating keyword-rich outlines or ad copy quickly, freeing teams to focus on strategy and client interactions.
Kerrie Brooks
- Role: Owner and Head Copywriter at KB Copywriting
- Website: kbcopywriting.com.au
- Key Insight: Kerrie believes AI content alone lacks credibility and storytelling depth, making it obvious to readers. However, she sees value in using AI for ideation or research, provided the output is refined, fact-checked, and enriched with unique human insights and storytelling.
Chris Ridings
- Role: Founder at The Crawl Tool
- Website: thecrawltool.com
- Key Insight: Chris views AI as a source of inspiration rather than a final solution. While AI can produce “average” content by default, it excels when used to improve clarity, add insights, or refine ideas. He warns of the risks of cookie-cutter outputs saturating the internet, as audiences increasingly learn to recognise and disregard generic AI content.
Michael Benoit
- Role: Founder at California Contractor Bond & Insurance Services
- Website: contractorbond.org
- Key Insight: Michael highlights the challenges of AI in nuanced industries like insurance, where state-specific regulations and complex requirements demand precision. While AI is helpful for initial drafts, over-reliance risks inaccuracies. At his firm, all AI content is carefully reviewed by experts to ensure accuracy and maintain trust.
Deepak Shukla
- Role: CEO at Pearl Lemon
- Website: pearllemon.com
- Key Insight: Deepak views AI as a powerful tool for streamlining workflows and enhancing efficiency but warns it must not replace human creativity. He highlights AI’s limitations in emotional intelligence and authenticity, emphasising that human oversight is essential to ensure content aligns with a brand’s voice and mission. The future, he believes, lies in balancing AI capabilities with human creativity.
Chai Bade
- Role: Founder of The Bunch Up, Swezo, and Digi Marketers
- Website: thebunchup.com.au
- Key Insight: Chai describes AI as a double-edged sword, enhancing efficiency and scalability while generating localised, personalised messages. However, he cautions against over-reliance, which risks creating content that lacks nuance and emotional intelligence. Misinformation and ethical lapses are also key concerns, underscoring the importance of responsible AI use.
Sue Ellson
- Role: Author, Poet, and Independent LinkedIn Specialist
- Website: sueellson.com
- Key Insight: Sue notes that while AI can make content “word perfect,” it often results in bland, overly polished writing that loses authenticity. She advises creators to avoid over-reliance, which can lead to procrastination and a loss of unique voice, and instead use AI as a helpful tool to complement human creativity.
Matt Farnham
- Role: Marketing Leader and 2024 AMI Marketing Excellence Future Leader of the Year Award Recipient
- Website: movebank.com.au
- Key Insight: Matt finds AI useful for brainstorming and organising thoughts but warns it often produces structured yet predictable content that lacks originality. He advises always editing AI outputs to add personal perspective, noting that AI struggles to create content that feels truly fresh or groundbreaking.
Deyan Georgiev
- Role: Marketing Expert at RapidSeedbox
- Website: rapidseedbox.com
- Key Insight: Deyan describes AI-generated content as both “cool and annoying.” While it speeds up simple tasks, he finds it lacks personal voice and uniqueness. For Deyan, AI is a useful tool for quick drafts but requires human revision and creativity to make the content engaging.
Richard Sharrock
- Role: Content Strategist at Sood Agency
- Website: sood.agency
- Key Insight: Richard uses AI to create content structures and outlines but prefers writing content himself to ensure it is unique and useful. He finds that AI-generated writing often feels repetitive, using common patterns and phrases, which can dilute the quality of the final output.
Ebony Coatsworth
- Role: Social Media Executive
- Website: Ebony Coatsworth
- Key Insight: Ebony sees AI as a powerful tool but believes its success depends on how well it is used. She advocates for mastering AI tools, ensuring that the output feels human and authentic, stating that if people can tell content is AI-generated, it hasn’t been used correctly.
Gordon Hirsch
- Role: Managing Attorney at Hirsch Law Group
- Website: hirschlawgroup.com
- Key Insight: Gordon uses AI to create educational materials like blogs and FAQs to demystify legal services. However, he stresses the need for expert review to ensure content is accurate, empathetic, and aligned with client needs.
Dr. Herman
- Role: Multi-Book Author, Consultant, and Global Change Agent
- Website: Dr Herman
- Key Insight: Dr. Herman advocates for transparency in AI usage. While AI enhances efficiency, he believes human expertise must be prioritised to ensure quality, credibility, and meaningful insights. He urges readers to approach AI content with caution and critical judgment.
Wesley Littlefield
- Role: Marketing Manager at Anglers
- Website: anglers.com
- Key Insight: Wesley highlights the importance of authenticity, particularly for niche audiences like anglers. While AI streamlines processes, it often fails to connect emotionally. At Anglers, every piece of AI-generated content is reviewed to ensure personality and expertise resonate with their audience.
Lauren Hamilton
- Role: Head of Marketing at Smart Commercial Solar
- Website: smartcommercialsolar.com.au
- Key Insight: Lauren warns that AI-generated content often lacks emotional connection and originality. She also raises concerns about outdated AI-driven SEO tactics, stressing the importance of creating quality, engaging content that resonates with audiences.
Clare Jones
- Role: Outreach Manager at Custom Neon
- Website: customneon.com.au
- Key Insight: Clare supports AI for enhancing efficiency in tasks like bulk content creation, SEO optimisation, and product descriptions. However, she stresses the importance of balancing AI’s speed with human oversight to ensure accuracy, tone alignment, and E-E-A-T compliance. For Clare, AI serves as a strong foundation but must always be refined for quality and uniqueness.
Will Shaw
- Role: Founder at Golf Insider
- Website: golfinsideruk.com
- Key Insight: Will sees AI as an essential tool for survival in content creation but believes the real value lies in elevating content through innovation. By leveraging AI to build interactive tools, charts, and tables, Will avoids generic outputs and adds unique value. He remains cautious about the future of content but sees opportunities for those who use AI wisely.
Loris Petro
- Role: Marketing Manager at Kratom Earth
- Website: kratomearth.com
- Key Insight: Loris embraces AI for its ability to streamline processes and produce content quickly but emphasises rigorous fact-checking to maintain accuracy and credibility. He stresses the importance of reviewing AI-generated content for tone and audience alignment, ensuring it feels authentic and consistent with the brand’s values.
Joy Corkery
- Role: Head of Content at Latana
- Website: latana.com
- Key Insight: Joy highlights AI’s ability to accelerate content production in B2B marketing, reducing tasks like research and drafting by up to 70%. However, she notes that AI requires continuous refinement and customisation to meet niche audience needs. Joy uses AI as a starting point for ideas and outlines, layering in technical details and industry-specific context for impactful, insight-driven content.