Key Takeaways
- AI can speed up web development by handling repetitive tasks, such as drafting code or writing unit tests, but it shouldn't replace human expertise. Overreliance on AI can lead to a soulless user experience that fails to connect with visitors.
- AI-generated code often misses the nuances required for accessibility, creating barriers for users with assistive technologies. Human oversight is crucial to ensure a site is truly inclusive and navigable for everyone.
- Accepting AI-generated code without a thorough review can lead to “code bloat” and a messy back end. This technical debt slows down your site's performance and creates long-term maintenance problems that are costly to fix.
- Use AI as a tool to generate proofs of concept and handle mundane tasks, freeing up your Developers to focus on creative, strategic challenges. This approach ensures a high-quality final product that is rooted in real user needs.
Listen: Remarkable ways to avoid web design mistakes from AI overuse.
AI makes building a website faster and easier than ever. Yes, it’s a major leap in efficiency, but if you lean too hard on automation, your site can quickly lose the thoughtful human touches that people rely on. The real pitfall isn’t just an impersonal vibe: it’s winding up with a site that’s confusing, frustrating, or even unusable for real visitors. That’s why finding the right balance between smart tools and hands-on expertise matters so much.
The true cost of soulless user experiences
When websites are generated primarily by AI, they almost always hit the “average zone.” The tools that we have available today can readily create a site that technically works, but feels flat and disconnected, missing those small, human moments that breathe life into a digital space. In its pursuit of prompt satisfaction, unattended AI automation will strip out the nuances that make a site genuinely engaging. Without careful attention to the details, like thoughtful micro-interactions or intuitive feedback for users (or as our design team puts it, details meant to “delight” visitors), the overall experience ends up feeling soulless. Users might not be able to articulate what’s missing, but they can sense when a site lacks warmth, intention, and a sense of being crafted for real people. That’s the real cost I notice with AI overuse: the site functions, but it doesn’t connect.
When we rely entirely on algorithms to design our user interfaces, the results often feel too rigid or too loose without human-in-the-loop refinement. AI tools implement micro-interactions poorly or apply them to completely irrelevant elements, especially without incredibly exact prompts. This leads to a clunky user journey, where animations and transitions feel out of place rather than intuitive. The outcomes are not entirely dissimilar from asking a User Experience Design student to take over the responsibilities of a Senior UX Designer.
A truly engaging website relies on empathetic design choices that anticipate user needs. It requires more than an understanding of UX principles. It needs to understand cultural expectations, common industry themes, and the basic needs and capabilities of your user base or customers. AI cannot generate true next steps for web content or user experience design innovation. It can build a structure, but it takes a skilled Designer to breathe life into the framework. In 2004’s I, Robot, Detective Spooner asks Sonny, “Can a robot write a symphony? Can a robot turn a canvas into a beautiful masterpiece?” Sonny responds by asking, “Can you?” It’s a clever retort, but the implication is incorrect. Spooner’s job isn’t to write a symphony. It’s to be a detective, and he’s very good at that, just as a talented composer is at writing a symphony—or a UX Designer is at crafting elite experiences. Today’s AI is fully capable of composing music, to extend the reference, but we rapidly identify those creations by the same name: AI slop.
Missing the mark on accessibility
From my own work with accessibility audits and site reviews, I’ve seen how quickly AI-generated code can create challenges for people who rely on assistive technology. AI can generate code at lightning speed, but it tends to miss the subtle context that makes all the difference for real users. For instance, cases where AI overuses or misapplies ARIA (Accessible Rich Internet Applications) roles, which don’t just clutter the markup; they actively confuse screen readers and make the site harder to navigate. These missteps aren’t minor; they can turn what should be an inclusive experience into a frustrating one for anyone using keyboard navigation or screen readers. Despite all of our advances in accessibility compliance in the last two decades, the promise of accessible design still cannot be fulfilled by automation alone.
Accessibility requires a deep understanding of human challenges. AI might create index loops on keyboard navigation, leaving users trapped on a single page element. It struggles to create appropriate alt text, getting explicit details of the image right, but often missing the contextual meaning or metaphor of an image entirely.
When we let AI handle accessibility compliance without review and additional testing, we exclude a significant portion of our audience and introduce problems that could go unresolved. Human Developers must step in to ensure that code structure logically supports assistive devices and provides an equitable experience for everyone.
How AI overconfidence leads to technical debt
I’ve found that AI’s confidence can be as risky as it is impressive. More than once, I’ve seen tools start out incredibly effective and churn out code that looks polished, but a closer look reveals significant gaps. A major one is blindness to the way all the pieces of a codebase actually connect. This is especially true in large projects where the AI’s context window limits its ability to have a holistic view. The problem compounds as projects span multiple resources or repositories. When teams go all-in on these automated outputs without careful review, you end up with backends that are messy and fragile. This isn’t just about a bug here or there; it’s technical debt—the kind that piles up quietly and will cost real time and resources to fix later. I’ve had to help untangle projects like this, and it’s never a quick job. Trusting AI too much without human checks creates long-term problems that are far tougher to solve than getting it right the first time.
A major challenge in web development is that AI tools will confidently write code that ignores internal APIs or existing database structures. This generates broken links, failed system integrations, and a backend that becomes incredibly difficult to straighten out and simplify later.
Every time Developers accept AI-generated code without thoroughly vetting it, they borrow against their future time. This technical debt compounds, forcing teams to spend hours debugging and rewriting architecture that should have been structured correctly from the start.
The impact of code bloat on performance
Trusting AI without verifying the AI code often results in bloated, complex sites that struggle to perform well. Pages bog down with unnecessary or redundant scripts, making even simple actions feel sluggish for users. In some cases, automated tools can layer on so much extra code that page load times fall well below acceptable standards. AI tends to generate solutions without considering long-term performance or user experience—it’s resolving your prompt in the moment. Ignoring these slowdowns isn’t just a technical flaw; it’s a direct hit to your site’s reputation and your users’ satisfaction.
Search engines and users alike demand fast, responsive websites. AI-generated sites and content will ultimately fail to help your rankings because they lack information gain. Google and other platforms are already marking down AI-generated slop media, text, and page templates that do not add unique value.
Heavy, bloated code forces browsers to work harder than necessary. By stripping out unnecessary scripts and streamlining the codebase, human developers ensure the website remains lightning fast and highly responsive.
Actionable tips for functional, user-friendly websites
The best results come when AI is treated as a helpful partner rather than a replacement for human judgment. Here’s what works for Web Teams: use AI to handle the repetitive or time-consuming parts of a project, like drafting initial code scaffolding or generating documentation. But don’t hand over the keys. Every automated output gets reviewed, tested, and refined by someone on the team. When possible, the team should spend time together in a review so that there is a shared understanding of what their AI tools are good and bad at.
When we are in the early phases of working on our websites, I encourage the team to leverage AI for generating proofs of concept. These quick prototypes can help to generate feedback earlier, spark new ideas and conversations, and accelerate iteration. AI excels in this role. Just remember to clearly state to stakeholders that any AI-generated prototypes are neither finished nor production ready; resist the “good enough, ship it” mentality and reserve time to complete features to your standards.
I also recommend freeing up your talented developers by using AI from mundane tasks such as writing unit tests or boilerplate code. This lets your team focus on the creative and strategic challenges that really move a project forward. You want to create a smart balance, where AI serves as an assistant and not the architect, so you keep quality high and the final product rooted in real user needs.
Keeping humans in the loop
There’s simply no substitute for having real people involved at every stage of the process. You can use AI to speed up those routine, repetitive tasks, but make sure that the team’s energy stays focused on the complex, specialized work that really shapes a website’s quality. In every project, human oversight is what catches subtle errors and maintains the high standards I expect. Without it, it’s far too easy for AI to make the kind of contextual mistakes that only become obvious down the road. By insisting on hands-on review, especially from senior developers working alongside junior team members, I’ve seen firsthand how much better the outcomes are. It’s this human touch and critical thinking that ensure the final product meets both technical benchmarks and user expectations.
This collaborative approach ensures that automation supports the team rather than replacing critical thinking. Senior developers must review the code of junior developers who use AI, ensuring they understand what the tool is doing and why specific changes are necessary, otherwise nobody is learning or growing.
By maintaining strict review processes, you protect your site from the blind spots of artificial intelligence. Your team can move faster without sacrificing the integrity of the final product.
Prioritizing original content and information gain
A website’s true value comes from the originality and creativity behind it—not just from how quickly or efficiently it was built. Simply put, it’s the honest expertise and fresh insight you bring that set your site apart from a sea of sameness. If your content isn’t adding something new, something uniquely yours, it’s just another drop in the online ocean. I always encourage teams to invest in real information gain: contribute new ideas, genuine stories, or meaningful analysis that people can’t find anywhere else. That’s what drives both user engagement and lasting relevance.
Focus on sharing your team's genuine expertise. When you prioritize original, creative work, you build a digital presence that search engines reward and users trust. Good SEO strategies are simply good business.
The way forward
AI is transforming web development in powerful ways, but real success comes only when human insight stays at the center of the process. Every truly effective website relies on hands-on expertise to catch what automation missed, and to ensure the end result actually resonates with people. Automation can speed things up, but it can’t replace thoughtful judgment, creative thinking, and a genuine understanding of users’ needs. When we combine smart tools with skilled oversight, the result isn’t just efficient—it’s meaningful, accessible, and built to last.
About the author
I am a career web developer who's been building sites since the dark ages of the 1990s, but eventually chose to major in theatre in college. What I did know then was that having some hard skills to fall back on would be really important, since I like doing things like… eating. I've worked on small sites, big sites; I was Director of Web Marketing for Pittsburg State University, and now I work with my team at Aquent building sites that help other people find jobs, and companies find employees. I place a hard emphasis on human-centered design, accessibility, and user experience. That's all a pretty cool, I think. I've written a book, spoken at events from the US to Europe, and generally like helping out other web folks be better web folks. Sometimes I succeed, but I try to have fun the whole time.
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