A strange new trend is showing up across LinkedIn: companies are bragging that their teams do not know how to code. They present it as a selling point, as if replacing technical skill with plain-language prompts gives customers an advantage. In reality, it often means the person building the website or application does not understand the system they are creating. Vibe-coding and Prompting can produce output, but output is not expertise. A senior developer understands architecture, performance, security, accessibility, integrations, maintainability, failure points, and the long-term consequences of technical decisions. That depth matters even more now because AI can generate code that looks convincing while hiding serious problems beneath the surface.
That is dangerous for clients because technical output without strategic experience can create the illusion of progress. A company may receive a website that looks finished, has working pages, and checks a few surface-level boxes, but still fails to support the business. Without strategic experience, the team behind the work may not know how to structure the site around buyer intent, prioritize the right services, write content that supports search and sales, guide users toward action, or choose a technical foundation that will hold up over time. AI can fill a page with words and generate code that runs, but it cannot replace the judgment required to connect the website to the client’s actual goals. That is where the risk becomes real. Clients may pay less upfront and still end up with a site that creates confusion, attracts the wrong leads, performs poorly, or requires rebuilding by someone who understands both strategy and execution.
The risks of everyone trying to use AI to create websites
A business owner can generate a rough website concept in an afternoon. A marketer can ask AI for landing page copy, FAQ ideas, ad campaign variations, and blog outlines. A developer can generate code snippets, troubleshoot errors, and test technical approaches faster than before. A designer can explore layout directions, visual references, and content structures with less friction.
But that speed creates a real problem.
When almost anyone can produce a basic website, draft website copy, or generate a first version of a page, it becomes easier for inexperienced providers to sell work they do not fully understand. The surface of the work may look complete. The page may have sections, headlines, buttons, forms, and modern visuals. But underneath that surface, there may be no real strategy, no understanding of the buyer, no clear content hierarchy, no technical plan, and no connection between the website and the business result the client actually needs.
That is where AI becomes dangerous in the wrong hands. It allows people with very little experience to move faster than their judgment can support. They can produce more, publish more, and present more without knowing whether the work is good, whether it is structurally sound, or whether it will create problems for the client later. A website built this way can look polished while still being strategically weak, technically fragile, and ineffective as a sales tool.
This is the part business owners need to take seriously. AI makes it easier for people with almost no experience to create something that looks like a professional website. It does not give them the strategic experience required to make that website effective. Without professional guidance, the quality suffers. The business may end up with generic messaging, weak page structure, poor platform decisions, unclear calls to action, thin content, and a site that has to be rebuilt once the lack of experience becomes obvious.
The value of professional website work can no longer rest on production alone. The real value is in judgment, strategy, positioning, messaging, user experience, platform decisions, technical structure, and long-term business fit. AI can produce output. It cannot replace the experience required to know what should be built, why it should be built, how it should function, and how it should support the client’s business.
Sure, AI can lower some costs, but it can also cost you.
AI can accelerate repetitive tasks. But it cannot take responsibility for whether the final website supports the business.
For years, many websites were sold as a list of deliverables. A business paid for a homepage, service pages, an about page, a contact page, a blog, a few forms, a CMS, and maybe a handful of integrations. The work had value because producing those items required technical knowledge, design experience, and time.
AI has changed part of that equation. It can now do all of that, and it's going to replace the web designers who can't provide strategy work. A website provider who mainly installs a theme, adds plugins, fills in pages, and launches a site will be replaced by a provider who understands business goals, customer behavior, search intent, content hierarchy, conversion strategy, and long-term maintainability.
And if a website goes down the wrong path, all of that work done without a strategy will have to be redone, costing the business owner more.
Sure, AI can produce more content than you know what to do with.
AI can generate a large amount of website content quickly.
A company can create service pages, landing pages, blog posts, email sequences, product descriptions, FAQs, and social media drafts faster than ever. That sounds helpful, but more content does not automatically lead to a good content strategy. AI content is often excessive and lacks clear direction or focus. When you need it to be concise, it will skip important details.
Without direction, AI-generated content often becomes repetitive, vague, and disconnected from how real buyers make decisions. It can describe services without differentiating the company. It can create pages that sound polished but say very little. It can produce calls to action that exist on the page but do not support the sales process. It simply does not know the business as well as the business owner and their partners do.
A website needs a clear content strategy first.
Visitors need to understand who the company helps, what problem it solves, why it is credible, what makes it different, what happens after they make contact, and what action they should take next.
AI can help draft possible answers. A human strategist needs to decide which answers make sense.
Experience and strategy should lead AI, not the other way around
AI works best when it operates inside a clear strategic framework.
Without that framework, AI tends to follow the prompt, fill gaps with generic assumptions and biases, and produce content that sounds acceptable but sounds like generic AI and lacks business-specific insight.
A business website requires decisions before execution. AI can assist with each of these areas, but it should not make the decisions. The strongest results come when an experienced person gives AI a clear role inside a larger process.
One of the biggest dangers lately is how AI is affecting how people think, and are influenced.
Read: Stanford University: The 2026 AI Index Report
Read: How Artificial Intelligence Shapes How We Think, Act, and Connect
AI does not have the full context.
AI can process information quickly, but it lacks real-world lived experience and knowledge of the business and how it operates.
Experienced website professionals bring that context into the project.
They understand that a website is not only a collection of pages. It is a business tool that has to support how people evaluate, trust, and contact a company.
That human-led judgment affects the entire project. It affects how well conversions are made, how the site performs, scales, and is maintained.
Generic Websites Will Become Easier to Spot
AI-built websites can look acceptable at first glance.
They may have clean layouts, polished headlines, service sections, stock-style imagery, FAQs, testimonials, and contact forms. They may look complete. They may even launch quickly.
The weakness usually appears in the details.
The messaging sounds like every competitor. The service pages do not match buyer intent. The calls to action are too generic. The site structure does not support SEO. The content does not answer real sales questions. The company’s strongest differentiators are buried or missing. The CMS is either too rigid or too loose. The design looks modern, but does not guide the visitor toward a decision.
That kind of website may exist, but it may not perform.
AI will increase the number of websites that look finished but lack strategic depth. This will make a strong strategy more valuable, not less.
AI Should Make Agencies Better
AI can give web professionals more leverage. It can speed up research, create first drafts, generate technical examples, compare platform options, build component variations, and test ideas. Used well, AI helps an agency spend less time on repetitive tasks and more time on decisions that affect business results.
That is the right use of AI in web design and development. The wrong use of AI produces generic websites more quickly. Business owners should be wary of any provider that treats AI as a shortcut to discovery, planning, content direction, design judgment, SEO thinking, accessibility, technical decisions, and careful implementation.
A serious website project still needs experienced people asking questions.
What is the business trying to become?
Which customers matter most?
Which services are most profitable?
Which pages need to rank?
Which content needs to persuade?
Which parts of the current site are creating friction?
Which platform will create fewer problems later?
Which decisions will make the website easier to manage after launch?
AI can help produce options. A strong agency decides which options are right for the business.
AI-produced websites expose the need for strategic work
Websites used to be sold as a list of deliverables from a qualified professional who knows how to implement the work. But if AI can do the work for anyone, web designers need to start offering real, strategic value that AI cannot provide. LLMs like ChatGPT will agree with the user on most things. What I've found is that if you tell it part of the story, it will agree. If you give it more information, it will suggest something new. If you keep pressing it, it will agree again. You'll never reach full strategic guidance because it lacks real-world lived experience. The insights into your audience, people's design preferences, and website behavior and functionality are all human-led.
Business owners need a clear path that helps prospects understand the company, trust the offer, and take action. They need content that answers user questions, supports search visibility, and strengthens the company’s authority. They need a way for the right people to update the right content without having to call a developer for every small change. They need a technical and content foundation that helps search engines understand the website and helps visitors find useful information.
Working with AI to implement, code, provide solutions, and use it for DIY projects is making it clearer that, for a website, a human is needed for strategy.
A generic AI-built website can look acceptable at first glance and still fail because the message sounds like every competitor, the page structure does not match buyer intent, and the calls to action do not support the sales process.
The real value of strategic work
As AI becomes more common, business owners will see a wider gap between websites that were produced quickly and websites that were planned carefully.
The difference will show up in the copy, structure, user experience, conversion paths, CMS setup, technical foundation, and the site's long-term maintainability.
Decisions need to be made about what to emphasize, what to remove, how to explain the offer, how much detail a buyer needs, when to ask for action, and how content should scale over time. AI can support those decisions by pulling up research and examples, but it should not be trusted to make them without real human oversight.
The stronger the strategy, the more useful AI becomes. The weaker the strategy, the faster AI can produce the wrong thing.
The future of websites is all about strategy
AI will continue to lower the effort required for certain website content and repetitive coding tasks. Planning is more important now because AI can more quickly steer a project in the wrong direction when the strategy is unclear.
This should help business owners recognize the true value of professional website partners.
A website partner should help with positioning, page strategy, content hierarchy, conversion-focused calls to action, performance-conscious development, CMS selection, content modeling, integration planning, accessibility, analytics, and long-term maintainability.
A good web development agency should know which platforms are the best fit for a project. They should understand when Shopify, Webflow, a headless CMS, Astro, Storyblok, or another platform better fits the business need.
We quickly steer a project in the wrong direction. The value is in choosing the right approach for the company’s goals, resources, content, internal team, and growth plans.
How to value strategic website work
AI is changing the economics of website production.
When basic production took longer, the project budget was allocated to tedious coding or data-driven work. Now, more of the value should go into makin the website work.
That means we should focus on a better strategy, stronger content, better design, better platform decisions, improved performance, cleaner editing experiences, better website accessibility, and stronger long-term maintainability.
For business owners, this should be good news. You can expect more from your website investment. You can ask sharper questions. You can move away from platform decisions made out of habit. You can choose the tools, structure, and team that support your business goals.
The companies that benefit most from AI are those that use strategy with it to communicate clearly, build trust quickly, guide visitors with purpose, and use the right technology to drive real business growth.
The market will eventually separate people who can ask AI for something from people who know whether the result is any good. As more companies rely on AI without solid technical expertise, senior web strategists and web developers providing more value will become harder to find. Their value will come from knowing what to build, what to avoid, how to structure it correctly, and how to protect the business from cheap work that later becomes expensive.
