A recent survey and freelance market data reveal a major shift in website development, with over half of small business owners adopting AI website builders, leading to a steep fall in freelance coding job postings and high satisfaction with DIY AI-generated websites.
- Freelance website coding jobs dropped more than 55% since 2024
- 53% of surveyed US entrepreneurs use AI website builders with high satisfaction
- Business owners save average of $850 and 32 work hours per project
What happened
From mid-2024 to late 2026, freelance job postings related to website development plummeted sharply, with declines of around 55-59% noted across website design, PHP, WordPress, and HTML roles on major freelance platforms. This trend aligns with survey data showing that 53% of American small business owners have adopted AI website builders, significantly reducing their need to hire professional developers.
Why it matters
This shift underscores a broader democratization of website creation, where AI-powered tools empower non-technical small business owners to develop and manage their web presence independently. The drastic fall in freelance web coding gigs indicates a structural change in the freelancing market, particularly within programming jobs focused on routine website development tasks.
High satisfaction rates—72% strongly approve and 97% at least moderately satisfied—demonstrate that AI tools effectively meet the needs of many businesses. Beyond website creation, 94% of users continue employing AI technologies for ongoing business activities, with reported gains in visitor traffic and revenue. However, the reduced demand for freelance coding may pressure developers to adapt or pivot toward more complex or specialized projects.
What to watch next
As AI website builders become more sophisticated and widespread, monitoring the freelance technology job market will be crucial to understand the lasting impact on web developers’ employment opportunities. It is also important to observe whether AI adoption expands beyond website design into traditionally less automated areas like hosting and infrastructure tasks.
Business attitudes toward AI transparency and trust will shape the next phase; currently, only half of users disclose their sites’ AI origins to customers, reflecting cautious acceptance of this technology. Future developments may focus on balancing AI efficiency with human oversight and maintaining ethical considerations around AI-generated digital content.