Will AI replace Web Developers?
On paper, AI could touch ~93% of the work in Web Developers — and unlike most jobs, it's already showing up in the real workday, not just the theory.
O*NET-SOC 15-1254
How your 23 core tasks split
Top = what GPT-4 judged AI could speed up. Bottom = how much AI was actually used for these tasks (Anthropic's March 2026 report, usage from Aug & Nov 2025). The gap is the real story.
Back in 2023, GPT-4 judged AI could, in theory, assist with a high share of this job's tasks (~93%). By late 2025, real-world AI use had reached about 48% of its task activity (already common). The gap between that 2023 forecast and today is the real story.
Where this job sits among 738 jobs
Each dot is one of 738 U.S. jobs. Right = AI can do more of it. Up = AI is actually used more.
The signals here line up
Theoretical reach (~93%), real-world use (~48%) and the task-level picture mostly agree — so this read is more reliable than for jobs where the signals contradict each other. Even so, AI-risk estimates shift by model (a 2026 study saw the "high-risk" share swing 2.7%–51.5%), so treat these as directional, not destiny.
See all 23 tasks, ratedBased on real task-level AI scores — click to collapse
- Write supporting code for Web applications or Web sites.
- Design, build, or maintain Web sites, using authoring or scripting languages, content creation tools, management tools, and digital media.
- Back up files from Web sites to local directories for instant recovery in case of problems.
- Select programming languages, design tools, or applications.
- Evaluate code to ensure that it is valid, is properly structured, meets industry standards, and is compatible with browsers, devices, or operating systems.
- Develop databases that support Web applications and Web sites.
- Perform Web site tests according to planned schedules, or after any Web site or product revision.
- Perform or direct Web site updates.
- Analyze user needs to determine technical requirements.
- Respond to user email inquiries, or set up automated systems to send responses.
- Renew domain name registrations.
- Communicate with network personnel or Web site hosting agencies to address hardware or software issues affecting Web sites.
- Document test plans, testing procedures, or test results.
- Establish appropriate server directory trees.
- Recommend and implement performance improvements.
- Document technical factors such as server load, bandwidth, database performance, and browser and device types.
- Develop or implement procedures for ongoing Web site revision.
- Create Web models or prototypes that include physical, interface, logical, or data models.
- Provide clear, detailed descriptions of Web site specifications, such as product features, activities, software, communication protocols, programming languages, and operating systems software and hardware.
- Evaluate or recommend server hardware or software.
- Maintain understanding of current Web technologies or programming practices through continuing education, reading, or participation in professional conferences, workshops, or groups.
- Confer with management or development teams to prioritize needs, resolve conflicts, develop content criteria, or choose solutions.
- Collaborate with management or users to develop e-commerce strategies and to integrate these strategies with Web sites.
- ⚠️ None — every core task is at least partly within AI's reach. The job won't vanish, but almost all of it changes.
How we measured this — and how fresh it is
AI's theoretical reach data: 2023
From GPTs-are-GPTs (Eloundou et al.), where GPT-4 rated how much of each task an AI tool could meaningfully speed up. This is the most recent open, commercially-usable occupation-level potential dataset — it dates to 2023. Newer multi-model re-runs exist but swing wildly (one 2026 study saw "high-risk" jobs range 2.7%–51.5% by model) and aren't openly licensed, so we show the stable 2023 baseline and pair it with newer real-world data.
Real-world AI use 2026 report
From the Anthropic Economic Index, which observes how real Claude conversations map onto each occupation's tasks. Published in Anthropic's March 2026 labor-market report, based on usage measured in Aug & Nov 2025 (Sonnet 4 / 4.5).
Task list & ratings O*NET 30.3
Tasks come from O*NET 30.3. Each task's "AI can do / speeds up / still on you" tier uses the real task-level exposure scores from GPTs-are-GPTs (E1 / E2 / E0) — not a guess from keywords.
Sources: O*NET 30.3 (CC BY 4.0) · GPTs-are-GPTs (MIT, 2023) · Anthropic Economic Index (CC BY, Aug & Nov 2025). Page compiled June 2026. "O*NET" is a trademark of the U.S. Department of Labor.
This page is for general informational purposes only and is not career, financial, or employment advice. AI exposure reflects research estimates of task overlap, not predictions about any individual's job, employer, or future employment.