Will AI replace Web and Digital Interface Designers?
On paper, AI could touch ~83% of the work in Web and Digital Interface Designers — and unlike most jobs, it's already showing up in the real workday, not just the theory.
O*NET-SOC 15-1255
How your 24 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 (~83%). By late 2025, real-world AI use had reached about 25% 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.
Read this as a range, not a verdict
The signals here partly disagree — AI's theoretical reach (~83%) and its real-world use (~25%) tell different stories. AI-risk scores also shift a lot by which model does the rating (2.7%–51.5% in one 2026 study), so this is a direction of travel, not a fixed answer.
See all 24 tasks, ratedBased on real task-level AI scores — click to collapse
- Devise missions, challenges, or puzzles to be encountered in game play.
- Create core game features, including storylines, role-play mechanics, and character biographies for a new video game or game franchise.
- Develop and maintain design level documentation, including mechanics, guidelines, and mission outlines.
- Provide feedback to designers and other colleagues regarding game design features.
- Provide feedback to production staff regarding technical game qualities or adherence to original design.
- Write or supervise the writing of game text and dialogue.
- Create gameplay test plans for internal and external test groups.
- Provide test specifications to quality assurance staff.
- Balance and adjust gameplay experiences to ensure the critical and commercial success of the product.
- Solicit, obtain, and integrate feedback from design and technical staff into original game design.
- Conduct regular design reviews throughout the game development process.
- Document all aspects of formal game design, using mock-up screenshots, sample menu layouts, gameplay flowcharts, and other graphical devices.
- Create and manage documentation, production schedules, prototyping goals, and communication plans in collaboration with production staff.
- Create gameplay prototypes for presentation to creative and technical staff and management.
- Guide design discussions between development teams.
- Oversee gameplay testing to ensure intended gaming experience and game adherence to original vision.
- Present new game design concepts to management and technical colleagues, including artists, animators, and programmers.
- Prepare two-dimensional concept layouts or three-dimensional mock-ups.
- Keep abreast of game design technology and techniques, industry trends, or audience interests, reactions, and needs by reviewing current literature, talking with colleagues, participating in educational programs, attending meetings or workshops, or participating in professional organizations or conferences.
- Review or evaluate competitive products, film, music, television, and other art forms to generate new game design ideas.
- Collaborate with artists to achieve appropriate visual style.
- Consult with multiple stakeholders to define requirements and implement online features.
- Determine supplementary virtual features, such as currency, item catalog, menu design, and audio direction.
- Prepare and revise initial game sketches using two- and three-dimensional graphical design software.
- ⚠️ 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.