Design, create, and modify Web sites. Analyze user needs to implement Web site content, graphics, performance, and capacity. May integrate Web sites with other computer applications. May convert written, graphic, audio, and video components to compatible Web formats by using software designed to facilitate the creation of Web and multimedia content.
37 of 37 tasks have some AI capability
Exposure Trend
This score reflects estimated AI technical capability for tasks in this occupation. It does not predict employment changes, and it does not account for company-specific constraints, regulation, or adoption barriers.
Back up files from Web sites to local directories for instant recovery in case of problems.
AI: Fully automatable - Backing up website files to local or remote directories is a routine, well-defined operational task that can be fully automated with scripts and orchestrators guided or created by AI.
Write, design, or edit Web page content, or direct others producing content.
AI: Fully automatable - AI can fully write, design, and edit web page content at production quality and can direct content workflows, making it capable of performing this task end-to-end for most use cases.
Perform Web site tests according to planned schedules, or after any Web site or product revision.
AI: Fully automatable - Scheduled and post-change website testing is highly automatable with test frameworks and AI orchestration, allowing end-to-end automated execution and basic analysis of results.
Monitor security system performance logs to identify problems and notify security specialists when problems occur.
AI: Fully automatable - AI systems can parse and analyze security/performance logs, detect anomalies, and trigger notifications or escalation workflows to specialists.
Respond to user email inquiries, or set up automated systems to send responses.
AI: Fully automatable - AI can compose personalized replies and fully configure and operate automated response systems and workflows end-to-end.
Renew domain name registrations.
AI: Fully automatable - Domain renewals are routine, scriptable operations and with registrar API access and credentials AI can automate renewals entirely.
Document test plans, testing procedures, or test results.
AI: Fully automatable - AI can automatically generate structured test plans from specifications, execute tests via CI, and collate results into documentation, enabling full automation of test documentation.
Establish appropriate server directory trees.
AI: Fully automatable - Establishing server directory trees is a routine, patternable configuration that can be fully automated with scripts, templates, and infrastructure-as-code.
Register Web sites with search engines to increase Web site traffic.
AI: Fully automatable - Registering sites with search engines and submitting sitemaps/metadata is a routine, scriptable process that can be fully automated.
Document technical factors such as server load, bandwidth, database performance, and browser and device types.
AI: Fully automatable - Monitoring tools can collect telemetry for server load, bandwidth, database performance, and device/browser types and AI can automatically summarize and document those technical factors.
Provide clear, detailed descriptions of Web site specifications, such as product features, activities, software, communication protocols, programming languages, and operating systems software and hardware.
AI: Fully automatable - By 2025 AI can generate clear, detailed website specifications from requirements using domain knowledge, templates, and standards.
Evaluate or recommend server hardware or software.
AI: Fully automatable - AI can analyze requirements, benchmarks, costs, and compatibility to evaluate and recommend server hardware and software options.
Create searchable indices for Web page content.
AI: Fully automatable - AI can extract page content, create tokenization/metadata, and build searchable indices and the necessary indexing pipelines automatically.
Install and configure hypertext transfer protocol (HTTP) servers and associated operating systems.
AI: Fully automatable - AI can generate and execute infrastructure-as-code and configuration scripts (e.g., Ansible/Terraform) to install and configure HTTP servers and OS components.
Research, document, rate, or select alternatives for Web architecture or technologies.
AI: Fully automatable - AI can research, document, compare, and rate web architecture and technology alternatives using benchmarks, trade-off analysis, and documented criteria.
Develop system interaction or sequence diagrams.
AI: Fully automatable - AI can automatically produce system interaction and sequence diagrams (UML/Mermaid/etc.) from requirements, code, or natural-language descriptions.
Write supporting code for Web applications or Web sites.
AI: Partial - AI can generate supporting code from specifications and scaffold integrations but typically requires human oversight for context, security, and complex integration issues.
Design, build, or maintain Web sites, using authoring or scripting languages, content creation tools, management tools, and digital media.
AI: Partial - AI can design, build, and maintain many simple to moderate sites using authoring tools and templates, but full design, UX decisions, and long-term maintenance still need human direction and judgment.
Select programming languages, design tools, or applications.
AI: Partial - AI can provide informed recommendations on languages and tools based on constraints and trade-offs but cannot fully make organizationally optimal selections without human decision-making and domain context.
Evaluate code to ensure that it is valid, is properly structured, meets industry standards, and is compatible with browsers, devices, or operating systems.
AI: Partial - AI-driven linters, static analysis, and automated compatibility testing cover many checks, but comprehensive validation against standards and nuanced compatibility issues still benefit from human review.
Identify problems uncovered by testing or customer feedback, and correct problems or refer problems to appropriate personnel for correction.
AI: Partial - AI can triage issues from tests and feedback and often generate fixes, but complex diagnostics, prioritization, and coordination of fixes typically require human judgment or intervention.
Develop databases that support Web applications and Web sites.
AI: Partial - AI can design schemas, generate migrations, and produce database code for typical needs, but requirement elicitation, performance tuning, and architecture trade-offs usually need human expertise.
Perform or direct Web site updates.
AI: Partial - AI can perform routine updates and orchestrate deployments through CI/CD, but coordinating complex updates, approvals, and rollback decisions generally still require human oversight.
Maintain understanding of current Web technologies or programming practices through continuing education, reading, or participation in professional conferences, workshops, or groups.
AI: Partial - AI can continuously monitor publications, summarize trends, and curate learning resources but cannot physically attend conferences or fully replace human networking and tacit learning.
Analyze user needs to determine technical requirements.
AI: Partial - AI can elicit user inputs, synthesize them, and produce draft technical requirements, but lacks full situational judgment and stakeholder negotiation to complete requirement analysis autonomously.
Design and implement Web site security measures, such as firewalls or message encryption.
AI: Partial - AI can design security configurations, generate firewall rules and encryption setups, and produce deployment scripts, but deploying, validating, and taking responsibility for changes in live environments requires human oversight.
Incorporate technical considerations into Web site design plans, such as budgets, equipment, performance requirements, or legal issues including accessibility and privacy.
AI: Partial - AI can analyze budgets, performance data, accessibility and privacy requirements and propose design trade-offs, but legal interpretation and final budgetary/equipment decisions need human responsibility.
Confer with management or development teams to prioritize needs, resolve conflicts, develop content criteria, or choose solutions.
AI: Partial - AI can aggregate data, propose priorities, and draft resolutions to help teams, but cannot fully replace human negotiation, persuasion, and final decision-making in management contexts.
Communicate with network personnel or Web site hosting agencies to address hardware or software issues affecting Web sites.
AI: Partial - AI can detect issues, generate and triage tickets, and draft communications to hosting or network teams, but hands-on troubleshooting and relationship management remain human responsibilities.
Collaborate with management or users to develop e-commerce strategies and to integrate these strategies with Web sites.
AI: Partial - AI can generate e-commerce strategy options and implement technical integration steps, but strategic alignment, stakeholder buy-in, and business decision-making require human collaboration.
Develop Web site maps, application models, image templates, or page templates that meet project goals, user needs, or industry standards.
AI: Partial - AI can generate sitemaps, application models, image and page templates from requirements and standards, but human-led UX research and stakeholder alignment are required to fully meet project goals and user needs.
Develop and document style guidelines for Web site content.
AI: Partial - AI can draft comprehensive style guidelines from examples and industry norms, but organizational decisions, tone choices, and approvals typically require human judgment.
Identify or maintain links to and from other Web sites and check links to ensure proper functioning.
AI: Partial - Automated crawlers and scripts can identify and check links and update internal references, but strategic backlink management and outreach to external sites require human action.
Recommend and implement performance improvements.
AI: Partial - AI can recommend and apply common performance improvements (caching, compression, queries), but deeper performance tuning and trade-off decisions typically require expert human oversight.
Develop or validate test routines and schedules to ensure that test cases mimic external interfaces and address all browser and device types.
AI: Partial - AI and test automation can generate and run cross-browser/device test routines and schedules, but defining adequate coverage and accurately mimicking complex external interfaces often needs human validation and access.
Develop or implement procedures for ongoing Web site revision.
AI: Partial - AI can draft and implement procedural templates and CI/CD workflows for ongoing revisions, but governance, prioritization, and change-control policies require human oversight.
Create Web models or prototypes that include physical, interface, logical, or data models.
AI: Partial - AI can produce prototypes and generate interface, logical, and data models from specifications, but validating physical architectures and nuanced design tradeoffs needs human expertise.