AI Automation Index

Will AI Replace Web Administrators?

Task-level automation exposure for Web Administrators: 35 O*NET tasks scored against their work activities, plus the simulator.

E-E-A-T Verified

Developed & audited by Gini Loh

Automation Exposure

66% weighted task index

35 of 35 tasks scored

Median Salary

$116,580 / year

BLS OEWS, May 2025 — this exact occupation

Employment Level

Very High

435,370 people hold this job — size, not growth

Projected 2025–35

+5.1% employment change

27,000 openings a year · BLS line item

Pay by state

BLS OEWS publishes 54 state estimates for this occupation. Each is its own survey estimate, not the national median adjusted for local prices.

$60,470 – $156,590

Highest medians

District of Columbia $156,590

Maryland $144,680

Colorado $139,580

Virginia $139,030

Delaware $137,470

Lowest medians

Puerto Rico $60,470

Tennessee $76,470

Guam $76,770

Louisiana $77,000

North Dakota $78,330

State figures come from the 15-1299 row in the May 2025 state panel. States where the estimate was suppressed or too small to publish are absent.

What the score is made of

Each task is mapped to its work activities, scored for AI automation potential, and weighted by how important those activities are to the job. These are the components.

Automation potential 66%

Importance-weighted mean of the scored tasks. This is the headline index.

Physical work 5%

Share of weighted tasks in hands-on or machine-operating work activities.

Judgment & influence 46%

Share in analysis, decisions, teaching, directing, advising, or caring for others.

Routine administration 14%

Share in documenting, recording, and administrative activities.

Rewritten by O*NET 0%

Share of weighted tasks O*NET rewrote in a recent update. Reported, not folded into the score.

Consequence of error 15/100 Low

O*NET's own rating of how serious an uncorrectable mistake would be here — respondents, not us. Deliberately not in the index: the score measures what AI can do with the task content, and multiplying it by stakes would be our judgment dressed as data.

Constituent Task Mix

35 tasks for this occupation, weighted by work-activity importance. Shares below are of total task weight, not task count.

High exposure (≥ 60% of the task is automatable) 84%

29 tasks

Medium exposure (≥ 35%) 16%

6 tasks

Low exposure (below 35%) 0%

0 tasks

How would you survive?

Move your week away from the high-exposure tasks and toward the ones that need judgment. The simulator recalculates the index as you shift the mix.

Simulate Upskilling →

Constituent Tasks

#14734 · Core · 74% automatable

Monitor systems for intrusions or denial of service attacks, and report security breaches to appropriate personnel.

data analysis — AI monitors digital security logs and alerts

Monitor the security of digital information. Collaborate with others to resolve information technology issues.

#14741 · Core · 72% automatable

Identify or document backup or recovery plans.

text generation — Draft operational procedure documentation

Maintain contingency plans for disaster recovery. Document operational procedures.

#14731 · Core · 73% automatable

Back up or modify applications and related data to provide for disaster recovery.

data analysis — Backup configuration largely automatable with oversight

Modify software programs to improve performance. Create electronic data backup to prevent loss of information.

#14758 · Core · 66% automatable

Correct testing-identified problems, or recommend actions for their resolution.

decision support — Drafts sound recommendations; human validates against real systems

Resolve computer software problems. Recommend changes to improve computer or information systems.

#14748 · Core · 70% automatable

Identify, standardize, and communicate levels of access and security.

text generation — AI drafts security policies; human approves

Develop computer or information security policies or procedures.

#14732 · Core · 60% automatable

Determine sources of Web page or server problems, and take action to correct such problems.

decision support — Software troubleshooting aided but human verifies

Resolve computer software problems.

#14740 · Core · 53% automatable

Implement updates, upgrades, and patches in a timely manner to limit loss of service.

decision support — Security implementation needs human judgment and deployment

Implement security measures for computer or information systems. Maintain computer networks to enhance performance and user access.

#14735 · Core · 60% automatable

Implement Web site security measures, such as firewalls or message encryption.

decision support — Security implementation needs human judgment and deployment

Implement security measures for computer or information systems.

#14737 · Core · 62% automatable

Collaborate with development teams to discuss, analyze, or resolve usability issues.

decision support — IT troubleshooting collaboration well-supported by AI

Collaborate with others to resolve information technology issues.

#14750 · Core · 55% automatable

Test issues such as system integration, performance, and system security on a regular schedule or after any major program modifications.

data analysis — AI interprets test output; human executes tests

Test computer system operations to ensure proper functioning.

#14756 · Core · 78% automatable

Perform user testing or usage analyses to determine Web sites' effectiveness or usability.

data analysis — Web analytics computation and interpretation

Analyze website or related online data to track trends or usage.

#14753 · Core · 78% automatable

Document application and Web site changes or change procedures.

text generation — Draft operational procedure documentation

Document operational procedures.

#14749 · Core · 78% automatable

Track, compile, and analyze Web site usage data.

data analysis — Web analytics computation and interpretation

Analyze website or related online data to track trends or usage.

#14738 · Core · 63% automatable

Test backup or recovery plans regularly and resolve any problems.

text generation — Contingency plans drafted; organizational ownership human

Maintain contingency plans for disaster recovery. Resolve computer software problems.

#14751 · Core · 61% automatable

Recommend Web site improvements, and develop budgets to support recommendations.

decision support — Drafts sound recommendations; human validates against real systems

Manage budgets for appropriate resource allocation. Recommend changes to improve computer or information systems.

#14733 · Core · 80% automatable

Review or update Web page content or links in a timely manner, using appropriate tools.

text generation — Website content updates automatable

Update website content.

#14743 · Core · 35% automatable

Install or configure Web server software or hardware to ensure that directory structure is well-defined, logical, and secure, and that files are named properly.

physical manipulation — Software install often needs hands-on machine access

Install computer software. Install computer hardware.

#14744 · Core · 75% automatable

Gather, analyze, or document user feedback to locate or resolve sources of problems.

text generation — Document routine operational activities from inputs

Analyze data to identify or resolve operational problems. Document operational activities.

#14762 · Core · 68% automatable

Set up or maintain monitoring tools on Web servers or Web sites.

text generation — Web app code generated; design and review human

Design websites or web applications.

#14739 · Core · 80% automatable

Monitor Web developments through continuing education, reading, or participation in professional conferences, workshops, or groups.

information retrieval — AI scans trend sources; human weighs relevance

Update knowledge about emerging industry or technology trends.

#14759 · Core · 75% automatable

Develop or document style guidelines for Web site content.

text generation — Draft procedure docs from described process

Develop specifications or procedures for website development or maintenance. Document design or development procedures.

#14745 · Core · 70% automatable

Develop Web site performance metrics.

data analysis — IT performance metrics well-suited to AI

Develop performance metrics or standards related to information technology.

#14742 · Core · 50% automatable

Collaborate with Web developers to create and operate internal and external Web sites, or to manage projects, such as e-marketing campaigns.

interpersonal — Strategy collaboration needs human buy-in and judgment

Collaborate with others to develop or implement marketing strategies.

#14746 · Core · 68% automatable

Identify or address interoperability requirements.

data analysis — IT resource sizing from requirements; human approves

Identify information technology project resource requirements.

#14754 · Core · 70% automatable

Develop or implement procedures for ongoing Web site revision.

text generation — Web spec drafting well-suited to AI

Develop specifications or procedures for website development or maintenance.

#14761 · Core · 63% automatable

Check and analyze operating system or application log files regularly to verify proper system performance.

data analysis — Diagnoses operational problems from data; human acts

Test computer system operations to ensure proper functioning. Analyze data to identify or resolve operational problems.

#14755 · Core · 63% automatable

Provide training or technical assistance in Web site implementation or use.

decision support — Software support is largely diagnosable with human review

Train others in computer interface or software use. Provide technical support for software maintenance or use.

#14764 · Core · 65% automatable

Evaluate testing routines or procedures for adequacy, sufficiency, and effectiveness.

text generation — AI drafts testing routines; engineer verifies coverage

Develop testing routines or procedures.

#14752 · Core · 70% automatable

Inform Web site users of problems, problem resolutions, or application changes and updates.

decision support — Software support is largely diagnosable with human review

Provide technical support for software maintenance or use.

#14747 · Core · 78% automatable

Document installation or configuration procedures to allow maintenance and repetition.

text generation — Draft operational procedure documentation

Document operational procedures.

#14763 · Core · 65% automatable

Develop testing routines and procedures.

text generation — AI drafts testing routines; engineer verifies coverage

Develop testing routines or procedures.

#14765 · Core · 72% automatable

Test new software packages for use in Web operations or other applications.

data analysis — AI can run and analyze software performance tests

Test software performance.

#14760 · Core · 42% automatable

Develop and implement marketing plans for home pages, including print advertising or advertisement rotation.

decision support — AI drafts campaigns; execution and budget owned by humans

Implement advertising or marketing initiatives.

#14757 · Core · 70% automatable

Evaluate or recommend server hardware or software.

decision support — Software utility evaluation aided by research and testing

Evaluate utility of software or hardware technologies. Provide recommendations to others about computer hardware.

#14736 · Supplemental · 45% automatable

Administer internet or intranet infrastructure, including Web, file, and mail servers.

decision support — AI configures/diagnoses networks; physical and risky changes need humans

Maintain computer networks to enhance performance and user access.

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Community Sentiment

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Method

How this was scored

1. Tasks. O*NET task statements for this occupation, from a release whose newest record is dated 08/2026.
2. Work activities. Each task maps to 1–5 Detailed Work Activities; each activity belongs to one of 41 Generalized Work Activities that O*NET rates for importance (1–5) in this occupation.
3. Automation potential. Every work activity carries one score for how far current AI can perform it end-to-end. Tasks inherit the mean of their activities.
4. Weighting. Task weight = 0.35 + 0.65 × (importance − 1)/4, scaled by how often the task is performed and by 0.7 for Supplemental tasks. Importance is the task's own O*NET rating where it exists (18,369 of 18,838 tasks); the rest inherit their work activities' importance. The index is the weighted mean.

Check: across the 910 occupations where O*NET also rates how far machine speed sets the pace, this index moves opposite to it (Spearman ρ = -0.49). The more a job is paced by equipment, the less of its task content AI can address — the relationship you would expect if the scoring is working.

Sources · O*NET 31.0 (task records to 08/2026) · BLS OEWS May 2025 · BLS projections 2025-2035 · rubric v2.1 · tasks for O*NET, not a forecast

See the full method →

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