Intelligence Analysts
In short: today's best AI models could do about 55% of this job's working time (projected from METR's April 2026 measurement and Epoch's November 2026 index) if the work were set up for them, and about 87% by the end of 2028 if progress keeps its long-run pace. The people and hands-on work, about 13% of the time, stays with people.
Gather, analyze, or evaluate information from a variety of sources, such as law enforcement databases, surveillance, intelligence networks or geographic information systems. Use intelligence data to anticipate and prevent organized crime activities, such as terrorism.
$93,790 a year (for the broader BLS group this job sits in).
A typical 40-hour week
Not yet reviewed task by task- AI could take on22 h
- A person checks AI's work0 h
- Desk work AI can't do yet13 h
- Stays with people5 h
Intelligence Analysts, now: of a 40-hour week, AI could take on 22 hours, 0 hours become checking its work, 13 hours are desk work it can't do yet, and 5 hours stay with people.
The largest pieces: Gather, analyze, correlate, or evaluate information from a variety of resources, such as law enforcement databases (about 3 h); Analyze intelligence data to identify patterns and trends in criminal activity (about 2 h); Establish criminal profiles to aid in connecting criminal organizations with their members (about 2 h).
Estimates for a typical week of this job, if progress keeps its long-run pace, counting work the best models finish four times in five. Every task is below.
of the working time. Now is projected from METR's April 2026 measurement and Epoch's November 2026 index.
- 87%
- 2%
- 11%
of the work: Anthropic's measure of what people already bring to Claude at work (2025). It counts help with part of a task, so it can be higher than the share within reach.
On the chosen pace and reliability. Estimate.
Share of the working time within reach, now to 2030
Change assumptionsHide assumptionsLong-run pace, four in five
What each choice means: , , , , . Every pace starts from .
At this date and pace, models finish tasks up to 2.4 work days long four times in five.
How far this has come
With GPT-4, measured in March 2023, 0% of this job's working time was within reach at . With Claude 3.7 Sonnet, measured in February 2025, 0%. With Claude Mythos Preview (early), measured in April 2026, 8%. Today's estimate: 55%.
A backcast: today's task data with the best model METR had measured by each date. It shows how fast the models have moved, not what anyone forecast at the time.
Measured use over time
Of the Claude.ai conversations Anthropic sampled and tied to a work task, no reportable share went to this job's tasks in May 2026; 0 of its 21 tasks showed up. Within each of Anthropic's methods, never across a change: 0.092% to 0.072% (released February and March 2025); 0.022% to 0.031% (August 2025 to February 2026).
Each release
| Conversations | Share | Rank | Tasks seen |
|---|---|---|---|
| Released February 2025 | 0.092% | 180 of 708 | 9 of 21 |
| Released March 2025 | 0.072% | 211 of 703 | 8 of 21 |
| The week of Aug 4, 2025 (released September 2025) | 0.022% | 355 of 655 | 4 of 21 |
| The week of Nov 13, 2025 (released January 2026) | 0.026% | 352 of 672 | 6 of 21 |
| The week of Feb 5, 2026 (released March 2026) | 0.031% | 328 of 677 | 5 of 21 |
| April 2026 (released June 2026) | none | n/a | 0 of 21 |
| May 2026 (released June 2026) | none | n/a | 0 of 21 |
Measured, not estimated: Anthropic's samples of Claude.ai conversations, each tied by a model to an O*NET task, from the Anthropic Economic Index. It says where Claude's use goes, not how much of this job's working time it covers, so it is not on the same scale as the reach above. The releases differ in their sample, their classifier and the smallest share they report (the June 2026 file rounds each task to a hundredth of a percent, so a smaller task reads as none), which is why a change of method starts a new line. At least 96% of each older release's task-tied use matched this site's tasks, and all of the newest. Claude.ai only, so use through other tools and other companies' models is not in it. Every job ranked.
Robots and the physical work
Anthropic rates 1% of this job's working time as physical work. For 1% of the working time, a robot has been shown doing most of the task somewhere: 1% in any setting. 0.04 of 3, the 602nd highest of the 923 jobs.
- Not physical 99%
- In any setting 1%
Anthropic's rating, not this site's estimate: Claude Opus 5, searching the web, rated each physical O*NET task by the kind of setting in which a robot it could cite (deployed, sold or demonstrated) does most of the task, weighted by its own estimate of each task's share of the time (What work can robots do?, September 30, 2026, data CC BY 4.0; every job ranked). A robot shown somewhere is not a robot in your building: cost, setup and safety decide that. The share within reach on this page still counts no body work. The robot behind each rated task is under the task below.
The tasks
Sorted by . 21 tasks from .
| Task | Kind | |||
|---|---|---|---|---|
| Gather, analyze, correlate, or evaluate information from a variety of resources, such as law enforcement databases.Done daily by most who do it. | 9% | 3.3 h50 min to 1.3 work days | 80%Half by now | |
| Analyze intelligence data to identify patterns and trends in criminal activity.Done daily by most who do it. | 9% | 5 h1.7 h to 2.5 work days | 67%Half by now | |
| Establish criminal profiles to aid in connecting criminal organizations with their members.Done more than yearly by most who do it. | 9% | 6.7 h1.7 h to 2.5 work days | 55%Half by now | |
| Study activities relating to narcotics, money laundering, gangs, auto theft rings, terrorism, or other national security threats.Done daily by most who do it. | 9% | 6.7 h1.7 h to 2.5 work days | 55%Half by now | |
| Develop defense plans or tactics, using intelligence and other information.Done more than yearly by most who do it. | 8% | 1.7 work days3.3 h to 4.2 work days | 31%Half by Mar 2027 | |
| Prepare comprehensive written reports, presentations, maps, or charts, based on research, collection, and analysis of intelligence data.Done more than monthly by most who do it. | 7% | 1 work day2.5 h to 4.2 work days | 43%Half by Dec 2026 | |
| Evaluate records of communications, such as telephone calls, to plot activity and determine the size and location of criminal groups and members.Done daily by most who do it. | 7% | 5 h1.7 h to 2.5 work days | 67%Half by now | |
| Gather intelligence information by field observation, confidential information sources, or public records.Done daily by most who do it. AI observed on this task. | 6% | 3.3 h50 min to 1.7 work days | Stays with people | |
| Predict future gang, organized crime, or terrorist activity, using analyses of intelligence data.Done more than yearly by most who do it. | 6% | 6.7 h2.5 h to 3.3 work days | 59%Half by now | |
| Design, use, or maintain databases and software applications, such as geographic information systems (GIS) mapping and artificial intelligence tools.Done daily by most who do it. AI observed on this task. | 6% | 3.3 h50 min to 2.1 work days | 63%Half by now | |
| Link or chart suspects to criminal organizations or events to determine activities and interrelationships.Done daily by most who do it. | 5% | 4.2 h1.7 h to 1.7 work days | 86%Half by now | |
| Validate known intelligence with data from other sources.Done daily by most who do it. | 4% | 1.7 h25 min to 5 h | 94%Half by now |
Within reach, per task: the share of the task's time whose instances are short enough for a model to finish at the chosen date, pace and reliability. Half by: the date half of that time comes within reach.
Jobs that share skills with this one
From O*NET's related occupations. Within reach now and by the end of 2028, long-run pace, four in five.
- Digital Forensics Analysts67% now, 98% by 2028
- Private Detectives and Investigators33% now, 69% by 2028
- Detectives and Criminal Investigators69% now, 74% by 2028
- Information Security Analysts52% now, 87% by 2028
- Data Scientists71% now, 95% by 2028
- Fraud Examiners, Investigators and Analysts40% now, 82% by 2028
Where this job works
The industry groups that employ the most of it (BLS, May 2025). Counts are for the broader BLS group this job sits in.
Where the most of these jobs are
The metro areas with the most people in it (BLS, May 2025). Counts are for the broader BLS group this job sits in.
Questions about this job
- How much of the work of Intelligence Analysts is within reach of AI now?
- An estimated 55% of the working time is within reach of AI models now and 87% by the end of 2028, on METR's long-run pace at four in five (83% to 87% across the three paces the site shows). Within reach means a model could finish work that long at that reliability. It is not a forecast of jobs lost or of savings.
- Which tasks of Intelligence Analysts come within reach first?
- Weighted by the time each takes, the tasks with the most within reach now (projected from METR's April 2026 measurement and Epoch's November 2026 index) are: Gather, analyze, correlate, or evaluate information from a variety of resources, such as law enforcement databases (80% of the task's time now, 100% by the end of 2028); Analyze intelligence data to identify patterns and trends in criminal activity (67% of the task's time now, 100% by the end of 2028); and Establish criminal profiles to aid in connecting criminal organizations with their members (55% of the task's time now, 100% by the end of 2028).
- Which tasks of Intelligence Analysts stay with people?
- Tasks that are people work or body work are not counted as within reach at any date. The largest: Gather intelligence information by field observation, confidential information sources, or public records; Operate cameras, radios, or other surveillance equipment to intercept communications or document activities; and Collaborate with representatives from other government and intelligence organizations to share information or coordinate intelligence activities. Together such tasks are about 13% of the working time.
- Do people already use AI for the work of Intelligence Analysts?
- In the Claude.ai conversations Anthropic sampled for May 2026, no reportable share went to this job's tasks. Anthropic's labor market measure puts the share of the job's tasks seen in real Claude use at work at 4%. These are measures of use, not of how much of the work AI could finish, and they cover Claude only.
- Can robots do the physical work of Intelligence Analysts?
- Anthropic's robot exposure rating (September 2026) finds 1% of the working time is physical work, and that a robot has been shown doing most of the task, somewhere, for 1% of the working time, 1% in any setting. Its index is 0.04 of 3. One example: Anduril Autonomous Surveillance Tower (Sentry + Lattice) for "operate cameras, radios, or other surveillance equipment to intercept communications or document activities". A robot shown somewhere is not one in every workplace; this site's own estimates still count no physical work as within reach.
- How is this estimated?
- From the 21 tasks O*NET lists for the occupation, each with an estimated length checked against GDPval and a share of the working time, each classed as desk, people or body work, and METR's measurements of how long a task the best AI models can finish, carried forward to the date from the latest, Claude Mythos Preview (early) in April 2026. Data checked November 10, 2026.
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