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Professionals · code 2421

Management and organization analysts

AI can map the process and write the report. Getting the organisation to change is still consulting.

AI could take a fair chunk of three of the nine tasks, led by analysing workflows, records and job descriptions and writing new procedures. Talking to staff and shaping strategy are mostly out of its reach.

What they actually do (and what else they get called)

Management and organization analysts assist organizations to achieve greater efficiency and solve organizational problems. They study organizational structures, methods, systems and procedures. Tasks include - (a) assisting and encouraging the development of objectives, strategies and plans aimed at achieving customer satisfaction and the efficient use of organizations’ resources; (b) analysing and evaluating current systems and structures; (c) discussing current systems with staff and observing systems at all levels of organization; (d) directing clients towards more efficient organization and developing solutions to organizational problems; (e) undertaking and reviewing work studies by analysing existing and proposed methods and procedures such as administrative and clerical procedures; (f) recording and analysing organizations’ workflow charts, records, reports, manuals and job descriptions; (g) preparing and recommending proposals to revise methods and procedures, alter work flows, redefine job functions and resolve organizational problems; (h) assisting in implementing approved recommendations, issuing revised instructions and procedure manuals and drafting other documentation; (i) reviewing operating procedures and advising of departures from procedures and standards. Examples of the occupations classified here: - Business consultant - Management consultant - Organization and methods analyst Some related occupations classified elsewhere: - Business analyst (IT) - 2511

  • business consultant
  • business intelligence manager
  • business analyst

Job titles from the EU's ESCO list. Search for any of them on the jobs page and you'll end up here.

54 / 100

Changing significantly

AI could do a real share of the everyday tasks. The job is changing shape, not vanishing.

Not the odds you keep your job. It's how much of the everyday work still needs a person, out of 100.

← Robot's turf Human's turf →

The ILO's official verdict: Exposed: Gradient 2

359 of 427 for holding up against AI

Why this score?

The ILO rated each of this job's 9 tasks for how much of it AI could do. They average 46 out of 100, so it holds up at 100 − 46 = 54.

That's the whole sum. No black box, no secret sauce: you can check it against the ILO's study. ILO group “Exposed: Gradient 2”: A good share of the tasks are affected.

This job rates 20.2 out of 100 for how hands-on it is. The score above only looks at AI tools, not robots, but for work this far from the physical that matters less.

from the source Working Paper 140, Generative AI and Jobs 2025 index data 0.8-observed-use

Man v Bot · compare

Who holds up better?

Management and organization analysts 54

v

Go on, try your partner's job. Or your sibling's. We won't tell.

Man v Bot

Where the bot helps, and where the human wins

Bot

What AI takes

The routine stuff. You may not miss it.

  • Process mapping and documentation.
  • Analysis and reports.
  • Procedure manuals.

Man

What people still do better

Judgement, trust and skilled hands. Hard to download.

  • Talking to staff and observing work.
  • Getting leaders to agree.
  • Making change stick.

Both

What's arriving

New work that only exists because the AI does.

  • AI transformation projects.
  • Redesigning work around AI.
  • Smaller consulting teams.

Written by a human, from the ILO's task ratings below. Yes, we see the irony. Read it as one person's take.

Meet your two rivals

They're not the same machine. AI software can only reach the parts of a job done on a screen or in words. A chatbot can't climb a ladder. A robot might, one day, if it doesn't fall off.

The AI

Lives in a screen. Never had to fix a boiler.

Threat level: Medium

45 could do without you

It could take over some of the work, and help with more. It could help with 72 of 100.

The robot

The wildcard. Has hands, still working out stairs.

How much it matters here: Lower

20 how hands-on

Not much of this job needs hands, so the robot can sit this one out.

So could a robot do the physical part?

Less than half of this job is hands-on. Robots still matter, but for a smaller part of the work, so we don't sort it any further.

Robots hate fiddly work in awkward spaces. On that measure, this job scores 9 out of 100. The higher it is, the longer the robot waits.

20 How
hands-on
9 How fiddly
and cramped

Kind of hands-on work Less than half hands-on

The small print

They aren't a robot score, and nothing on this page is. Nobody measures how far robots have got well enough to put a number on it. These are the closest thing we have: how hands-on the job is, and how much fiddly, cramped work it takes, which is what Frey and Osborne found hardest for machines.

From O*NET, averaged across 4 US jobs .

finger skill 14.6 · hand skill 1.5 · cramped spaces 12.2 · averaged · rule: hands-on under 50

estimated O*NET 31.0 BLS occupational crosswalk chain ISCO-08 to 2010 SOC (Aug 2012, rev. Jun 2015); 2010 to 2018 SOC (Nov 2017); O*NET-SOC 2019 taxonomy data 0.8-observed-use measures chosen by Frey & Osborne (2017) · the grouping is a sorting, not a measurement

The job, task by task

Every job is really a bundle of tasks. Here's this one unpacked, with how much of each AI could do, out of 100. The score is the average, and averages can hide a lot.

AI's favourite task here scores 62, against an average of 46. The bigger the gap, the more lopsided the job: some of it wide open to AI, some of it barely touched.

  1. 62

    Assisting in implementing approved recommendations, issuing revised instructions and procedure manuals, and drafting other documentation

    Medium
  2. 59

    Recording and analysing organizations’ workflow charts, records, reports, manuals and job descriptions

    Medium
  3. 54

    Undertaking and reviewing work studies by analysing existing and proposed methods and procedures such as administrative and clerical procedures

    Medium
  4. 47

    Preparing and recommending proposals to revise methods and procedures, alter work flows, redefine job functions and resolve organizational problems

    Low
  5. 45

    Directing clients towards more efficient organization and developing solutions to organizational problems

    Low
  6. 41

    Reviewing operating procedures and advising of departures from procedures and standards.

    Low
  7. 41

    Analysing and evaluating current systems and structures

    Low
  8. 39

    Assisting and encouraging the development of objectives, strategies and plans aimed at achieving customer satisfaction and the efficient use of organizations’ resources

    Low
  9. 28

    Discussing current systems with staff and observing systems at all levels of organization

    Low

9 tasks · the High to Very Low labels are the ILO's

from the source Working Paper 140, Generative AI and Jobs 2025 index data 0.8-observed-use

Sidekick or replacement?

A tool that makes you faster is a very different thing from one that does the task while you watch. Jobs and Skills Australia measured the two separately, which is handy.

AI helps you
72
AI does it for you
45

Sidekick wins, by 27 points.

How good a match is this?

2 Australian jobs match this one, and we've simply averaged them. Treat the numbers as a rough guide.

estimated Our Gen AI Transition (Gen AI Capacity Study) September 2025 detailed data release data 0.8-observed-use matched to Australian jobs 1399, 2247

Meanwhile, in real life…

Everything else here is about what AI could do. This is what people actually did. When they asked Claude for help with this kind of work, did they hand the whole task over, or roll their sleeves up and work through it together?

Out of every 100 conversations

49
51

worked through it together handed it over

The small print

Anthropic publishes this about its own product, and it doesn't feed into any score here. These are people who use Claude, not workers in general, so little use here doesn't mean AI can't reach the job. This job makes up 0.32% of the conversations.

The data is sorted by US job, and this one matches 4 of them. We've combined them, counting each by how often it comes up in the conversations, so the busiest one counts most.

These two add up to 100. The bars elsewhere on the page don't, because each is scored on its own, so we don't put them side by side.

observed use Anthropic Economic Index release 2026-06-26, period beginning 2026-05-01 data 0.8-observed-use 2026-05-01 · Anthropic, about its own product

So, should management consultants and business analysts be worried?

Short answer: not worried, but paying attention. The job is changing.

Parts of the job are exposed. Documentation, analysing workflows and work studies are rated Medium; recommendations, solutions, reviewing procedures, evaluating systems, strategy and talking to staff are Low. AI speeds up analysis and slides; change management stays human.

Worth remembering: we score tasks, not jobs. When AI takes on a task, the job usually reshuffles around it rather than vanishing.

Where this job could lead

How are the neighbours doing?

There are 92 jobs in the “Professionals” family, averaging 61. This one is below the family average.

Pit this against any other job →