Rikter Italy Tech7.4%▲ +0.3 ppof openings are for tech roles
Jobs% of tech openings
ICT network administrator0.6%▲Software developer11.3%ICT help desk agent5.4%ICT system administrator4.2%ICT consultant3.5%ICT business analyst2.5%Graphic designer2.3%Embedded systems software developer2.2%Artificial intelligence engineer1.8%ICT technician1.7%ICT network engineer1.6%ICT project manager1.5%Electronics engineer1.4%Web developer1.3%ICT system architect1.3%Software tester1.2%ICT network administrator0.6%▲Software developer11.3%ICT help desk agent5.4%ICT system administrator4.2%ICT consultant3.5%ICT business analyst2.5%Graphic designer2.3%Embedded systems software developer2.2%Artificial intelligence engineer1.8%ICT technician1.7%ICT network engineer1.6%ICT project manager1.5%Electronics engineer1.4%Web developer1.3%ICT system architect1.3%Software tester1.2%
Skills% of openings asking
Computer programming20.5%▼ICT encryption1.8%▲Azure Data Factory0.3%▲ESB0.1%▲Cloud technologies21.1%Operating systems19.2%Cyber security16.8%Office software15.9%Network engineering14.4%Tools for software configuration management14.2%Python (computer programming)14.1%Principles of artificial intelligence13.4%SQL13.2%Computer programming20.5%▼ICT encryption1.8%▲Azure Data Factory0.3%▲ESB0.1%▲Cloud technologies21.1%Operating systems19.2%Cyber security16.8%Office software15.9%Network engineering14.4%Tools for software configuration management14.2%Python (computer programming)14.1%Principles of artificial intelligence13.4%SQL13.2%
The TerminalTraining providersMethod

Skills expire faster than the plans built on them.

Skills and jobs are losing value faster than ever, and most decisions still run on reports that arrive once a year. Rikter is the open, live index of labour market demand: measuring skill and job volatility as AI reshapes work.

Request early accessOpen the Terminal

Today: tech roles in Italy, measured since 31 August 2026.

Software developerICT help desk agentICT consultantICT system administratorGraphic designerICT business analystEmbedded systems software developerArtificial intelligence engineerICT technicianData analystData engineerWeb developerICT project managerData scientistICT system architectElectronics engineerICT application developerSoftware testerICT network engineerCloud DevOps engineerElectronics engineering technicianWeb content managerUser interface developerCloud engineerNumerical tool and process control programmerCyber incident responderMobile application developerIntegration engineerSecurity alarm technicianICT presales engineerUser interface designerSoftware analystFibre optic installerICT operations managerICT network technicianICT account managerCloud architectEmbedded systems security engineerTelecommunications technicianDatabase administratorICT security administratorICT network administratorIntegrated circuit design engineerTelecommunications engineerSoftware architectMedical device engineering technicianInstrumentation engineering technicianSoftware managerCybersecurity risk managerEthical hackerInstrumentation engineerDatabase developerCamera operatorSearch engine optimisation expertWeb designerSystem configuratorChief ICT security officerComputer hardware engineerICT business development managerComputer vision engineerICT network architectICT system integration consultantGraphic designerSoftware testerWeb content managerICT network administratorSoftware developerArtificial intelligence engineerWeb developerElectronics engineer
29,985,508listings collected and counting; an opening seen on several sites counts once when we measure
15 marketsacross Europe and the United States, collected every day
Over 400 milliondata points in those listings: job, employer, place, pay, text and more

The problem

Decide on today's signal, not last year's report.

Students, training providers, employers and institutions make year-long investments in skills. The skills and jobs employers ask for move every day, and AI is moving them faster; the reports most decisions run on arrive once a month to once a year, long after the market has moved.

How often, over a year todayHow fine
Employment statistics
by country, no skills
Hiring-intentions surveys
a dozen skill groups
Online job ad statistics
by skill group
Skills rankings and reports
a ranking, once a year
Rikter
every day, by skill, task and job

Each mark is an update, and the year flows to the left. Rikter's line is the collection itself, every day.

Who carries the risk of a late signal

Training providers and learning platformsteach and recommend skills that are already fading
Universities and collegeslaunch programmes for last year's jobs
Employers and HRhire and train for the job as it was
Lenders and investorsback skills that no longer pay back

The answer

Plug into live labour market demand.

Today, the Rikter Terminal. In private beta, your programmes measured against the live signal, and the companies that will need training, before they ask. In early access, the API and the MCP for your AI agents.

Request early accessOpen the Terminal
A third party

One you can show to your learners and your clients. We don't sell training, and we never sell a score.

One public method

The same calculation for every job, every skill and every provider.

Dated and kept

Every release stays as published; a correction is a new release. How we measure

The Terminal: the labour market's seismograph

Look it up, compare it, watch it move.

Every job, skill and task employers ask for: how much, where, for what pay, and how it moves.

Open the Terminal

Tech roles in Italy, data through 27 September 2026.

Rankings last four weeks

What employers ask for most

77jobs rankedand 1,984 skills and tasks

Jobs

1Software developer11.3%+0.2 pp
2ICT help desk agent5.4%+0.4 pp
3ICT system administrator4.2%+0.1 pp
4ICT consultant3.5%−1.0 pp
5ICT business analyst2.5%+0.2 pp

Knowledge and tools

1Cloud technologies21.1%+0.2 pp
2Computer programming20.5%▼ −2.2 pp
3Operating systems19.2%+1.4 pp
4Cyber security16.8%+0.0 pp
5Office software15.9%−0.1 pp

Tasks

1Troubleshoot25.8%+1.1 pp
2Provide technical documentation15.7%+0.7 pp
3Solve technical problems14.8%+0.9 pp
4Execute software tests12.5%+0.5 pp
5Create solutions to problems11.5%+0.2 pp

Share of tech openings over the last four weeks; the change is the last two weeks against the two before, in percentage points. Arrows mark moves above the noise. The eye watches any of them.

For training providers, learning platforms and universities

Every skill in your programmes is gaining or losing value. See which.

Two things move the value of a programme. Employers ask for its skills more, or less. People hand them to AI, or work on them with AI. Rikter measures both, live, for every job your programmes lead to.

Request early access

The value of your programme

Master in Artificial Intelligence

100

Illustrative: a fictional programme. Your own programmes are read in the beta.

Openings, as they come in

What's at riskWhat you teach that employers ask for less, or that people already hand to AI.
What to addWhat employers ask for in the jobs your programmes lead to, and you don't teach.
What to launch nextThe jobs and skills gaining ground, and the new ones employers start naming.
What moves firstAn alert when something you teach, or should teach, moves.
Proof you can showA dated reading from a third party, for your learners and your clients.

For providers who train companies

The outside anchor for every people decision.

Your clients decide about people from the inside: skills, roles, pay, hiring, AI. Rikter brings the outside, measured the same way for everyone, as a third party you can show them. Here is what you can build on it for them.

Your client's frameworkRelationship manager, written in 2024Where demand puts each skillToday
not in the frameworkas written in 2024◀ asked lessasked more ▶Client advisoryFinancial productsCredit analysisStatistical softwareAI-assisted adviceData analysis

As written in 2024, still asked

Client advisoryFinancial products

Asked less

Credit analysisStatistical software

Not in the framework

AI-assisted adviceData analysis

At risk in this framework: 2 skills asked less and 2 skills missing.

Illustrative data.

And the right moment. See which companies will need it, before they ask.

Request early accessSee the companies moving now

Connect it to your tools.

API early accessDemand, AI exposure and pay for every skill and job, inside your product, recommendations and reports.
MCP early accessThe open standard AI assistants use to reach data. Your assistant or agent asks Rikter directly: which skills are rising fastest for data analysts this month?
Exports early accessLists and readings to your CRM, spreadsheets and dashboards.

Join the private beta.

Tell us who you are and what you would use it for. We reply personally.

In the beta: the full depth of the data in the Terminal, access to the API, and an analysis of your programmes against live demand.

Built first for training providers and learning platforms. Open to anyone whose decisions depend on skills.

We use your email only to reply and to invite you to the beta. To have it deleted, write to info@rikter.live. Privacy

For training providers and learning platforms

Still teaching the right skills?

Rikter reads the labour market live and shows which of your programmes are gaining value, which are at risk, and which companies need new skills now.

Request early accessFor corporate training: the companies that need it now

The value of your programme

Master in Artificial Intelligence

100

Illustrative: a fictional programme. Your own programmes are read in the beta.

Openings, as they come in

What's at riskWhat you teach that employers ask for less, or that people already hand to AI.
What to addWhat employers ask for in the jobs your programmes lead to, and you don't teach.
What to launch nextThe jobs and skills gaining ground, and the new ones employers start naming.
What moves firstAn alert when something you teach, or should teach, moves.
Proof you can showA dated reading from a third party, for your learners and your clients.

For corporate training

See which companies will need training, before they ask.

Rikter sees the change in their openings as it happens: which company, which teams, which skills. You get there while they are still deciding what to buy.

Illustrative, fictional companies. Company view comes with the beta.

This weekWhyWhat to propose
Acme BankBanking

AI is now asked in 5 of its 7 job families.

AI and data for its relationship managersCall now

Job families asking for AI 5 of 7

IT and softwareIT audit and riskCreditRelationship managersContact centreMarketingHR16 weeks agothis week
Already in your catalogue

Data analysisDashboards

Missing from your catalogue

AI-assisted advicePrompt writing for clients

Globex InsuranceInsurance

Data quality asked twice as often as a month ago.

Data quality for claims and underwritingCall now
Woodgrove BankBanking

Hiring of AI specialists has stopped; ordinary roles keep changing.

AI for its credit and operations teamsCall now
Northwind RetailRetail

Store managers now asked for AI-assisted planning.

AI-assisted planning for store managersWatch
Tailspin EnergyEnergy

First field roles asking for AI.

AI basics for field teamsWatch

Illustrative data, fictional companies. See it in the Terminal

A third party

The outside anchor for every people decision.

Your clients decide about people from the inside: skills, roles, pay, hiring, AI. Rikter brings the outside, measured the same way for everyone, as a third party you can show them. Here is what you can build on it for them.

Your client's frameworkRelationship manager, written in 2024Where demand puts each skillToday
not in the frameworkas written in 2024◀ asked lessasked more ▶Client advisoryFinancial productsCredit analysisStatistical softwareAI-assisted adviceData analysis

As written in 2024, still asked

Client advisoryFinancial products

Asked less

Credit analysisStatistical software

Not in the framework

AI-assisted adviceData analysis

At risk in this framework: 2 skills asked less and 2 skills missing.

Illustrative data.

Connect it to your tools.

API early accessDemand, AI exposure and pay for every skill and job, inside your product, recommendations and reports.
MCP early accessThe open standard AI assistants use to reach data. Your assistant or agent asks Rikter directly: which of our courses lost value this month?
Exports early accessCompany lists to your CRM, readings to your spreadsheets and dashboards.
Request early access

Legal and privacy

Legal notice and privacy.

Who publishes this site, what we keep when you write to us, and why.

Who publishes this site

Rikter is published by Matteo Bagnato. VAT number: IT 12532410961. Email: info@rikter.live. Address: available on request at info@rikter.live. Director of publication: Matteo Bagnato. Hosting: Cloudflare, Inc., 101 Townsend St, San Francisco, CA 94107, United States.

Who is responsible

Matteo Bagnato (contacts above) is the data controller.

What we keep

What you type in a form: your email, and if you give them, your organisation, your role and what you would use Rikter for. With it, the form you used, the page you were on, the date and the country your connection comes from. We do not keep your IP address.

Why, and on what basis

To reply to you and to invite you to the private beta, because you asked us to (steps taken at your request before any agreement, GDPR art. 6(1)(b)). If we ever want to write to you about anything else, we will ask first.

For how long

Until the end of the private beta. After that, we delete your data if we have not been in touch for 12 months. You can ask us to delete it at any time.

Who else handles it

Cloudflare hosts the site and stores the form entries; Resend sends the confirmation email and our notification; Google hosts our mailbox. They act on our instructions and may process data outside the European Union under the European Commission's standard contractual clauses. We do not sell or share your data with anyone else.

Your rights

You can ask to see, correct, delete or receive your data, to limit its use or to object to it, by writing to info@rikter.live. You can also complain to the Italian data protection authority, the Garante per la protezione dei dati personali (garanteprivacy.it), or to the authority where you live, such as the CNIL in France.

Visits

We count visits with Cloudflare Web Analytics, which uses no cookies and does not follow you across sites. This site sets no advertising or tracking cookies.

Data credits

Contains data from the Anthropic Economic Index (CC BY 4.0).

Last updated

8 October 2026.

Method

How we measure.

One public method, the same for everyone. What we measure, how we read it, and what we never say.

What we measure

The share of openings that ask for a job, a skill or a task. An opening is a job ad an employer publishes, counted once however many sites it appears on. Today: tech roles in Italy, measured since 31 August 2026. All white-collar roles next, then France and the United Kingdom.

Where the openings come from

Company career sites, job boards, public employment services and staffing agencies, collected every day in 15 markets. Sources are described by type, never named. An opening seen on two sources counts once.

What we see

We read a large share of the openings published, not all of them. That is why we publish shares and changes, never totals.

The taxonomy

Jobs, skills and tasks are anchored to ESCO, the European Commission's classification of skills and occupations (version 1.2.1). Job titles as employers write them, like full stack developer or software engineer, lead to the ESCO job they belong to. Different names for the same skill count as one. What employers start asking for and ESCO does not have yet is kept apart and marked as a Rikter addition. It enters only with at least 12 to 17 distinct openings in four weeks, depending on whether it is a job, a skill or a task, from at least three employers, none above half, over at least two weeks. The Radar shows these additions while they are under review.

We never change ESCO itself. We add what it does not have yet, placed under the ESCO entry it belongs to, and new names for what it already has. Where an ESCO name misleads in one language, we correct how we read it and say so in the release notes.

How we count

Each job, skill or task counts once per opening. Different skills are never added up: a group counts the openings that name at least one of its members. A skill written without an action, like «Python», is a skill; an action, like «write and refine prompts», is a task.

A band on every number

Every share comes with its 95% band: the range where the true share most likely sits. A share is published only when its error is at most 30% of its value and at least three employers asked for it, which in practice means at least 18 distinct openings; copies of the same opening count once. Otherwise we write «not enough data».

What counts as a move

Changes are in percentage points (pp): a share that goes from 1.8% to 1.1% has moved −0.7 pp. A first signal is a move larger than the noise between the last two weeks and the two before, seen across many employers, with copies of the same opening counted once. «Rising fastest» also needs a starting share large enough to publish on its own.

How well we read

We test our reading on openings held out from it, against two AI readers working blind, with a third opinion where they disagreed. It is not yet checked by people. When we name a job, it is the right one 79 times in 100 (band 72 to 86; 200 openings, week 39). Of the openings whose job is in ESCO, we find it 75 times in 100 (band 68 to 82). The same opening read twice gets the same decision 95.7 times in 100 (2,000 openings, week 38). About 25 in 100 tech openings have no identified job yet: we would rather leave them unassigned than guess. The reading of skills and tasks is checked on samples, but not yet measured blind; we will publish that measure when we have it.

Programme value

An index, 100 on the day we start reading a programme, of how much of what employers ask for in the jobs it leads to the programme teaches, each skill weighted by how often it is asked. Illustrative in this preview.

AI exposure

How AI is used on these tasks in Claude conversations worldwide, May 2026: automation = the person hands the task to the AI; augmentation = the person works with it. Mapped to ESCO tasks by Rikter and weighted by what Italian tech openings ask for. Describes AI use, not job loss. Preview. Each job shows automation, augmentation and no AI use found over its measured tasks, and the share of its task demand not measured; jobs with too few measured tasks say «Insufficient evidence». Task matching: 94% on target. Job shares sit close together: compare their order, not their distances. Contains data from the Anthropic Economic Index (CC BY 4.0).

Pay

Advertised pay, where the opening declares it: not what people are paid. About 45 in 100 tech openings in Italy declare it; we show it as gross yearly pay.

Releases and revisions

Every release is dated, fingerprinted and frozen with the openings and the reading behind it, so any number can be traced back to its openings. When we improve how we read, we re-read the whole history with the new version and publish it as a new dated release; the previous one stays available. Versions are never mixed inside a series. A correction is a new release, with a note that says what changed and why.

The numbers on this site

Listings collected: each listing counted once per source, across 15 markets; the same opening on two sources counts twice here, and once in every number we measure. The counter starts from our latest count and grows a little slower than collection has grown over the last seven days, so it is never ahead of the truth. Data points: over 400 million, an estimate of the fields those listings carry when we collect them (job title, employer, place, dates, text, pay where declared, contract and more), measured on samples of the main sources.

What we never say

Market size, the number of jobs in the economy, or that something is a trend before it has a history. We never sell a score.