Will AI replace ICT system analyst jobs?

ICT system analysts face a 78/100 AI disruption score—classified as very high risk—but replacement is unlikely in the near term. While AI will automate routine analytical tasks like LDAP administration and mathematical calculations, the core responsibility of translating end-user requirements into system solutions remains fundamentally human-centered. The role will transform rather than disappear, requiring analysts to evolve their skill sets.

How will AI change the ICT system analyst role?

The 78/100 disruption score reflects a complex vulnerability landscape specific to ICT system analytics. Technical data processing tasks face acute automation risk: LDAP management, online analytical processing (OLAP), and executing mathematical calculations are increasingly handled by AI systems and specialized tools. The Task Automation Proxy score of 69.47/100 indicates roughly two-thirds of routine analytical procedures can be systematized. However, this doesn't translate to job elimination. The AI Complementarity score of 75.57/100 shows substantial upside—AI amplifies value in core competencies. Decision support systems, data mining, and computer programming remain resilient (scoring high in longevity) because they require contextual judgment and creative problem-solving. Near-term: analysts spending 40-50% of time on manual calculations and basic requirement documentation will see those duties absorbed by AI tools, creating pressure to upskill. Long-term: the profession consolidates around strategic architecture work, AI-augmented programming (TypeScript, Python, ASP.NET), and stakeholder discovery—activities machines cannot own. Organizations will demand fewer but more versatile analysts.

Very High Risk

ICT system analyst

Q: What skills does a ICT system analyst need to stay relevant with AI?

Key skills for ICT system analyst in the AI era include: computer programming, TypeScript, Ruby (computer programming), Common Lisp, ASP.NET. These are areas where AI augments human capabilities rather than replacing them.

ICT system analysts specify the system needs to meet the end user requirements. They analyse system functions in order to define their goals or purposes and to discover operations and procedures for accomplishing them most efficiently. They also design new IT solutions to improve business efficiency and productivity, produce outline designs and estimate costs of new systems, specify the operations the system will perform, and the way data will be viewed by the end user. They present the design to the users and work closely with the users to implement the solution.

ISCO 2511Explore this role

60

Skill Vulnerability

Impact: Now

69

Task Automation

Impact: 1–3 years

76

AI Enhancement

Impact: 5+ years

How AI Will Change This Role

Expected Impact Timeline

Near-term (1-3 years)

AI tools already augmenting 30-50% of routine tasks. Early adopters gaining productivity edge.

Mid-term (3-7 years)

Significant task automation expected. Role will evolve — fewer positions, higher skill requirements.

Long-term (7-15 years)

Role substantially transformed. Remaining positions require AI management skills + deep domain expertise.

Expected Salary Impact

↘

Downward salary pressure expected as AI automates key tasks

Job Demand Outlook

↘

Fewer openings expected as AI handles core tasks

Tasks Most Likely to Be Automated

⚠LDAP
⚠execute analytical mathematical calculations
⚠online analytical processing
⚠identify customer requirements

Tasks That Will Remain Human

✔decision support systems
✔data mining
✔computer programming
✔Haskell

Skills to Develop for AI Resilience

computer programmingTypeScriptRuby (computer programming)Common LispASP.NET

⚠ Most Vulnerable Skills

LDAP85%

LDAPThe computer language LDAP is a query language for retrieval of information from a database and of documents containing the needed information.

execute analytical mathematical calculations80%

execute analytical mathematical calculationsApply mathematical methods and make use of calculation technologies in order to perform analyses and devise solutions to specific problems.

online analytical processing76%

online analytical processingThe online tools which analyse, aggregate and present multi-dimensional data enabling users to interactively and selectively extract and view data from specific points of view.

identify customer requirements76%

identify customer requirementsApply techniques and tools, such as surveys, questionnaires, ICT applications, for eliciting, defining, analysing, documenting and maintaining user requirements from system, service or product.

N1QL76%

N1QLThe computer language N1QL is a query language for retrieval of information from a database and of documents containing the needed information. It is developed by the software company Couchbase.

Exposure

✔ Most Resilient Skills

decision support systems35%

decision support systemsThe ICT systems that can be used to support business or organisational decision making.

data mining35%

data miningThe methods of artificial intelligence, machine learning, statistics and databases used to extract content from a dataset.

computer programming38%

computer programmingThe techniques and principles of software development, such as analysis, algorithms, coding, testing and compiling of programming paradigms (e.g. object oriented programming, functional programming) a...

Haskell42%

HaskellThe techniques and principles of software development, such as analysis, algorithms, coding, testing and compiling of programming paradigms in Haskell.

Smalltalk (computer programming)42%

Smalltalk (computer programming)The techniques and principles of software development, such as analysis, algorithms, coding, testing and compiling of programming paradigms in Smalltalk.

Exposure

✨ AI-Enhanced Skills

computer programming88%

computer programmingThe techniques and principles of software development, such as analysis, algorithms, coding, testing and compiling of programming paradigms (e.g. object oriented programming, functional programming) a...

TypeScript86%

TypeScriptThe techniques and principles of software development, such as analysis, algorithms, coding, testing and compiling of programming paradigms in TypeScript.

Ruby (computer programming)85%

Ruby (computer programming)The techniques and principles of software development, such as analysis, algorithms, coding, testing and compiling of programming paradigms in Ruby.

Common Lisp85%

Common LispThe techniques and principles of software development, such as analysis, algorithms, coding, testing and compiling of programming paradigms in Common Lisp.

ASP.NET85%

ASP.NETThe techniques and principles of software development, such as analysis, algorithms, coding, testing and compiling of programming paradigms in ASP.NET.

AI Boost