01 — AN INTRODUCTION

Information technology, explained — and where it's headed.

This is a guide to what IT actually is, how it became the backbone of every industry, which careers inside it are booming, which are fading, and the roles artificial intelligence still can't touch. Every figure here is sourced.

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02 — DEFINITION & ORIGIN

What "IT" means, and when it got its name

In its modern sense, information technology covers the computers, networks, software and systems used to generate, store, move, secure and act on information. People have been recording and organising information since the Sumerians developed writing around 3000 BC, and the first known calculating device — the abacus — dates to roughly 2400 BC. But the phrase "information technology" itself is much younger.

It was coined in the 1958 Harvard Business Review, when authors Harold J. Leavitt and Thomas C. Whisler wrote that "the new technology does not yet have a single established name. We shall call it Information Technology." (Source: Harvard Business Review, 1958, via TechTarget & Sharp UK)

1837–1946

Mechanical to electronic

Charles Babbage conceives the Analytical Engine (1837); WWII code-breaking produces Colossus (1943) in the UK; ENIAC (1946) becomes the first general-purpose electronic computer.

1958

The term "IT" is born

Harvard Business Review names the emerging field of business computing "Information Technology" for the first time.

1969–1970s

Networks & microprocessors

ARPANET (1969) lays the groundwork for the internet; microprocessors shrink computers from room-sized to desk-sized.

1980s–1990s

The PC and the Web

Personal computers go mainstream, Microsoft and Apple rise, and the World Wide Web (1991) turns IT into something everyone touches daily.

2000s–2020

Cloud, mobile, security

Cloud computing, smartphones and cybersecurity become core disciplines as business infrastructure moves off-premise.

2020–now

AI, automation, quantum

Generative AI, large-scale automation and early quantum computing are reshaping which IT tasks need a human — the subject of the rest of this page.

Sources: complete-it.co.uk, Sharp UK, TechTarget, Texas State University IT History overview.

03 — CAREERS IN IT

The major families of IT roles

IT is not one job — it's a set of disciplines, each solving a different business problem. Click a category to see what it pays, what it fixes, what skills it needs, and who's hiring in 2027 and beyond.

Market valueCloud Architects average roughly $206,000/yr in the US; infrastructure managers are named among the top five in-demand roles for 2026.
Problem it solvesMoves and runs business systems reliably on shared infrastructure (AWS, Azure, GCP) instead of physical servers — cutting cost and downtime.
Core skillsAWS/Azure/GCP, Kubernetes & containers, networking, Infrastructure-as-Code (Terraform), hybrid/edge architecture.
Who's hiring by 2027Finance, healthcare, retail, telecoms, and any company migrating legacy systems off-premise.
Market valueChief Information Security Officers average about $257,000/yr; mid-level analysts and engineers are seeing salaries rise 10–15% due to a talent shortage.
Problem it solvesProtects data, money, and infrastructure from attackers — a global workforce gap of roughly 4.8 million unfilled roles means this problem is largely unsolved.
Core skillsThreat detection, incident response, cloud security, AI-assisted SOC tooling, regulatory compliance (GDPR, ISO 27001).
Who's hiring by 2027Banking, government, healthcare, and every company holding customer data — which is effectively all of them.
Market valueAI Engineers average roughly $205,000/yr and Machine Learning Engineers around $196,000/yr; data & analytics roles are forecast to grow over 400% by 2035.
Problem it solvesTurns raw business data into decisions — forecasting demand, catching fraud, personalising products, and now building the AI systems other roles use.
Core skillsSQL, Python, Power BI/Tableau, statistics, machine learning fundamentals, data storytelling.
Who's hiring by 2027Every industry with a customer base: retail, banking, logistics, media, and AI-native startups especially.
Market valueNamed among the top five highest-demand IT roles for 2026, with salaries rising as employers compete for skills-based (not just experience-based) hires.
Problem it solvesKeeps technical teams aligned with business goals, budgets and deadlines, and translates customer needs into things engineers can build.
Core skillsStakeholder communication, Agile/Scrum, roadmapping, budgeting, and increasingly, judgement about where AI tools help vs. mislead a project.
Who's hiring by 2027Software companies, banks, consultancies, telecoms — anywhere technical work needs a human translator.
Market valueStill well-paid, but traditional software engineering has shrunk to roughly 10% of in-demand IT job postings as hiring shifts toward cloud, data and AI roles.
Problem it solvesBuilds and maintains the applications and platforms every other role depends on.
Core skillsA programming language (Python, JavaScript, Java), version control, system design, and — increasingly — fluency working alongside AI coding assistants rather than against them.
Who's hiring by 2027Fintech, SaaS, e-commerce, and any company building its own tools rather than buying them.
Market valueStill a common entry point into IT, but under real pressure: help-desk job postings are down 36% since 2020 as AI support tools absorb routine tickets.
Problem it solvesKeeps everyday hardware, software and access issues from stopping the business — still needed for anything AI chatbots can't resolve.
Core skillsTroubleshooting, ticketing systems, basic networking, and customer communication — plus comfort working with AI triage tools rather than being replaced by them.
Who's hiring by 2027Still widespread, but shrinking at the entry tier — best used as a stepping stone into cloud, security or data roles rather than a destination.

Sources: Addison Group 2026 IT & Development Workforce Planning Guide; CIO.com (Robert Half 2026 IT Salary Report); IT Career Association 2026 IT Career Outlook Report.

04 — THE NUMBERS

What the data says about pay, growth and decline

Three views of the same shift: pay is concentrating in senior, specialised, and AI-adjacent roles; routine entry-level work is contracting; and the gap between the two is widening year over year.

Highest-paying IT roles, US national average (2026)

Leadership and specialist technical roles — CTO, CISO, Cloud Architect, AI/ML Engineer — sit well above generalist roles. Notice how close AI/ML engineering pay now runs to traditional VP-level titles, reflecting how scarce that skill set still is.

Source: Addison Group, "Highest-Paid IT & Development Jobs," 2026 Workforce Planning Guide.

Where entry-level and routine roles are contracting

Help-desk postings, new-graduate hiring at big tech firms, and traditional bank-teller roles are all shrinking, while Brookings research finds entry-level positions face roughly 50% task-automation exposure — five times the risk senior roles face.

Sources: IT Career Association 2026 Outlook Report; SignalFire State of Talent Report 2025; MarketBeat (Brookings Institution analysis); Robert Half/BLS bank-teller projections 2023–2033.

Projected trajectory: durable IT roles vs. routine IT roles

This chart is an illustrative index (2020 = 100) built from the growth and decline figures above and industry outlook reports — not a single published dataset — to visualise the diverging direction of these two groups of roles through 2033.

Modelled from: Addison Group 2026 Workforce Planning Guide; IT Career Association 2026 Outlook Report; World Economic Forum Future of Jobs Report 2025.

05 — AI AND THE HUMAN LINE

Which IT roles AI is absorbing — and which it can't touch

AI is genuinely changing IT hiring: about 30% of employers surveyed plan to replace some staff with AI in 2026, and nearly half name IT and technical support as most exposed. But the same research is consistent on one point — judgement, accountability and trust don't automate.

Where AI is doing the work

  • Tier-1 help desk & ticket triageRepetitive, well-documented fixes are now handled by AI support agents — a core reason help-desk postings are down 36% since 2020.
  • Data entry & document processingOCR and ML extract structured data from forms and documents with minimal human input.
  • Routine QA & boilerplate codeAI coding assistants generate and test repetitive, well-specified code, shifting demand toward senior engineers who review and architect.
  • Back-office / entry-level banking & admin tasksMajor banks expect to cut roughly 200,000 roles over 3–5 years as AI absorbs entry-level and back-office work.

Where humans stay essential — and why

  • Cybersecurity investigation & incident responseDeciding whether a strange login is an intern, a script, or an attacker requires contextual judgement AI can flag but not resolve alone.
  • Security & compliance accountabilitySomeone has to own the decision and the consequences when a breach happens — AI cannot be held accountable.
  • Penetration testingThinking like a creative, adaptive human attacker is exactly what AI struggles to replicate reliably.
  • IT project & product managementBalancing customer needs, budgets, team morale and shifting priorities is a human negotiation, not a data query.
  • Cloud & solutions architectureDesigning systems around messy, evolving business logic still needs human interpretation of what the business actually needs.
  • AI risk & governance rolesA genuinely new career line: humans who audit, question and set guardrails for the AI systems now doing other people's old jobs.
Banking & financeEntry-level and back-office roles shrinking; fraud investigation, compliance and cybersecurity roles growing.
Cybersecurity industry~4.8 million unfilled roles worldwide — the shortage of judgement-driven talent is the story, not AI replacement.
Customer support / BPOHighest employer-reported AI displacement risk (54% of surveyed leaders), pushing survivors toward specialised, empathy-heavy escalation roles.
Legal & professional servicesAI now handles document review and first-draft research, reducing demand for junior document-review staff while senior judgement roles hold steady.
Manufacturing & logisticsRobotics and AI are projected to displace roughly 20 million manufacturing jobs globally by 2030, accelerating demand for the engineers who design and maintain those systems.

Sources: Expel "Will AI Replace Cybersecurity Professionals?" (2026); TurnkeyStaffing "Post-AI Hiring" report; SkillsCouter "Jobs AI Can't Replace in 2026"; Hackr.io survey of 1,250 US business leaders (2026); WeAreTenet AI Job Replacement Statistics; World Economic Forum Future of Jobs Report 2025.

06 — TAKEAWAYS

So — how should this shape your IT career choice?

Four short takeaways. This deck advances on its own every few seconds, or you can click through and use the dots.

TAKEAWAY 1 / 4

Aim above the routine tier

Entry-level, repetitive, well-documented tasks are exactly what current AI tools are built to absorb. Wherever possible, learn the layer above the routine one — not just "how to reset a password" but "why this network keeps failing."

TAKEAWAY 2 / 4

Judgement is the differentiator, not tool knowledge

Knowing Power BI or a cloud console matters — but the roles holding up best are the ones where someone has to decide, take responsibility, and live with the consequences of being wrong.

TAKEAWAY 3 / 4

Learn to work with AI, not around it

Every durable role in this data — from cybersecurity to project management — assumes you're using AI tools daily, just not letting them make the final call.

TAKEAWAY 4 / 4

Start somewhere — momentum beats a perfect plan

Page two of this site links real, beginner-friendly courses across the roles covered above. The fastest way in is to pick one and start this week.

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