Artificial intelligence is transforming IT careers by automating routine tasks, shifting responsibilities toward higher-value strategic work, and creating entirely new specialties in AI governance and security. For network engineers, system administrators, cybersecurity analysts, and help desk technicians alike, this shift is simultaneously the greatest threat and the greatest opportunity their field has faced in a generation.
IT professionals who learn to direct AI tools, using them to automate routine work, sharpen decision-making, and scale their own expertise, are positioned to become significantly more valuable to their organizations. Those who treat AI as a passing trend, or as something to be avoided, risk watching their responsibilities shrink around them.
The data backs up the urgency. According to PwC’s 2026 Global AI Jobs Barometer, which analyzed more than a billion job postings across six continents, companies most exposed to AI are seeing productivity growth 40% higher than companies least exposed to it. They’re raising wages and headcount faster, not slower, as a result.
For working IT professionals, the message is clear: This is a moment to deliberately build AI fluency, not react to it later. Emporia State University’s online Master of Science in Information Technology (MSIT) program is a structured way to do exactly that, pairing core IT expertise with the emerging skills AI-driven employers now pay a premium for.
How Is AI Changing IT Jobs?
AI is reshaping each IT specialty differently, automating routine tasks and elevating judgment-driven work. The nature of transformation depends on how routine or judgment-driven the work is.
- Network engineering is shifting from manual configuration and troubleshooting toward AI-driven network management. Machine learning models now continuously monitor traffic patterns, flagging anomalies and predicting equipment failures before they cause outages, thereby shifting network engineers toward higher-value work such as architecture design and capacity planning.
- System administration is being reshaped by AIOps platforms, which apply machine learning to IT operations data to automate routine monitoring, correlate alerts across systems, and even trigger remediation without human intervention. Sysadmins increasingly spend less time chasing tickets and more time tuning the automation itself.
- Cybersecurity may be the specialty most visibly transformed. AI-powered SIEM platforms, threat detection engines, and vulnerability scanners can process volumes of security telemetry no human team could review manually. This shift is already changing what employers hire for: In ISC2’s 2025 Cybersecurity Workforce Study, the ability to apply AI to threat detection and response was the highest-rated AI-specific skill among more than 16,000 surveyed practitioners, and traditional roles like SOC analyst and incident responder are already evolving to absorb AI-specific responsibilities. Notably, 73% of respondents see AI as a driver of new, more specialized career opportunities rather than a threat to their jobs.
- Help desk and IT support roles are being reshaped by AI chatbots that resolve a growing share of Tier 1 tickets, password resets, access requests, and basic troubleshooting, all without human involvement. This frees support staff to focus on complex escalations and the systems work behind self-service tools.
- Data management is seeing AI-assisted data quality tools and pipeline automation take over tasks like anomaly detection, schema matching, and data cleansing, shifting data professionals toward governance, architecture, and higher-order analytics.
As existing roles evolve, entirely new positions are emerging alongside them. Robert Half’s 2026 Technology Salary Trends report tracks several of these directly, and its broader salary data illustrates how much premium employers are willing to pay:
- AI/ML Operations Engineer: Manages the infrastructure, monitoring, and automation that keep machine learning models running reliably in production. Robert Half projects a national midpoint salary of $170,750 for the closely related AI/ML engineer role in 2026, with the fastest year-over-year salary growth (+4.4%) among the tech positions it tracks.
- AI Integration Specialist: Connects AI tools and APIs into existing enterprise systems and workflows, translating business requirements into working automation. According to Glassdoor, the closely related artificial intelligence specialist role earns a median total pay of $127,000, with typical salaries ranging from $98,000 to $167,000.
- Prompt Engineer: Designs, tests, and refines the inputs that get reliable, safe output from large language models, often working alongside product and data teams. Glassdoor data puts typical prompt engineering salaries between $104,000 and $168,000, with an average of $131,000.
- AI Governance and Ethics Specialist: Builds and enforces policies around responsible AI use, bias testing, and regulatory compliance. Robert Half reports that 76% of technology leaders now cite skills gaps in their departments, and AI governance is one area where organizations are most actively turning to contract talent to fill them.
- LLM Security Analyst: Focuses specifically on securing large language model deployments against prompt injection, data leakage, and adversarial manipulation. This specialization is closely related to the LLM engineer roles Robert Half includes among its emerging tech positions for 2026.
IT Career Trends: How to Position Yourself in an AI-Driven Tech Market
The organizations rewarding AI skills most aggressively aren’t necessarily replacing generalists with specialists; they’re rewarding IT professionals who add AI fluency to what they already know. PwC’s Global AI Jobs Barometer describes this as a “two-track” labor market: Jobs that AI professionalizes, by demanding deeper expertise, are growing twice as fast and posting 42% faster wage growth than jobs AI merely simplifies. In other words, the premium goes to people who use AI to do more sophisticated work, not less. Building that kind of layered fluency is exactly what a program like Emporia State University’s online MSIT is designed to deliver.
That has two practical implications for career positioning. First, IT generalists who add genuine AI fluency, such as comfort with ML concepts, cloud AI services, and automation tooling, become more valuable across virtually every industry, because AI adoption is now cutting across financial services, healthcare, manufacturing, and the public sector alike. Second, specialists who combine deep domain expertise with proficiency in AI tools command the highest premiums. A network security professional who can also deploy AI-driven threat detection, or a systems administrator fluent in AIOps platforms, is far harder to replace, and far more expensive to hire away, than either skill set alone would suggest.
This is also why Robert Half finds that 87% of technology leaders are already paying more for candidates with specialized skills, even as overall tech salary growth has moderated to a steady 1.6%. The market isn’t rewarding AI awareness in the abstract; it’s rewarding IT professionals who can point to specific, applied AI experience layered onto a strong technical foundation.
AI Skills IT Professionals Need: From Prompt Engineering to MLOps
Building that foundation starts with a specific, learnable skill set. It is not driven by a vague sense of “keeping up with AI.”
- Understanding ML model evaluation: How to read accuracy, precision, recall, and drift metrics. This helps IT professionals judge whether an AI system deployed in their environment is actually performing well, not just running.
- Experience with AI/ML cloud services: These include AWS SageMaker, Azure Machine Learning, and Google Vertex AI. It is increasingly a baseline expectation, since most organizations build and deploy models on these platforms rather than from scratch.
- Data literacy and basic Python knowledge: Key even for IT professionals who never plan to become data scientists, since much of AIOps and automation work is scripted rather than click-configured.
- Working knowledge of AI security principles: How adversarial attacks manipulate models, how training data bias creeps into production systems, and how to defend against both. This is becoming as fundamental to IT security as network segmentation once was.
None of these skills replace core IT competencies; they extend them. The professionals thriving in this market are pairing traditional strengths in networking, systems, security, or data with AI-specific literacy, not swapping one for the other.
How Does ESU’s MSIT Program Address AI’s Impact on IT Careers?
Emporia State University’s online MSIT program embeds AI, cloud, and data management skills across its core curriculum. Students engage directly with how AI is changing information systems design, how cloud platforms are becoming the default environment for deploying and managing AI tools, and how data management practices need to evolve to support automated, AI-driven pipelines.
For working professionals watching their roles shift in real time, that combination matters. Rather than treating AI as a bolt-on elective, ESU’s MSIT curriculum positions it as part of the broader technology landscape graduates are expected to navigate, alongside the systems administration, network, security, and data fundamentals that remain the backbone of IT work. The program is designed for IT professionals who want to build exactly the kind of layered expertise the market is now paying the most to find: deep domain knowledge plus applied AI fluency.
Learn how to stay ahead of AI with ESU’s online MSIT program.
Frequently Asked Questions
IT professionals weighing how AI is reshaping their careers tend to land on a similar set of questions about what to expect and how to prepare. The answers below draw on the data and program details covered throughout this article.
Will AI replace IT jobs?
No; most research indicates that AI is reshaping IT roles rather than eliminating them. PwC’s 2026 Global AI Jobs Barometer found that companies most exposed to AI are increasing both wages and headcount faster than companies least exposed, and ISC2’s 2025 Cybersecurity Workforce Study found that 73% of cybersecurity professionals see AI as a driver of new, specialized career opportunities rather than a threat to their jobs.
What AI skills do IT professionals need most?
IT professionals need a working knowledge of ML model evaluation, AI/ML cloud services, data literacy, and AI security principles. These skills extend core competencies in networking, systems, security, and data rather than replacing them.
How long does it take to complete ESU’s online MSIT program?
Emporia State University’s online MSIT program can be completed in as little as one year. The 33-credit-hour program offers multiple start dates annually, so students can begin when it fits their schedule.
Do I need an IT background to enroll in ESU’s MSIT program?
No prior IT experience is required to enroll in ESU’s online MSIT program. Applicants do need foundational coursework in algebra, statistics, and an object-oriented programming course before starting the core curriculum.
Which IT roles pay the most in an AI-driven market?
AI/ML engineering roles currently command the highest salary and fastest growth among the tech positions Robert Half tracks. Robert Half projects a national midpoint salary of $170,750 for AI/ML engineers in 2026, with year-over-year growth of 4.4%.
About Emporia State University’s Online MSIT Program
Emporia State University is a Kansas-based public university with more than 150 years of history preparing students for professional careers in business, education, and technology. Through its online programs, ESU extends that same academic foundation to working adults nationwide who are advancing their careers without pausing them.
The online MSIT degree from Emporia State University is designed for working IT professionals, requiring no prior IT experience. The program offers multiple start dates per year, so working professionals can enroll when it fits their schedule, and students can complete it in as few as 12 months.
