For those navigating the IT job market, whether as currently employed IT professionals or college students, now may be an ideal time to review how the environment is quickly evolving. According to some experts, the technology job market appears to be moving down two specific paths: The first path focuses on strong demand for high-paying work in specialized AI, cloud architecture and cybersecurity; the other focuses on routine coding, junior roles that tend to be entry level, and basic IT support.
Several factors could dramatically change the trajectory of the job market. For example, the economy could be influenced by global military actions, rising interest rates, inflation and general business uncertainty. AI is also a double-edged sword. On the one hand, AI is considered by many to be an ideal technology for optimizing automation, working efficiently and continuously, personalizing the user experience and potentially reducing human error. On the negative side, it can cause job displacement and high startup costs, and potentially lacks human intelligence. It can run autonomously, and if unchecked, some AI agents can independently evade human attempts to shut their processes down. Top CEOs of leading AI companies have stressed the need to slow down powerful AI systems but still move ahead carefully. What does all this mean for students or recent graduates trying to plot IT-related careers? Let’s dig a bit deeper into the details.
WHERE THE TECH JOBS SEEM TO BE
In today’s tech job market, indications are that employment postings are down from the pre-pandemic level of early 2020, but by 2025, postings for machine-learning engineers were up by 59 percent, according to research from Indeed.com. For 2026, according to the most recent State of Tech Workforce report by the nonprofit trade association CompTIA, the IT job market showed modest growth in the first portion of the year. There appears to be a two-way job split between AI engineers and general software engineers: AI engineers, particularly in senior roles, are paid a premium over non-AI peers, and this trend seems to be growing.
POTENTIAL SAFER EMPLOYMENT AREAS
Beyond certain AI-related fields, there are other employment sectors that appear to be safe bets. These types of jobs tend to focus on more hands-on physical work and fall into the categories of personal services such as clinical and direct healthcare, education and human development, skilled trades and infrastructure services, and creative work. When the online remote school U.S. Career Institute recently listed 65 jobs with the lowest risk of being lost due to AI, at the top of the list were nurse practitioners, physician assistants and nursing instructors. While these jobs may be safe from elimination due to AI, each of these disciplines will likely still use AI tools in their daily responsibilities.
AT-RISK EMPLOYMENT SECTORS
Some jobs considered at risk for elimination by AI are simple data entry, IT and general call centers, and general accounting. Particularly in IT, AI agents can now easily handle a help desk or call center to deal with initial technical support issues and questions, and accomplish this entirely unattended 24/7, all with a human-sounding voice with efficient call and issue tracking. If needed, an AI agent can escalate issue resolution to a human entity as needed, anywhere in the world.
CAUTION IN THE WIND WITH AI
Even with accelerating growth in AI and increased hiring, there are headwinds in this sector. With rising demand for data centers, there also has been a surge in construction bottlenecks due to supply backlogs, limitations of power grid capacity, water shortages for cooling, caution about “overinvesting” in projects and local backlash for building data centers near residential or protected land. These headwinds could impact future job opportunities and careers.
An increase in AI proficiency and efficiency has also led to concerns of “too-rapid automation,” which could conceivably cause an increase in unemployment. In April, a column published by J.P. Morgan questioned whether AI is a really “job destroyer” or not. The company listed three constraints that moderate the speed of the transition to AI: 1) model capability, 2) physical infrastructure and 3) institutional regulation, organization and sociopolitical resistance. The columnists’ view was optimistic toward the AI narrative, suggesting this “technology transition will disrupt, but it need not completely destroy.”
Most recently, prominent CEOs have come out publicly to suggest AI is moving too fast and the pace of development should be slowed down, including Open AI CEO Sam Altman, Anthropic CEO Dario Amodei and Elon Musk. In a September 2026 post on his website, Amodei stressed, “Progress will still be relatively fast, and we can use this time to advance the science of interpretability, improve operational security and rigor at the frontier AI companies, and build models whose alignment we have much more confidence in. The measures I propose to advance the frontier at a safe pace will not be easy. But I believe we owe it to humanity to try.”
WHAT DOES THIS MEAN FOR EMPLOYMENT AND CAREERS?
If you plan to stay in an IT-related field, it will be important to understand and learn Python, the key programming language for AI and machine learning. If you don’t already have strong AI literacy, you should seek out learning tools or gain additional certifications. Immerse yourself in AI tools such as ChatGPT, Claude or Gemini. In addition, it’s never too late to hone your soft skills in problem solving, personnel management and negotiation.
The skills necessary for current IT professionals wanting to transition toward more AI-related employment are also applicable to higher-ed students looking to shape their own future careers. As CompTIA suggests, successful educational programs should “combine strong foundations with applied practice to help students build confidence, adapt to change and show employers they are ready to contribute.” They also need to provide students with “the knowledge, practice and confidence to work through change, use AI responsibly and contribute in environments where workflows will continue to evolve.” To be consistently job- and career-marketable, it’s wise to continually evaluate your current situation, look for consistent ways to upgrade your skills either through training, certification or education, and monitor the job market throughout the year. Plan and review. Continue to review again for your personal job path until you’re ready for retirement.
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