For most of the last decade, the surest way to break into tech was through an entry level role. QA testers, junior developers, and IT support specialists filled the bottom rung of the ladder, and many used those positions as a springboard to higher pay and more responsibility.
That path is closing fast. Artificial intelligence has automated many of the simplest tasks that used to justify those jobs. Companies have also moved large portions of QA and basic support work overseas to cut costs. As a result, younger workers are finding it harder to get a foot in the door, and even experienced professionals are being forced to rethink their careers.
But not every IT job is disappearing. In fact, some of the highest paying roles in the industry are expanding. The difference is that these jobs require skills AI cannot fully replicate and responsibilities companies will not outsource. They involve oversight, compliance, and leadership. They come with salaries ranging from seventy five thousand dollars to one hundred and fifty thousand dollars. And TechFios has built a model to help people land them.
The Shifting Ground Under Entry Level IT
The U.S. tech sector shed more than 191,000 jobs in 2023 and another 95,000 in 2024. In the first half of 2025 alone, nearly 142,000 tech workers were impacted by layoffs. The hardest hit were roles where automation could take over or outsourcing could reduce expenses.
QA testers saw routine test cases absorbed by automation frameworks. Junior developers found AI assistants writing the same snippets of code they once handled. IT support roles shrank as companies adopted AI powered chat systems that could answer common questions instantly.
A Stanford study confirmed the trend. Entry level IT and support jobs for workers aged twenty two to twenty five declined by six to thirteen percent in just three years. For an entire generation trying to break into technology, the traditional gateway has narrowed.
Where the Real Demand Is
While the headlines focus on layoffs, the Bureau of Labor Statistics paints a more complex picture.
- Software development roles are projected to grow nearly eighteen percent through 2033, five times faster than the average across professions.
- Cybersecurity positions are expected to expand by about eight to eleven percent over the same period.
- Cloud and DevOps engineers continue to rank among the most in demand roles on major job boards.
- Applied machine learning specialists are increasingly listed in job postings across banking, telecom, healthcare, and retail.
The jobs that pay the most are the jobs companies cannot afford to lose control of. They involve system security, identity management, critical deployments, and real time oversight.
QA Automation: No Longer a Guaranteed Path
TechFios’ own history mirrors these changes. For years, QA automation was the backbone of its placement program. The institute consistently placed about twenty students every month into QA jobs across U.S. companies. It was a dependable route into IT and one that provided room for growth.
That stability disappeared as QA became one of the most outsourced areas of technology. While demand for advanced automation supervisors still exists, the majority of entry level QA opportunities have either been replaced by AI or moved overseas. TechFios recognized the shift early and began building alternatives.
DevOps: Still Growing in Complexity
DevOps remains one of the most resilient career tracks. Automated pipelines are common, but they are not foolproof. Someone must design, monitor, and manage them. Outages, security failures, and deployment errors still require human intervention. Companies are investing in DevOps engineers who can combine cloud expertise with troubleshooting and supervision.
This is one area where TechFios has seen consistent placement success. Even when QA placements fell, DevOps students continued to land roles that averaged salaries well above the national median.
Cybersecurity and IAM: The New Priority
Identity and Access Management is one of the fastest growing areas of cybersecurity in the United States. The IAM market was valued at $7.36 billion in 2025 and is projected to nearly double to $15 billion by 2030, growing at a compound annual rate of more than 15 percent. This rapid climb reflects how critical identity protection has become as companies adopt Zero Trust security, biometric authentication, and decentralized identity systems. For job seekers, the trend is clear: IAM roles are not just in demand, they are essential. Salaries regularly top six figures, and unlike routine QA or support work, these jobs can not be outsourced. That is why TechFios has placed a major emphasis on IAM training, preparing students for one of the most resilient and high paying career tracks in IT.
Cybersecurity is no longer optional. With AI making hackers faster and breaches more sophisticated, companies are under relentless pressure to defend systems. Within cybersecurity, Identity and Access Management has become one of the hottest fields. IAM professionals decide who gets access to which systems, monitor permissions, and ensure compliance with regulations.
Unlike routine testing or coding, IAM cannot be outsourced easily. The stakes are too high. Companies prefer to keep these roles in house, and they are willing to pay for qualified staff. Salaries often start in the high five figures and climb quickly into six figures as experience builds.
TechFios added IAM to its curriculum to meet this demand. The program trains students in the real world tools and frameworks companies use every day, preparing them for jobs that are difficult to fill and critical to protect.
Machine Learning: From Buzzword to Career Path
Machine learning is another area where demand is rising fast. It is no longer limited to research labs or PhDs. Companies across industries are integrating machine learning into daily operations. Banks use it for fraud detection, healthcare organizations use it for diagnostics, and telecoms use it to optimize networks.
But algorithms alone do not deliver value. Businesses need professionals who can deploy models responsibly, monitor outputs, and adapt them to real business problems. This is where TechFios’ machine learning program fits in. Students learn not just the theory, but how to apply models in production. Graduates are stepping into roles with salaries that range from ninety thousand dollars to one hundred and fifty thousand dollars.
Placement Trends Tell the Story
The evolution of TechFios placements over the last few years is a case study in how AI has reshaped the market.
- In the early years, QA automation and DevOps drove most placements. At its peak, TechFios placed about twenty students per month into these roles.
- By 2023, placements dipped as QA dried up and DevOps demand temporarily slowed.
- In 2024, the slump deepened, reflecting the broader downturn in tech hiring.
- In 2025, placements are rising again, fueled by new programs in cybersecurity, IAM, and machine learning.
TechFios reports that its placement rates are about twenty five percent higher than most other bootcamps in the U.S. Its graduates regularly land jobs with Fortune 500 companies, and salaries now range from seventy five thousand to one hundred and fifty thousand dollars.
U.S. Cybersecurity Market Growth (2024–2030)
- The U.S. cybersecurity market reached roughly $65.7 billion in 2024.
- It’s projected to climb to approximately $120.4 billion by 2030, growing at a compound annual rate of 10.6 percent.
What It Means for TechFios and Its Students
This explosive growth signals sustained demand for cybersecurity professionals — especially in high-stakes areas like Identity and Access Management, cloud protection, and incident response. For TechFios, these aren’t hypothetical jobs; they’re opportunities with real salaries, often ranging $75,000 to $150,000, in fields that aren’t easily outsourced.
Let me know if you’d like complementary visuals — like a salary comparison chart or a timeline of placement trends — to round out the data storytelling.
Here’s a line chart of the U.S. cybersecurity market showing steady growth from $65.7 billion in 2024 to $120.4 billion in 2030.
This chart is perfect for highlighting why cybersecurity and IAM jobs are booming in the U.S., and why TechFios is preparing students for these roles that can’t be outsourced.
Why Employers Still Hire TechFios Graduates
Employers continue to hire TechFios graduates for one reason: trust. They know students arrive with more than just certifications. They bring hands on experience, project work, and the ability to think critically under pressure.
Placement specialists at TechFios note that many current students are not complete beginners. They are mid career professionals who lost QA or developer jobs to AI. By retraining in cybersecurity, IAM, or machine learning, they are reentering the market at a higher level.
This adaptability is why TechFios has thrived while some other training providers have shut down.
The Outlook for 2025 and Beyond
The U.S. IT market is in transition. Some roles are shrinking, but others are opening in equal measure. The difference is in who is prepared.
- Companies will continue outsourcing routine tasks.
- AI will keep replacing repetitive coding and testing.
- Cybersecurity, IAM, DevOps, and applied machine learning will remain in demand.
For those willing to retrain, the future looks far brighter than the headlines suggest.
Breaking into top high paying IT jobs in 2025 requires more than luck. It requires knowing where the demand is and preparing for roles that AI and outsourcing cannot touch.
TechFios has built a roadmap for that journey. From QA and DevOps roots to new programs in cybersecurity, IAM, and machine learning, the institute has evolved with the market. Its placement record proves the strategy works. Salaries between seventy five thousand and one hundred and fifty thousand dollars are not theoretical; they are what TechFios graduates are earning today.
For anyone looking to stay employable in an era of rapid change, the lesson is clear. AI will not eliminate every job, but it will reshape the market. The people who thrive will be those who train for the roles that AI cannot do. TechFios is showing exactly how to get there.