Yes, radiology is in high demand and projected to stay that way for decades. The United States faces a growing gap between the number of imaging studies ordered and the number of radiologists available to read them. The Association of American Medical Colleges projects a total physician shortage of 13,500 to 86,000 by 2036, with radiology falling within a specialty category estimating a combined shortfall of 19,500 physicians. That shortage, paired with steadily rising imaging volumes, makes radiology one of the more secure career paths in healthcare.
Why Imaging Demand Keeps Growing
The single biggest driver is simple: there are more people. A 2025 study published in the Journal of the American College of Radiology projected U.S. imaging utilization out to 2055 and found that population growth accounts for 73% to 88% of increases across all imaging types, including CT, MRI, and PET scans. Population aging accounts for another 12% to 27%. As baby boomers move deeper into the age range where cancer screening, cardiovascular monitoring, and orthopedic imaging become routine, the volume of scans will climb regardless of any other factor.
This isn’t speculative. Imaging volumes have already been rising for years, and the demographic math guarantees continued growth. More people plus older people equals more scans, and every one of those scans needs a trained professional to perform it or interpret it.
Job Growth and Salary Numbers
The Bureau of Labor Statistics projects 3% employment growth for radiologists from 2024 to 2034, which matches the average across all occupations. That may sound modest, but it translates to roughly 800 new radiologist positions on top of a base of 28,200, and it doesn’t capture the replacement demand created when existing radiologists retire or leave the field.
For radiologic and MRI technologists (the professionals who operate imaging equipment rather than interpret results), the picture is similarly stable. The median pay for radiologic technologists was $77,660 in 2024, while MRI technologists earned a median of $88,180. The top 10% of MRI technologists earned over $121,420. Pay varies significantly by setting: MRI technologists working in outpatient care centers earned a median of $128,290, compared to $83,970 in physicians’ offices. Radiologic technologists in federal government roles earned $93,970, well above the national median.
Which Subspecialties Are Hardest to Fill
Not all areas of radiology face equal demand. The 2021 ACR/RBMA Workforce Survey found that body imaging and breast imaging radiologists each represented 17% of all hires that year, making them the two most commonly recruited subspecialties. Neuroradiologists and interventional radiologists were also among the top hires.
Looking ahead, 37% of radiology practices identified breast imaging as their most important hiring need for 2022, followed by body imaging at 35%. Cardiovascular radiology, emergency and trauma radiology, neuroradiology, and general radiology all saw growing demand compared to the prior year. If you’re considering radiology training, choosing one of these subspecialties could give you more leverage in the job market.
How AI Is Changing the Workload
A common concern is whether artificial intelligence will replace radiologists. The short answer: AI is making radiologists faster, not redundant. A narrative review of 66 studies on AI in MRI workflows found that about 53% demonstrated clear productivity gains. The most striking improvements came in scan time reduction, where 85% of studies showed positive results. One deep learning tool cut MRI sequence times by 60%, dropping scans from nearly 5 minutes down to under 3 minutes without sacrificing image quality.
On the interpretation side, AI tools are shaving significant time off individual reads. Deep learning-assisted radiologists reduced their interpretation time for spine MRI studies from an average of 124 to 274 seconds down to 47 to 71 seconds per study. An AI system for cardiac imaging delivered measurements in 2.6 seconds compared to a cardiologist’s average of 334 seconds. These tools handle repetitive measurements and flag normal exams so radiologists can focus on complex cases.
The practical effect is that AI helps radiologists keep pace with rising volumes rather than eliminating the need for them. Radiologists currently analyze roughly one image every 3 to 4 seconds during an 8-hour workday to meet demand. AI automates routine tasks like organ segmentation (which can save over 160 seconds per case for liver imaging alone) and pre-screens normal exams. But a human radiologist still makes the final call on diagnoses, communicates with referring physicians, and handles ambiguous findings that algorithms can’t reliably resolve.
There’s one caveat worth noting: frequent AI use may paradoxically increase burnout risk if the tools aren’t well integrated into existing workflows or if radiologists feel dissatisfied with how they’re implemented. The technology helps, but only when adoption is handled thoughtfully.
The Burnout Factor
Burnout is a real issue in radiology and contributes directly to workforce shortages. When radiologists leave practice early or reduce their hours due to exhaustion, the remaining physicians absorb even more volume, creating a cycle that widens the supply gap. The AAMC’s projection of physician shortages by 2036 accounts for these retention problems, and the American College of Radiology has flagged burnout as a key factor fueling workforce challenges across the specialty.
For someone entering the field, this cuts both ways. High demand means job security and negotiating power, but it also means the workload pressures that cause burnout aren’t going away soon. Choosing a practice setting with manageable volumes and strong support staff matters more than it might in a less-strained specialty.
What This Means for Career Decisions
If you’re weighing radiology as a career path, the demand picture is favorable at every level. Technologists benefit from steady median pay in the high $70,000s to high $80,000s, with six-figure earnings achievable in outpatient settings or federal roles. Radiologists face a job market where practices are actively struggling to fill positions, particularly in breast imaging, body imaging, and neuroradiology.
The demographic forces driving imaging growth are locked in for the next 30 years. AI will reshape daily workflows but is expanding what radiologists can accomplish rather than shrinking the number of positions available. Combined with an aging physician workforce that will generate replacement demand as current radiologists retire, the field offers strong long-term job security with multiple entry points depending on your level of training.