TL;DR
• Will AI take over healthcare jobs on the business side? Mostly no. BLS projects medical and health services managers to grow 24.2% from 2025 to 2035, against a 3.5% average. The part that's shrinking is manual coding, billing and claims work.
• AI already suggests billing codes, drafts prior-authorization paperwork and appeal letters, and writes first drafts of clinical trial documents. People still review it, decide and sign.
• Operations, health data and clinical trial roles are growing. Pharma sales is flat, with AI taking over call prep and admin rather than the reps themselves.
• The move now: aim one rung above manual revenue-cycle work, and build proof with a health-data project, an operations project or real project experience with a healthcare company.
Externships are short, remote professional experience programs where you work on real projects for real companies, with guidance from people in the field. The Institute of Mental Health Healthcare Operations & Consulting Externship, the TruBridge Healthcare Data Analytics Externship and the Pfizer Document Insights & Data Extraction Externship put you on the exact work this article is about. Explore all Externships.
Will AI Take Over Healthcare Jobs on the Business Side?
No, not the business side as a whole. Healthcare operations, consulting, data and pharma commercial roles are projected to keep growing through 2035. AI is taking over the clerical layer underneath them: keying codes, posting payments, assembling prior-auth paperwork. If you planned to start there, pick a different first rung.
The Short Answer
Business-side healthcare jobs are growing with AI, not disappearing because of it. The Bureau of Labor Statistics projects medical and health services managers to grow 24.2% between 2025 and 2035, with about 62,300 openings a year. That's roughly seven times the 3.5% average. An aging population drives it, and AI doesn't change how old patients are.
So why does it feel shaky? Because the jobs students used to take first, like medical coder or billing specialist, are the ones AI tools now handle. Having sat down with thousands of students one-on-one, we hear one worry over and over: "Is there an entry-level job left for me?" There is. It just looks different.
We're covering business roles only here. For the broad "which careers are safe" question, see our guide to jobs AI won't replace.
The AI Exposure Scorecard for Healthcare Business Roles
Every article in this series uses the same scorecard. Here, almost everything scores high on exposure, and almost everything still grows.
| Scorecard row | Healthcare and pharma business roles (as of November 2026) |
|---|---|
| Task exposure | BLS AI exposure (August 2026): High for health services managers; Very high for management analysts, health information and records roles, and pharma sales reps. Microsoft ranks management analysts 23rd of 785 occupations, health services managers 340th. |
| Job outlook | BLS 2025-35: medical and health services managers +24.2% (62,300 openings a year), health information technologists and medical registrars +15.9%, management analysts +10.1%. Average for all occupations: +3.5%. |
| Entry-level hiring signal | Mixed. Billing and posting clerks -0.1%, claims adjusters -5.5% (BLS 2025-35); health systems cut manual coding roles in 2025-26. Extern's tracker: 91 healthcare business internship listings from 38 employers (August to November 2026). |
| Most exposed role | Medical coder and revenue cycle specialist |
| Least exposed role | Medical and health services manager; clinical research coordinator |
| Verdict | Growing with AI (coding, billing and claims work shrinking) |
A note on that first row. BLS released its AI exposure categories in August 2026, and it says plainly that exposure "does not imply job loss." It shows where AI touches the work, not whether the job survives.
What Parts of Healthcare Business Work Is AI Already Doing?
AI already handles the paperwork-heavy middle of healthcare: suggesting billing codes, assembling prior-authorization requests, drafting appeal letters and writing first drafts of trial documents. In almost every case, a person still checks the output and makes the final call.
Revenue Cycle, Coding and Prior Authorization
The revenue cycle is how providers get paid, from coding a visit to fighting a denied claim. AI has moved fastest here. According to a 2025 HFMA poll of 101 healthcare organizations, 63% use AI or automation in the revenue cycle, and 48% apply it to documentation and coding. Only 15% report a positive return so far, though. Adoption isn't the same as savings.
| Task | What AI does today | What still needs a person |
|---|---|---|
| Visit documentation | Ambient scribes draft visit notes | The clinician reviews, edits and signs the note |
| Medical coding | Suggests billing codes from the chart | Coders audit suggestions, handle complex cases and exceptions |
| Prior authorization | Gathers records and assembles the request | Clinicians make coverage decisions |
| Denials and appeals | Predicts likely denials and drafts appeal letters | Analysts pick which fights to take and negotiate with payers |
| Clinical trial planning | Drafts protocols, flags site and supply risks | Experts refine the design and make go or no-go decisions |
| Pharma field prep | Builds call plans, targeting lists and post-meeting reports | Reps build relationships and earn access with physicians |
And the physician side feeds this. The AMA's March 2026 survey of about 1,700 physicians found 28% use AI for billing codes, charts or visit notes. Cleaner notes upstream mean less manual cleanup downstream. That's the coding job, shrinking from both ends.
Pharma: Trials, Analytics and the Field Force
Big pharma talks about AI mostly as a way to speed up work that already exists:
• Novartis described in July 2026 how AI drafts trial protocols, picks sites, flags recruitment risks and writes first drafts of clinical and regulatory documents. Experts review the drafts and make the decisions.
• Sanofi launched its company-wide plai app back in 2023 and said it predicted 80% of low-inventory positions. It's an older claim.
• Pfizer told investors in its Q2 2026 prepared remarks that AI is "helping to make our commercial field force more effective." No headcount number came with it.
Why the field force? Deloitte estimated in May 2026 that biopharma reps spend roughly two-thirds of the day on research, scheduling and admin. AI is aimed at that two-thirds.
What AI in Biotech Means for Jobs
AI in biotech is speeding up early research. In June 2025, Insilico Medicine published Phase IIa results in Nature Medicine for rentosertib, a drug whose target and molecule were both found with AI. The trial had 71 patients. Insilico claims it reached a preclinical candidate in 12 to 18 months, versus a typical 2.5 to 4 years. Company number, though.
But faster discovery doesn't mean fewer people. Someone still runs the experiments, manages trial sites, writes the regulatory file and analyzes results, and many of those roles sit outside the lab.
What Does the Job Data Actually Say?
Healthcare keeps hiring while its admin layer shrinks. BLS expects healthcare and social assistance to produce about 37% of new US jobs from 2025 to 2035, while office and administrative support declines 4.0%. Early-career AI research shows a squeeze, but none isolates healthcare.
BLS: Healthcare Keeps Adding Jobs, Admin Shrinks
According to the BLS 2025-35 projections released in August 2026, private healthcare and social assistance will add more than 2.2 million jobs (+9.5%). That's about 37% of every new job in the country. Office and administrative support, meanwhile, is projected to fall 4.0%, the steepest drop of any major group, and BLS links that to automation tools.
Put those side by side and you get this whole article. Healthcare is growing. The clerical jobs inside it aren't. BLS also calls its uncertainty very high, so treat the percentages as estimates.
From Extern's Data
We track US internship postings daily, and healthcare business internships are a small, specific market:
• 91 listings from 38 employers. That's how many healthcare business internship postings Extern's posting tracker logged from August to November 2026.
• Who posts the most. MSD (15), Oliver Wyman (9), Marsh McLennan (9), Gilead Sciences (6) and Roche (5). These aren't Extern partners, just the employers posting the most in our data.
• A consulting thread. Two of the top three are consulting or advisory firms; our Oliver Wyman internship guide is a good start.
Only two of those postings published pay. Too few to quote, so we won't.
The Early-Career Research, and Its Limits
Stanford's Digital Economy Lab found in its August 2026 update that employment of 22- to 25-year-olds in highly AI-exposed jobs runs about 19% below the path of less-exposed peers. The gap comes mostly from fewer hires, not layoffs. The authors don't claim AI caused it, and they flag healthcare as a sector where their payroll data and national surveys disagree most. So we can't apply that number to healthcare.
Meanwhile, the Yale Budget Lab's tracker (October 2026) still finds no clear AI footprint in overall employment. Both can be true.
And inside health systems, adoption is earlier than the hype. Deloitte's 2026 Global Health Care Outlook (180 health system executives, fielded mid-2025) found about 30% running generative AI at scale in select areas, but only 2% enterprise-wide.
Which Healthcare Business Jobs Are Safest, and Which Are Most at Risk?
The safest roles combine people, judgment and compliance: health services managers and clinical research coordinators. The most at risk are rules-based, high-volume roles like manual coding and claims processing. Consulting, data and pharma commercial roles sit in between: highly exposed to AI, still projected to grow.
Seven Roles Compared
Exposure below comes from the BLS category and Microsoft's ranking; outlook is BLS 2025-35.
| Role | AI exposure | BLS outlook 2025-35 | Why |
|---|---|---|---|
| Medical and health services manager | Medium (BLS High; Microsoft rank 340 of 785) | +24.2% | Aging-population demand; people management, compliance and operations judgment |
| Clinical research coordinator | Medium | No BLS code of its own; 64.6% of research sites report shortages (Advarra, 2025) | AI drafts documents; consent, patient visits and site management stay human |
| Health data and health information analyst | High (BLS Very high) | +15.9% (health information technologists) | AI extracts data; people govern and interpret it |
| Healthcare consultant (management analyst) | High (BLS Very high; Microsoft rank 23) | +10.1% | Research and slides are automatable; client judgment and implementation aren't |
| Pharma brand or market access analyst | High (BLS Very high) | +7.0% (market research analysts, a proxy) | Content and analytics automate; payer strategy and compliance stay human |
| Pharma sales rep | High (BLS Very high; Microsoft rank 75) | +1.2%, flat | Call prep and targeting automate; relationships and access don't |
| Medical coder and revenue cycle specialist | High (BLS Very high) | +7.8% (medical records specialists), with documented layoffs | The most direct automation target; exception work remains |
Projected US employment change, 2025-35
BLS projections by occupation. Dashed line = 3.5% average for all occupations. Business-side roles only. Pharma sales reps sit in the technical wholesale sales code.
Source: U.S. Bureau of Labor Statistics, Employment Projections 2025-35 (released August 2026).
Comparing degrees instead? See the best-paying AI-proof majors. Consulting gets its own look in will consultants be replaced by AI.
The Pattern
Manual coding, billing and claims processing shrinks. Management, data governance and trial operations grow.
And the cuts are already visible. Revere Health in Utah announced 177 layoffs in 2025 after partnering on automated claims processing, per a state notice reported by HealthExec. In July 2026, Becker's reported that CoxHealth was cutting 53 roles, mainly manual medical coding, and Novant Health 31 revenue cycle roles. Clean AI story? Not quite. Some mix automation with outsourcing.
How Is AI Changing Entry-Level Healthcare Business Work?
Entry-level work is moving from doing the routine task to checking the machine that does it. Junior revenue cycle staff review AI-suggested codes and work the exceptions. Junior clinical operations staff edit AI first drafts. Employers now expect AI comfort on day one.
What a First-Year Analyst Does Now
Five years ago, a new revenue cycle analyst might spend the day keying codes. Today the software suggests them, and the analyst works the leftovers: denied claims, odd cases, audits. That's our reading of the sources above, not an employer survey, so take it as a sketch.
Pharma looks similar. When Novartis has AI write first drafts of regulatory documents, the junior person on that team stops being the drafter and becomes the reviewer. Is that harder? Honestly, yes. Reviewing well means knowing what right looks like before you've had years of writing it yourself.
What Employers Expect on Day One
According to NACE's spring 2026 survey, more than one-third of entry-level jobs now require AI skills, nearly triple the share in fall 2025. The same April 2026 NACE report found nearly 60% of employers assign interns projects that use AI tools.
So postings are shifting. Indeed Hiring Lab found in September 2026 that in the most AI-exposed occupations, the entry-level share of postings fell from 29% in 2021 to 10% in 2026. It's based on salaried postings, and Indeed calls the split "suggestive." Yet it matches what students tell us.
Where the Shortage Is
Most "AI is coming" articles skip this part: some healthcare business roles can't find enough people. In Advarra's 2025 workforce survey of research sites (fielded in late 2024 with ACRP), 64.6% reported shortages of clinical research coordinators, the highest of any research role. Advarra also cites an outside estimate that CRC jobs outnumber candidates about seven to one.
That's not a market AI is emptying. It needs people who can run a study site.
What Skills Make You Hard to Replace in Healthcare Business Roles?
The skills that hold up combine healthcare know-how with data and judgment: revenue cycle analytics, health data tools, process improvement, AI output review, regulatory literacy and payer communication. Each one is provable with a project or a credential, which matters more than listing it.
Six Skills and How to Prove Them
1. Revenue cycle and denial analytics. Know why claims get denied. Prove it with an Excel or SQL project on public CMS data; AAPC's CPC or AHIMA's RHIT help even if you never code full time.
2. Health data tools plus privacy rules. SQL, Python or Tableau with HIPAA basics, shown in a dashboard on public health data. Our piece on whether data analysts will be replaced by AI covers that role.
3. Operations and process improvement. A Lean Six Sigma Yellow Belt, or a project redesigning prior-auth turnaround, shows it.
4. AI output review. Audit an AI summary or code suggestions against source records and write up the error rate. Almost nobody has this on a resume yet.
5. Regulatory literacy. Prior-auth rules for operations, Good Clinical Practice for trials (CITI GCP training is a common start).
6. Payer and stakeholder communication. Market access and consulting both mean explaining value to a skeptic. A client-style deck counts.
From the recruiting side (our author spent years in recruitment process outsourcing), screeners skim skill lists. They stop at a line naming a tool, a dataset and a result.
How Can You Get AI-Ready Healthcare Business Experience as a Student?
Apply to internships on the fall-to-spring calendar, build a healthcare project on your own, and get real project experience with a healthcare or pharma company. That last one turns "interested in healthcare" into proof.
Internship Programs and Timing
If you're reading this in November 2026, you're mid-cycle for summer 2027:
1. Consulting. Big 4 healthcare practices and larger boutiques recruit mostly in early fall, while boutiques and health tech firms often run rolling deadlines into spring. Our healthcare consulting internships guide has the month-by-month view.
2. Pharma and biotech. The biggest wave of postings usually lands in October and November, with some companies posting on a rolling basis into March. The biotech and pharma internships guide lists the main programs.
3. Company deep dives. Learn two or three employers' programs cold, starting with our Novartis internship guide.
Externships in Healthcare and Pharma
A project for a real company shows you can use a skill with a deadline and a stakeholder. That's where an Externship fits: 4 to 11 weeks (most commonly 8), remote, with an extern manager guiding you.
Four November 2026 Externships line up with the roles in this article:
• The Institute of Mental Health Healthcare Operations & Consulting Externship for operations and consulting work.
• The TruBridge Healthcare Data Analytics Externship, since TruBridge builds revenue cycle and data tools for hospitals.
• The ARCeH Data Analytics, Health Outcomes Externship for public health data work.
• The Pfizer Document Insights & Data Extraction Externship, which is about as close to the "review the AI's draft" skill as it gets.
When we asked students who finished a project what they'd miss most without Extern, 31% pointed to real-world experience, the top answer (Extern survey, October 2025). At Extern, we've seen students with one real healthcare project stop saying "I'm passionate about healthcare" in interviews and start explaining a denial rate. When you're ready, browse current Externships.
Extern is not affiliated with, sponsored by or endorsed by any company, firm or organization named here. This article is based on publicly available information as of November 2026. Job data and company plans change, so check the original sources linked above.
Frequently Asked Questions
Will AI replace medical coders?
AI is replacing a lot of manual coding, but not every coder. Tools now suggest codes and draft appeals, and health systems like CoxHealth cut manual coding roles in 2026. BLS still projects medical records specialists to grow 7.8% from 2025 to 2035. Coders who audit AI output and work complex cases hold up best.
Will healthcare administration be replaced by AI?
The clerical layer is shrinking, but healthcare management is growing fast. BLS projects billing and posting clerks at -0.1% and claims adjusters at -5.5% for 2025 to 2035, while medical and health services managers grow 24.2%. If you're studying healthcare administration, aim for operations and management roles, not data entry.
Will AI replace doctors and nurses?
No. BLS rates physicians and registered nurses as "High" AI exposure, not "Very high," and projects nurse practitioners to grow 41% from 2025 to 2035, the fastest of any occupation. AI mostly helps with notes. The bigger change is on the business side, in coding, billing and claims work.
Is healthcare consulting safe from AI?
Safer than it looks, though the junior work is changing. Management analysts are "Very high" AI exposure, yet BLS still projects 10.1% growth from 2025 to 2035. AI drafts research and slides faster. Clients still pay for judgment, implementation and someone who understands how a hospital or payer actually runs.
Will AI replace pharmaceutical sales reps?
Not so far. BLS projects technical and scientific sales reps to grow 1.2% from 2025 to 2035, and we found no company tying rep cuts to AI. Pfizer says AI makes its field force more effective. Expect AI to handle call prep and admin while reps keep the relationships and access.
What does AI in biotech mean for jobs?
It speeds up early research more than it removes people. Insilico's rentosertib, with an AI-found target and AI-designed molecule, reached a 71-patient Phase IIa trial published in 2025. Scientists, trial managers, regulatory staff and data analysts still run the work. Biotech jobs reward people who can check AI output.
Which healthcare jobs will survive AI?
Roles built on judgment, people and compliance hold up best. On the business side that means health services managers, clinical research coordinators, health data analysts who govern data, and consultants who implement change. The roles most at risk are manual, rules-based ones like keying codes, posting payments and processing routine claims.
About the Author
Bifei Wang has spent 17 years focused on human flow and the growth of young professionals, spanning international education, career training and coaching, and recruitment process outsourcing. Over 7 years at Extern, he has had one-on-one sessions with thousands of students exploring careers in consulting, finance, tech, marketing, and data, giving him a firsthand view of how the job market has shifted for early-career professionals and what it actually takes to break in.
