TL;DR
• Will AI replace financial advisors? No, but it's rewriting the job. BLS projects advisors at +1% and financial managers at +10% from 2025 to 2035, while AI already drafts meeting notes, research answers and first-pass reports.
• The work that automates first is junior production: reports, notes, data pulls, loan processing and back-office checks.
• Growth sits in client trust, complex planning, FP&A business partnering and risk judgment.
• Your move as a student: show you can build a model yourself and catch the mistakes in an AI-built one, then get real project experience before recruiting opens.
Externships are short, remote professional experience programs where you work on real projects for real companies, with guidance from people in the field. The Attronica Financial Planning & Analysis and Private Company Valuation Externship, the Yinan Zhao Investing & Financial Modeling Externship and the HP Tech Ventures Venture Capital: Deal Sourcing & Startup Analysis Externship give you finance work to point to in interviews. Explore all Externships.
Will AI Replace Financial Advisors and Finance Jobs?
Will AI replace financial advisors? Not on any timeline that matters for your first job. Our verdict for finance overall is Transforming: the Bureau of Labor Statistics still projects growth for most finance occupations through 2035, but the routine production work that used to fill a junior analyst's week is exactly what AI now does fastest.
The Short Answer
Finance isn't disappearing, but the bottom rung of the ladder is getting rebuilt. BLS projects financial managers to grow 10% and financial analysts 7% from 2025 to 2035, with personal financial advisors close to flat at 1%. Meanwhile, big banks have put AI assistants in front of most of their staff.
So the jobs survive. The tasks inside them change.
Having sat down with thousands of students one-on-one, we hear the same worry from finance majors every semester: "Am I training for a job a chatbot will do?" It's a fair question. Some first-year analyst tasks are already automated, and others are growing.
And which side you land on depends on what you learn now. For the cross-industry picture, see our guide to jobs AI won't replace. This article stays inside finance.
The AI Exposure Scorecard for Finance
We use the same five rows for every field in this series. Here's finance.
| Scorecard row | Finance (advisors, analysts, FP&A, lending) |
|---|---|
| Task exposure | BLS AI exposure category: Very high for personal financial advisors, financial analysts and financial managers (BLS, Aug 2026). Anthropic observed exposure: financial analysts 0.57, #9 of 756 occupations (Mar 2026). Microsoft AI applicability: personal financial advisors #20 of 785 (Jul 2025). |
| Job outlook | BLS 2025-35: financial managers +10% (about 65,600 openings a year), financial analysts +7%, personal financial advisors +1%, loan officers +1%. |
| Entry-level hiring signal | US "financial analyst" postings in Extern's daily tracker: about 11,400 (July 2026 average) to about 13,600 (October 2026 average). Burning Glass Institute (Jul 2025) lists financial analysts among roles losing junior demand. |
| Most exposed role | Bank operations and back office; credit analysts (BLS projects -4%, 2025-35) |
| Least exposed role | Financial managers and FP&A leads; advisors doing complex planning |
| Verdict | Transforming |
Sources: BLS AI exposure categories (Aug 2026), Anthropic labor market impacts (Mar 2026), Microsoft Research, Working with AI (Jul 2025), BLS Occupational Outlook Handbook (2025-35 projections), Extern posting tracker (Adzuna counts, Jul to Oct 2026).
One thing in that table looks contradictory. Microsoft ranks advisors near the top, while Anthropic puts financial analysts far above advisors. They measure different things: Microsoft's score reflects what people ask a search copilot, and plenty of consumers ask money questions. That says nothing about whether they'd fire their advisor.
But BLS blends both studies (plus three others) into its category, and every finance role here lands in "Very high." High exposure isn't a forecast of job loss, and BLS says so itself.

What Parts of Finance Work Is AI Already Doing?
AI in finance today mostly writes, summarizes and processes. It drafts advisor meeting notes, answers questions from a firm's research library, summarizes long documents, rebalances simple portfolios and handles routine loan paperwork. A person still owns the advice, the judgment call and the client relationship.
Tasks AI Handles Today
These aren't predictions. They're tools banks have announced in public.
| Finance task | What AI does today | What still needs a person |
|---|---|---|
| Advisor meeting notes | Drafts notes, action items and a follow-up email, then saves the note to the CRM, with client consent (Morgan Stanley Debrief, 2024) | Running the meeting, giving the advice, editing and sending |
| Research questions | Answers advisor questions from the firm's own research and documents (AI @ Morgan Stanley Assistant, 2024) | Fitting the answer to one client's goals, taxes and family |
| Document summaries and first drafts | Summarizes complex documents and drafts content behind the firewall (Goldman Sachs GS AI Assistant, firmwide since 2025) | Checking accuracy and deciding what actually matters |
| Portfolio rebalancing | Robo-advisors rebalance and harvest tax losses automatically | Behavioral coaching, estate planning, tax coordination |
| Loan processing | Handles documents and routine processing steps (BLS cites this technology as a drag on loan officer growth) | Credit judgment on unusual borrowers and relationships |
| Trade execution | Automated trading systems execute orders, which BLS says has reduced demand for traders | Specialized sales and client coverage |
| Transaction screening | At JPMorgan, AI let the bank review more than double the volume while halving manual operator checks (2026 shareholder letter) | Final calls on flagged cases and accountability to regulators |
Start with Morgan Stanley, the clearest wealth-management example. According to InvestmentNews (June 2024), the firm launched Debrief to write up client meetings, and it said 98% of advisor teams were using its AI Assistant. That's 2024 data. At Goldman Sachs, Fortune reported in June 2025 that the GS AI Assistant went firmwide after more than 10,000 employees tested it, and the firm said it had no current plans for the tool to replace jobs.
So notice what both tools do: they take over the typing, not the client.
Why Robo-Advisors Didn't Wipe Out Advisors
Robo-advisors were supposed to be the advisor killer a decade ago. JPMorgan told clients in December 2023 that its Automated Investing robo service would close in the second quarter of 2024, and a spokeswoman said robo investing "did not take off in the wealth industry as expected," according to Financial Planning.
That doesn't mean robo-advisors are failing everywhere. We couldn't find a reliable, dated industry-wide total for robo assets, so we won't pretend to know the trend.
Yet the BLS outlook for personal financial advisors puts it plainly: AI tools "may moderate demand" for advisors, while many people keep using humans for complex, specialized advice. It's the only finance page in the handbook that names AI at all.

What Does the Job Data Actually Say?
The data points two ways at once. BLS projects growth for most finance occupations through 2035, and the postings Extern tracks rose from July to October 2026. But early-career research finds young workers in AI-exposed occupations losing ground, and a bank-tech survey expects modest net cuts concentrated in back-office roles.
The BLS Outlook Through 2035
Here are the five big finance occupations, using BLS 2025-35 projections and May 2025 median pay:
• Financial managers: +10%, about 65,600 openings a year, $166,570 median pay. This group includes FP&A leads, controllers and treasurers.
• Financial and investment analysts: +7%, $103,570 median pay.
• Personal financial advisors: +1%, about 17,100 openings a year, $105,070 median pay.
• Loan officers: +1%, $76,690 median pay.
• Securities, commodities and financial services sales agents: +1%, $78,660 median pay.
For context, BLS projects all US employment to grow about 3.5% over the same decade, so managers and analysts beat the economy while client-facing sales and advisory roles stay roughly flat. Even a flat occupation has thousands of openings a year as people retire or switch careers.
What about new grads specifically? The New York Fed's recent-graduate data for 2024 shows finance majors at 2.8% unemployment and 27.8% underemployment, with an early-career median wage of $70,000. That's better than most business majors. It isn't an AI measure, and the NY Fed doesn't attribute it to AI.
From Extern's Data: Postings and Pay
In US job-posting counts Extern tracks daily (Adzuna, July to October 2026), live "financial analyst" postings went from about 11,400 to about 13,600, comparing the July and October monthly averages. That's a rise, not a collapse.
Who's hiring students? Employers posting the most finance internships in Extern's posting tracker (Aug to Nov 2026) were Edward Jones, Baird, Jefferies, Barclays and Citi. None of them is an Extern partner; they're simply where the listings are. Across 20 finance internship listings with employer-published hourly pay, the median was $26.75 an hour, with the middle half between $23.40 and $36.40.
What Early-Career Research Shows
Here's the uncomfortable part. Stanford's Digital Economy Lab found that employment of 22- to 25-year-olds in the most AI-exposed occupations is about 19% below where it would be if it had kept pace with less-exposed jobs (Canaries update, August 2026, ADP payroll data through June 2026). The gap comes mostly from fewer hires, not layoffs. The authors are careful: it's descriptive, not proof that AI caused it, and the study doesn't single out finance occupations.
Now the other side. Yale's Budget Lab, in its tracker updated October 2026, still doesn't see the occupational mix shifting in ways that clearly line up with AI. And Bloomberg Intelligence surveyed bank CIOs and CTOs in January 2025: on average they expected a net 3% workforce cut over three to five years, with back office, middle office and operations most at risk (Bloomberg Law). That's a forecast from executives, not jobs already gone.
So which is it? Probably both. No broad wipeout, but a real squeeze on the routine entry points.
Live US job postings, July vs October 2026
Average daily count of live postings matching each title. Postings are not hires, and counts move with the hiring season.
Source: Extern job-posting tracker (daily Adzuna counts, US), July 6 to October 31, 2026.
Which Finance Jobs Are Safest, and Which Are Most at Risk?
The safest finance jobs mix judgment, accountability and relationships: financial managers, FP&A leads and advisors doing complex planning. The most exposed are processing-heavy roles, especially bank operations and credit analysis, where standard work is easiest to automate.
| Role | AI exposure | BLS outlook 2025-35 | Why |
|---|---|---|---|
| Bank operations / back office | High (most at risk in the Bloomberg Intelligence bank survey) | Not one BLS occupation | Processing and checks automate; JPMorgan expects operations staff to fall at least 10% over five years |
| Credit analyst | Very high (BLS) | -4% | Standard credit write-ups automate; Goldman Sachs Research lists credit analysts among the highest-risk occupations |
| Loan officer | Medium in usage studies (Anthropic #126, Microsoft #165) | +1% | Processing is automated; unusual borrowers and relationships stay human |
| Securities sales agent | Very high (BLS) | +1% | Automated trading already cut trader demand; specialized client roles remain |
| Personal financial advisor | Very high (BLS); Microsoft #20, Anthropic #48 | +1% | AI handles notes, research and rebalancing; trust and complex planning stay human |
| Financial / FP&A analyst | Very high (BLS); Anthropic #9 | +7% | Routine reporting automates; business partnering and model judgment grow |
| Financial manager (FP&A lead, controller, treasurer) | Very high (BLS); Microsoft #376 | +10% | Oversight, risk and accountability; AI raises what each manager can cover |
Projected US employment change, 2025-35
BLS projections by occupation. Dashed line = 3.5% average for all occupations.
Source: U.S. Bureau of Labor Statistics, Employment Projections 2025-35 (released August 2026).
Sources: BLS OOH and AI exposure categories (Aug 2026), Anthropic (Mar 2026), Microsoft Research (Jul 2025), Bloomberg Intelligence via Bloomberg Law (Jan 2025), CNBC (Sep 2025), Goldman Sachs Research (Aug 2025).
The Roles Under the Most Pressure
Operations comes first. JPMorgan's consumer-banking chief told investors in May 2025 that operations staff "would fall by at least 10%" over five years, as CNBC reported in September 2025. Credit analysis is next: BLS projects credit analysts to shrink about 4% through 2035, and Goldman Sachs Research (August 2025) put credit analysts on its list of occupations most at risk of displacement.
And investment banking analysts face their own version of this squeeze, with pitch books and comps in the crosshairs. We cover that in will investment bankers be replaced by AI. And if you're weighing accounting too, our sibling piece on whether AI will replace accountants walks through audit and tax.
The Roles With the Most Room to Grow
Financial managers lead the group at +10%, and they're the people analysts report to. That's a good sign for anyone starting in FP&A: the destination role is growing.
Advisors are more interesting. Growth is only 1%, but the CFP Board (May 2025), citing Cerulli, says 105,887 advisors plan to retire within a decade. Some commentators think that shortage story is overstated, and we'd take it with some salt.
Still, a retiring workforce plus AI that handles the paperwork could open the advisor path wider for newcomers who are good with people.
The pattern across every row: production work (notes, reports, processing) automates. Judgment, relationships, risk and accountability carry the growth.
How Is AI Changing Entry-Level Finance Work?
Entry-level finance work is shifting from producing things to checking things. First-year analysts spend less time pulling data and formatting reports and more time verifying AI output, explaining numbers and talking to the business. Employers now expect AI fluency on day one, and some are hiring fewer juniors for the routine work.
The First-Year Analyst Job, Then and Now
Five years ago, a new FP&A or research analyst spent much of the week on mechanics. Pulling numbers from systems. Building the same variance table every month and writing first-draft commentary that nobody read twice. AI assistants now produce that in minutes.
What's left is harder, and honestly more interesting. You check whether the AI's number is actually right. You figure out why a cost line jumped and go ask the person who owns it. You decide what the CFO needs to see on one page.
The demand signal backs this up. The Burning Glass Institute's "No Country for Young Grads" report (July 2025) names financial analysts among the growing roles where demand for junior workers has weakened. And in NACE's spring 2026 employer survey, more than one-third of entry-level jobs required AI skills (nearly triple the fall 2025 share), and nearly 60% of employers said they assign interns projects using AI tools.
So read that last number again. If most employers hand interns AI projects, showing up without AI habits is the real risk.
Wealth Management and Lending Entry Points
The advisor trainee path looks different. Tools like Debrief take note-taking off a new advisor's plate, which frees time for the part rookies struggle with: building trust and a client book. It's a hard path. Cerulli's figures, again via the CFP Board, put the rookie advisor failure rate around 72%.
Lending is the quieter story. BLS links slow loan officer growth to fewer branches and to technology in loan processing. Standard mortgage and consumer files are the first to go automated, so the entry roles that hold up are in commercial lending and credit work with judgment attached.
From the recruiting side (our author's background includes years in recruitment process outsourcing), here's what that means for a resume screen. "Prepared monthly reports" reads like something an AI tool does. "Caught a miscoded expense line in an AI-drafted variance report" reads like a person a team needs. Same internship, very different line.

What Skills Make a Finance Professional Hard to Replace?
The finance skills that hold up are the ones AI can't own: building a model from scratch and defending its assumptions, catching errors in AI output, working with real data, explaining numbers to non-finance people, judging credit and risk, and knowing the rules. Each one needs proof you can show, not just a line on your resume.
Six Skills and How to Prove Each One
Students already feel the pressure. In the CFA Institute's 2025 Graduate Outlook Survey of 9,023 people aged 18 to 25 in 11 markets, 67% feared AI could hurt their career ambitions, and 40% said AI skills would significantly improve their job prospects. Here's how to turn that worry into evidence.
1. Financial modeling with judgment. Build a three-statement model or DCF on a public company yourself, then write a one-page memo defending your assumptions. CFA Level I or a modeling certificate helps, but the memo is the proof.
2. Checking AI output. Do the same company analysis twice, once by hand and once with an AI assistant, and log every error the AI made. That log is a great interview story.
3. Data skills. Excel first, then SQL, Python (pandas) or Power BI. A small project on public market or loan data beats a list of tools (our data analysts and AI guide goes deeper).
4. Client communication. Any deliverable you've presented to a real person counts. For the advisor path, the FINRA SIE exam can be taken without firm sponsorship.
5. Credit and risk judgment. Write a short credit memo on a real public borrower, something few students ever bother to do.
6. Regulation literacy. Know what rules like Regulation Best Interest mean for advisors. The SIE covers the basics.
Picking a major still? Our ranking of the best-paying AI-proof majors puts finance in context with the alternatives.
What Not to Bother Faking
Clever prompting isn't a skill on its own; employers want the finance judgment underneath it. A stack of certificates without one project doesn't move a screener much.
And we're not sure anyone can predict which tools firms will use in 2028, so learn the habits (verify, explain, document) rather than one product's buttons.
How Can You Get AI-Ready Finance Experience as a Student?
Start with three moves: apply to internships on finance's early calendar, build at least one modeling project you can defend, and get real project experience with a company so you can show judgment, not just coursework. Here's how to stack them.
Line Up Internships on the Right Calendar
Finance recruits earlier than almost any other field. Our finance internships summer 2027 guide tracks that cycle, and the bulge-bracket banking windows for summer 2027 are already closed. Sophomores should look at the next cycle: as of October 9, 2026, our summer 2028 finance internships guide found programs live at Evercore, Baird and three Big 4 firms, with most bulge brackets expected between November 2026 and January 2027.
If wealth management appeals to you, two places to start: our Edward Jones internship guide (Edward Jones posts more finance internships than anyone else in our tracker) and our Morgan Stanley Financial Advisor Associate program guide.
1. Pick your track. FP&A, wealth management, lending and markets each recruit on their own timeline, so decide which calendar you're on.
2. Set alerts now. Turn on careers-page alerts for your top 10 firms.
3. Build one model you can defend. Have it ready before the first interview, because someone will ask you to walk through it.
4. Add company project work. Real deliverables give you something to talk about.
Add Real Project Experience
Finance is one of the fields students most want to explore next in Extern's post-program survey (19.6% of responses, June 2026). At Extern, we've seen that the finance students who stand out in interviews can walk through one real deliverable: what the numbers said, what they recommended, and what they'd change.
Externships run 4 to 11 weeks (most commonly 8), remotely, at about 5 to 10 hours a week, with an extern manager guiding you. Three that fit this field:
• The Attronica Financial Planning & Analysis and Private Company Valuation Externship if FP&A or valuation is your target.
• The Yinan Zhao Investing & Financial Modeling Externship for modeling and investment analysis.
• The HP Tech Ventures Venture Capital: Deal Sourcing & Startup Analysis Externship if you're curious about startups and the investor side.
None of this is a shortcut, and an Externship won't stand in for a bank's summer program on its own.
But it gives you a real project to discuss when a recruiter asks what you've actually done. 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 financial analysts?
Not in the next few years, but the entry-level version of the job is changing fast. Financial analysts rank among the most AI-exposed occupations in Anthropic's usage data, yet BLS still projects 7% growth from 2025 to 2035. Expect less time pulling data and formatting, and more time checking models and explaining results.
Will robo-advisors replace human financial advisors?
So far, no. Robo-advisors handle simple rebalancing cheaply, but JPMorgan closed its own robo service in 2024 because it never became profitable. BLS expects many people to keep paying human advisors for complex planning, taxes and estate questions. The likely future is advisors who use automated tools, not tools without advisors.
Is finance safe from AI?
No field is fully safe, and finance has some of the most exposed tasks in the economy. But exposed doesn't mean disappearing. BLS projects growth for financial managers and analysts through 2035. The risk sits in routine production and processing work, so build skills in judgment, modeling and client communication early.
Is finance still a good major in 2026?
For most students, yes. NY Fed data for 2024 shows recent finance graduates with 2.8% unemployment, one of the lower rates among majors, and an early-career median wage around $70,000. The catch is that you'll need AI fluency and real project experience, because routine first-year tasks are shrinking.
Will AI replace loan officers?
Not entirely, but slow growth is likely. BLS projects loan officers at about 1% growth from 2025 to 2035 and points to technology in loan processing as one reason. Standard applications get automated first. Officers who handle unusual borrowers, commercial credit and long client relationships hold up best.
What finance jobs are safest from AI?
Roles built on judgment, accountability and relationships. Financial managers, including FP&A leads, controllers and treasurers, are projected to grow about 10% through 2035, the fastest rate in this group. Advisors doing complex planning also hold up. Bank operations and processing roles face the most pressure, according to bank-tech executives surveyed.
How long until AI changes finance jobs?
It's already happening. Morgan Stanley's advisors have used AI meeting notes since 2024, and big banks gave most staff access to AI assistants in 2025. Bank-tech leaders surveyed by Bloomberg Intelligence expect net cuts of about 3% over three to five years, concentrated in back and middle office roles.
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.


