$371,090estimated top of the range · middle $145,000 / yr
AI is transforming this role
Fund Managers in the United States earn a median of $145,000 a year. Pay starts near $80,000. The top of the range is estimated at $371,090. The Bureau of Labor Statistics does not publish a separate wage series for this exact title, so this figure is derived from the closest occupation it does track and is labelled an estimate.
Source: PayCrunch estimate. Last checked 9 September 2026.
Entry level
$80,000
Top-end estimate
$371,090
Education
Bachelor's degree in Finance; MBA preferred
Wages — PayCrunch estimate. The Bureau of Labor Statistics does not publish a separate wage series for Fund Manager; figures are derived from the closest occupation it does track and are labelled as estimates. AI-impact rating is PayCrunch's editorial assessment. Updated September 2026.
🆕 New & Trending AI Tools for Fund ManagerReviewed September 2026
We track new AI-tool launches every week and refresh this list — here’s what’s gaining traction for Fund Manager work right now.
NumericNEWPaid / see site
AI-driven month-end close, reconciliation, and reporting.
How a Fund Manager uses it: automate reconciliations and close the books faster
HebbiaNEWEnterprise / see site
AI that reads and analyzes large financial documents and filings.
How a Fund Manager uses it: pull answers out of contracts, filings, and reports in minutes
NotebookLMNEWFree / $7.99 mo
Google tool that answers questions grounded only in the documents you give it — with citations.
How a Fund Manager uses it: load your own manuals, policies, or PDFs and ask questions that stay accurate to the source
MindBridgeEnterprise / see site
AI that scans transactions for anomalies, errors, and fraud risk.
How a Fund Manager uses it: flag risky or unusual entries across the whole ledger, not just a sample
Vic.aiEnterprise / see site
Autonomous accounts-payable and invoice processing.
How a Fund Manager uses it: let AI code and process invoices with minimal manual entry
RampFree core / paid
Finance platform with AI that automates expenses and spend controls.
How a Fund Manager uses it: auto-categorize spend and catch policy issues in real time
Power BI Copilot$10+ mo
Microsoft analytics with AI that builds dashboards and explains trends.
How a Fund Manager uses it: ask questions of financial data and get charts and forecasts back
ChatGPTFree / $20 mo
The most-used AI assistant — writing, analysis, research, and images from a plain-language chat.
How a Fund Manager uses it: draft emails and documents, summarize long files, and get instant answers to on-the-job questions
ClaudeFree / $20 mo
AI assistant known for careful writing, long-document analysis, and coding.
How a Fund Manager uses it: analyze big reports or spreadsheets and turn messy notes into clean, finished writing
A portfolio with your name on the mandate
A fund manager runs a portfolio at an asset manager. The portfolio might be a mutual fund, a separate account for an institution, a hedge fund, or a sleeve inside a pension or an endowment. The mandate is the written job: what the portfolio is trying to do, which kinds of assets it may hold, and which risks the firm will not accept. Your name beside that mandate means the results, good and bad, come back to you. Analysts can be right in a memo. You are the person who owns the book.
The week is reading, meetings, and explanation. You read what your analysts found. You sit with the risk team when a limit is close. You talk with traders about what the portfolio needs done, and the trading desk carries out the transactions. You write or approve commentary that tells clients or an investment committee what happened and why, in language a fiduciary can stand behind. You do not spend the day as a commentator guessing in public. You spend it accountable to a document the firm already signed.
Styles differ, and the difference is the mandate, not a personality. One portfolio stays close to a benchmark the firm named. Another has more room. One holds equities. Another holds bonds or a mix the guidelines allow. A career description can stop at that. It will not tell you what to buy, what to sell, or how to time a market. Those choices are the job, made inside the firm's process, with research and risk limits. They are not a set of moves a guide should hand a stranger. If you want tactics, you want a different kind of writing, and you should not look for them here.
The people around you are analysts, traders, risk managers, compliance staff, and client teams. A good manager makes their work usable. A weak one hoards decisions and then blames the desk when a report surprises the client. You will also live with periods when the portfolio lags and everyone wants a story. The professional version is specific and calm: what the mandate allows, what you did inside it, and what you are watching. The unprofessional version is a promise about next quarter that the guidelines never authorized. You will also keep a record the firm can audit: why a change to the portfolio was made, which limit it respected, and who signed off when a limit needed an exception. That record is dull on a good day and priceless on a bad one. Managers who can reconstruct a decision without folklore sleep better when a client, a consultant, or a regulator asks what the book was doing. Folklore fails as a compliance program. The written mandate plus a written reason holds up.
A registration, when the seat requires one
Some seats need a FINRA registration or an adviser registration. A FINRA registration applies when the person works through a broker-dealer and the role requires it. FINRA is the self-regulatory organization that holds that registration. An adviser registration applies when the person gives advice as an investment adviser representative, on the rolls of the Securities and Exchange Commission or a state, depending on the firm. Investment Adviser Public Disclosure is where the public can see adviser records. In both cases the word that matters is registration. It means the regulator has the person on its roster for that type of activity.
Not every portfolio seat uses the same registration. A manager inside one kind of firm may need one. A manager inside another structure may sit under the firm's compliance program in a different way. Ask the employer which registration, if any, the seat requires, and ask who sponsors it. Preparation runs through the firm's compliance team. They tell you what the seat needs and they handle the filing path. This description names the registration and stops. It does not walk through exams, scores, or study plans. Those details belong to the regulator and the firm, and they change.
Many hiring managers also know the charter granted by the CFA Institute. That charter is a professional credential, separate from a FINRA or adviser registration. It shows a broad course of investment study plus work experience the institute recognizes. It does not, by itself, authorize you to give advice or to sell securities. Treat it as a credential employers respect, not as a substitute for the registration the seat requires. People prepare for the charter on the institute's terms, over years, while they are already working. People prepare for a required registration on the firm's timetable, because you cannot sit in the seat without it.
The usual education underneath all of this is a bachelor's degree in finance, economics, mathematics, or a close field, and then years of research work. A master's degree is common and still not a licence. What gets you near a portfolio is a record of research someone used, written clearly, with the outcome visible later. Compliance training at the firm is part of every seat, registered or not. Take it seriously. A brilliant investment idea that breaks the mandate is a problem, not a story you tell at dinner.
How people reach the chair
Almost nobody is hired as a fund manager from a campus. The path runs through an analyst seat. You cover a set of companies, an industry, or a slice of the bond market the firm cares about, and you write research a portfolio manager can use. Senior analysts start to influence size and timing only as the manager trusts them. An assistant portfolio manager shares the book in a limited way. The fund manager is the step where the mandate is yours. Some people stay senior analysts on purpose because they like the research more than the client explanation. That is a full career.
Hiring at the analyst door looks at your writing, your numbers, and whether you can defend a view without turning it into a performance. Bring a sample the firm is allowed to see, with confidential information removed. Explain a past call that was wrong and what you changed. Managers remember that more than a perfect highlight reel. Internships and years at a bank, a research shop, or a smaller fund are normal. So is a move from a consultant into an analyst program. The constant is a work product someone else relied on.
Later hiring, for a true manager seat, looks at a track record you are allowed to claim, the style the seat needs, and whether clients will accept you. A record from a previous firm may belong partly to that firm. Say what you can say, and do not inflate it. Culture matters. A book that allowed wide discretion will not prepare you, by itself, for a seat that must stay close to a benchmark. Read the mandate before you fall in love with the title. The title without the guidelines is how people take jobs they cannot do well.
After the first portfolio
Growth from the chair goes in a few directions. You take a larger portfolio. You take a second one. You become the person who oversees several managers, which is a management job about people and process as much as about holdings. A chief investment role sits further up and spends more time on the firm's overall posture than on a single book. Some managers leave a large firm to join a smaller one where their name is the strategy. Some do the reverse, because they want the research depth a large firm can pay for. None of these moves is automatic after a good year.
The years that go badly are part of the profession. Mandates have dry spells. Clients leave. A style that worked in one stretch struggles in the next. Managers who last can explain the stretch without abandoning the mandate to chase whatever just went up. Managers who do not last often break the guidelines to look busy. If you want this job, practice the explanation now, while you are an analyst: short, specific, and free of promises the horizon does not support. That voice is what an investment committee hires when it already has enough excitement.
Client work grows with the title. You will sit in reviews. You will hear fear and impatience. You will repeat the mandate until it sounds boring to you and still new to them. The skill is respect without surrender. You are not there to invent a new fund in the middle of a meeting because a client is unhappy. You are there to show that the fund they bought is the fund they still own. If that kind of conversation drains you completely, stay on the research side. The chair includes it. Over time you also learn the firm's calendar: when committees meet, when clients expect a letter, when risk wants a full look rather than a headline. Planning your week around that calendar, instead of around whatever headline is loudest, is part of running the portfolio rather than reacting to it. Analysts can chase a new fact. The manager has to decide whether the fact belongs inside the mandate at all. That decision, repeated quietly, is the job more than any single dramatic call.
Estimated pay, and the long stretch above the middle
The Bureau of Labor Statistics does not publish a separate wage series for this exact title. The figures that follow are PayCrunch estimates for fund managers, a national picture of entry, middle, and top. They are not official wages for a named place. There is no state median under them, and a famous finance city does not get to lend this title a local number. Estimated entry pay is $80,000. The estimated median is $145,000. The estimated top is $371,090.
The gap from the estimated entry to the estimated median is $65,000. That is a large early step, and it fits the shape of the career: analyst and junior seats can live near the entry estimate, while a person running a real mandate moves toward the middle. If an offer for a first manager seat sits near $80,000, ask what the seat actually owns. A title with no mandate can be an analyst wage wearing a bigger name. If the offer already sits near $145,000, you are discussing scope, variable pay, and how results are measured, not whether you have left the entry band.
The gap from the median to the estimated top is $226,090. That distance is much longer than the first step. It is where seniority, scarce records, and variable pay show up in an estimate of this kind. It is a landmark for the top of the estimate, not a typical manager wage and not a figure you can attach to a city. When a firm describes total pay, ask how a person moves across that $226,090 distance: base, bonus, and any long-term award, in words they will put in an offer. Do not invent a split they did not offer. Do not treat $371,090 as the going rate for a new chair.
Two gaps, two conversations
$65,000 separates the estimated entry of $80,000 from the median of $145,000. $226,090 separates that median from the estimated top of $371,090. The Bureau of Labor Statistics does not publish a separate wage series for this exact title.
Negotiate the mandate and the money together. Ask what you will run, who else can override you, and which registration the seat requires. Then place the base against $80,000 and $145,000. A move toward the median fits a person who already carries research the firm uses and who is ready to own results. A conversation about the long gap above the median belongs to variable pay and to a record the firm can describe. Say the difference between those gaps. It keeps the estimate from turning into a rumor, which is the same discipline you will need when a client wants a rumor instead of the mandate.
The top of Fund Manager pay — and how to get there with AI
$371,090top-end estimate for Fund Manager
PayCrunch estimate - derived from the closest occupation BLS tracks (Financial and Investment Analysts, 13-2051). This figure is PayCrunch’s estimate, not a Bureau of Labor Statistics published wage for this exact title.
And the role it leads to — Financial Managers — reaches $370,780 in New York.
$80,000entry$145,000middle$371,090top end
A fund manager at the top of this range owns a mandate nobody else in the firm can defend line by line, meaning the screen, the valuation behind every holding, and the report that explains both to a trustee.
Recommending investments and their timing is what everyone in the seat does, and most of it is sourced from the same research. The scarce version is depth in an area with rules of its own: socially responsible funds and green exchange-traded instruments, where a holding has to survive both a valuation argument and a definitional one. That means performing securities valuation yourself rather than adopting a broker's number, monitoring industrial and corporate developments in the names you screen, and presenting written reports you can be cross-examined on. A model will compress a long filing into something readable; it will not tell you which exclusion your client will not forgive.
Your playbook, by where you are now
Just startingDo the valuation with your own hands
Price a company from its primary filings before looking at any external estimate, and keep both so you can see where you were wrong.
Read the fundamental and industrial developments in one sector each morning and write two sentences on what changed.
Rebuild the firm's valuation template in Microsoft Excel until every cell is yours, then improve one assumption and say why.
Ask Claude to summarise a long annual filing, then check every figure you intend to use against the document itself.
What proves it: A valuation file covering a dozen names that you update on your own schedule.
Realistic span: the first three years
A few years inTake the mandate nobody wants to explain
Learn one screening framework properly, including what a green exchange-traded fund may and may not hold, and where those definitions bend.
Build the screen so it can be rerun and audited, in Alteryx software or against the fund accounting software your operations team runs.
Write the quarterly report yourself instead of editing a template, and put the holdings you are least comfortable with on the first page.
Test what the screen costs in return using IBM SPSS Statistics or the Advanced Portfolio Technologies Simulator, and report the drag honestly.
Present to trustees and clients whenever the chance appears, because defending a position aloud is what this seat is paid for.
What proves it: A published mandate whose screening rules and their cost you can defend in a room.
Realistic span: years four through eight
ExperiencedCarry the record and the bench
Keep a decision journal of each purchase and its stated reasoning, then review the misses in front of colleagues once a year.
Mentor junior team members on valuation and let them present, correcting in private rather than across the meeting table.
Take responsibility for preparing materials for transactions end to end, so execution quality stops being somebody else's problem.
Build client reporting from one source in your business intelligence software, so the same figure never appears twice in two shapes.
Weigh where you sit; South Dakota pays this occupation unusually well, because so much fund administration is domiciled there.
What proves it: A track record attached to your name with the original reasoning preserved.
Realistic span: from year nine
The next 90 days
Pick one holding your firm owns and rebuild the case for it from scratch over the next quarter. Value it yourself from the filings. Check whether it would pass the strictest responsible screen your clients might apply, and write down exactly which criterion decides the answer. Then draft the two-page note you would send a trustee who asked why the fund owns it, including the argument against. Show that note to whoever runs the mandate. Analysts who arrive with a summary of somebody else's research are interchangeable; the one who arrives with an independent valuation and a defensible screening view gets asked to take the next mandate that needs both.
Wage figures: PayCrunch estimate. The playbook is PayCrunch editorial guidance, not a guarantee of pay or placement.
Every figure is the national median from the U.S. Bureau of Labor Statistics (OEWS) shown on that role’s own page.
Never used AI before? Start here (2 minutes).
Pick one name and run an AI research pass end to end. Use an AI market-intelligence platform like AlphaSense or Hebbia to pull and summarize the filings, transcripts, and broker research on a company you already know well — then check where the AI is sharp and where it is wrong. Knowing its failure modes is the whole game.
For synthesis, memos, and investor letters, use Claude or ChatGPT (enterprise plans, never MNPI or positions) to structure your thinking and draft faster. You own the thesis, the sizing, and the fiduciary duty; AI lets you cover more ground and spend your judgment where it actually creates alpha.
The one rule, forever: AI is research support, never investment advice or a trading authority — the manager owns every thesis, position size, and trade, and the fiduciary duty behind them. Verify every AI-surfaced figure against the primary filing before it informs a decision; models hallucinate numbers and overfit backtests. Never paste material non-public information, position data, or investor details into a consumer AI tool, and keep all marketing claims compliant and truthful.
The plays — exact steps, exact prompts
Do these in order. Each one is copy-paste ready. You do not need to know anything about AI going in.
1
Industrialize investment research with AI market intelligence
Why this pays: A fund manager's returns depend on processing more relevant information than the market, faster. AI intelligence platforms that read every filing, transcript, and expert call and surface what changed let one manager cover far more names at depth — the research edge that separates top-quartile performance and the comp that follows it.
AlphaSenseHebbiaBloomberg Terminal
1
Run your coverage universe through AlphaSense or Hebbia to monitor filings, earnings calls, and broker research, with alerts on the themes and language shifts that move your thesis, alongside market data from the Bloomberg Terminal.
2
Use AI to compress a company's disclosure history into a change map.
Copy-paste this prompt
Act as a buy-side analyst. Summarize how [company]'s guidance, margin commentary, and risk language have changed across its last [6] earnings calls and filings. Focus on shifts in tone on [pricing, demand, and capex], management's credibility on prior guidance, and any new disclosures. Give me a bullet list of what changed and the exact source quote for each so I can verify it.
Always click through to the source quote before you trust a claim — AI misattributes and paraphrases. This surfaces leads; it does not replace reading the primary document.
What you'll haveDeeper coverage of more names in less time — the research edge that drives the performance behind a $280,000 manager.
2
Analyze filings and earnings at scale
Why this pays: The difference between average and top-of-range managers is often catching the detail in a 200-page filing that others miss. AI that extracts, compares, and flags the substance of disclosures lets you go deeper on more names and spot the change before it is priced — the analytical depth that drives alpha and pay.
ClaudeAlphaSenseS&P Capital IQ
1
Pull financials and comparables from S&P Capital IQ and use AlphaSense or Claude to interrogate the primary filings rather than skim them.
2
Use AI to build a structured thesis check on a single name.
Copy-paste this prompt
Act as a skeptical equity analyst. Here is [company]'s latest 10-K and last two 10-Qs: [paste the relevant sections — public filings only]. Build a one-page thesis check: revenue and margin trend with the drivers, cash-flow quality vs reported earnings, balance-sheet and covenant risks, the 3 biggest red flags, and the 3 questions I should get management to answer. Cite the exact line for every number.
Use only public filings. Verify every extracted number against the source — a wrong figure in a model is worse than no model.
What you'll haveA rigorous, source-cited read on more names than you could cover alone — the analytical depth that lifts risk-adjusted returns.
3
Build and backtest quant signals with AI-assisted Python
Why this pays: Systematic signals let a manager scale a repeatable edge across the whole portfolio instead of one name at a time. Using AI to write and debug the Python that tests factors and screens — while you guard against overfitting — adds a disciplined quantitative layer that institutional allocators reward with capital.
PythonFactSetGitHub Copilot
1
Pull clean historical data from FactSet (or Bloomberg) and use GitHub Copilot to accelerate the Python that builds screens, factor tests, and backtests.
2
Use AI to design a backtest that resists the classic traps.
Copy-paste this prompt
Act as a quantitative researcher. I want to test whether [a quality-plus-momentum factor combination] adds risk-adjusted return in [US mid-caps] over [2005-2025]. Write the Python to build the backtest, and explicitly guard against look-ahead bias, survivorship bias, and overfitting: use point-in-time data, out-of-sample and walk-forward validation, realistic transaction costs, and report Sharpe, max drawdown, and turnover. Tell me how to know if the result is real or data-mined.
The overfitting warning is the point. A backtest is a hypothesis, not a promise — size any live allocation with deep skepticism and out-of-sample proof.
What you'll haveA disciplined, tested quantitative edge across the portfolio — the systematic rigor that attracts institutional capital and carry.
4
Construct and stress-test portfolios with AI risk analytics
Why this pays: Returns net of risk are what allocators actually pay for. Using AI-assisted risk analytics to see hidden factor exposures, concentration, and scenario losses lets a manager construct portfolios that survive drawdowns — the risk-adjusted consistency that keeps investors and grows the fee base toward the top of the band.
BlackRock AladdinBloomberg PORTClaude
1
Analyze the book in a portfolio-risk system (BlackRock Aladdin or Bloomberg PORT) to decompose factor exposures, concentration, and liquidity before you add or trim risk.
2
Use AI to design the stress scenarios and interpret the exposures.
Copy-paste this prompt
Act as a portfolio risk manager. My portfolio has these top exposures and factor loadings: [paste anonymized exposures — no client or position identifiers]. Design a set of stress scenarios relevant to a [long/short equity] mandate (rate shock, growth-to-value rotation, liquidity crunch, single-name blowup) and tell me for each: the likely portfolio impact, which positions drive the loss, and how to hedge or resize without wrecking the thesis. Flag any concentration or crowding risk I may be underweighting.
AI helps you see and frame risk; the sizing and hedging decisions are yours and your risk committee's. Never paste identifiable position or client data into a consumer tool.
What you'll havePortfolios built to survive drawdowns, not just chase returns — the risk-adjusted consistency that retains investors and grows fees.
5
Grow AUM with sharper investor communications
Why this pays: A fund manager's comp is ultimately a share of fees and performance, and fees track assets. Using AI to produce clear, honest, compelling LP letters, pitch materials, and updates helps you retain and raise capital — the AUM growth that, more than any single trade, moves total comp toward and past the top of the band.
ClaudeChatGPT EnterpriseGamma
1
Draft quarterly letters and pitch decks with Claude or ChatGPT Enterprise (and Gamma for the deck), then make every claim your own and compliant.
2
Use AI to turn raw performance into a clear, honest investor narrative.
Copy-paste this prompt
Act as an investor-relations writer for an asset manager. Turn these quarterly results into a clear, honest LP letter section: [paste sanitized returns, attribution, and positioning notes]. Explain what drove performance (winners and losers), what we got wrong and what we learned, how we are positioned now and why, and the risks we are watching. Confident and transparent, no hype, no forward-looking guarantees.
Keep it truthful and compliant — no cherry-picked or guaranteed-return language, and have compliance review before sending. AI drafts; you own the claims.
What you'll haveInvestor communications that retain and raise capital — the AUM and fee growth that carries total comp toward and past $280,000.
6
Institutionalize an AI research process and protect your edge
Why this pays: As information edge erodes, the durable advantage is a repeatable process and judgment AI cannot copy. The manager who builds a disciplined AI-augmented research workflow — and knows exactly where human judgment must override the machine — becomes the PM or partner an allocator trusts with more capital, which is where the top of the band lives.
AlphaSenseClaudeNotion
1
Codify your process — checklists, thesis templates, a research log in Notion (or your OMS) — so AI feeds a consistent workflow rather than ad-hoc prompts.
2
Use AI to pre-mortem your own thesis and fight confirmation bias.
Copy-paste this prompt
Act as the smartest bear on this trade. My thesis is: [paste your long/short thesis and the 3 reasons I believe it]. Make the strongest possible case that I am wrong: the disconfirming evidence, the ways the market may already price this, the base-rate reasons theses like this fail, and the single data point that would prove me wrong fastest. Do not agree with me.
The value is the disagreement. Use AI to attack your ideas, not to validate them — the human edge is discipline the model cannot supply.
What you'll haveA repeatable, bias-resistant process an allocator can trust — the institutional-grade edge that earns a PM or partner seat and top-of-band comp.
Your 12-month sequence to the top of the range
How the plays above stack into a path from median pay toward the $280,000 tier.
Month 1
Run one name end to end through an AI research platform and map exactly where it is reliable and where it invents.
Months 2-3
Put your coverage universe on AI monitoring and use AI to build source-cited thesis checks on your top names.
Months 3-6
Add an AI-assisted quant layer: build and rigorously backtest one or two signals with anti-overfitting discipline.
Months 6-9
Stress-test the portfolio with AI-assisted risk analytics and tighten construction around drawdown scenarios.
Months 9-12
Sharpen investor letters and pitch materials with AI to retain and raise capital — compliantly and honestly.
Year 2
Institutionalize an AI-augmented research process and pre-mortem discipline — the edge that carries comp toward $280,000.
Gear for this job
As an Amazon Associate, PayCrunch earns from qualifying purchases. Links to books and tools are for the job on this page; we only recommend what we’d use in the work.
Same live Wiley/CFA Institute 2026 Level I box set already on financial-analyst / investment-analyst / pension-fund-manager / credit-analyst. This page sources CFA Institute — investment management resources. Not leftover 94 CFP (that is financial-planner / financial-advisor) and not Level II or Level III.
Next steps for a Fund Manager
Some links below are affiliate or partner links. PayCrunch may earn a commission if you enroll or subscribe through them, at no extra cost to you. Wage figures on this page still come from the Bureau of Labor Statistics, not from these programs.
Fund Manager work is specific enough that a stamped 'check out these courses' block would be noise. BLS files this work as Financial and Investment Analysts (SOC 13-2051). O*NET Job Zone 4 is typical: a bachelor's degree, so the honest next credential is a professional certificate or bachelor's-level coursework — not a random catalog dump.
Fund Managers in this dataset list Alteryx software among the tools in use, so a program that names that stack is a better fit than a survey course.
The next title this dataset points at is Financial Managers; a credential aimed that way is a clearer step than another year in the same seat.
Coursera search for accounting and finance — a professional certificate or bachelor's-level coursework that lines up with business and finance, not a generic professional-development aisle.
FlexJobs screens remote, hybrid, freelance, and flexible listings so you are not wading through unverified ads. This is a job-board search for Fund Manager work, not a claim that they list a counted SOC 13-2051 inventory.
Write a Fund Manager resume, or one aimed at Financial Managers, instead of a blank template. Resume Now is a resume builder; we are not claiming a counted template set for this SOC.
A Fund Manager resume that names the actual tasks on this page, or the step-up title Financial Managers, beats a blank template when you apply.
What Fund Managers earn by state
This page does not show a state table, and the reason is worth stating: the Bureau of Labor Statistics does not publish a separate wage series for this job title, so there are no official state figures to show. Scaling the national median by a cost-of-living index would produce a number for every state, but it would be an estimate of living costs wearing a wage’s clothes, and PayCrunch would rather show you nothing than that.
What the national figures say: pay starts near $80,000, the median is $145,000, and the top of the range is $371,090. Those national figures are a PayCrunch estimate, not a Bureau of Labor Statistics published wage for this exact title.
It is transforming the job and squeezing the middle. Passive funds, quant strategies, and now AI have eroded the easy information edge, and mediocre active managers are under real fee pressure. But AI cannot own a fiduciary duty, take accountability for a drawdown, raise capital on trust, or exercise the judgment that separates a good thesis from a data-mined one. The managers who industrialize AI research while keeping that judgment sharp pull ahead; those who ignore it lose the edge that justified their fee.
Can I trust AI-generated financial analysis and backtests?
Only after you verify it. AI misattributes numbers, paraphrases disclosures inaccurately, and will happily produce a beautiful, overfit backtest that means nothing out of sample. Treat AI output as a lead to check against primary filings and as a hypothesis to validate with out-of-sample data — never as a decision. A wrong number that reaches your model is more dangerous than no model.
Is it safe to use ChatGPT in asset management?
Only with strict boundaries. Never paste material non-public information, position data, or investor details into a consumer AI tool, and keep every marketing claim compliant and truthful. Use enterprise plans with data-retention controls and confine AI to public filings, general research, and drafting. Your compliance team should sign off on how AI is used, especially in anything client-facing.
How does AI actually increase a fund manager's pay?
Comp here is mostly performance and a share of fees, so it tracks returns and assets. AI lets you cover more names at depth, catch changes faster, build a disciplined quantitative and risk process, and communicate results in a way that retains and raises capital. Better risk-adjusted performance and more AUM are what move total comp toward and past the top of the band — AI is the lever on both.
What is the human edge once everyone has AI?
Judgment, temperament, and trust. When every manager can summarize a filing instantly, the edge shifts to knowing which question matters, sizing conviction correctly, staying disciplined in a drawdown, and earning the relationships that bring capital. AI is a commodity input; the edge is what you do with it and the accountability you carry — which is exactly what allocators pay top-of-band managers for.
Methodology & sources
Salary (median, 10th, top of the range) — U.S. Bureau of Labor Statistics, OEWS.
By state — the Bureau of Labor Statistics’ own state medians, limited to states employing at least 500 people in the occupation. No cost-of-living arithmetic is applied to a wage anywhere on this page.
The plays — PayCrunch's own step-by-step guidance using publicly available AI tools. Tool names/URLs are real and current as of August 2026; prompts written to work as-is. Verify any professional output before relying on it.