Financial analyst
Builds the model, writes the memo, and tells someone with money what the numbers mean before they commit it.
This is not a probability of losing your job. It combines how much of the role's task load is exposed to automation with how far adoption has actually gone — useful for comparing occupations on one consistent basis, and for nothing else.
Written for corporate FP&A, investment banking and equity research analysts at junior to mid level. Portfolio managers, traders and quantitative researchers face different dynamics.
What is actually changing#
The unit of analysis is the task, not the job title. A role is not replaced — its task mix shifts.
Building and updating models
Being augmented≈ Platform inferenceThree-statement models, valuation, budget roll-ups — and updating them when the actuals come in.
Spreadsheet assistants now draft formulas, reconcile inputs and explain variances, and the mechanical parts of a model update are much faster. The model's structure — what drives what, which assumptions matter — is still designed by a person, because a wrong structure produces a confident, well-formatted wrong valuation.
Gathering data and summarising filings
Automating✓ Evidence-backedPulling numbers from reports, transcribing earnings calls, summarising 200-page filings into a page.
Extraction and summarisation of public documents is a solved problem for the tools, and the data vendors have integrated it. This was the bulk of a first-year analyst's hours and it is the part firms are removing first.
The summaries are only as good as the reader's ability to notice what was left out. Juniors who never read a full filing lose the instinct for what a summary hides.
Deciding what to assume
Still human-led≈ Platform inferenceChoosing the growth rate, the margin path, the discount rate — and being able to say why to someone who disagrees.
Assumptions are where the analysis actually lives, and they rest on judgement about management, competitors and the world that has to be defended in a room. Tools can lay out scenarios; deciding which one you believe, and putting your name to it, is the job.
Explaining to the decision-maker
Being augmented≈ Platform inferenceTurning the model into a recommendation the CFO, the partner or the client will act on — and answering their questions live.
Draft memos and decks are faster to produce. The conversation in which someone commits capital is a human negotiation about risk appetite and trust, and the analyst's credibility — built by being right before — is what makes the number believable.
Orchestrating the analytical tooling
New task≈ Platform inferenceSetting up the data feeds, model assistants and checks so the team's output is fast and trustworthy.
As firms adopt assistants for modelling and research, someone on the team has to configure them, decide what they may touch and audit their output. It is a small but growing slice of the role and tends to fall to the analyst most comfortable with tools.
Which technologies matter here#
Four separate signals. They are deliberately not added together — a job exposed to two technologies is not twice as exposed.
How it got here#
The index is not a static number. This is where it would have sat at each capability checkpoint since ChatGPT — reconstructed, and labelled as such.
● 1 verified event for this occupation, plotted at the date it happened — the parts of the line near a marker are anchored to something checkable.
Spreadsheets were already the automation. The gains since 2023 are real but land on the mechanical half — building and updating the model — while the half that gets paid is choosing the assumptions and defending them in a room. That split is why the curve rises without ever accelerating.
A flat line is not a forecast of safety. It says which tasks automation has reached so far — the occupations that moved least here are the ones where the constraint is physical or regulatory, and both of those can change.
Recent changes#
One US investment bank; a firmwide general-purpose assistant with versions for bankers, research analysts and wealth staff, announced in a memo by CIO Marco Argenti. Reported from the internal memo (Reuters first); no headcount statement.
An employer has put it into production. Can move the baseline — weighted by scale and how similar the setting is.
Fox Business (reporting a Reuters-obtained internal memo) ↗What this means for you#
The first-year job was largely gathering, formatting and summarising, and that is what is being cut, so fewer analyst seats and a steeper first year are realistic. The judgement work is intact and still requires learning by doing. Get to assumptions and to the room as fast as you can: ask to present, ask to defend a number, and read the full filing even when the summary exists — that is where the instinct comes from.
Your leverage model — juniors doing the gathering while you do the thinking — is what is changing. Expect smaller teams and more of the mechanical work landing back on you, done with tools. Your value is in the assumptions you can defend and the decision-makers who trust your calls; protect the time for both, and take ownership of what the tools may and may not do in your team.
Your options#
Four directions, each with its real constraints and one thing you can test this week. Continuing as you are is a legitimate choice — it just has to be a chosen one.
Get to judgement faster
The parts of the role that remain are the ones that were always the destination. The change removes the slow apprenticeship in between, which is a loss for training but an opportunity for anyone who can demonstrate judgement early.
Judgement without track record is hard to sell. You need a few visible calls that turned out right.
Write down three assumptions in your current model that you would defend against your manager, with the reason. If you cannot find three, that is the gap to close.
Move to the operating side
Operating companies want people who can read numbers and make decisions in strategy, corporate development and operations finance. The analytical skill transfers; the decisions become yours rather than a client's.
Usually lower pay than banking at junior levels, and progress depends on the company rather than a defined ladder.
Ask one person in corporate development what decision they influenced last quarter and how. Compare that to what your own work influenced.
Become the team's tool owner
Someone will decide which assistants the team uses and audit their output. Doing it well protects everyone's work and makes you hard to remove.
Unglamorous, and easily seen as IT rather than finance unless you tie it to the quality of the analysis.
Run one recent model update through an assistant, log every error it made, and time how long checking took versus doing it by hand. That log is the start of your team's tool policy.
Common questions#
If the reason is the analytical judgement, the deal or coverage exposure and the network, yes — those are intact. If the reason is that it was a well-defined ladder where two years of grinding on models and summaries reliably bought a next step, be careful: the grinding is the part being automated, the ladder has fewer rungs, and the first year rewards people who can already think rather than people who can work long hours on formatting.
Studying towards this?
These majors lead here. Their pages break down which of their competencies transfer and what graduates typically lack.
Method and sources#
- Assessment date
- 2026-09-10
- Basis of the task judgements
- 1 evidence-backed · 4 platform inference · 0 not enough evidence
- Verified events
- 1