Capital markets front office (trading, sales)

ISCO-08 3311, 2412, 2413

Trader, Institutional sales, Sales trader, Structurer, Quantitative strategist, Research analyst

AI exposure61%

Headcount need, in FTE

Exposure range

Your current headcount

FTE

Need in 203088 FTE-12 FTE (-12%)

Need in 203576 FTE-24 FTE (-24%)

How AI is used on these tasks today

Automation 42%Augmentation 58%

In AI conversations about this job's tasks: the AI does the task itself (automation) or helps the person do it (augmentation).Anthropic Economic Index, April and May 2026. Occupations: Securities, Commodities, and Financial Services Sales Agents, Financial Quantitative Analysts. AEI

1. Exposure 61%Average automation potential of the job's tasks. Range for this family: 46 to 68%.ILO occupations used: Securities and Finance Dealers and Brokers (63%), Financial and Investment Advisers (57%), Financial Analysts (62%). ILO data

2. Strategic ceiling 100%Your call: how much of this potential do you want to capture? Nobody can set it for you.

3. Adoption speed midpoint 2030

Inherits your company stance, adjustable for this family.

4. Conversion to headcount sensitive 40%Default 40%: Revenue scales with market share and client coverage; gains are reinvested in more clients and faster pricing, though flow desks shrink.

Target AI skills

level 1 to 4

Foundation

Use AI assistants every day

Frame and phrase a request

Check and challenge AI outputs

Protect data and respect the rules

Applied

Rethink one's process with AI

Analyse data with AI

Produce content with AI

Delegate to and supervise AI agents

Expert

Build and integrate AI solutions

Evaluate and make AI solutions reliable

Job skills

Growing in value

Risk-taking judgement in stressed markets
Client relationships on complex trades
Designing and validating systematic strategies
Tailored structuring for institutional clients

Losing value

Writing morning market commentary
Manual pricing of standard flow products
Producing trade ideas and pitch decks
Answering routine client price requests

How the job will change

Flow trading was largely electronic well before generative AI. What changes now is the work around the trade: morning commentary, research summaries, pitch books, trade recaps and replies to client queries arrive pre-drafted. Sales teams receive trade ideas matched to each client's positions, and quoting on standard products is increasingly done by algorithms, with humans setting limits and parameters.

Value concentrates where judgement and relationships matter: illiquid or bespoke products, large block trades, stressed markets, structured solutions. Flow desks will be smaller, with more strats and engineers. A good front-office professional tomorrow can design or challenge a model, takes a risk decision when data are missing, and remains the person a client calls when markets turn.

2026-2027: Generated commentary, research summaries and pitch material; assistants on client messaging.
2028-2030: More pricing and client requests handled by algorithms and agents.
2031+: Lean flow desks; humans on complex risk, structuring and major clients.

Watch out

Front office competes with tech firms for people who combine market sense and engineering. These hybrid profiles are scarce, and the junior seats where traders used to learn are being cut. See the seniority outlook below.

What if you hired fewer juniors?

Your 2036 seniors are the juniors you hire today.

Seniors available in 2036-10%2 FTE short

Gap above 5% from2031

Your seniority mix today

Juniors (0 to 2 yrs in the profession)35%Seniors (6+ yrs)20%

Mid-level (2 to 6 yrs in the profession, the remainder)45%

Cut in junior hiring -40%

For

Advanced settings

Juniors promoted each year33%Juniors leaving each year15%Senior gap filled by external hiring0%If every company makes the same bet, senior profiles will be scarce and expensive.

Seniority mix, % of today's headcount

Juniors35%Mid-level42%Seniors18%

2026 2036

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AI Impact Diagnostic: 6 to 8 weeks, your data in albert, three costed scenarios and the projected seniority mix for each job family.

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How the numbers are built

Every headcount figure combines four assumptions. Three come pre-filled from public research and job family defaults. The strategic ceiling is yours to set.

Public researchExposureAverage automation potential of the job's tasks, from the ILO's 2025 task-level scores.

Your decisionStrategic ceilingHow much of that potential you choose to capture. Your decision, not ours.

Your companyAdoption speedHow fast your company moves, set once for the whole company.

Job family defaultConversion to headcountHow much of the productivity gain becomes fewer people rather than more output.

Headcount effect

Seniority outlook

A flow model with three levels of experience in the profession. Promotion and exit rates are set so that today's mix stays stable when hiring does not change: any gap you see comes from the junior hiring cut alone.