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Finance

Mortgage Broker

Based on 38 assessments

35% Moderate risk

Average realistic automation risk across all Mortgage Broker profiles in the dataset.

Raw potential
72%
Realistic risk
35%
Research benchmark ?
52%

Raw potential = I/O automation ceiling. Realistic risk = adjusted for informal knowledge and social context. Research benchmark: Eloundou et al. (2023)

Distribution across 38 profiles. Middle half of Mortgage Brokers score between 32% and 37%.

0% 50% 100%
p10 · 30%
42% · p90
On-screen work 74%

Done entirely on a computer. High AI exposure — these tasks are already in the automation zone.

In-person + screen 0%

Physical sensing, digital output — e.g. interviewing someone then writing a report. Partially protected.

Computer + action 15%

Computer input, real-world output — needs someone to act on it, not just software.

Fully in-person 11%

No computer required. Furthest from automation — the strongest human advantage.

3 synthetic profiles for a Mortgage Broker, ordered by automation exposure. Tab between them to see how task mix drives the score difference.

Task Time Type Exposure
Troubleshooting loan rejections or issues (missing documents, credit concerns, employment gaps) and finding workarounds or alternative products
deep expertise social element
28% DD 28%
Explaining mortgage options, rates, terms, and total costs to clients via phone, email, or in-person meetings
deep expertise
20% DA 14%
Reviewing client financial documents (tax returns, bank statements, pay stubs, credit reports) to assess borrowing capacity and loan eligibility
18% DD 52%
Building and maintaining client relationships through follow-ups, referrals, and repeat business across multiple years
deep expertise
14% AA 6%
Completing and submitting mortgage applications, coordinating with lenders, appraisers, and title companies to move loans through underwriting
13% DD 54%
Staying current on interest rates, lending rules, market conditions, and competitor offerings to advise clients strategically
3% DD 56%
Comparing loan products across multiple lenders and negotiating terms/rates to find best fit for client situation
deep expertise social element
1% DD 32%

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