Will AI replace mortgage brokers in Australia?

No. AI will not replace Australian mortgage brokers in any reasonable timeframe. Under the Australian Best Interests Duty (in force since 1 January 2021 under the National Consumer Credit Protection Act), the broker remains legally accountable for credit advice — that accountability cannot be delegated to an AI system. Consumer trust data also shows only around 6% of Australians are willing to entrust mortgage research to AI. What AI will do is replace the admin-heavy parts of the broker's job — bank pricing comparison, aggregator data entry, document compliance logging — leaving brokers more time for client conversations and judgement-based decisions.

What parts of a mortgage broker's job will AI take over?

AI is well-suited to the rule-based, repetitive parts of the workflow: bank pricing comparison across the broker's panel, extracting fields from client documents into aggregator platforms, renaming and compliance-logging supporting documents, lender policy lookup, ordering valuations, and drafting standard correspondence. These are the tasks that consume 60–80 hours of broker admin per month at typical brokerage volumes.

What can AI not do in mortgage broking?

AI cannot take legal accountability for credit advice under the Best Interests Duty. It cannot read a client's body language during a fact-find conversation, understand life context that doesn't appear in documents, or take responsibility if a recommendation goes wrong. Independent research has shown that different AI tools given identical mortgage scenarios produce different affordability expectations and different recommended terms — which is exactly the kind of inconsistency that the Best Interests Duty exists to police.

What will the mortgage broker role look like in 5 years?

By 2031, the typical Australian mortgage broker will spend most of their working hours on client conversations, judgement calls, and Best Interests Duty documentation — the parts AI cannot do. The bank pricing, data entry, compliance, and policy lookup work will be largely automated. Brokers who adopt AI early will likely run higher loan volumes per head, while brokers who resist it will likely lose competitiveness. The job is not disappearing; it is being concentrated on the parts of the job that actually require a human.

Do Australian consumers trust AI for mortgage advice?

Not yet. Research in 2026 shows only around 6% of Australians are willing to entrust AI with mortgage research, which is unsurprising given the financial stakes. Trust may rise over time as AI tools become more accurate and accountable, but for the foreseeable future the human broker is the trusted interface, even when AI is doing much of the underlying work.

Will AI replace mortgage brokers?

An honest 2026 answer from a company that builds AI for mortgage brokers — and therefore has every reason to say "yes" but has decided to say "no".

Published 16 May 2026 · By James Larkey, founder of SecondBrain · ~6 min read

Short answer: No. AI will not replace Australian mortgage brokers in any reasonable timeframe. Under the Australian Best Interests Duty, the broker is legally accountable for credit advice — accountability that cannot be delegated to a machine. What AI will replace is the admin-heavy part of the broker's job: bank pricing, data entry, document compliance, policy lookup. The broker role of 2031 will be more concentrated on what only a human can do — judgement, relationships, accountability. Read on for the full reasoning.

Why the question keeps getting asked

It's a reasonable question in 2026. AI now writes most of the average broker's emails, drafts loan summaries, runs pricing comparisons, looks up lender policies, and extracts data from client documents. If AI is already doing all of that, what exactly is the broker still for?

The answer becomes obvious once you separate two different things that often get conflated: the tasks a broker does, and the role a broker plays. AI is rapidly absorbing the tasks. The role — judgement, accountability, relationship — is roughly as human as it has ever been.

The accountability wall AI cannot cross

The Best Interests Duty (BID) for Australian mortgage brokers came into force on 1 January 2021 under the National Consumer Credit Protection Act 2009. It requires brokers to demonstrate, through documented reasoning, why a recommended loan is in the consumer's best interests. The duty sits with the broker — personally and professionally — and cannot be delegated to a piece of software.

This is not a technicality. If an AI system gives an inaccurate recommendation that a broker passes on to a client, the broker is liable. The AI vendor is not. The aggregator is not. The lender is not. This single legal fact is why "AI replaces the broker" is unworkable for any current or near-future AI system — the moment a regulator finds a problem, somebody has to be on the hook, and the law is clear about who that is.

The trust wall AI has not yet crossed

~6%

Share of Australians willing to entrust AI with mortgage research, per 2026 industry surveys. The other 94% want a human in the loop on the biggest financial decision of their life.

Trust may rise as AI tools mature and as the next generation grows up using them. But mortgages are unusual financial products: large, long-duration, high-stakes, with significant variation in personal circumstances. The threshold for trusting a non-human to recommend one is much higher than for trusting a non-human to suggest a restaurant.

What AI is genuinely good at in the broker workflow

Listing the parts AI handles well today:

Bank pricing comparison. Pulling indicative rates and fees from every lender on the broker's panel and assembling a comparison. (Sharp by SecondBrain does this in about 4 minutes.)
Aggregator data entry. Extracting 300+ fields per file from payslips, bank statements, ID, and employment letters into Connective / AFG / Loan Market / similar.
Document compliance. Renaming and logging files to a consistent convention so they're audit-ready.
Lender policy lookup. "Does this lender accept this profile?" with cited answers from each lender's published policy. (Bulma is the popular tool here.)
Valuation ordering. Selecting AVM / desktop / full valuation per lender policy and submitting through the aggregator.
Draft correspondence. Pulling together the standard client emails so the broker can review rather than compose from scratch.

These six items consume the majority of the 60–80 hours of admin per month at a typical brokerage volume. The wins from automating them are not "the broker has more leisure time" — they are "the broker can write twice the volume per head, or spend the recovered time on the parts of the job that actually require a human".

What AI is genuinely bad at in the broker workflow

Reading a client across a kitchen table. Body language, hesitation, what's not being said. The information that determines whether a "yes" actually means yes.
Life context that doesn't appear in documents. The new baby on the way, the parent who'll need care soon, the job that's secretly on shaky ground. The factors that shape whether this loan is the right loan.
Taking responsibility. Already covered above — but worth stating again, because it's the load-bearing point.
Consistency across tools. Independent testing in 2026 has shown that different AI systems given identical mortgage scenarios produce different affordability expectations and different recommended terms. This is the exact problem the BID exists to prevent — and it's why "let the AI decide" doesn't work even at the level of a single recommendation.

What the mortgage broker role looks like in 2031

Our prediction, based on what's already happening with early-adopter brokerages:

Brokers spend roughly 80% of their working hours on client conversations and judgement-based work. Today the split is closer to 30/70 the other way.
Loan volume per broker rises significantly — possibly 2-3× — because the admin no longer bottlenecks throughput.
Compliance documentation is largely AI-assisted but human-signed, with the broker reviewing and accepting the AI's first draft rather than writing from scratch.
Smaller brokerages compete with larger ones on equal footing for the first time, because the per-loan admin cost has collapsed.
The brokers who refused to adopt AI tools are competing for the bottom half of the market on price.

None of this looks like "AI replaced the broker". It looks like "the broker's role got concentrated on the parts that actually need a broker".

The pattern to watch out for: vendors who say AI replaces brokers

Any AI vendor pitching "we replace the broker" should be treated with suspicion. They are either: (a) ignorant of the accountability framework, (b) overselling to attract investors, or (c) marketing to consumers in a way that's likely to attract regulator attention. None of those are good. The honest vendors say "we replace the admin so the broker can do more of the human work" — which is exactly what's happening, and exactly what gets endorsed by the aggregators and industry bodies.

The honest pitch for SecondBrain

We don't replace brokers. We replace the admin between fact-find and lodgement — bank pricing, data entry, compliance, valuations — so brokers can spend more time on the parts of the job that actually need a human. Book a 15-minute call with James to see what that looks like for your brokerage.

Book a call →