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What do financial advisors expect from AI?

Time for clients. In a 2026 global survey of 2,950 advisors in 23 countries, 74% say AI frees up time for client meetings. They expect it to stay a tool: in a 2026 survey of UK advisers only 9% expect a negative effect on their role. What holds them back is not interest but integration: in the global survey 68% say fitting AI into their workflows has been harder than expected.

What do advisors expect AI to do for them?

3 recent surveys point the same way: advisors expect AI to give them time back, and they want to spend it with clients.

ExpectationShare of advisors
AI frees up time for client meetings74%
Want AI-enabled systems to automate routine work76%
AI will free up time for client-facing work in the next 3 years71%
Firms that adopt AI will gain a competitive advantage80%
AI will have a positive effect on their role72%, up from 64% in 2025

The three surveys cover 2,950 investment professionals worldwide, 1,317 relationship managers in 24 markets and 200 UK advisers. Populations and questions differ, so compare direction, not exact values.

What do they already use it for?

Use is concentrated on the work around the client conversation: notes, emails, reports and research.

UseShare of advisors
Emails, meeting notes and educational materials61%
Summarizing market commentary and economic data56%
Meeting transcription and notes48%, up from 25% in 2025
Report personalization42%, up from 15% in 2025
Portfolio and risk analysis40%
Suitability assessment and reporting40%, up from 11% in 2025

The pattern matches where advisors' time goes: in the relationship manager survey, operational work takes 41% of relationship managers' time. That is the work AI takes over first. Planning and advice, where the advisor signs the judgment, come last.

What holds them back?

Not interest. The obstacles are integration, trust in the output and regulation.

ObstacleShare of advisors
Integrating AI into existing workflows has been harder than expected68%
Feel pressure from their firm to use AI48%
Trust in AI-generated outputs31%
Compliance or regulatory concerns27%
Data security and privacy24%
Losing the human element24%

In the UK adviser survey, AI implementation rose from the tenth to the fifth business challenge in one year, cited by 25% of advisers against 15% in 2025.

Do advisors fear being replaced?

Less every year. In the UK adviser survey 9% of advisers expect a negative effect on their role, down from 12% in 2025.

What advisors do expect is a change in competition. In the global survey 43% name AI-enhanced do-it-yourself investing tools as their biggest competitor in 5 years, against 11% who name other advisors. Their answer is the relationship: 82% explain their value through personal relationships and fiduciary responsibility rather than AI, and 73% say investors who rely on AI agents for advice take unnecessary risks.

What does this mean for a firm choosing AI for its advisors?

The surveys describe what advisors will adopt: tools that return time, sit inside the systems they already use, produce output they can check and respect compliance. Each obstacle becomes a question to ask any vendor, with an answer that can be verified.

Obstacle advisors reportQuestion to askStreetbeat's evidence
Integration (68%)Does it run inside our systems?Deployed on-premise or in the client's cloud, about 5 to 6 months from pilot to production
Trust in outputs (31%)How often is the output wrong?99.64% of interactions without errors in a live deployment, user mistakes included
Compliance (27%)Can our compliance team verify it?SOC 2 Type II audit cycle completed in April 2026; human review for designated critical decisions
AdoptionWill advisors actually use it?85% of 3,000 advisors active over 3 months at a European bank

To see how the time question plays out task by task, read which advisor tasks AI can take over.

About Streetbeat

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Streetbeat for Finance brings AI to banks, wealth and asset managers, insurers and real estate investment firms. It includes the AI Suite for Advisors, the Portfolio Engine, the AI Suite for Retail and the AI Suite for Operations, deployed on-premise or in the client's cloud and configured around the institution's workflows, data and controls. See Streetbeat for Finance.