Family Offices Love Investing in AI, but Are They Using It?

83% of family offices rank AI a top investment theme, yet only 22% use it in operations. The 2026 data on the gap, the barriers, and how to start closing it.

Jul 23, 2025

AI,

Family offices

Author image

Ken Gamskjaer

CEO & Co-founder

Last updated: September 7, 2026.

Quick Answer

Family offices are heavy investors in AI and light users of it: 83% rank AI among their top five investment themes, yet only 22% use it for operational tasks or investment analysis. The gap comes from know-how rather than resistance, with a lack of internal expertise the single biggest barrier, followed by data privacy and poor integration with legacy systems. The offices moving fastest start with one painful workflow, and Aleta's AI-ready platform is built for exactly that, with document extraction today and an open MCP layer for the office's own agents.

Key Takeaways

  • 83% of family offices name AI as one of their top five investment themes for the next five years (BNY).

  • 65% of family offices are invested across the AI technology stack, and around half of those with AI allocations hold data center infrastructure, AI software and platforms, and semiconductor producers (UBS).

  • Only 22% of family offices use AI for operational tasks or investment analysis, up from 13% in 2024, and 16% use it for investment performance reporting (Citi).

  • 57% of family offices cite a lack of internal expertise as the biggest barrier to adopting AI (Citi).

  • 69% of family offices expect to use AI for financial reporting and data visualization within five years, 64% for summarizing documents, and 62% for portfolio analysis (UBS).

  • Generative AI reached roughly 40% adoption within two years of launch, a level the internet took about five years and the PC about twelve years to reach (St. Louis Fed).

Why Do Family Offices Invest in AI but Not Use It?

It’s one of the strangest paradoxes in the investment world right now: family offices are laser-focused on AI as an investment theme but hesitant to use it in their own operations.

AI has become the darling of five-year outlooks, topping trend lists and soaking up attention in management meetings. Yet when it comes to internal adoption, most family offices are still standing at the starting line trying to figure out which way to run.

In this article, I want to unpack this curious disconnect and what it means for family offices and vendors alike.

How Much Are Family Offices Investing in AI?

In BNY's 2025 global single family office survey, 83% of family offices named AI as one of their top five investment themes for the next five years. Even as concerns rise around AI valuations, regulatory uncertainty, and geopolitical competition, the long-term bet is clear: AI will shape the decade ahead.

Most interesting investment opportunities over the next 5 years (source: BNY's 2025 global single family office report)

The UBS Global Family Office Report 2026 shows the theme has broadened rather than cooled: 65% of family offices are now invested across the AI technology stack, and around half of those with AI allocations hold data center infrastructure, AI software and platforms, and semiconductor producers.

BlackRock's 2025 data adds more texture: 45% of family offices are investing in AI companies, and 51% are backing opportunities expected to benefit from AI's rise.

J.P. Morgan's 2026 report finds the same conviction, with 65% of family offices planning to prioritize AI investments, though over half have no exposure to the growth equity or venture capital where much of that innovation sits.

In short: everyone wants exposure to AI in their portfolios.

But what do the numbers say when it comes to internal adoption?

How Many Family Offices Actually Use AI in Operations?

Only 22% of family offices use AI for operational tasks or investment analysis, according to Citi's 2026 research, up from 13% a year earlier. BlackRock's 2025 survey, which uses a broader definition, puts the figure at 33%, a decent jump but still far from mass adoption.

Indicator
Share of Family Offices
Source
Rank AI among top five investment themes
83%
BNY 2025
Invested across the AI technology stack
65%
UBS 2026
Plan to prioritize AI investments
65%
J.P. Morgan 2026
Use AI for operations or investment analysis
22%
Citi 2026
Use AI for investment performance reporting
16%
Citi 2026
Cite lack of internal expertise as the biggest barrier
57%
Citi 2026
How family offices are investing in, using, or considering to use AI (source: BlackRock 2025 global family office report)

And what are they doing with it?

According to BlackRock, 34% use AI to improve investment analytics, such as automating data consolidation or document interrogation. Some (17%) apply it in due diligence and reporting. Most deployments are still back-office focused.

How family offices are using or considering to use AI (source: BlackRock global family office report)

Why Are Family Offices Slow to Adopt AI?

The gap between AI investment and AI implementation comes down to know-how rather than resistance, and most family offices say they simply do not know where to start.

Family offices don't know where to start when it comes to AI (source: BlackRock's 2025 global family office report)

I really want to use AI, but I don’t know how to apply it [...]. It’s still too immature. I hope I can get some tools to save a bit of time and make my job easier. But we haven’t seen anything we can trust to address our big bottlenecks around information gathering and processing.

APAC-based family office

I think most people do not understand or know how to use artificial intelligence, and that most who say they are using it really are not, because it is so complicated. They are probably just using ChatGPT.

U.S.-based CIO

And let’s be fair: the operational landscape of a family office isn’t exactly plug-and-play. Offices are lean (often fewer than 20 employees), privacy-focused, and highly customized to the values of the family. The idea of throwing a black-box AI system into the middle of all that is enough to make most principals reach for the nearest bottle of Burgundy.

The barriers are real. BlackRock highlights the top concerns: data privacy worries, lack of AI expertise, AI hallucinations, and lack of integrations with legacy systems. Citi's 2026 research ranks expertise first by a wide margin, with 57% of family offices naming it the single biggest barrier.

Biggest barriers to using AI (source: BlackRock's 2025 global family office report)

The integration barrier is the one a platform choice can remove outright. When the wealth data already sits in a reconciled, structured layer with an open API and MCP access, the office can connect whichever AI tool it trusts to its own data instead of waiting for a vendor to build the feature, which is how Aleta's AI-ready wealth intelligence platform is designed.

Is AI Adoption in Family Offices Accelerating?

According to UBS's 2025 report, 69% of family offices expect to use AI for financial reporting and data visualization in the next five years. Another 64% anticipate using it for summarizing documents and statements, and 62% for portfolio analysis.

How family offices are most likely to use AI in the next 5 years (UBS' 2025 global family office report)

There’s an emerging blueprint here: start small, automate the painful stuff, and build trust over time. The direction is becoming clearer. The question is whether family offices will act before the pace of adoption outpaces them.

Because it is.

Generative AI reached roughly 40% adoption within two years of its first mass-market product, a level that took the internet about five years and the PC about twelve, according to the St. Louis Fed.

What Should AI Vendors Offer Family Offices?

Most AI pitches to family offices fail because they describe a technology when the buyer wants a chore removed. They sell AI like it’s some futuristic spaceship you get to pilot. But most family offices aren’t looking to orbit Jupiter. They’re just trying to get Excel out of their Mondays.

One family office told BlackRock: “We replaced three days’ Excel slog per month with a 30-second AI script.” And that’s exactly the kind of use case that needs more airtime.

Family offices don’t need another platform promising “cognitive synergy and autonomous alpha.” They need someone to walk in, point to a pain point (like manager letters, performance reports, or tracking unfunded commitments across entities), and say, “Here’s how AI can take this from six hours to six seconds.”

That’s it. That’s the pitch.

Aleta Intelligence works exactly that way, reading capital call notices, K-1s, and fund statements as they arrive and turning what used to be 15 to 20 staff hours a month of private markets document handling into minutes.

In many ways, AI is going through the same awkward teenage years we saw with cloud computing or data analytics. Early adopters are experimenting. Most others are watching. Everyone's curious. But few are confident enough to commit.

We wrote a full guide on how to vet family office software vendors in the AI era – what to ask, what to avoid, and how to spot real functionality versus vaporware. If you’re shopping around, it’s worth a read.

How Should Family Offices Start With AI?

The right first step with AI is one painful workflow, automated well, and the strategy can follow from there.

Right now, family offices are at the AI starting line. They’re stretching. They’ve bought the fancy shoes. But they’re still unsure which direction to run.

The good news is they don’t need to sprint. But they do need to take a step.

The family offices that start small, cleaning up reporting, automating admin, tightening workflows, will find that AI is a smarter way to do familiar things.

And vendors? The ones who speak in real-life outcomes will win this race.

How Does Aleta Approach AI?

Aleta is built for the AI era in two layers. Aleta Intelligence handles document ingestion today, reading capital calls, K-1s, and fund statements automatically, and the open API and MCP layer let family offices deploy their own AI agents directly on a foundation of clean, reconciled wealth data. Aleta's family office software was named Best Data Provider at the Family Wealth Report Awards 2026 and Best Consolidated Reporting at the WealthBriefing Awards 2026, and our guide to the state of AI in family offices covers why the data layer has to come first.

We love talking about this space – the future of AI, data, and wealth tech.

So, whether you're comparing platforms or just exploring what's next, reach out. Even if we're not your end destination, we’ll help you ask better questions along the way.

Frequently Asked Questions About AI in Family Offices

How many family offices use AI?

Citi's 2026 research puts it at 22% for operational tasks or investment analysis, up from 13% in 2024, with 16% using AI for investment performance reporting. BlackRock's broader 2025 measure puts operational use at 33%. Either way, adoption trails investment interest by a wide margin.

Why are family offices investing in AI but not using it?

The investment case is about returns and the operational case is about trust. 57% of family offices cite a lack of internal expertise as the biggest barrier, alongside data privacy concerns, AI hallucinations, and poor integration with legacy systems. Small, privacy-focused teams are reluctant to put a black-box tool in the middle of family data.

What do family offices use AI for?

Mostly back-office and analytical tasks: automating data consolidation, interrogating documents, summarizing fund statements and manager letters, and producing reports. Portfolio construction and risk or compliance work remain rare, at 13% and 10% respectively in Citi's data.

What are the biggest barriers to AI adoption in family offices?

Lack of in-house expertise is first, cited by 57% of family offices. Data privacy, the risk of AI hallucinations, and a lack of integration with existing systems make up the rest. Expertise and integration are the two a platform choice can address directly.

How should a family office start using AI?

Pick one workflow that consumes hours every month, such as processing capital call notices or consolidating manager reports, and automate that first. Confidence builds from a visible result. Platforms like Aleta provide the structured data foundation and open API and MCP access that let an office connect AI tools to its own data without a rebuild.