Experts Warn Against Outsourcing Real Estate Investing to AI

AI lacks the fiduciary duty and human judgment needed for successful property investments

Apr. 10, 2026 at 9:37pm

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An extreme close-up of intricate, industrial-looking financial machinery and mechanisms, representing the complex infrastructure underlying real estate investing.As AI becomes more prevalent in financial services, experts warn that over-relying on AI for real estate investing could lead to poor decisions due to its lack of fiduciary duty and human judgment.NYC Today

Experts caution that while AI can provide useful data and analysis for real estate investing, it lacks the fiduciary duty and human judgment needed to make sound investment decisions. They advise investors to use AI as a tool to inform their decisions, but not to fully outsource the investment process to AI.

Why it matters

As AI becomes more prevalent in the financial sector, there are growing concerns about over-relying on AI for major investment decisions, especially in the complex and personal world of real estate investing. Experts warn that AI's lack of fiduciary duty and inability to fully grasp the nuances of real estate could lead to poor investment choices.

The details

Experts say that while AI has the financial expertise to manage money, it lacks the legal and ethical responsibility to act in the best interest of the investor. This 'accountability gap' is a key issue for real estate investors using AI for property valuation, portfolio balancing, and other investment decisions. AI can provide useful data and analysis, but it cannot replace the human judgment needed to weigh factors like risk tolerance, timing, access to funds, and long-term goals.

  • In 2023, a Schwab Advisor Services study found that AI adoption among independent registered investment advisors (RIAs) had more than doubled, with 63% now using AI tools in some capacity.

The players

Andrew Lo

Finance professor and director of the Laboratory for Financial Engineering at the MIT Sloan School of Management.

Mohamed Yousuf

CEO and co-founder of Smart Workforce AI, a workforce intelligence platform.

Alex Blackwood

Co-founder of mogul, a fractional real estate investing platform.

Davis Householder

Managing director, business development and acquisitions at MycoManagement.

Jay Zigmont

Founder of Childfree Trust and a CFP.

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What they’re saying

“The problem that we have to solve is not whether AI has enough expertise. The answer right now is, clearly, AI has the [financial] expertise. What they don't have is that fiduciary duty. They don't have the ability to suffer consequences if they make a mistake to the same degree that a human adviser does.”

— Andrew Lo, Finance professor and director of the Laboratory for Financial Engineering at the MIT Sloan School of Management

“Relying completely on AI misses the judgment that real estate investment needs.”

— Mohamed Yousuf, CEO and co-founder of Smart Workforce AI

“Without good assumptions and judgment, you can't make good investments. That is why we believe trust and access remain the real moats in this industry.”

— Alex Blackwood, Co-founder of mogul

“The fiduciary question only kicks in when someone is managing other people's money and, in that case, the obligation stays on the licensed adviser regardless of what tools they used to get there. AI doesn't absorb your fiduciary duty any more than a calculator does.”

— Davis Householder, Managing director, business development and acquisitions at MycoManagement

“You are responsible for the questions you asked, and the AI does not have a financial duty to you.”

— Jay Zigmont, Founder of Childfree Trust and a CFP

What’s next

Experts suggest that the best way to use AI in real estate investing is to leverage it for streamlining operational tasks like paperwork and coordination, while keeping a human fiduciary in charge of the final investment decisions to ensure they align with the investor's specific goals and risk tolerance.

The takeaway

While AI can be a useful tool for real estate investors, providing data and analysis, it lacks the fiduciary duty and human judgment needed to make sound investment decisions. Investors should use AI to inform their choices, but not fully outsource the investment process to AI, as this could lead to poor investment outcomes.