Can AI Replace Appraisers?
AI is everywhere right now, and real estate is no exception. So, it’s fair if you’ve felt the existential question creep up: Can AI replace appraisers?
Right away, the answer is “No.” But to prove we aren’t biased in saying that, let’s break this down by what AI can and can’t do, specifically in the appraisal profession.
First of All, What Is “AI”?
“AI” stands for Artificial Intelligence, and the technology has evolved to have many uses. So, when someone says “AI,” they maybe referring to any of the following:
Generative AI/Language Learning Models (LLMs)
Generative AI can include tools that generate or revise text, images, and videos. These tools use data from the internet and other training sources to “learn” language and shape patterns to replicate. This type of AI might be used in appraisal for drafting narratives, summarizing documents, and rewriting for clarity.
Predictive Models and Algorithmic AI
Predictive AI tools are trained to estimate value from data. This type of AI may use machine learning, meaning the model “learns” statistical patterns from many prior examples (training data) to predict an output for a new case, rather than following a hand-written formula. In appraisal, this translates to automated valuation models (AVMs) or other statistical models that use property characteristics, location, and recent sales/market data to produce an estimated value (and sometimes a confidence score or range).
Workflow Automation
Automation tools classify, sort, flag missing fields, or trigger tasks. This kind of AI can be helpful for assisting in business operations like keeping a calendar organized, drafting and sending automatic response emails, sorting through documents, and so on.
What AI Tools Have in Common
At the core of AI technology is a system that “learns” or stores and repeats data from the inputs it is given. There are lots of popular AI tools (often generative) that source their data from the whole internet—allowing them to learn from the biggest pool of data possible. This allows for almost limitless “learning” potential, and tools that can keep up with the world around them in a groundbreaking way. The problem with this is that, of course, not everything on the internet is reliable, factual, or useful. There are also questions of fair use when it comes to the data used to train AI models.
So, in short, AI does not “magically” complete datasets, make predictions, or answer questions. It learns from patterns in the data it has access to. If the inputs are thin, outdated, biased, or plain wrong, outputs can be confidently wrong, too. See where we’re going with this?
Like any kind of technology, with great power comes great responsibility. The responsibility with AI is to maintain your critical thinking, follow your compliance guidelines, and use your best, human judgment first, during, and after using AI tools to assist your work. Now, here’s what you can do with your new powers.
What AI Can Do in Appraisal Work
AI tools are useful for helping people work faster, more efficiently, and sometimes for checking their work over. In appraisal, this can be done in a few different ways.
Summarize Property and Market Data
If you’re staring at a pile of MLS notes, public records, listing history, prior photos, and neighborhood descriptors, AI can help you:
Condense long descriptions into a few neutral sentences
Pull out “decision-relevant” points (renovations, known defects, key dates, marketing history)
Create a draft market-conditions paragraph from a specific report you provide it
How to do it: Using an AI tool, paste in your own bullet notes from market research and ask AI to format them into a clean, neutral paragraph — then you verify every claim before it goes into the report.
What to watch for: AI is a great summary tool, but it tends to pickup on biases, even going as far as hallucinating material to better fit what its user is requesting.
Organize Comps and Report Inputs
AI (and non-AI automation tools) can help you reduce the “busywork” in comp management, like:
Sorting comp notes by similarity buckets
Creating a checklist of missing fields (GLA source, condition notes, verification steps)
Standardizing your internal comp comment format so you’re consistent across files
How to do it: If your comp notes are messy, AI can help you convert “brain dump” into a consistent template.
What to watch for: Keep an eye out for biases when using AI to categorize or sort data
Assist with Report Drafting
This is where many appraisers get real value, especially if writing is the slowest part of your workflow.
AI can help you:
Tighten wordy sentences
Remove editorial tone and replace it with neutral, professional phrasing
Improve readability and consistency across report sections
How to do it: When using a generative AI model, offer a prompt based on concrete stats, fact, or collected data and ask it to analyze that data. For example: “Here are my verified facts and conclusions. Help me edit my analysis for clarity.”
What to watch for: Always make sure that the analysis supports only the data given, and not data that the AI model produced or is referencing from another source.
Research Support (Reading Lists and Summaries)
One of the most useful features of AI is the support it can offer in your research. You can use it to help dive deeper than a Google search, and it can offer explanations for different trends that you find. It can also help you organize your own research findings, like:
Summarizing a public market report you provide
Generating questions you should answer before you finalize analysis
Creating a short list of related sources to explore
But for any “what’s happening in the market” statements you may publish, treat AI as the intern, not the expert. You still need credible, primary sources.
What AI Can’t (and Shouldn’t) Do
Determine Value in a Way that Replaces Appraisal Development
Yes, AVMs and other models can generate value estimates. But appraising isn’t just producing a number — it’s developing and reporting a credible opinion under defined standards, for an intended use and intended user, with a scope of work you must be able to defend by USPAP standards.
Even The Appraisal Foundation’s current technology-focused work is aimed at guiding responsible use of technology, not outsourcing the appraiser’s role. The ASB’s proposed AO 41 is explicitly about “Use of Technology in an Appraisal or Appraisal Review Assignment.”
Replace Professional Judgment (and Accountability)
Some decisions go beyond the data that you find. AI cannot be held to the same standard of professional judgment as, well, a professional appraiser! These are questions that you should be asking yourself —not your AI tool — during your appraisal process:
What scope is credible for this assignment?
When is available information sufficient or insufficient?
How do you reconcile contradictory indicators?
What’s the most credible explanation for your reconciliation?
Even if a language model has the capability to produce a plausible, or even nice-sounding narrative, you own the assignment results.
Ensure USPAP Compliance
Despite the access that AI tools have to almost any piece of data, rulebook, or legal file, AI doesn’t know USPAP like you do. The USPAP is a set of ethical and performance obligations that must live in your decisions, disclosures, competency, and process. So while AI can help you communicate clearly, it cannot guarantee that what’s written is compliant, credible, or appropriately supported. That is your job.
What’s Changing at The Appraisal Foundation Level Regarding AI and Technology
If you’re looking for the most concrete “Appraisal Foundation-level” development tied to AI, it’s the ASB’s work on Proposed Advisory Opinion 41 (AO 41), which is explicitly focused on technology use in appraisal and appraisal review assignments.
A Texas board summary described AO 41 as proposed guidance on the “use of technology in appraisal practice,” noting the ASB released an exposure draft and invited public comment.
Industry stakeholders have been paying attention, too. The National Association of REALTORS® (NAR) publicly noted it submitted comments in response to the AO 41 exposure draft and emphasized appraiser competency and credible, independent valuations.
So, while the industry evolves to encompass new technological capabilities, the focus is on responsible integration while keeping the appraiser accountable for credible work. In other words? Appraiser, your job may be evolving with the times, but nothing can eliminate or undercut your expertise and your human perspective.
Keep Your USPAP Foundation Current as Tools Evolve
In a world with constantly evolving technology, the rules of the game seem like they are always in flux. But as an appraiser, you can make sense of a nearly lawless time by staying on top of your education and keeping yourself sharp. If you’re experimenting with new tech (or getting questions about it from clients), this is a good moment to make sure your fundamentals are solid.
One way to handle the fundamentals? Take a USPAP Update Course as part of your appraisal continuing education, so you can evaluate new tools through a standards-first lens.
