Short answer: Not any time soon, but it is already replacing tasks. Buyers and sellers still overwhelmingly work with agents, while agents themselves are adopting AI quickly for writing, follow-up and admin. The agents most at risk aren’t the ones using AI. They’re the ones whose value is mostly information, data entry or slow replies, which are exactly the things AI does cheaply.
“Will AI replace agents?” gets either panic or dismissal. Neither helps. This guide looks at the numbers from the National Association of Realtors (NAR), separates tasks from jobs and ends with practical steps to stay on the right side of the change.
In this guide:
- What buyers and sellers are actually doing
- How fast agents are adopting AI
- Which tasks are most (and least) exposed
- Where the real risks are
- How to future-proof your business
- FAQ
What Buyers and Sellers Are Actually Doing
If AI were replacing agents, consumer behavior would be the first place to see it. So far it isn’t showing up there.
- In NAR’s 2025 Profile of Home Buyers and Sellers, 88% of buyers used an agent or broker, rising to 92% among buyers of previously owned homes, and 91% of sellers used an agent, equal to the highest share on record. nar
- Forty-three percent of buyers found their agent through a referral and 18% used an agent they had worked with before, and more than nine in ten buyers said they would use their agent again. virginiarealtors
- Consumers do start with technology: 46% of buyers began their search online, while 20% began by contacting an agent. nowbam
What this tells us: people use technology to search but still hire a person to navigate a high-stakes, complicated transaction. Most agents are also chosen through trust and referrals, which AI can’t easily replicate.
What it doesn’t tell us: these surveys cover people who completed a purchase or sale in the last year. They look backward, and they can’t tell us how behavior may shift as consumer AI tools improve.
How Fast Agents Are Adopting AI
Agents are not waiting. NAR’s 2026 Technology Report shows adoption growing in a single year:
- 23% of agents use AI daily and another 25% weekly, while the share who don’t use AI at all fell to 21% from 32% a year earlier. inman
- 81% of agents say saving time is their main reason for adopting new technology, up from 66% a year ago. nar
- The most common uses are marketing and communication: 56% of agents use AI to create social media posts and 52% use it to draft emails and follow-up messages. nar
- Among agents who use AI, 91% use ChatGPT, up from 58% last year. inman
The results are improving but uneven. 55% of respondents said AI has had a positive effect on their business, and the share reporting no business impact fell from 46% in 2025 to 35% in 2026. Still, roughly a third of agents see no impact yet, and 63% name the learning curve as their biggest challenge, with 59% pointing to cost. real estate in a digital age +2
What this tells us: adoption is broad but still shallow, mostly writing and follow-up. The agents who learn to go deeper (CRM automation, lead response, workflows) are likely to pull ahead of those who don’t.
A warning about statistics you’ll see online: some blog posts claim that most agents use AI every day. NAR’s own survey puts daily use at 23%. Always check who ran the survey, who was surveyed and when.
Which Tasks Are Most Exposed to AI?
Jobs are bundles of tasks. AI affects some of them far more than others. The ratings below are our editorial assessment, not survey data.
| Task | AI exposure | Why |
|---|---|---|
| First drafts of listings, posts and emails | High | Generative AI is already good at this |
| Note-taking, CRM updates, call summaries | High | Repetitive and easy to automate |
| First response and basic lead qualification | High | Speed matters and scripts are predictable |
| Photo editing, staging, marketing assets | High | Visual AI is improving quickly |
| Transaction checklists and reminders | Medium | Automatable, but errors are costly |
| Market data and CMA preparation | Medium | AI can summarize data; pricing judgment is still human |
| Understanding what a client really needs | Low | Requires listening, trust and context |
| Negotiation | Low | Strategy, emotion and timing |
| Local, on-the-ground knowledge | Low | Depends on being in the community |
| Accountability for advice and compliance | Low | Licensed professionals carry the responsibility |
Where the Real Risks Are
“No replacement” doesn’t mean “no change.” These are the pressures worth taking seriously:
- Information-only agents become less valuable. If your main value is access to listings or basic market facts, consumers can get that elsewhere, and AI makes it easier.
- Fewer hours per transaction. If AI saves time on admin and marketing, clients and brokerages may expect more for less, which can put pressure on fees and team structures.
- Higher client expectations. Buyers and sellers who use AI to research arrive better informed and expect faster, sharper answers.
- Pressure to justify your value. Since the August 2024 practice changes that followed the NAR settlement, agents are expected to explain their services and compensation more explicitly, such as through written buyer agreements. Confirm current requirements with your broker. Clear proof of value matters more than before.
- Weak spots in your workflow. Slow lead response and poor follow-up are easier to fix with AI than before, and competitors are fixing them.
- Compliance exposure. Careless AI use can create fair housing, privacy and disclosure problems. Speed without review spreads errors faster.
How to Future-Proof Your Business
- Automate the repetitive work first. Drafts, notes, scheduling and follow-up are the best places to save time.
- Spend the saved time on the human parts. More client conversations, better preparation for negotiations and stronger local expertise.
- Build your own reputation. Referrals and repeat clients are the strongest signal in the data. Make your name something people recommend.
- Show your value clearly. Be able to explain, in plain words, what you do that a tool can’t, and give clients proof.
- Learn one tool at a time. The learning curve is the top barrier agents report. Pick one use case, practice for two weeks and measure the result.
- Keep a human in the loop. Review every client-facing message and verify every number. You’re accountable, not the AI.
Frequently Asked Questions
Will AI replace real estate agents in the next five years?
The data doesn’t point to that. Clients still rely heavily on agents, and the parts of the job that are hardest to automate are trust, negotiation and local judgment. Tasks are what’s changing fastest. Forecasts about the longer term are uncertain, and anyone who claims to know for sure is guessing.
Can buyers just use ChatGPT instead of an agent?
They can research with it, and many do. But a transaction involves contracts, negotiation, inspections, deadlines and legal responsibility, where mistakes are expensive and an AI chatbot can’t be held accountable.
Will AI lower agent commissions?
Nobody can say for certain. AI reduces the time some tasks take, which may increase pressure on fees, but commissions are shaped by many other factors, including market conditions and industry rule changes. The safest response is to be clear about the value you provide.
Which agents are most at risk?
Those who rely mainly on information access, offer slow service or avoid any technology. Agents with strong relationships, local expertise and good systems are in a better position.
I’m a new agent. Should I be worried?
Be prepared, not worried. Learn the basics of AI early, since it’s becoming a normal part of the job, and focus on building trust and referrals.
Final Thoughts
The data tells a consistent story: consumers still want agents, and agents are quickly learning to use AI. The question isn’t “AI or agents” but “agents with good systems or agents without them.” Start with one task, keep your judgment in charge and invest in the relationships that no tool replaces.