Yesterday, Inman reported that, rather than replacing real estate agents, artificial intelligence is increasingly being used to streamline the operational side of the business. That shift, agents say, is where the technology’s real value lies.
In other words, AI isn’t changing what makes a successful agent — it’s giving them more time to lean into their work. And that’s because the reality is that there are still plenty of things AI isn’t good at, and plenty of tools that don’t live up to the hype.
Below, we dive into the promise and the limitations agents are finding as they adopt AI.
What AI still can’t do
That sentiment — that AI can assist but not replace — was nearly universal. While the technology is improving rapidly, agents consistently pointed to the same limitations: judgment, trust and human connection.
“AI cannot read the room in a heated negotiation,” Raleigh Realty’s Ryan Fitzgerald said. “It also cannot help a first-time buyer who is nervous.” Those moments when deals get complicated, emotions run high, or decisions carry long-term consequences are where agents still provide their greatest value.
“If a buyer is choosing between two homes that are almost identical,” Fitzgerald added, “the decision isn’t based on square footage. It’s based on their life.”
Latham Jenkins, a luxury agent in Jackson Hole, Wyoming, said the same dynamic is even more pronounced at the high end of the market. “In luxury real estate, the emotional and experiential component is still human-led,” he said. “AI helps me prepare at a higher level and execute with greater precision.”
Even agents who are actively adopting AI are careful about where they draw the line. Erik Leland of Realty First said he has avoided fully automated CRM systems and autonomous client workflows altogether. “Overusing AI seems like a good way to kill trust,” he said.
A higher bar for everyone
If AI isn’t replacing agents, it is changing what it means to be competitive. Across interviews, one theme came up repeatedly: AI is raising the baseline.
Agents can now produce better marketing, faster. They can analyze data more easily. They can respond more quickly and more professionally. As those capabilities become widespread, they stop being differentiators and start becoming expectations.
“I think AI will actually make the bar higher,” Clever Offers’ Tim Gaasch said. “We’re going to see a more consultative approach to our business.”
Fitzgerald put it more directly: AI will define a higher standard for what “good” looks like. “Agents who embrace AI will provide a much higher quality of service,” he said. “Agents who refuse to change will struggle.”
Ben Mizes at Clever Offers echoed that divide. The agents who use AI effectively will operate at a new level, while those who don’t risk falling behind.
Leland believes AI may accelerate an industry shakeout that was already under way. He’s not worried about experienced agents with strong relationships. But those doing only a few deals a year, without a clear value proposition, may find it harder to compete.
Smarter consumers, new dynamics
AI is also changing how consumers behave. Leland said some clients have told him they found his name by asking ChatGPT or Gemini for local recommendations. It’s a shift that could soon reshape how agents get discovered online.
“It’s effectively replacing long-tail keyword search,” he said.
Buyers are also arriving earlier in the process with more information. Many are using AI tools to research neighborhoods, schools and pricing before they ever contact an agent. “That empowers the consumer,” Leland said. “It makes it more important that the agent has a deep understanding.”
Fitzgerald has seen a similar trend, particularly around pricing. More clients are using AI tools to estimate their home’s value before reaching out. That can be helpful, he said, but also misleading. “Many of these tools provide very inaccurate values,” he said, especially for unique properties or in volatile markets.
On the marketing side, AI is creating both opportunities and risks. AI-generated listing descriptions and virtual staging are becoming more common, but not always more effective. Fitzgerald described some of the results as “uncanny valley” — polished, but slightly off, and sometimes misleading.
Leland said the same applies to listing copy. Some AI-generated descriptions work, but others clearly don’t. “Consumers can tell,” he said.
A structural shift, not a replacement
For some agents, the bigger story isn’t what AI is doing today but what it could become. Austin Hudspeth, a broker in Bellingham, Washington, with a background in SaaS, believes many agents are still underestimating the technology.
Right now, he said, most are treating AI as just another tool, something akin to social media or SEO. But over time, it could reshape how agents generate business and interact with the broader tech ecosystem.
“It’s a categorical pivot for the industry,” he said, pointing to the potential for agents to build and control more of their own lead pipelines rather than relying on third-party platforms. Even so, Hudspeth doesn’t think the fundamentals will change.
“The core won’t change,” he said. “Deep local insight, relationships and community access — that’s still the backbone of the business.”
Jenkins framed it similarly, calling AI “a structural shift” rather than pure hype or a clear-cut threat. “The transactional middle of the business will become more automated,” he said. “But the highest-level advisory role becomes more valuable.”
Moving fast, but not blindly
One of the biggest challenges agents face right now isn’t access to AI tools. It’s deciding which ones actually matter.
“There are so many new tools coming out every week,” Gaasch said. “It’s hard to determine what’s really worth using and what’s just a fad.”
Fitzgerald said the same. The problem isn’t keeping up with new developments but evaluating return on investment. “Every week there seems to be another ‘game-changing’ AI product,” he said. “Many of these are gone in six months.”
That’s why many agents are taking a measured approach. South Florida Realtor Alexei Morgado said he dedicates a small amount of time each day to testing tools that solve specific problems, rather than chasing every new release. “Even 15 minutes a day is enough to keep up if you stay focused on what actually solves problems,” he said.
Leland, meanwhile, is intentionally moving more cautiously. “I have seen how quickly a bad tech implementation can burn a client relationship,” he said.
