In the last issue, we covered GPT-5.5's launch, the 82% adoption milestone, and virtual staging costs dropping below $1 per photo. This week, the story is shifting: buyers now expect AI in the transaction, but trust is dropping fast. We'll break down the Cotality survey that has the industry talking, look at a new AI voice agent that prospects literally mistake for a human, and explain why the next wave of real estate AI is about to make "write me a listing description" look quaint.

Let's get into it.

The Big Story: 75% of Buyers Expect AI in the Process -- But Trust Is Falling

A major new survey from Cotality (covering buyers in the U.S., Canada, the U.K., and Australia) just confirmed what many agents have been sensing: buyers assume AI is already part of the transaction. 75% of homebuyers now expect AI to be embedded somewhere in the real estate process. They believe it's being used by property websites (86%), insurers (82%), lenders (80%), and real estate agents (80%).

Here's the tension: trust in AI to help find a home dropped to 16% in 2026, a 14-point fall from 2025. And 68% of buyers say clear AI labeling for property listings and mortgage recommendations is important or essential. More than a third (37%) say that labeling should be mandatory.

What This Means for You

Buyers expect you to use AI. They just don't fully trust AI on its own. That gap is your competitive advantage.

The agents winning right now are the ones who use AI behind the scenes to produce better content, respond faster, and market more consistently, then put their name, expertise, and judgment front and center for clients. 44% of buyers said they'd pay someone to verify AI decisions. That "someone" is you.

The practical takeaway: use AI to create your first drafts, staging briefs, market summaries, and follow-up sequences. But always present the final product as your professional work product, reviewed and approved by a licensed agent who knows the local market. That's not a workaround. That's the business model.

Meet Felix: The AI Agent That Prospects Mistakes for a Human

Fello, a lead intelligence platform already used by real estate teams across the country, just launched an AI voice agent called Felix that is turning heads in the industry.

Felix calls, texts, and qualifies leads autonomously, then hands warm prospects off to a human agent while the prospect is still on the line. It doesn't work from a script. It ingests Fello's underlying contact data (property ownership history, equity positions, mortgage type, AVM estimates, MLS activity) and builds a personalized outreach strategy for each contact.

In one demo, a prospect mentioned using a 401(k) for a down payment, and Felix composed and sent a personalized email on the spot about 401(k) withdrawal strategies for homebuyers. Not from a template. Generated live from the context of the conversation.

The company uses something they call "disfluency engineering," which means deliberate pauses, hesitations, and inflection cues layered onto the voice engine. During beta testing with about 20 teams, two separate prospects told Felix they thought they were talking to a real person, and both continued the conversation after learning the truth.

Why This Matters

Felix represents the second wave of real estate AI. The first wave was generative: write me a listing description, draft an email, create a social post. The second wave is agentic: AI that monitors your database, identifies opportunities, and takes action without waiting for a prompt.

Felix is in beta now and expected to launch publicly around late June 2026. It's worth watching even if you're not ready to adopt it, because this is where the whole industry is headed. Your CRM won't just store contacts. It will work them.

The Shift from Generative to Agentic AI (and What It Means for Your Business)

If you've only been hearing about AI as a "content creation tool," you're about to hear a new term a lot more: agentic AI.

Generative AI (what most agents use today) responds when you ask it something. You type a prompt, it gives you output. Agentic AI is different. It receives a goal, breaks it into steps, executes each step, and checks its own work across multiple tools. It runs whether you're paying attention or not.

According to a January 2026 survey by Delta Media, 97% of brokerage leaders report their agents are actively using AI, and the technology has crossed what they call a "tipping point" from experiment to infrastructure. But the next tipping point is bigger: AI-enhanced CRMs are projected to be used by nearly 89% of top-performing agents by the end of the year.

Inman ran a piece in May making the point directly: the real opportunity in real estate AI is not faster content creation. It's intelligence. Identifying which contacts are likely to be listed in the next 90 days. Automatically adjusting follow-up cadence based on engagement signals. Flagging price reduction opportunities based on market comps. That's what agentic systems do.

What You Should Do Now

You don't need to buy an agentic CRM today. But you should be building habits that prepare you for one. That means keeping your CRM data clean, tagging contacts consistently, logging interactions, and using AI to create content that goes INTO your CRM rather than living in a random Google Doc. When the agentic tools mature (and they're maturing fast), the agents with clean data will be the ones who benefit first.

Tool Spotlight: Fello

What it is: A lead intelligence and engagement platform for real estate teams. Fello connects to your existing CRM and MLS data, identifies homeowners likely to sell, and now (with Felix) can autonomously contact and qualify them.

What it costs: Pricing varies by team size. Fello offers plans for individual agents and teams. The Felix AI voice agent is currently in beta with a public launch expected in late June 2026.

Why it's worth a look: Most AI tools in real estate sit in a separate tab and wait for you to use them. Fello plugs directly into your lead pipeline and works in the background. Its underlying data layer (equity positions, AVM estimates, ownership history) provides the AI with context that generic chatbots lack. If you're running a team and lead follow-up is your bottleneck, this is one to watch.

Website: fello.ai

Prompt of the Week: The Seller Objection Handler

The spring market is sluggish. Sellers are hesitant. Use this prompt to prep for the conversations that matter:

"I'm a real estate agent preparing for a listing appointment with a homeowner who wants to sell but is hesitant because of [specific objection: current mortgage rates, fear of not finding a replacement home, uncertainty about pricing, etc.]. The home is a [property type] in [city/neighborhood] with an estimated value of [price range]. Generate 3 talking points that acknowledge their concern, provide relevant market data to reframe the situation, and present a specific action step I can propose. Keep the tone consultative, not pushy. Include one question I can ask to move the conversation forward."

This works because it forces you to name the specific objection before you walk in. Generic preparation leads to generic conversations. Specific preparation leads to signed listing agreements.

Market Snapshot -- Late May 2026

The spring selling season is underwhelming. April existing home sales came in at 4.02 million (seasonally adjusted annual rate), barely up 0.2% from the seven-month low in March and slightly below the expected 4.05 million. The Midwest was the bright spot, up 2.2%, while the West fell 2.6%.

Mortgage rates are sitting at roughly 6.45-6.70% for a 30-year fixed as of today (May 26), depending on the source. MBA expects rates to hover near 6.50% through the rest of 2026, while Fannie Mae projects 6.3%. Either way, the sub-6% environment many buyers were hoping for hasn't materialized.

The good news: inventory continues to build. 1.47 million units at the end of April, up 5.8% month over month, with 4.4 months of supply. Median sale price hit $417,800, up just 0.9% year over year. Price growth has essentially flatlined nationally, though regional divergence remains dramatic.

NAR Chief Economist Lawrence Yun noted the contradiction: a record-high stock market alongside historically low consumer confidence. That uncertainty is keeping many potential buyers and sellers on the sidelines.

For agents: the listings that move are those with strong marketing, professional (or AI-staged) photography, and an aggressive digital presence. The playbook's Content Engine workflow is designed for exactly this market. One input, ten outputs, consistent visibility. The agents doing the work are the ones getting the deals.

Get the Full System

The playbook covers the Content Engine, 36 copy-paste prompts, AI virtual staging strategy, Fair Housing compliance, automation blueprints, and a 30-day implementation plan.

What's your take on agentic AI? Are you ready for your CRM to start making calls, or does that freak you out a little? Reply to this email -- the best responses get featured next week.

Stay ahead, AI Realtor Edge www.AIRealtorEdge.com

Disclaimer: AI Realtor Edge is for informational and educational purposes only. It is not legal, financial, tax, or real estate advice. Results are not guaranteed and will vary. Always consult licensed professionals for your specific situation.

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