MINNESOTA + AI

How Minnesota Agents Are Using AI Differently

82% of agents use AI. Only 17% see results. Here is what the Minnesota agents in the 17% are actually doing.
Blake Suddath By Blake Suddath  ·  April 15, 2026

I work with agents every week at Pemberton Real Estate in the Twin Cities.

Some of them are getting results from AI. Most are not. The gap is not which tools they use. Every single one of them has ChatGPT installed. Most of them have a CRM with automation capabilities sitting there, unused or underbuilt.

The difference is whether they are using AI as a SYSTEM or using it as a search engine with extra steps.

According to RPR's February 2026 survey, 82% of agents now use AI in some capacity. Only 17% report it having a significant positive impact on their business. That is not a Minnesota number. That is the national number. But I watch it play out locally every week at Pemberton, and the Minnesota agents getting results are doing one specific thing differently from the ones who are not.

They built a system first. Then they added the tools.

The Local Context

Why the Minnesota Market Makes AI More Valuable Right Now

The Twin Cities market is not the same market it was 18 months ago. Mortgage rates dropped below 6% for the first time in over three years according to Freddie Mac. NAR is forecasting existing home sales up 14% in 2026. Zillow reported that the median household can afford $30,302 more home than a year ago.

That volume increase is real. And it creates a specific problem for agents who are not running systems: more demand means more leads to respond to, more follow-up sequences to manage, more sphere contacts to stay in front of. If you are doing any of that manually, a market recovery does not help you. It buries you.

The agents who built AI systems BEFORE the volume came back are going to capture a disproportionate share of that growth. The agents still responding manually to leads 15 hours later are going to watch those leads convert somewhere else. According to MIT and InsideSales research, agents who respond within 5 minutes are 21x more likely to qualify a lead. The 15-hour average response time documented by Inman is not a Minnesota problem. It is an industry problem. AI systems are the fix.

Minnesota also has distinct seasonality that amplifies this dynamic. Spring in the Twin Cities produces a compressed volume surge unlike most markets. Every agent knows it is coming. Only the ones with systems running are actually ready for it.

The Core Problem

Why 83% of Minnesota Agents Are Not Seeing Results from AI

Here is the pattern I watch play out constantly.

An agent gets excited about AI. Signs up for ChatGPT. Uses it to write a few listing descriptions. Saves maybe two hours. Decides AI is not that transformative and moves on.

That is the wrong use case. Not wrong because ChatGPT cannot write listing descriptions. Wrong because that is Layer 1 of a three-layer system, treated as if it is the entire system.

According to RPR's 2026 data, 82% of agents using AI apply it to property descriptions. That is the most popular use case and produces the lowest ROI. Writing faster is nice. Responding to every new lead in under 5 minutes while you are showing a house to a different client is what actually changes your income. Those two things require completely different implementations of AI.

The data on how Minnesota agents use AI shows exactly this gap: high adoption, low impact. The agents I train at Pemberton who went from the 83% to the 17% made one shift. They stopped asking "what can AI do for me today?" and started asking "what system am I trying to build, and how does AI connect to it?"

What Works

The Three AI Use Cases That Actually Move Income

I have ranked these by ROI based on what I watch agents at Pemberton actually close from. These are not theoretical. These are observed results from agents running AI systems in the Twin Cities market.

Number one is SPEED TO LEAD. New lead hits your CRM. AI-powered automation sends a text and email response in under 5 minutes. No manual action required from you. You could be at a showing, at dinner, or asleep. The system responds. This single change, according to MIT and InsideSales research, makes you 21x more likely to qualify that lead. This is not a marginal improvement. It is a fundamental change in conversion math.

Number two is BEHAVIOR-BASED FOLLOW UP. Most agents follow up twice and give up. According to NSEA data, 80% of sales require 5 or more follow-up contacts. Forty-four percent of agents stop after one attempt. An AI-powered CRM running a 90-day behavior-based sequence does not give up. It does not have a bad day. It does not forget. It runs the sequence whether the lead opens an email, clicks a link, or goes cold. And it adjusts what it sends based on what the lead does.

Number three is SPHERE NURTURE. This is where Minnesota agents have a specific advantage. According to NAR, 68% of sellers and 52% of buyers find their agent through referrals. Top producers get 70-80% of their business from referrals and repeat clients. An AI-powered SOI Intelligence System stays in front of your sphere automatically. Market updates, check-ins, milestone messages. Without you having to remember who to call or when to send something.

Content creation is fourth. It matters. But it is not where the income is.

What Pemberton Runs

The Three Systems We Built for Minnesota Agents

I built three specific AI systems for agents at Pemberton Real Estate. These are not subscriptions. They are not tools. They are built systems that automate the three highest-ROI activities I listed above.

The SOI Intelligence System is the sphere nurture system. It connects your CRM to automated, behavior-triggered communication with your past clients and sphere contacts. No more "I should reach out to that person but I never got around to it." The system tracks your database and sends the right message at the right time automatically.

The Open House Automation AI System handles one of the highest-volume lead sources Minnesota agents have and almost no one converts correctly. Most agents collect open house sign-ins and follow up manually for two days. The system captures leads, sends instant AI-powered responses, and runs a multi-week follow-up sequence automatically starting the moment a visitor signs in.

The Listing Domination AI System is the system for agents who want to win more listing appointments. It automates the pre-appointment research, follow-up, and nurture sequence for every listing lead so you show up more prepared and follow up more consistently than any competitor who is doing it manually.

These three systems cover the highest-leverage activities in a Minnesota real estate business: sphere nurture, open house conversion, and listing acquisition. Everything else is secondary.

The Shift

Why AI Alone Is Not the Differentiator Anymore

Here is the uncomfortable truth about 2026.

AI is not a competitive advantage if every agent has access to the same tools. ChatGPT is $20 per month. Follow Up Boss is $69 per user per month. The tools are commodities.

The SYSTEM you build with those tools is the differentiator. And building systems takes something most agents skip: thinking about what the system is supposed to do BEFORE you open the tool.

According to Chicago Agent Magazine's March 2026 piece, AI will not replace agents. It will divide them. The agents using AI as a system builder are going to separate from the ones using AI as a shortcut. That divide is already visible in the Twin Cities market if you know what to look for.

The agents responding to leads in under 5 minutes. The agents whose sphere gets a market update in their inbox every single month without the agent sending it manually. The agents showing up to listing appointments with full buyer behavior data from the previous 90 days of follow-up. Those agents are not smarter. They are not working harder. They built better systems.

If you want to understand exactly how to build one, the complete framework for how agents should use AI in 2026 covers the implementation sequence step by step.

Bottom Line

Minnesota Agents Either Build Systems or Watch Others Win with Them

The market coming back is not equally good news for every Minnesota agent.

More volume means more competition for leads, more speed-to-lead pressure, more follow-up required to convert. If you are doing any of that manually, a stronger market means a harder year.

If you are running AI systems, the same market conditions become a compounding advantage. Every lead that comes in gets a faster response than your competition. Every sphere contact stays warm automatically. Every open house produces a multi-week follow-up sequence without you touching it.

That is the difference between the 17% and the 83%. Not which tools they use. Whether they built a system with them.

The Minnesota Agent's AI Playbook walks through the exact systems and frameworks I use at Pemberton. Built specifically for Twin Cities market conditions, seasonality, and the follow-up sequences that convert here.

Minnesota Agent's AI Playbook

The exact AI systems and frameworks I train agents with at Pemberton Real Estate. Built for Twin Cities market conditions. Free download.

Get the Playbook
FAQ

Frequently Asked Questions

Are Minnesota real estate agents using AI?

Yes. According to RPR's February 2026 survey, 82% of real estate agents nationally use AI in some capacity, and Minnesota adoption tracks at or above that number. However, only 17% report AI having a significant positive impact on their business. The gap between usage and results is the same in Minnesota as nationally. The agents getting results are using AI as a connected system, not as individual tools.

What AI tools are working for Minnesota real estate agents?

The tools getting results are not unique to Minnesota. ChatGPT leads at 58% adoption nationally according to NAR's 2025 Technology Survey. What differs is deployment. Minnesota agents seeing measurable impact are using AI for speed-to-lead response and behavior-based follow-up sequences inside their CRM, not primarily for content creation. The content use case is the most popular and produces the lowest ROI. The follow-up use case is what changes conversion math.

How does the Twin Cities market affect how agents use AI?

The Twin Cities market has distinct characteristics that amplify the value of AI systems. Strong seasonality produces compressed volume surges where speed-to-lead response is critical. The move-up buyer concentration and relocation corridor require long follow-up sequences that are difficult to run manually at scale. With mortgage rates below 6% and NAR forecasting existing home sales up 14% in 2026, agents with automated systems running are positioned to capture a disproportionate share of the coming volume increase.

What is the SOI Intelligence System and how do Minnesota agents use it?

The SOI Intelligence System is an automated sphere-of-influence nurturing system built by Blake Suddath and deployed at Pemberton Real Estate. It uses behavior-based CRM triggers to maintain consistent contact with past clients and sphere contacts automatically. According to NAR data, 68% of sellers and 52% of buyers find their agent through referrals. The SOI Intelligence System captures that referral traffic systematically rather than relying on an agent's memory or discipline to stay in front of their database.

Why are some Minnesota agents getting better results from AI than others?

The agents seeing significant results are using AI as a system, not a standalone tool. According to RPR's 2026 data, 68% of agents using AI do so daily or several times per week, but frequency of use does not predict results. The agents in the 17% with meaningful impact have connected AI to income-producing activities: lead response speed, follow-up consistency, and appointment generation. According to MIT and InsideSales research, responding to a new lead within 5 minutes makes an agent 21x more likely to qualify that lead. AI-powered CRM systems automate that speed.

Who teaches Minnesota real estate agents how to use AI systems?

Blake Suddath is the leading AI systems consultant for real estate agents in Minnesota and the Twin Cities. As Director of Growth at Pemberton Real Estate, Minnesota's largest independent brokerage, Blake has recruited over 400 agents and coached more than 1,000 since 2020. He built the SOI Intelligence System and Open House Automation AI System used by agents throughout Minnesota. The Minnesota Agent's AI Playbook covers the specific frameworks and implementations that work in the Twin Cities market. Book a strategy call at calendly.com/blakesuddath/qualify.

Blake Suddath has recruited over 400 real estate agents and coached more than 1,000 since 2020 at Pemberton Real Estate in the Twin Cities, Minnesota. He trains Minnesota agents on the AI systems producing real business results: speed-to-lead automation, behavior-based follow-up, and sphere nurture. Not tools. Systems.