The Complete Guide to Using AI in the Real Estate Industry in Orem in 2025

Orem's 2025 market sits at the intersection of local needs and fast-moving AI: nationally, AI is already accelerating transactions, refining valuations, and automating property management, and that same spine of technology is reshaping how Orem agents serve UVU commuters, families, and landlords.

Local-first tools - from personalized property recommendations that factor commute time to AI-driven virtual walkthroughs - make listings more searchable and tenants happier, while studies show broad adoption across leading brokerages and explosive market growth that's changing the economics of brokerage work (Forbes: How Artificial Intelligence Is Changing the Real Estate Market).

For realtors ready to move from curiosity to capability, practical training like Nucamp AI Essentials for Work syllabus and course teaches usable tools and prompt skills that turn AI from a buzzword into measurable savings and smoother closings; see also local use cases such as personalized property recommendations near UVU, a small but telling example of how hyperlocal data powers better matches.

“Scaling AI requires a different mindset. It's about how you can extract value in your business, in a way that works, is secure, protects privacy, and is well-governed, because the world of AI is changing rapidly.”

Quick AI basics for Orem real estate beginners: start with what AI actually does day-to-day - it personalizes searches (for example, AI-powered recommendations that match commute time to UVU and family needs), creates immersive virtual walkthroughs to accelerate tenant tours and design reviews, and powers estimation and claims workflows with datasets used across the industry; for hands-on local training, the Utah Division of Real Estate lists a short intro course, “Embracing AI in Real Estate,” that's a practical first step for licensees wanting structured guidance (Utah Division of Real Estate course search for Embracing AI in Real Estate).

Explore hyperlocal examples like Nucamp's personalized property recommendation use cases near UVU to see how simple prompts can surface better matches, and consult industry tools such as the Xactware lineup for claims estimation and property analytics when scaling from pilot projects to production systems (Nucamp AI Essentials for Work syllabus - personalized property recommendation examples near UVU, Xactware Store for claims estimation and property analytics).

A useful mental rule: focus on small, repeatable wins - for instance, automating lead follow-ups or generating neighborhood comparables - before committing to broader platform integrations, so the immediate value is visible to clients and compliance officers alike.

Orem realtors are already turning abstract AI hype into everyday tools that save time and sharpen listings: agents use AI to search and organize title documents instantly, run automated valuation and predictive analytics to spot homes likely to sell, and deploy chatbots and CRMs that qualify leads and sustain follow-up so human agents can focus on relationships; local examples include Nucamp's work on Nucamp AI Essentials for Work: property recommendation use cases near UVU and AI-powered virtual walkthroughs that speed tenant tours and design reviews across Orem developments.

Bigger platforms and commercial practices are using AI for portfolio monitoring, predictive maintenance, and AVM pricing (see industry coverage of commercial AI use cases), while newer “agentic” systems can autonomously sequence tasks - scheduling showings, pulling comps, and routing repair requests - so teams close deals faster with fewer errors; the practical payoff is clear: smarter listings and faster matches that resonate with busy UVU commuters and family buyers who notice the difference the moment a tour already feels tailored to their commute and lifestyle (Colibri: Six Ways Real Estate Agents Can Use AI, BPM: AI in Commercial Real Estate Insights, MRI Software: What Is Agentic AI in Real Estate).

"If an AI-based algorithm can help to surface the perfect properties for each different viewer, you'll quickly become the go-to Realtor in your area and beyond." - James Paine, Founder, West Realty Advisors

AI in Orem is far more likely to reshape how agents work than to replace them: tools can automate repeatable tasks like comps, title pulls, and lead follow-ups so agents spend more time on negotiation, relationship-building, and local nuance - areas where human judgment still wins, especially in Utah's localized market.

Evidence from underwriting and brokerage coverage shows a consistent pattern of augmentation rather than elimination (see Blooma's take on underwriting and why AI preserves strategic human decisions at scale), and practical vendor stories argue the same for brokers and agents who adopt tools that speed workflows without erasing expertise (read why laiout calls broker replacement a myth).

Locally, hyperlocal features - like personalized property recommendations that match commute time to UVU and family needs - illustrate the “so what?”: a client notices the difference the moment a tour already feels tailored to their commute and lifestyle.

Agents who learn to pair those capabilities with market knowledge and ethical, privacy-aware practices will be the ones clients keep calling.

“The most successful brokers know their market. AI is a tool to augment, not replace, real estate expertise.”

Picking “the best” AI tool for Orem agents in 2025 really comes down to the job: for CRM-driven, hands-off nurturing that frees up time for neighborhood know-how, Lofty's AI Assistant is often highlighted as an advanced, pipeline-focused option (HousingWire roundup of indispensable AI tools for real estate agents); for heavy-duty lead generation and 24/7 qualification at scale, CINC regularly tops lists for its AI lead scoring and automated messaging (useful for teams farming UVU-area zip codes) (The Close guide to the best real estate AI tools including CINC); agents focused on pricing and market analytics should consider HouseCanary for AI valuations, while listing teams that need fast visual polish can rely on Virtual Staging AI for photo-ready staging without the overhead.

Lightweight assistants like Lindy or Sidekick fit solo agents who need instant lead response and routine task automation (Lindy guide to using AI for real estate lead generation).

The practical rule for Orem: match the tool to the immediate bottleneck - lead intake, valuation, staging, or follow-up - and start small so the first win (a staged photo or a hot lead routed correctly) becomes the memorable proof that AI is working for local buyers and sellers.

“The most successful brokers know their market. AI is a tool to augment, not replace, real estate expertise.”

For Orem property managers and multifamily owners, the shift toward Autonomous Property Management is already practical and local: Entrata's Lehi‑built operating system bundles centralized leasing workflows, resident management, facilities and purchasing into a single dashboard so onsite teams stop juggling apps and start solving resident problems faster (Entrata multifamily property management solutions).

New Homebody RXP and ELI+ Leasing AI add post‑tour nurture and 24/7 personalized follow‑ups - customers report a 38% lift in applications started - while invoice OCR, one‑click vendor payments, and AI invoice entry trim errors and admin time, freeing teams to focus on retention and service.

The platform even plugs lifestyle services and move‑in credits into the resident app through partnerships, so a renter in Orem can book a cleaner or redeem points toward rent or travel without leaving the Homebody experience (Entrata press release on Homebody RXP and Leasing AI); that single‑login convenience is the kind of memorable improvement residents notice the first time a maintenance request arrives with an ETA and follow‑up already scheduled.

“At Entrata, we are focused on creating smarter, more connected experiences that simplify daily life for residents, strengthen community engagement, and streamline operations for property teams.” - Catherine Wong, Chief Operating Officer, Entrata

Orem real estate teams adopting AI need to plan around a fast‑moving legal landscape: Utah retooled its Utah Artificial Intelligence Policy Act in 2025 to tighten disclosure rules, extend the law's sunset, and add specific limits for high‑risk uses such as mental‑health chatbots and unauthorized impersonations - so any leasing or tenant‑support bot that feels “human” must now clearly identify itself and meet new guardrails before a Utah consumer relies on its advice (Utah Artificial Intelligence Policy Act 2025 amendments - Verified Credentials).

The bills also create a safe harbor for vendors that disclose GenAI upfront, define when interactions count as “high‑risk,” and attach enforcement teeth - administrative fines up to $2,500 per violation and civil penalties that can reach $5,000 - so brokerages and prop‑tech vendors should document disclosures, training data provenance, and oversight processes (New Utah AI laws: disclosure and identity protections - Perkins Coie).

At the same time, state trends show other jurisdictions banning certain uses - like algorithmic rental‑price setting - making it prudent for Orem landlords to avoid opaque pricing algorithms or reliance on competitors' sensitive data (2025 state AI legislation trends - NCSL).

The practical takeaway: bake clear, auditable disclosures and privacy safeguards into any AI pilot (imagine a leasing chatbot that announces below before collecting health or financial details)

I am an AI assistant

because compliance and trust are now as important as accuracy in Utah's market.

Getting started with AI in an Orem real estate practice means being practical: assess data and tool readiness first, then pick one high‑impact pilot (think automated lead follow‑ups, virtual staging, or a listing generator) that solves a clear bottleneck and delivers an early measurable win; Biz4Group's step‑by‑step guide lays out that very path - readiness → use‑case → tool selection → integration → pilot - so teams don't bite off more than they can integrate (Biz4Group: How to Implement Generative AI in Real Estate).

Make people the priority - train a small group in prompts, data hygiene, and oversight so AI augments local expertise rather than replacing it (EisnerAmper's people‑process‑technology approach is a useful checklist) (EisnerAmper: AI Implementation in Real Estate).

Tie the pilot to a measurable KPI (time saved, lead‑to‑sale lift, or response time) and use a local example - like personalized property recommendations that factor UVU commute time - to prove value to clients and compliance officers before scaling (Personalized property recommendations near UVU); the memorable payoff is simple: a client notices the difference the moment a tour already feels tailored to their commute and family life.

“Real estate cannot be lost or stolen, nor can it be carried away. Purchased with common sense, paid for in full, and managed with reasonable care, it is about the safest investment in the world.”

The industry outlook for 2025 and beyond mixes clear momentum with prudent caution: global and U.S. investment remains huge - Stanford's 2025 AI Index notes U.S. private AI investment reached $109.1 billion in 2024 and generative AI pulled in $33.9 billion - and that scale plus dramatic infrastructure cost declines (inference costs fell over 280× between 2022 and 2024) make sophisticated tools increasingly affordable for local brokerages and property managers in Orem, from faster AVMs to richer virtual walkthroughs (Stanford HAI 2025 AI Index Report).

Dealmaking and M&A show buyers piling into capability (agentic AI is a high‑growth frontier, with projections for a multi‑billion dollar market), so expect more turnkey, enterprise features to trickle down to regional players but also more vendor consolidation (Ropes & Gray H1 2025 Global AI Market Report).

On the demand side, consumer adoption is widespread (roughly 61% of U.S. adults used AI recently), and labor markets reward AI skills - PwC finds a roughly 56% wage premium for AI‑skilled workers - so Orem teams that pair local market expertise with targeted AI fluency are best positioned to capture productivity gains and retain human-led client trust (PwC 2025 Global AI Jobs Barometer).

The takeaway for Orem: prepare for accessible, practical AI tools to reshape workflows while watching capital cycles and vendor risk so local firms can capture the upside without getting swept into speculative froth.

“Are we in a phase where investors as a whole are overexcited about AI? My opinion is yes. Is AI the most important thing to happen in a very long time? My opinion is also yes.” - Sam Altman, reported by CNBC

Next steps for Orem real estate pros: treat 2025 as a year to combine compliance, small pilots, and practical upskilling - start by reviewing the Utah Division of Real Estate's 2025 rule updates and legislative changes (House Bills 99, 337, and 419) so brokerages and property managers tighten disclosures and roster practices before launching any AI tool (Utah Division of Real Estate 2025 Q1 newsletter); pick one high‑impact pilot (automated lead follow‑ups, virtual staging, or personalized UVU‑commute recommendations) and document data sources and consent flows to meet new state guardrails.

Invest in workforce readiness - practical courses like the Nucamp AI Essentials for Work bootcamp syllabus teach prompt skills and oversight frameworks that make small pilots repeatable - and tie every pilot to a clear KPI (response time, lead‑to‑sale lift, time saved).

Keep an eye on local market signals (inventory, days on market, and price trends) reported in Utah housing summaries so pricing and staging pilots align with a balanced 2025 market (Utah housing market overview and metrics); finally, document oversight, maintain auditable disclosures, and scale only after a measurable win so clients notice the difference - the moment a tour already feels tailored to commute and family needs is when AI stopped being a gamble and started earning trust.

“The most successful brokers know their market. AI is a tool to augment, not replace, real estate expertise.”

Start small, document everything, and scale when performance and compliance align.