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You are at:Home»REAL ESTATE»Are MLS policies built for the ChatGPT era?
REAL ESTATE

Are MLS policies built for the ChatGPT era?

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Are MLS policies built for the ChatGPT era?

Zillow‘s integration with ChatGPT has ignited a debate over MLS compliance, with industry leaders examining the implications for data privacy and policy. While some view it as a technological advancement, others question its adherence to existing rules.

Longbridge highlights wholesale reverse tech at NRMLA meeting

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AI in title and escrow is a ‘force multiplier’ not a ‘job killer’

Qualia’s State of AI in Title and Escrow 2025 report revealed that 90% of title professionals use AI, with optimism rising 14% in two years. The global AI market is projected to reach $3.7 trillion by 2034, emphasizing its growing importance in the industry.

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Real releases embedded lending solution

The Real Brokerage introduced Real Wallet Capital, offering agents same-day access to working capital through its digital platform. This embedded lending technology, a first among residential brokerages, uses agent performance data for credit eligibility and loan amounts, integrating seamlessly with Real’s proprietary software. 

Zillow Rentals launches Listing Spotlight feature

Zillow Rentals launched Listing Spotlight, a feature to enhance exposure for single-family and small multifamily rentals. Available to AppFolio users, it allows property managers to control listing visibility and adapt to shifting leasing needs.

Payload integrates with eXp Realty platforms

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AI platform aims to tackle homebuilding bottlenecks

Swiftbuild.ai’s SwiftGov platform aims to revolutionize local government permitting by significantly reducing zoning review times and expediting housing development.

Plaid introduces LendScore for real-time credit risk assessment

Plaid‘s LendScore offers a new credit risk model using real-time cash flow data to provide lenders with a comprehensive view of borrowers’ financial situations. This approach aims to improve credit assessments and reduce lender losses by leveraging Plaid’s extensive network.



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