Why many real estate AI rollouts fail — and how to make them stick
Maneiro runs roughly 600 AI training sessions a year through his own program called AI-Cademy
The article highlights the challenges of implementing AI in real estate, an industry that has seen significant investment in AI technology but struggles with successful rollouts. Many companies are eager to leverage AI to improve efficiency, accuracy, and customer experience, but the complexity of integrating AI into existing systems and workflows often leads to failed implementations. This is particularly concerning for ASID members who are looking to stay competitive in a rapidly evolving market.
The fact that Maneiro runs 600 AI training sessions a year through his AI-Cademy program suggests that there is a growing need for education and upskilling in AI adoption. Real estate professionals require not only access to AI technology but also the knowledge and skills to effectively utilize it. This emphasizes the importance of investing in training and development programs that can help bridge the gap between AI potential and practical application. As the industry continues to navigate the AI landscape, it will be crucial for companies to prioritize employee education and change management.
As we watch this space, it's essential to monitor how AI-Cademy and similar programs impact the success of AI implementations in real estate. Will these training initiatives lead to more effective rollouts and better ROI on AI investments? Additionally, we should keep an eye on how AI adoption affects the skills gap in the industry and whether it leads to new job opportunities or displacement. The future of AI in real estate will depend on finding a balance between technological innovation and human expertise.
Originally reported by housingwire.com. ASIDNews adds analysis for real estate & property readers.