Entries by Spencer Burton

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Episode 4 of Multipliers: AI Crossed the Threshold

AI is not replacing expertise. It is revealing who has it. The professionals who have spent years building real judgment, real methodology, and real domain knowledge are discovering something unexpected: AI does not compete with them. It amplifies them. The ones who have been going through the motions are discovering something else entirely. In this […]

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The Multiplier Framework Workshop #3: AI Skills

On a recent live follow-up workshop, we took the Multiplier Framework out of “high level theory” and applied it to one of the most important (and most overlooked) concepts in AI productivity: skills. Every CRE professional has methodology they have developed over years of real deals, and right now most of that knowledge lives only […]

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How I Built a Real Estate DCF Web App with AI in Five Minutes (Updated March 2026)

Over the past year, we’ve been experimenting heavily with (and successfully using) AI coding tools to push the boundaries of what’s possible in commercial real estate. We’ve used v0 to quickly scope frontend designs, and we’ve spun up various web apps using tools like Replit, Bolt.new, Lovable, and Cursor to support everything from content creation […]

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Episode 2 of Multipliers – Cuby: Building More With Less (Plus Sourcing Construction Materials)

The housing problem is not a mystery. It is a math problem. Not enough homes. Not enough skilled labor to build them. Not enough affordable construction materials to make deals pencil. And yet, very few people are attacking the root of the problem. In this episode of the Multipliers podcast, we’re joined by Aleks Gampel, […]

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Student Housing Acquisition Model (Updated Feb 2026)

I’ve spent a fair amount of my career analyzing privately-owned student housing investments. Nevertheless, I’ve yet to share a purpose-built, institutional-quality student housing acquisition model. So, I thought I’d take some time and build a model for this very purpose. To do this, I took my Value-Add Apartment Acquisition model, which has been used by […]

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Introducing Multipliers: An A.CRE Podcast + Episode 1: Mario Kart Speed Boosts

Some people compound. Others stall. Same hours. Same markets. Same access to information. Very different outcomes. For years, I’ve been quietly fascinated by that gap. At A.CRE, we’ve spent more than a decade helping people build technical skills that help them grow their career in CRE. To that end, over the years, we’ve built the […]

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AI Tools for Commercial Real Estate (Winter 2026 Edition)

If you haven’t noticed, we’ve been exploring use cases, training, and tools related to AI in commercial real estate a lot lately! The reason is that Artificial intelligence (AI) is poised to revolutionize the commercial real estate industry by transforming the way acquisitions, development, management, advisory, and marketing teams in the industry operate. AI tools […]

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The Multiplier Framework Workshop #2: Double Underwriting Speed with AI

On a recent live follow-up workshop, we took the Multiplier Framework out of “high level theory” and applied it to the most requested target in commercial real estate: Underwriting, the number one task CRE professionals said they want to automate. The goal was simple. Show exactly how AI overlaps cleanly with your existing underwriting workflow, […]

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Real Estate Financial Modeling Accelerator (Updated January 2026)

Before launching the Accelerator program, Michael and I received countless emails requesting a more structured, step-by-step real estate financial modeling training program. Over the years, we’ve covered hundreds of real estate modeling topics in our blog, published hours of video, and shared 70+ real estate Excel models in our Library. Nonetheless, no matter how many posts […]

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Double Your Output with AI in 2026 Workshop: The Multiplier Framework for CRE (Updated Jan 2026)

On January 15, over 700 commercial real estate professionals joined me live (nearly 1,400 registered) to learn a simple idea: Any CRE professional, regardless of technical skill or AI knowledge, can multiply their output. Not by working longer hours. Not by hiring a bigger team. But by taking a disciplined, systematic approach to the work […]