THE NEW ALIGNMENT: INDUSTRIAL REAL ESTATE IN 2026

A Three-Part Series introducing Mr. Warehouse.

PART 1: Global Logic, Local Intelligence, and the AI Edge

In my early days in the industrial real estate business, information was physical. Listings were delivered in three-hole-punched books, an inch thick, and we were “farm brokers” tethered to small, tightly drawn sub-markets in Los Angeles. If you stepped out of your boundary, you had to bring in a partner who worked that different turf. It was an era of high friction, but it birthed the deep local specialization and clients that stayed with me for decades.

Today, we are in a New Alignment. Two massive shifts are happening simultaneously: a geopolitical fracturing where U.S. bloc industries are “friend-shoring” away from traditional offshore centers, and a technological revolution where AI is partnering with humans to lead us to new directions. A major underpinning of the business, the agency relationship, will diminish as a transaction mindset takes hold. We are facing a reconfiguration of the industrial real estate business.

AI: The Lens for a Fractured World

The New Alignment allows us to have a global view that was previously impossible for a local broker. By mapping industrial infrastructure and supply chains within and across borders, we can see the “fracture” in real-time. Through our domestic and international network of SIOR brokers, we aren’t only looking at filling vacancies; we are examining how a specific property fits into a resilient global network. AI allows us to move beyond the “farm” mentality and into a high-level global network.

The Paradox: Better Global Tools, Better Local Intelligence

A side effect of this shift is that global tools and perspectives make us more aware of the local level. Even as we monitor global trade and production, these same techniques provide a sharper, more granular understanding of our home market. At Mr. Warehouse, we update our location mapping and pricing graphs for the Greater Los Angeles area monthly and offer these analytics to our partners in other markets. It’s a vast improvement from the days of weekly listing books.

AI opens new industrial real markets to explore. And by using what we learned locally, we can partner with our global colleagues to achieve what we couldn’t do alone.

PART 2: Industrial Infrastructure for the New Alignment

In the “farm broker” days, our data was fixed in a physical book. Today, our data lives with tools that capture intelligence. In the New Alignment, we don’t look only for real estate – although through that is the primary means we are compensated; we look for meaning in infrastructure, supply chain, humanity and how that fits into a model of production and distribution. We measure a central principle in the real estate business – location, location, location – and its impact on finance, operations, and the intangible.

Mr. Warehouse adopts three layers of data. These tools allow us to map out the market with precision, helping occupiers and investors find the “nodes” that will thrive in a fractured economy.

Layer 1: The Infrastructure Map (Drupal & Parcel Data)

We use the Drupal Geofield module as a simple way to store and map industrial infrastructure location data. The map visualizes location and geographical relationships. By feeding high-resolution parcel-level, ownership and location into the map, we create a transaction platform not only around availabilities, but proximities.

Layer 2: The Logic of Localization (Streamlit & Analytics)

Once we create the physical map, we apply a layer of logic using Streamlit, an analysis software that uses a property database to calculate physical and value relationships for the purpose of making transactions. We turn raw data into meaning. For instance, our Los Angeles industrial data will show the closest and most optimum properties to move. For an occupier, this layer shows if a given site will optimize their supply chain or if they need to replicate their business, or a part of it, in a more efficient manner or hub.

Layer 3: The Organic Network (The Social Layer)

The most powerful data structure we have isn’t digital—it’s human. After 45 years in the business, with most of those years as an SIOR and attending over 65 conferences, our network of relationships is a living social map domestically and internationally. We use modern social networks and our Global SIOR partners to enhance our technology. It’s a privilege for me to work with the best in the business. This layer turns “data points” into “handshakes.”

PART 3: Proven Strategies, Intelligent Tools

In the industrial real estate business, the fundamentals haven’t changed in nearly half a century. Location is primary. Occupiers will always want to improve their business. Investors want a reasonable financial reward for taking on real estate risk. What is changing is how humans use machines and how artificial intelligence can serve, not as a tool, but a guide.

The Shift Toward Transactional Excellence

As we embrace the New Alignment, the nature of the relationship between broker and client is evolving. While State Real Estate Licensing Law emphasizes traditional agency relationships in their education and discipline, the reality for sophisticated corporations and institutional buyers is they want a transactional relationship. Clients want high-level intelligence, execution and data-informed results over traditional handholding. We always operate within agency law and focus on transactional success with the speed and precision.

The Human Partner in a Digital World

We are utilizing a sophisticated web-and-data stack to achieve these results:

• AI for Industrial Infrastructure and Supply Chain: We use AI to see the global “fracture” as it happens, predicting where the next major industrial nodes will grow.
• Parcel Mapping for Relationships: We use deep parcel data to build and maintain personal connections with owners and stakeholders.
• Global SIOR Collaboration: We collaborate on a personal and regular basis with SIOR colleagues located across the U.S. and the globe.

Conclusion: Understanding the New Alignment.

We use technology to understand location and network relationships under the New Alignment. While global in scope, the local becomes more informed. AI and Fragmentation will lead many of our client to succeed and we want to support them using new technologies and fundamental real estate principles. The New Alignment is a period of opportunity.

In North Santa Monica, where I reside, we are the lucky ones. Destruction from the fires is just over the ridge. We can walk down the staircase on Adelaide, pass Canyon Elementary, climb back up Rustic Canyon, and be in the center of the burn area in a 15-minute hike. It’s smoky, many residents have left the streets to quiet. Face masks are common and the color of the sky is a tinge of orange. Threats of more wind are in the offing. Today, large convoys of police cars and fire trucks, 15 or 20 in a group, are traveling up the 405 with flashing lights to pre-position.

When we evacuated on the first night, we came to the New Gardena Hotel. It’s Japanese-owned and managed with high standards and a good breakfast. It’s in the center of the Gardena restaurant row with noodles, seafood, Japanese, Korean, and Vietnamese delicacies across the street at Pacific Square and Tozai Plaza. I saw a customer at the hotel who did the same as us, to be near his business. His house was destroyed.

Today is President’s Trump inauguration day in Washington D.C. It will bring a new era of governing. The administrative state will be top of the agenda. If you’ve dealt with local planning agencies and the mounds of restrictions from Green Zone Ordinances, buffer zones, AB 98, Environmental Justice, and other anti-industrial building measures, you can see how far astray local leaders have gone by neglecting basic municipal services. The other initiatives I’ll be watching will be AI, Crypto, and Super Intelligence. These are new agencies headed by talented and experienced executives with histories of founding tech companies. And limited Regulation!

AI is the transforming technology of a generation. Already, AI chat applications provide learning, automation, and useful outputs that merit continual dialog with your AI pal. At our office, we are preparing for the AI future by cleaning our data (parcel records, salesforce, available, and specialty niches) so it can be read by machines.  We geolocate each property and create a unique link to build and show relationships. We focus on local properties, especially those that are potential transactions. We follow certain industries and share techniques with colleagues in different markets.

Crypto is a step to the future. An increase in the value of coins and an embrace of crypto by key finance legislators will bring wider acceptance and knowledge. We experimented by building a blockchain on Hyperledger, but we didn’t have enough transactions to justify the instance cost. Now, we are using IPFS, a public decentralized blockchain where cost is low. In Los Angeles, because many properties trade off-market, in quiet transactions, or under new Buyer regulations, there is a blockchain use case to order and provide certainty. Blockchain is helpful when Sellers want to be discrete. You need not trade crypto coins or speculate to use blockchains. Please look for further explanation of how we use IPFS with customary brokerage procedures

In Los Angeles, industrial real estate has gone from frothy to flat. Rents are in decline, sale prices are down, and to the consternation of many sellers, investors have a “large margin of safety” when they make an offer. There is a wide variety of buildings available, especially for warehouse and distribution. One segment of shortage is modern, free-standing, and secure industrial buildings that can meet government clearance. Power and parking are needed for tech-industrial. Multi-tenant units, too, are in short supply.

We create analytics and compare buildings based on attributes and location. Clients can understand the real estate markets by scrolling over and seeing the metadata for each property.  We create graphs for tenants, owners, and investors. Originally coded for Streamlit, we migrated to a SQL database and then to Postgres so we could capture location data. We’ll be able to solve some nagging problems with this next revision. Organizing market data in this, or other ways, is a necessary step for adopting new standards.

Our staff has grown to eight people split between sales and administration. We have a 45-year history in South Bay industrial real estate and an office in Gardena for most of that time. We live on deals. Please contact us if we can help with your next industrial deal. In Los Angeles, or anywhere in the U.S.