WTRE
New Economy Real Estate Fund

Published May 2, 2025
Global Head of Research
We've all seen the shift: same-day delivery, groceries on-demand the promise of 10-minute convenience. But the real transformation is happening behind the scenes, where robots are moving bins, AI is optimizing delivery routes and warehouses are being reimagined from the floor up. Logistics is no longer a low-margin, dusty backend function. In 2025, it is the economic infrastructure that is quietly accelerating productivity across industries.
Just as the 19th century had railroads and the 20th century had highways, the 21st century will be remembered for something less visible: high-tech logistics.
The headline stories in 2025 often feature humanoid robots, but the real productivity breakthroughs are coming from a different class of machines: robotic fulfillment systems.
These systems, like those deployed by Symbotic and Ocado, consist of fleets of autonomous bots operating in tightly orchestrated environments. Symbotic's SymBots, for example, use eight cameras per unit to achieve millimeter-precise positioning inside warehouse aisles, working lights-out, 24/71, and effectively removing the need for forklifts. The result? A throughput revolution that doesn't just shave hours off fulfillment time—it rewrites the economics of supply chains.
Meanwhile, Google DeepMind's Gemini Robotics models are pushing boundaries further. These vision-language-action (VLA) systems are now capable of understanding instructions, planning actions and executing them with dexterity. They enable zero-shot and few-shot generalization in warehouse tasks—a level of adaptability that had previously been out of reach.2
In short: it's not just the machines, it's the intelligence embedded in the system.
Modern logistics facilities are no longer steel boxes. They're software-defined buildings with embedded intelligence. Power supply, network infrastructure and internal spatial configuration are now tailored to automation-first operations.
You can see it in the floorplans: taller clear heights (36–55 feet), extra-wide bays for robotics maneuverability, mezzanine levels for automated storage and retrieval systems (ASRS), and robust power lines for fleets of autonomous equipment.
Real estate investment trusts (REITs) like Prologis and Link Logistics are not just landlords—they're building what amounts to a new class of smart infrastructure. Prologis, through Prologis Ventures, has been quite active investing in companies that could be instrumental to the future of digital logistics. It has invested directly into robotics startups, offers plug-and-play automation integration for tenants, and even backs autonomous truck and yard equipment companies.3 This isn't passive capital; it's mission-critical capital underwriting a new supply chain layer.
And here's the kicker: these buildings are no longer just physical assets—they're automation platforms.
When Amazon spends $98.5 billion on fulfillment in a single year,4 it's not just a cost—it's an investment in time. Time saved. Time promised. Time delivered.
This past year, Amazon's logistics machine moved with the precision of a high-frequency trader and the scale of a global sovereign. It added $48.5 billion in property and equipment, with North America alone absorbing $24.3 billion of that to further entrench a logistics network already unrivaled in scale. At year-end, Amazon operated over 680 million square feet of fulfillment, data center and logistics-related infrastructure5—an empire measured in square miles. To give this some perspective, an NFL stadium tends toward 2 million square feet, so this would be equal to 340 NFL stadiums.
But here's the twist: even as they grew, they got cheaper.
Fulfillment costs rose 9% year-over-year—reaching $98.5 billion—yet this accounted for just 15.4% of net sales, down from 15.8% the year prior. That's a rare feat in global logistics, where scale usually leads to higher complexity, not greater efficiency.6
The engine behind this is automation. Amazon's robotics systems—Sparrow, Proteus, Sequoia—are not just press-release fodder; they're directly influencing outcomes. Combined with predictive inventory placement and delivery service provider (DSP) optimization, Amazon is cutting unnecessary miles, minimizing split shipments and quietly redefining unit economics.
And then there's the $95.8 billion spent on shipping. It's a staggering figure, but here's where it gets strategic. In 2023, Amazon broke out from the parcel pack. In 2024, it sprinted ahead. Shipping costs grew only 7%—less than the 11% growth in net sales—a signal that Amazon's cost per package is falling, even as delivery speed increases.7
Walmart U.S. operates 164 distribution centers, strategically positioned like nerve clusters in a giant, responsive organism. They don't just move boxes — they orchestrate flow. General merchandise and dry grocery are run through Walmart's private truck fleet, while perishables move via contracted carriers, balancing control and flexibility.
Add to this 29 dedicated e-commerce fulfillment centers, and you begin to see the outline of a company that can deliver almost anything from almost anywhere. But the real magic is when these centers work in tandem with the 4,600+ U.S. stores—most of which are now fulfillment hubs themselves, capable of same-day delivery and curbside pickup.8
What we're looking at is not just a retailer. It's a decentralized, intelligent logistics network built to meet demand not just where it is, but where it's going.
Historically, logistics was about muscle—trucks, warehouses, forklifts. Today, it's just as much about code and coordination.
In FY2025, Walmart invested $23.8 billion in capital expenditures, with over $14.6 billion dedicated to supply chain, customer-facing tech and automation. This is where things start to echo Amazon—and where Walmart may be forging a competitive model that goes beyond it.9
This automation isn't just about cost-cutting. It's about creating time—for associates, for customers and for the business. Robots don't need breaks. AI doesn't get tired forecasting demand. And software doesn't forget to optimize a route.
Automation is no longer a bet. It's an efficiency-creating asset—and Walmart is scaling it.
From an investor's standpoint, high-tech logistics sits at the intersection of three powerful themes: automation, real estate and AI.
The robotics angle includes Symbotic, AutoStore and potential plays on Gemini-class vision-language-action (VLA) model deployment. The real estate side includes industrial REITs (Prologis, Rexford, Link) whose assets are being structurally re-rated from commodity boxes to automation-ready nodes.
Crucially, these thematics are converging: the REITs are encouraging the tech, funding it, even developing their own solutions. And in a world where infrastructure returns are often low-yield and slow-cycle, logistics real estate tied to automation is offering equity-like upside with cash-flow visibility.
The story of high-tech logistics isn't just one of robots or real estate. It's a story of economic acceleration. When we compress the time it takes to move goods from point A to point B, we also compress time-to-revenue, time-to-supply, time-to-response.
In an age when attention is often drawn to flashy interfaces and consumer applications, the warehouse quietly becomes the most important node in the economy. And those who understand this early will be best positioned to invest not in hype, but in infrastructure.
Because the next great growth engine isn't just in the cloud. It's in the warehouse, humming at 3 a.m., lights off, robots working.
The WisdomTree New Economy Real Estate Fund (WTRE) is built to track the total return performance, before fees and expenses, of the WisdomTree New Economy Real Estate Index. As of March 31, 2025, this strategy generated more than 30% of its exposure to the modern logistics types of companies—the companies enabling the fulfilment magic that we have discussed in this piece.10
1 Source: Rob Pegoraro, "How Symbotic Is Speeding Up Warehouse Robots, Even in the Dark," Fast Company, 3/19/24.
2 Source: "Gemini Robotics: Bringing AI into the Physical World," Google DeepMind, 2025.
3 Source: https://www.prologis.com/about/prologis-ventures
4 Source: Amazon's most recent 10-K filing, from 2/7/25, for the period ended 12/31/24.
5 Source: Amazon's most recent 10-K filing, from 2/7/25, for the period ended 12/31/24.
6 Source: Amazon's most recent 10-K filing, from 2/7/25, for the period ended 12/31/24.
7 Source: Amazon's most recent 10-K filing, from 2/7/25, for the period ended 12/31/24
8 Source: Walmart's most recent 10-K filing, from 3/14/25, for the period ended 12/31/24.
9 Source: Walmart's most recent 10-K filing, from 3/14/25, for the period ended 12/31/24.
10 Sources: WisdomTree, Bloomberg, data as of 3/31/25. You cannot invest directly in an index. Historical performance is not an indication of future performance, and any investments may go down in value.
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New Economy Real Estate Fund

Global Head of Research
Christopher Gannatti began at WisdomTree as a Research Analyst in December 2010, working directly with Jeremy Schwartz, CFA®, Director of Research. In January of 2014, he was promoted to Associate Director of Research where he was responsible to lead different groups of analysts and strategists within the broader Research team at WisdomTree. In February of 2018, Christopher was promoted to Head of Research, Europe, where he was based out of WisdomTree’s London office and was responsible for the full WisdomTree research effort within the European market, as well as supporting the UCITs platform globally. In November 2021, Christopher was promoted to Global Head of Research, now responsible for numerous communications on investment strategy globally, particularly in the thematic equity space. Christopher came to WisdomTree from Lord Abbett, where he worked for four and a half years as a Regional Consultant. He received his MBA in Quantitative Finance, Accounting, and Economics from NYU’s Stern School of Business in 2010, and he received his bachelor’s degree from Colgate University in Economics in 2006. Christopher is a holder of the Chartered Financial Analyst Designation.