Morgan Stanley Heavyweight Robotics Yearbook (IV): AI Will Be the Key to Unlocking Drone Autonomy

Morgan Stanley states that as AI technology deeply penetrates the industry, drones are experiencing a key turning point, evolving from simple flying tools into intelligent agents. On December 19, according to Hard AI, Morgan Stanley's latest report, "Robotics Yearbook Volume IV," focuses deeply on drones and the low-altitude economy, asserting that AI algorithms will be the core driving force unlocking the potential for drone autonomy. The rising low-altitude economy will fundamentally reshape the ways humans utilize space, ushering in a new era of three-dimensional spatial economies. The bank's global embodied AI team pointed out in the report that the deep empowerment of AI algorithms enables drones to undergo a qualitative change from "tool" to "intelligent agent." The direct result of this trend is the increasingly prominent features of drones being "smaller, cheaper, and consumable." Morgan Stanley predicts that, driven by the continuous iteration of AI technology, increased policy support, and the expansion of application scenarios, the global drone fleet will grow from 130 million in 2030 to 2 billion in 2050. As the scenarios for drone applications expand, the bank specifically points out that the low-altitude economy will evolve from "single-point applications" to "ecosystem collaboration," constructing an aerial transport network for short-distance and intercity rapid transportation. The previously nearly idle three-dimensional space will become a new point of economic growth. AI-powered cost reduction and efficiency: a leap from tool to agent The deep empowerment of AI algorithms enables drones to undergo a qualitative change from "tool" to "intelligent agent." The bank believes that the explosion of the drone industry is not the result of a single technological breakthrough, but a dual result of technological iteration and AI enablement. Early drones relied on manual remote control; both the Queen Bee target drone from 1941 and the QH-50 anti-submarine drone from 1967 required expert operation, with highly limited application scenarios. In the early 2010s, the emergence of camera drones allowed entry into the consumer market from professional equipment, yet they had not shed the "tool attribute." The real turning point came in the 2020s. AI-powered FPV (first-person view) drones marked the entry of the industry into a new era of intelligence, achieving "conditional autonomy"—with semi-autonomous flight and beyond visual line of sight operations, able to carry various payloads to complete complex tasks, steadily moving towards fully autonomous flight. Morgan Stanley claims that AI’s unlocking effect for drones is reflected in key technological areas. In navigation, AI algorithms have overcome traditional GPS dependency, combining visual recognition with inertial navigation to achieve precise positioning, allowing drones to operate normally even in GPS-limited environments. In target tracking, machine learning enables drones to lock onto moving targets in real time and adapt to complex operational environments. This directly changes the product’s cost structure: For a 6-10 inch FPV drone, the camera module ("eyes"), flight control system ("brain"), and brushless motor ("power") form the core components. The low cost of these standard components, together with the spread of open-source software (like ArduPilot), has significantly reduced the cost of acquiring high-performance drones—turning them from expensive military equipment into mass consumer electronics. Morgan Stanley states that AI has lowered the technical threshold from professional equipment worth $30 million and requiring 5 operators to a $500 device controllable by a single person. Global drone market will see explosive growth Drones' "dual attributes" allow them to flourish in consumer, commercial, and defense scenarios, becoming the core driver of industry growth. Morgan Stanley especially highlights the enormous economic value shown in commercial applications, making them the cornerstone of the low-altitude economy. Specifically: Agriculture has already achieved large-scale adoption. 500 million hectares of farmland worldwide are serviced by drones, with one-third of China’s farmland operated by drones, reducing chemical use by 30%. DJI's globally operating agricultural drones now number 400,000, significantly improving efficiency in spraying, crop monitoring, and livestock management. Logistics and delivery show explosive growth potential. Since 2016, Zipline has completed over 1.5 million deliveries; in 2024, China’s drone deliveries will reach 2.7 million parcels. Amazon, Walmart, JD.com, SF Express, and others are building aerial logistics networks targeting parcels under 5 pounds—a segment accounting for 86% of Amazon’s deliveries. Public services also see significant value. 1,700 police departments in the US now use drones, with applications in search and rescue (90.8%), crime scene photography (84.7%), disaster response (83.7%), among other scenarios. Energy inspection, mineral exploration, and construction surveying applications also significantly enhance operational efficiency and reduce safety risks. In these contexts, drones provide value by freeing people from dangerous, repetitive aerial tasks, and with AI-enabled data collection and analysis, they offer more precise decision support. In consumer scenarios, Morgan Stanley points out that FPV drone racing, aerial photography, and outdoor adventure recording are increasingly popular. With continued AI algorithm optimization, consumer-grade drones’ obstacle avoidance and battery performance improve, and their lightweight, user-friendly nature allows ordinary consumers to easily enjoy aerial perspectives, steadily expanding market scale. Morgan Stanley predicts that, driven by continued AI innovation, enhanced policy support, and the expansion of application scenarios, the global drone market will see explosive growth: from 130 million units in 2030, to 900 million in 2040, and over 2 billion units by 2050. Low-altitude economy and eVTOL: the leap from 2D to 3D Morgan Stanley states that globally, the low-altitude economy will shift from "single-point applications" to "ecosystem collaboration." Drones will complement eVTOL (electric vertical takeoff and landing aircraft) and hypersonic vehicles, constructing aerial transport networks—including "intracity short-range, intercity rapid, and international hypersonic" transportation. Morgan Stanley believes the ultimate solution to ground traffic congestion is to use the "empty sky." Currently, there are only about 14,000 aircraft worldwide in the air, while the ground is highly congested. The largest current bottleneck is not the aircraft themselves, but outdated Air Traffic Control (ATC) systems. The FAA notes that 76% of ATC systems may be unsustainable. Only by introducing AI for automated airspace management can the additional millions of flights be accommodated. According to the report, the annual income potential of one eVTOL (electric vertical takeoff and landing aircraft) is about $1,460,000, whereas a traditional ride-hailing car earns only about $109,500 per year. This means one eVTOL's income generation is equivalent to 10–15 Ubers. Morgan Stanley’s model projects that, by 2030, the global fleet of large VTOL aircraft will reach about 36,000; by 2040, 2.5 million; by 2050, 17 million. Technologically, increasing battery energy density will be a key breakthrough. Mainstream drones currently use lithium polymer batteries, with energy density around 140–200 Wh/kg, but technologies like hydrogen fuel cells could potentially reach 2,500–2,700 Wh/kg. With energy density improving by 20% every two years ("Moore’s Law"), drones’ endurance will dramatically rise, further expanding application scenarios. Morgan Stanley notes that, with ongoing policy relaxation, low-altitude resources will be better utilized, previously near-idle 3D spaces becoming new growth points, reshaping urban planning, logistics networks, and travel methods. From a broader perspective, the rise of drones and aerial mobility is essentially an AI-driven revolution in humanity’s use of spatial dimensions. Just as automobiles reshaped the value of land space, drones and the low-altitude economy will unlock the sky’s potential, building a “ground + air” dual spatial utilization pattern, injecting new momentum into global economic growth. This article comes from [WeChat public account "Hard AI"](https://mp.weixin.qq.com/s/2rfpVmedXuAVybneRhpkIg). For more cutting-edge AI news, please [visit here](https://mp.weixin.qq.com/s/2rfpVmedXuAVybneRhpkIg) Risk Warning and Disclaimer The market has risks, investment needs caution. This article does not constitute personal investment advice, nor does it take into account individual users’ specific investment objectives, financial situations, or needs. Users should consider whether any opinions, views, or conclusions herein are suitable for their circumstances. Investing accordingly is at your own risk.