Drones are rapidly evolving from flying cameras into something much more consequential: mobile data infrastructure.
A recent Bloomberg report offered an unusually clear example.
In May 2024, weather forecasters in Oklahoma were uncertain whether a developing storm could become dangerous because they lacked detailed information from the lowest portion of the atmosphere. A professor from Oklahoma State University launched a drone approximately 1,600 feet into the night sky and collected moisture and wind measurements. The additional information helped the National Weather Service upgrade its warning before an EF3 tornado later struck Rogers County.
The episode illustrates a much larger technological shift.
Drones are increasingly being used not simply to observe the world, but to collect data that other systems cannot easily reach, process that information and feed it into increasingly sophisticated decision-making networks.
For publicly traded KULR Technology Group (NYSE American: KULR), the significance lies one layer below the sensors and artificial intelligence.
Every one of those airborne computers needs power.
And as drone missions become longer, more autonomous and more demanding, the battery increasingly becomes part of the mission architecture rather than just another component.
A Blind Spot Between the Ground and the Satellites
The Bloomberg report focuses on the atmospheric boundary layer, the relatively thin region closest to Earth’s surface where fog, low clouds, winds and storms develop.
Despite its importance, that region remains surprisingly difficult to observe continuously.
Ground-based weather stations only measure conditions at the surface. Weather balloons pass through the boundary layer relatively quickly. Commercial aircraft tend to collect weather information at higher cruising altitudes. Satellites provide broad coverage but cannot always capture the granular atmospheric conditions occurring close to the ground.
Drones offer another approach.
Instead of passing quickly through the atmosphere, a drone can repeatedly travel vertically through the boundary layer, recording wind, humidity, temperature and pressure at multiple altitudes.
Bloomberg’s graphic on page three illustrates the gap particularly well: satellites operate far overhead, aircraft and weather balloons pass through the lower atmosphere, while drones can repeatedly sample a vertical column extending upward from near the surface.
Swiss weather company Meteomatics is attempting to automate that process using its Meteodrones, which can repeatedly fly atmospheric profiles and feed their observations directly into forecasting models.
That is where the story begins to move beyond weather.
Better Data for AI Means More Drones in the Air
Artificial intelligence has accelerated interest in higher-quality atmospheric measurements because an AI forecasting model is ultimately constrained by the information used to train and update it.
Bloomberg notes that while the latest AI weather models can extract more from historical observations, large-scale observation systems still struggle to measure small atmospheric events inside the boundary layer. Researchers interviewed for the article described drones as particularly useful because they can directly monitor wind, temperature, humidity and pressure.
That has potential implications across several industries.
For electric utilities and energy traders, better forecasts can improve estimates for wind and solar generation.
For aviation, higher-resolution information can identify icing, winds and low visibility.
For emergency responders, better atmospheric measurements can improve severe-weather warnings.
And for militaries, knowing what is happening in the lower atmosphere can affect whether an unmanned aircraft can safely fly at all.
In other words, the drone becomes a physical extension of the AI model.
It gathers the information.
The AI interprets it.
Another machine or human acts on the result.
This is the type of architecture increasingly described as physical AI — intelligence operating through machines that sense and interact with the physical world.
It is also the market KULR is trying to power.
Where KULR Fits
KULR’s primary drone platform, KULR ONE Air, is designed for unmanned aircraft, heavy-lift drones and advanced air-mobility systems.
The platform ranges from compact drone configurations through higher-voltage systems, with KULR providing battery-pack architecture, battery management, thermal-safety engineering, testing and custom design capabilities. The company positions KULR ONE Air specifically for higher-reliability UAV programs rather than consumer drones.
KULR describes drones and other autonomous platforms as essentially battery-powered flying computers: sensors, communications, compute and propulsion all compete for energy inside a vehicle where every additional gram matters.
That description becomes particularly relevant when considering Bloomberg’s weather-drone example.
A persistent weather-observation network would not involve a drone flying once.
The entire value proposition depends on repeated flights.
A vehicle launches, climbs through the atmosphere, collects measurements, lands, recharges and repeats the process.
Bloomberg describes Meteomatics’ system operating in much the same way. Its drones launch automatically from climate-controlled ground stations, return after their mission, are re-centered on the launch platform and connect for charging before the station closes again.
That creates a demanding energy problem.
Battery systems must balance flight time, payload, discharge power, charging, cycle life and safety while minimizing weight.
KULR is building its drone platform around many of those same engineering variables.
The Military Angle May Be Even More Important
Bloomberg’s article also makes clear that this is not simply a commercial weather story.
The Norwegian military is conducting the largest field test cited in the report as NATO countries examine how drones and other systems operate in Arctic conditions.
During one military exercise, a snowstorm arrived faster and more intensely than forecast, reducing visibility near the launch site of surveillance drones almost to zero. Weather information generated from boundary-layer drone measurements helped military operators relocate to an area with better conditions and safely recover their aircraft.
For KULR investors, that intersection is significant because defense drones have become one of the company’s most important emerging markets.
KULR announced in April that it had received initial defense-drone battery orders from a customer representing what the company characterized as an opportunity exceeding $5 million for 2026.
In June, KULR separately announced a prototype battery development and fabrication agreement with a U.S.-based military drone manufacturer covering batteries for both UAVs and handheld controllers. Under that program, KULR is responsible for system design, battery architecture, prototype fabrication, functional and safety testing, certification support and production-readiness work.
Those programs do not mean KULR is supplying the weather drones described by Bloomberg.
There is no disclosed relationship between KULR and Meteomatics, and KULR has not announced a dedicated weather-observation drone program.
But they demonstrate that the company is already working on the underlying battery problem facing increasingly sophisticated U.S. military unmanned systems.
Extreme Environments Raise the Bar
Weather drones also provide a useful demonstration of where the broader UAV industry is headed.
Meteomatics’ aircraft are reportedly designed to fly in winds of up to 90 kilometers per hour and at temperatures down to minus 45 degrees Celsius, with integrated de-icing capabilities.
Those are extreme operating requirements.
KULR has not disclosed that KULR ONE Air is qualified for those particular environmental limits, and investors should not assume that it is.
The broader takeaway is different.
As drones migrate from controlled commercial environments into defense, infrastructure, emergency-response and autonomous applications, the demands placed on their energy systems increase.
A battery that works for a short recreational flight is fundamentally different from one expected to support a high-value aircraft carrying sensors and compute through repeated mission cycles.
KULR is targeting the latter market.
Its current KULR ONE Air architecture spans drone and heavy-lift configurations and draws on the company’s broader thermal-management and battery-safety engineering capabilities.
The company is also exploring higher-energy-density chemistries.
In May, KULR announced work integrating Factorial Energy cells into next-generation KULR ONE Air batteries aimed at drones, robotics, defense and autonomous systems.
If those technologies translate into higher usable energy without unacceptable increases in weight or safety risk, that can directly affect what a drone can accomplish before returning to charge.
Agriculture Shows the Same Pattern
Weather and defense are not the only applications where this equation matters.
KULR has also partnered with Texas-based Hylio around domestically manufactured battery systems for U.S.-built agricultural drones.
Agricultural UAVs represent another version of the same underlying trend.
These aircraft are not toys.
They carry payloads, follow programmed flight paths, collect information or apply materials, return for charging or battery replacement and then fly again.
Productivity is ultimately tied to how much useful work the drone can perform between those stops.
As more sectors adopt autonomous aircraft, the battery increasingly determines practical economics: payload versus range, power versus weight, charging time versus utilization.
That makes energy technology a potential picks-and-shovels investment theme beneath the larger drone market.
The Emerging Autonomous Weather Network
Perhaps the most interesting part of Bloomberg’s report appears near the end.
Despite regulatory challenges, Meteomatics argues that improvements in battery life, cost and navigation are bringing fully automated weather observation closer to practical deployment.
That is an important statement because automation changes the economics of the entire industry.
If a trained operator must accompany every flight, the number of drones that can economically be deployed is limited.
But consider a network of autonomous ground stations.
A drone launches automatically.
It takes atmospheric measurements.
It returns.
It recharges.
Another mission begins.
Multiply that process across hundreds or thousands of locations, and weather observation starts to resemble distributed physical infrastructure.
The batteries are no longer merely powering individual aircraft.
They are enabling an automated data network.
That is potentially where companies developing battery systems for physical AI become more strategically relevant.
More Intelligence Requires More Energy
There is a broader investment thesis underneath all of this.
Autonomous machines are becoming increasingly capable.
The amount of compute onboard those machines is increasing.
Sensors are becoming more sophisticated.
Communications requirements are increasing.
Payloads are getting more demanding.
Artificial intelligence makes the machine smarter, but none of those capabilities operate without energy.
KULR’s thesis is that power becomes a constraint as physical AI scales.
The company’s KULR ONE platform integrates battery architecture, thermal management, safety engineering, battery-management systems and power electronics across drones, defense, robotics, space and other mission-critical markets.
For drones specifically, KULR says its new high-volume manufacturing capability is designed to support as much as 150 MWh of annual drone-battery production capacity.
Capacity alone, however, does not create revenue.
Customers have to qualify the batteries, programs must reach production and KULR must execute economically.
That distinction matters for retail investors.
Investors Still Need to Watch the Numbers
KULR remains an emerging company rather than an established large-scale battery manufacturer.
Its most recent quarter illustrates both the opportunity and the execution risk.
For the second quarter of 2026, KULR reported revenue of approximately $2.08 million, down 43% from the year-earlier period. Gross margin was negative 31%, operating loss was approximately $11.2 million and the company ended June with $12.8 million in cash.
Management has argued that the underlying energy-platform business is better viewed over a longer period. On the company’s second-quarter call, it said first-half energy-management platform revenue was approximately $4.76 million compared with $4.73 million in the comparable prior-year period, while describing U.S. drone procurement as being in an early stage of converting into orders.
That creates a straightforward question for investors:
Can the expanding pipeline of drone and defense programs turn into repeatable production revenue?
The weather-drone opportunity highlighted by Bloomberg does not answer that question.
But it does provide another example of why advanced drone batteries may be more important than they appear.
The Picks-and-Shovels Opportunity
Drone investing often focuses on aircraft manufacturers.
But the industry developing around those aircraft increasingly resembles a technology stack.
There are sensors.
AI processors.
Navigation systems.
Communications equipment.
Software.
Ground infrastructure.
And underneath all of them is energy.
As drones become persistent machines operating rather than occasional aircraft flying, the battery’s role changes.
A weather drone gathering atmospheric data for AI forecasting models is one example.
A surveillance aircraft operating in difficult military conditions is another.
Agricultural drones, inspection platforms, logistics systems and autonomous robots each add variations of the same requirement.
KULR does not need to manufacture the winning drone platform to participate in that growth.
Its opportunity is to become one of the companies supplying the power layer beneath the machines.
Bloomberg’s report makes one thing increasingly clear: drones are moving into missions where the data they collect can affect tornado warnings, military decisions and multimillion-dollar energy-market positions.
As the value of those missions rises, so does the value of keeping the aircraft safely and reliably in the air.
For KULR, that may ultimately be the more important drone story.
The drone may collect the intelligence. The battery determines how long it can keep collecting it.
