Independently, generative artificial intelligence and low-code software are two highly sought-after technologies. But experts say that together, the two harmonize in a way that accelerates innovation beyond the status quo.
Low-code development allows people to build applications with minimal need for hard code, instead using visual tools and other models to develop. While the intersection of low-code and AI feels natural, it’s crucial to consider nuances like data integrity and security to ensure a meaningful integration.
Microsoft’s Low-Code Signals 2023 report says 87% of chief innovation officers and IT professionals believe “increased AI and automation embedded into low-code platforms would help them better use the full set of capabilities.”
According to Dinesh Varadharajan, CPO at low-code/no-code work platform Kissflow, the convergence of AI and low-code enables systems to manage the work rather than humans having to work for the systems.
Additionally, rather than the AI revolution replacing low-code, Varadharajan said, “One doesn’t replace the other, but the power of two is going to bring a lot of possibilities.”
Varadharajan notes that as AI and low-code technology come together, the development gap closes. Low-code software increases the accessibility of development across organizations (often to so-called citizen developers) while generative AI increases organizational efficiency and congruence.
Faster innovation
According to Jim Rose, CEO of an automation platform for software delivery teams called CircleCI, these large language models that serve as the foundation of generative AI platforms will ultimately be able to change the language of low-code. Rather than building an app or website through a visual design format, Rose said, “What you’ll be able to do is query the models themselves and say, for example, ‘I need an easy-to-manage e-commerce shop to sell vintage shoes.'”
Rose agrees that the technology has not quite reached this point, in part because “you have to know how to talk” to generative AI to get what you’re looking for. Kissflow’s Varadharajan says he can see AI taking over task management within a year, and perhaps intersecting with low-code in a more meaningful way not long after.
Governance and innovation go hand in hand
Like anything involving AI, there are plenty of nuances that business leaders must take into account for successful implementation and iteration of AI-powered low-code.
Don Schuerman, CTO of enterprise software company Pega prioritizes what he calls “a responsible and ethical AI framework.”
This includes the need for transparency. In other words, can you explain how and why AI is making a particular decision? Without that clarity, he says, companies can end up with a system that fails to serve end users in a fair and responsible way.
This melds with the need for bias testing, he added. “There are latent biases embedded in our society, which means there are latent biases embedded in our data,” he said. “That means AI will pick up those biases unless we are explicitly testing and protecting against them.”
Schuerman is a proponent of “keeping the human in the loop,” not only for checking errors and making changes, but also to consider what machine learning algorithms have not yet mastered: customer empathy. By prioritizing customer empathy, organizations can maintain systems and recommend products and services actually relevant to the end user.
For Varadharajan, the biggest challenge he foresees with the convergence of AI and low-code is change management. Enterprise users, in particular, are used to working in a certain way, he says, which could make them the last segment to adopt the AI-powered low-code shift.
Whatever risks a company is dealing with, maintaining the governance layer is what will help leaders keep up with AI as it evolves. “Even now, we are still grappling with the possibilities of what generative AI can do,” Varadharajan said. “As humans, we will also evolve. We will figure out ways to manage the risk.”
A new jumping-off point
While many generative AI platforms stem from open-source models, CircleCI’s Rose says there’s a successor of a different kind to come. “The next wave is closed-loop models that are trained against proprietary data,” he said.
Proprietary data and closed-loop models will still have to reckon with the need for transparency, of course. Yet the ability for organizations to keep data secure in this small-model style could quickly shift the capacities of generative AI across industries.
Generative AI and low-code software puts innovation on a freeway, as long as organizations don’t compromise on the responsibility factor, experts said. In the modern era, innovation speed is a must-have to be competitive. Just look at Bard, the Adobe-Google offering that is set to compete with OpenAI’s ChatGPT in the generative AI space.
According to Scheurman, with AI and low-code, “I’m starting out further down the field than I did before.” By shortening the path between an idea to experimentation and ultimately to a live product, he said AI-powered low-code accelerates the speed of innovation.
“There’s more money than ever going to what we call the ‘neoprimes'” Jameson Darby, co-founder and director of autonomy at investment syndicate MilVet Angels, or MVA, told CNBC. “It’s still a fraction of the overall budget, but the trend is all positive.”
Other examples of defense tech startups challenging the incumbents include SpaceX and Palantir Technologies, said Darby, who is also a founding member of the U.S. Department of Defense’s Defense Innovation Unit.
Unlike the primes, these startups are faster, leaner and software-first — with many of them building things that can help close “critical technology gaps that are really important to national security,” said Ernestine Fu Mak, co-founder of MVA and founder of Brave Capital, a venture capital firm.
Venture funding for U.S.-based defense tech startups totaled about $38 billion through the first half of 2025, and could exceed its 2021 peak if the pace remains constant for the rest of the year, according to JPMorgan.
‘The battlefield is changing’
As the global war landscape changed over the past decades, the U.S. Department of Defense has identified several technologies that are critical to national security, including hypersonics, energy resilience, space technology, integrated sensing and cyber.
“In a post-9/11 world, the entire Department of Defense effectively focused on … the global war on terrorism. It was our military versus insurgents, guerrillas, asymmetric warfare, relatively low-tech fighters in most cases,” said Darby.
But war today is more focused on “great power competition,” said Mak.
The battlefield is changing and new technologies are needed … warfare no longer being limited to land, sea, air. There’s also cyber and space domains that have become contested.
Ernestine Fu Mak
Co-founder, MilVet Angels
“The focus is more on deterring and competing with [adversaries] in these very high-tech, multi-domain conflicts,” Mak added. “The battlefield is changing and new technologies are needed… warfare no longer being limited to land, sea, air. There’s also cyber and space domains that have become contested.”
Today, some of these Silicon Valley “neoprimes” are developing not just weapons, but also dual-use technologies that can be applied both commercially and by militaries.
“So things like artificial intelligence and autonomy have broad, sweeping commercial applications, but they’re also clearly a force multiplier in a military context,” said Darby. “[The] Department of War is rapidly assessing and adopting these dual-use technologies … they’re sending signals to the investment world, to the defense industrial base, that the U.S. government needs these things.”
That direction from the government has, in turn, provided a clear and strategic roadmap for both investors and entrepreneurs, said Mak.
The ‘new guard’
On Sept. 17, MVA came out of stealth mode after quietly backing some leading defense tech startups since 2021.
Today, Mak says the syndicate’s roughly 250 members include tech founders, Wall Street financiers, company executives, intelligence officials, former military leaders and Navy SEALs. Together, they’ve invested in companies like Anduril Industries, Shield AI, Hermeus, Ursa Major and Aetherflux.
“Overall, we believe that ‘neoprimes’ cannot exist in the abstract. They require people — individuals who bring technical expertise, who carry a deep sense of mission, and who contribute complementary voices and talents. Together, this coalition forms what we are convening and calling the ‘new guard,'” said Mak.
She added that modern national security requires both the “warrior’s insight on the battlefield” and the “builder’s drive for innovation”.
“Working together with engaged, informed patriots whose participation strengthens our defense ecosystem and reinforces the very fabric of national security,” Mak said.
Mak and Darby both agree that as new technologies develop and make their way onto battlefields globally, it’s changing the way militaries fight, which can also pose new threats.
“You’re seeing these technologists, these builders … building defense tech, and the reason why they’re doing so, is not to initiate conflict, but rather to create a credible deterrent that discourages aggression,” said Mak.
“No one in defense tech is looking to wage war, rather, it’s looking to deter it and wanting adversaries to think twice before threatening peace and stability,” Mak added.
Two Amazon Prime Air MK30 drones collided with a crane on Oct. 2, 2025 in Tolleson, Arizona.
Courtesy: 12News
Amazon is facing federal probes after two of its Prime Air delivery drones collided with a crane in Arizona, prompting the company to temporarily pause drone service in the area.
The incident occurred on Wednesday around 1 p.m. EST in Tolleson, Arizona, a city west of Phoenix. Two MK30 drones crashed into the boom of a stationary construction crane that was in a commercial area just a few miles away from an Amazon warehouse.
One person was evaluated on the scene for possible smoke inhalation, said Sergeant Erik Mendez of the Tolleson Police Department.
“We’re aware of an incident involving two Prime Air drones in Tolleson, Arizona,” Amazon spokesperson Terrence Clark said in a statement. “We’re currently working with the relevant authorities to investigate.”
Both drones sustained “substantial” damage from the collision on Wednesday, which occurred when the aircraft were mid-route, according to preliminary FAA crash reports.
The Federal Aviation Administration and National Transportation Safety Board are investigating the incident. The NTSB didn’t immediately respond to a request for comment.
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The drones were believed to be flying northeast back-to-back when they collided with the crane that was being used for roof work on a distribution facility, Tolleson police said in a release. The drones landed in the backyard of a nearby building, according to the release.
The probes come just a few months after Amazon, in January, paused drone deliveries in Tolleson and College Station, Texas, temporarily following two crashes at its Pendleton, Oregon, test site. Those crashes also prompted investigations by the FAA and NTSB. The company resumed deliveries in March after it said it had resolved issues with the drone’s software, CNBC previously reported.
Amazon says its delivery drones are equipped with a sense-and-avoid system that enables them to “detect and stay away from obstacles in the air and on the ground.” The system also allows the aircraft to operate without visual observers over greater distances, the company said.
For over a decade, Amazon has been working to bring to life founder Jeff Bezos’ vision of drones whizzing toothpaste, books and batteries to customers’ doorsteps in 30 minutes or less. But progress has been slow, as Prime Air has only been made available in a handful of U.S. cities.
Amazon has set a goal to deliver 500 million packages by drone per year by the end of the decade.