These wall-climbing, AI-powered robots are finding the flaws in ‘D’ grade US infrastructure, from commuter bridges to military hardware
The collapse of Baltimore’s Francis Scott Key Bridge earlier this year and an I-95 overpass in Philadelphia last June weren’t triggered by structural flaws — a runaway, powerless ocean ship and tanker fire were the culprits. But the disasters were the latest examples of an issue seen across the U.S.: trillions of dollars worth of critical — and vulnerable — bridges, roads, dams, factories, plants and machinery that are rapidly aging and in need of repair.
Significant sums of money are being spent to fix the issues, some coming from President Biden’s Infrastructure Act and other legislation, but the way infrastructure is maintained has largely not changed, mostly done slowly by humans or after a significant issue arises like a leak or collapse.
Gecko Robotics, which ranked No. 42 on the 2024 CNBC Disruptor 50 list, is taking on the nationwide challenge with AI and robots, specifically, its wall-climbing bots that perform inspections on infrastructure and not only identify existing issues but also to try to predict what can be done to avoid future problems.
“When you think about the built world, a lot of concrete, a lot of metal that is, especially in the U.S., 60 to 70 years old; we as a country have a D rating for infrastructure and getting that up to a B is a $4 trillion to $6 trillion problem,” Gecko Robotics CEO Jake Loosararian told CNBC’s Julia Boorstin. “A lot of that is understanding what to fix and then targeting those repairs, and then also ensuring that they don’t continue to make the same mistakes.”
Gecko Robotics’ technology is already being used to monitor “500,000 of the world’s most critical assets,” Loosararian said, which range from oil and gas facilities and pipelines to boilers and tanks at manufacturing facilities.
A focus on military hardware, from subs to aircraft carriers
Gecko robots are increasingly being utilized by the U.S. military. In 2022, the U.S. Air Force awarded Gecko Robotics a contract to help it with the conversion of missile silos. Last year, the U.S. Navy tapped the company to help modernize the manufacturing process of its Columbia-class nuclear submarine program, using Gecko’s robots to conduct inspections of welds.
Gecko Robotics is also working with the Navy to inspect aircraft carriers, which Loosararian demonstrated on CNBC via a demo on the USS Intrepid, a decommissioned aircraft carrier that now serves as a museum in New York City.
He compared the analysis that Gecko Robotics is doing on infrastructure to a CAT scan of a human body, while also creating a digital twin of the scanned object.
Those inspections historically are done by workers, collecting thousands of readings across an aircraft carrier. Gecko Robotics technology can collect upwards of 20 million data points in a tenth of the time, Loosararian said.
“There’s human error, and if you’re hanging off the side of a ship, it’s pretty dangerous too,” he said.
There are also issues related to the timeliness of military hardware construction and readiness of defense assets in an unpredictable world of global threats. For example, Loosararian said China is building ships 232 times faster than the U.S. is, a function of the sheer amount of shipbuilding capacity that China now has in comparison.
“A third of our naval vessels are in drydock right now, and you want them out of drydock or not even in a maintenance cycle,” Loosararian said. “What we’re doing with Lidar and ultrasonic sensors is a health scan, seeing what the damages are and how to fix them, because what we’re trying to do is get these ships from drydock out to the seas patrolling as fast as possible.”
The digital twins being created by Gecko robots also help with the building of future projects, saving not only time but resources and capital.
“It’s not just about how things work day-to-day but also how do you build smarter things,” Loosararian said.” If we can understand what fails in the real world, then we can figure out how to build smarter things in the future.”
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The X logo appears on a phone, and the xAI logo is displayed on a laptop in Krakow, Poland, on April 1, 2025. (Photo by Klaudia Radecka/NurPhoto via Getty Images)
Nurphoto | Nurphoto | Getty Images
Elon Musk‘s xAI Holdings is in discussions with investors to raise about $20 billion, Bloomberg News reported Friday, citing people familiar with the matter.
The funding would value the company at over $120 billion, according to the report.
Musk was looking to assign “proper value” to xAI, sources told CNBC’s David Faber earlier this month. The remarks were made during a call with xAI investors, sources familiar with the matter told Faber. The Tesla CEO at that time didn’t explicitly mention any upcoming funding round, but the sources suggested xAI was preparing for a substantial capital raise in the near future.
The funding amount could be more than $20 billion as the exact figure had not been decided, the Bloomberg report added.
Artificial intelligence startup xAI didn’t immediately respond to a CNBC request for comment outside of U.S. business hours.
The AI firm last month acquired X in an all-stock deal that valued xAI at $80 billion and the social media platform at $33 billion.
“xAI and X’s futures are intertwined. Today, we officially take the step to combine the data, models, compute, distribution and talent,” Musk said on X, announcing the deal. “This combination will unlock immense potential by blending xAI’s advanced AI capability and expertise with X’s massive reach.”
Read the full Bloomberg story here.
— CNBC’s Samantha Subin contributed to this report.
Alphabet CEO Sundar Pichai during the Google I/O developers conference in Mountain View, California, on May 10, 2023.
David Paul Morris | Bloomberg | Getty Images
Alphabet‘s stock gained 3% Friday after signaling strong growth in its search and advertising businesses amid a competitive artificial intelligence environment and uncertain macro backdrop.
“GOOGL‘s pace of GenAI product roll-out is accelerating with multiple encouraging signals,” wrote Morgan Stanley‘s Brian Nowak. “Macro uncertainty still exists but we remain [overweight] given GOOGL’s still strong relative position and improving pace of GenAI enabled product roll-out.”
The search giant posted earnings of $2.81 per share on $90.23 billion in revenues. That topped the $89.12 billion in sales and $2.01 in EPS expected by LSEG analysts. Revenues grew 12% year-over-year and ahead of the 10% anticipated by Wall Street.
Net income rose 46% to $34.54 billion, or $2.81 per share. That’s up from $23.66 billion, or $1.89 per share, in the year-ago period. Alphabet said the figure included $8 billion in unrealized gains on its nonmarketable equity securities connected to its investment in a private company.
Adjusted earnings, excluding that gain, were $2.27 per share, according to LSEG, and topped analyst expectations.
Alphabet shares have pulled back about 16% this year as it battles volatility spurred by mounting trade war fears and worries that President Donald Trump‘s tariffs could crush the global economy. That would make it more difficult for Alphabet to potentially acquire infrastructure for data centers powering AI models as it faces off against competitors such as OpenAI and Anthropic to develop largely language models.
During Thursday’s call with investors, Alphabet suggested that it’s too soon to tally the total impact of tariffs. However, Google’s business chief Philipp Schindler said that ending the de minimis trade exemption in May, which created a loophole benefitting many Chinese e-commerce retailers, could create a “slight headwind” for the company’s ads business, specifically in the Asia-Pacific region. The loophole allows shipments under $800 to come into the U.S. duty-free.
Despite this backdrop, Alphabet showed steady growth in its advertising and search business, reporting $66.89 billion in revenues for its advertising unit. That reflected 8.5% growth from the year-ago period. The company reported $8.93 billion in advertising revenue for its YouTube business, shy of an $8.97 billion estimate from StreetAccount.
Alphabet’s “Search and other” unit rose 9.8% to $50.7 billion, up from $46.16 billion last year. The company said that its AI Overviews tool used in its Google search results page has accumulated 1.5 billion monthly users from a billion in October.
Bank of America analyst Justin Post said that Wall Street is underestimating the upside potential and “monetization ramp” from this tool and cloud demand fueled by AI.
“The strong 1Q search performance, along with constructive comments on Gemini [large language model] performance and [AI Overviews] adoption could help alleviate some investor concerns on AI competition,” Post wrote in a note.
WATCH: Gemini delivering well for Google, says Check Capital’s Chris Ballard
CNBC’s Jennifer Elias contributed to this report.
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