The man running the defense side is Matt Maga\u00f1a, Voyager\u2019s president for space, defense, and national security. He grew up in Long Beach and spent close to two decades as a Raytheon executive before joining Voyager in 2024. He describes the old way of building mission electronics in plain terms: it takes years and years, and that is the bottleneck.<\/p>\n
The plant\u2019s pitch is that agentic AI can collapse that. Maga\u00f1a has described printing circuit boards within weeks and months rather than years, using AI to compress the journey from a design to a board headed for orbit. \u201cWe\u2019ve got to cut that down to have the speed of relevance,\u201d he told Aviation Week<\/a>.<\/p>\n Speed of relevance is a military phrase, and it is doing real work here. Voyager is building alongside other Space Beach companies, including Anduril Industries and True Anomaly, in a stretch of Southern California where firms have clustered to stay near the engineering talent and suppliers left over from the region\u2019s older aerospace era.<\/p>\n The robots-on-the-factory-floor story is decades old. What is new at Space Beach is the robot in the engineering office \u2014 the one drafting the design, not bolting the part.<\/p>\n Why there aren\u2019t enough people<\/p>\n The shortage is not anecdotal. Clay Mowry, chief executive of the American Institute of Aeronautics and Astronautics, told an audience at the ASCEND conference in Washington that some companies are trying to lift production \u201cby a factor of four,\u201d according to SpaceNews<\/a>. Firms in the missile-interceptor business, he said, have to scale fast, and there are not enough trained people to put in the jobs \u2014 so they are scrambling.<\/p>\n The demand is real and specific. The companies cannot bring in enough trained engineers, software developers, and specialized manufacturing staff to meet the contracts already signed, let alone the expansion the Pentagon now wants. They are all chasing the same small pool of workers fluent in autonomy, machine learning, and systems integration, and that pool is not growing fast enough to match the order books.<\/p>\n The workforce is also aging out. About one-third of aerospace and defense manufacturing and engineering roles are held by workers 55 or older, the AIAA\u2019s Aerospace America reported<\/a>, citing Deloitte and McKinsey analyses, and the sector\u2019s retirement and attrition rate runs nearly 10 percent above the national industry average. One McKinsey estimate put the cost of that talent drain at up to $330 million for a single mid-sized company.<\/p>\n So the experienced people are leaving faster than they can be replaced, the work is harder to learn than almost any other engineering discipline, and the orders keep climbing. The arithmetic does not close.<\/p>\n A shrinking pipeline<\/p>\n The squeeze sits inside a broader contraction of the technical labor supply. The federal workforce shrank by roughly 220,000 people through November 2025, about a 10 percent cut, according to data analyzed by The New York Times<\/a> from the Office of Personnel Management \u2014 the steepest reduction in decades. Many of those losses landed at civilian agencies that historically fed engineers into defense and aerospace through internships, fellowships, and research partnerships.<\/p>\n Money has been thrown at the gap. Congress added nearly $34 billion above the president\u2019s fiscal 2026 defense request for more than 1,000 research and procurement programs, Roll Call reported<\/a>, drawing on a database from Taxpayers for Common Sense<\/a>. The watchdog group has counted more than $134 billion in such program increases since fiscal 2022.<\/p>\n But an appropriation does not produce a qualified engineer, and it does not shorten a test cycle. That is the wall the industry keeps hitting, and it is why a Denver company is standing up a building in Long Beach to let software do the work that hiring cannot fill.<\/p>\n What agentic AI actually does in the engineering office<\/p>\n Agentic AI is not the rule-based automation aerospace plants have used for forty years. Traditional automation handles one narrow, repeating task: a robotic arm welding a seam, a machine running a tolerance check. The agentic version is built to work across the whole production cycle \u2014 design iteration, compliance paperwork, supply-chain coordination, production planning \u2014 treating them as one connected job rather than a chain of handoffs.<\/p>\n On the floor, that changes who the engineer is. A systems engineer who once shepherded a single program can now oversee several, with the agent drafting the documentation, running the early trade studies, and grinding through the routine compliance work that used to eat hours a day. The engineer becomes a reviewer and a decision-maker instead of a producer of paperwork.<\/p>\n The people selling it are careful to say the humans do not disappear. Maga\u00f1a has framed the goal as accelerating the cycle time, not removing the engineer from it. The agent is the junior staff that cannot be hired.<\/p>\n The space hardware itself is what makes this hard. A board bound for orbit has to survive launch loads, thermal swings of hundreds of degrees, and a radiation environment that corrupts ordinary electronics. Qualifying that hardware still routinely takes years \u2014 a timeline that turns into a problem when commercial operators want a satellite constellation fielded in months and defense customers want resilient systems in place before an adversary closes a gap.<\/p>\n This is where the agent is pointed. It can run thousands of simulation variations in parallel, assemble the qualification documentation, and flag design choices that historically surfaced only after an expensive physical test had already failed. The compression is not in the welding. It is in the thinking that used to happen one engineer at a time.<\/p>\n The accountability problem nobody has solved<\/p>\n The story the plant tells is coherent, and it is also unfinished. When a human engineer signs off on a missile-guidance design, there is a chain of accountability running back through years of training, licensure, and named responsibility. When an agent drafts the compliance package or proposes a design change, that chain gets harder to trace.<\/p>\n The qualification regimes that govern space and defense hardware were built around human reviewers checking human work. Adapting them to artifacts an AI generated \u2014 without losing the rigor that keeps an interceptor intercepting and a satellite operating \u2014 is a problem the sector has not solved. It is regulatory rather than technical, and it sits in the space between agentic AI accelerating a cycle and quietly defining it.<\/p>\n For now, the shortage is making the decision. The contracts are signed, the deadlines are fixed, and the engineers cannot be hired at the rate the order books demand, so the experiment is running whether or not the verification questions have answers.<\/p>\n Back in Long Beach, the boards keep coming off the line in weeks. The building is new, the talent it was meant to draw on is thinner than it has been in a generation, and the agent in the engineering office is doing the trade studies that a younger engineer, in another decade, would have done by hand. Whether those boards hold up the way years of human review once guaranteed will not be settled in a conference hall. It will be settled in orbit, and on the ranges, on the first programs fast enough to get there.<\/p>\n","protected":false},"excerpt":{"rendered":"Inside a 140,000-square-foot building in Long Beach that the local aerospace crowd calls Space Beach, circuit boards for…\n","protected":false},"author":2,"featured_media":361359,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[33],"tags":[131,133,132],"class_list":["post-361358","post","type-post","status-publish","format-standard","has-post-thumbnail","category-long-beach","tag-long-beach","tag-long-beach-headlines","tag-long-beach-news"],"_links":{"self":[{"href":"https:\/\/www.newsbeep.com\/us-ca\/wp-json\/wp\/v2\/posts\/361358","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.newsbeep.com\/us-ca\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.newsbeep.com\/us-ca\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/us-ca\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/us-ca\/wp-json\/wp\/v2\/comments?post=361358"}],"version-history":[{"count":0,"href":"https:\/\/www.newsbeep.com\/us-ca\/wp-json\/wp\/v2\/posts\/361358\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/us-ca\/wp-json\/wp\/v2\/media\/361359"}],"wp:attachment":[{"href":"https:\/\/www.newsbeep.com\/us-ca\/wp-json\/wp\/v2\/media?parent=361358"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.newsbeep.com\/us-ca\/wp-json\/wp\/v2\/categories?post=361358"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.newsbeep.com\/us-ca\/wp-json\/wp\/v2\/tags?post=361358"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}![\"aerospace](\"https:\/\/www.newsbeep.com\/us-ca\/wp-content\/uploads\/2026\/06\/aerospace-workforce-engineerin-1024x683.jpg\")
<\/p>\n