Morgan Stanley has released a comprehensive research report on physical AI, the space sector, and SpaceX (SPCX.US), asserting that robotics and space industries are poised to reshape the global economic landscape, much like electricity transformed the modern economy. The firm has initiated coverage with an Overweight rating and a $300 price target for SpaceX, implying substantial upside from current trading levels. The bank argues that the market's current valuation only reflects the value of Starlink and core space operations, leaving the option value of enterprise AI and orbital computing largely unpriced into the stock. However, it also cautions that the sector carries multiple uncertainties, including technological iteration risks, geopolitical shifts, and potential commercialization shortfalls, urging investors to approach the long-term opportunity with a balanced perspective.
The bank asserts that robotics and the space industry are far more than just another wave of emerging technology. These two fields are deeply intertwined economically, carry significant military value, and could produce transformative societal impacts. To discuss economics without accounting for AI and space, Morgan Stanley contends, is akin to interpreting the modern economy while ignoring the role of electricity. While this industrial revolution may take decades to fully materialize, the firm believes investors can begin positioning today to prepare their portfolios for the next frontier era.
As AI is poised to transition from the digital realm into the physical world, the bank has distilled ten core principles for investors to consider. First, anything that can be automated will likely eventually become automated. Machines not equipped with AI will become relics of a bygone era, akin to steam-powered contraptions from the Victorian age. Every machine that holds substantial economic value and performs real production work should embody physical intelligence, capable of collecting data and reasoning via AI, operating as large-scale clusters of embodied intelligence.
Second, the United States and China will likely need to cooperate. Headlines will continue to be dominated by geopolitical turbulence, but the bank judges that Chinese products and supply chains will be difficult to completely exclude from the US market. In the coming years, we may well see Chinese-branded vehicles manufactured in American factories and US-assembled robots relying heavily on Chinese gears, motors, magnets, sensors, and batteries.
Third, China is the leader in physical AI. While the US holds an advantage in frontier AI models, the core battleground in the robotics sector is manufacturing. Various robots and sensing devices collect data, which is fed back to factories for rapid iteration cycles, creating what the bank describes as a "Darwinian evolution" for robots. Five years from now, China's lead in AI robotics could be even wider than it is today.
Fourth, physical AI has significant dual-use characteristics. There is substantial overlap between consumer and industrial AI robots and defense applications. The bank points to reports from its US aerospace and defense analysts, Kristine Liwag and Justin Long, on autonomous weapons systems, noting that their summer has been particularly busy.
Fifth, the US must rebuild its domestic manufacturing capabilities. To remain competitive in physical AI, the US needs a massive reconstruction of its onshore manufacturing base. This creates a paradox: China's ambitions in physical AI might become the strongest driver for a US manufacturing resurgence since World War II, potentially creating millions of domestic jobs in the process.
Sixth, the US critical minerals supply chain needs restructuring. The deployment of billions of robots and the launch of millions of tons of payload into space will multiply demand for critical minerals by several orders of magnitude, and the bank notes that ordinary investors will need to develop a deeper understanding of the periodic table in the future.
Seventh, a re-evaluation of skilled trades and vocational education systems is necessary. Society will need more electricians, plumbers, welders, construction workers, HVAC technicians, as well as astrophysicists, geologists, metallurgists, and manufacturing specialists. Rebuilding American manufacturing requires a large workforce with hands-on skills, and the bank believes the bottleneck posed by human capital education is severely underappreciated by the market.
Eighth, AI faces a public relations conundrum: when will the physical AI equivalent of the " $5-a-day" moment arrive? Anti-AI and anti-data-center movements frequently make headlines today. The early auto industry faced similar protests over environmental, safety, and employment concerns until Henry Ford introduced the $5-per-day wage in 1914, bringing millions of workers into high-paying jobs. The physical AI industry will need a similarly symbolic turning point to shift public sentiment.
Ninth, cross-industry collaboration will be key. During the Second Industrial Revolution, industry titans like Carnegie in steel, Ford in autos, Rockefeller in oil, Edison in electricity, and Firestone in tires worked together to build the critical infrastructure that still underpins the economy today. The next generation of embodied AI will likewise depend on complex industrial cooperation, driven by competition, mutual dependence, and profit opportunities.
Tenth, space plays a critical role in the intelligent economy. The market underestimates the value of large-scale space infrastructure in converting energy into intelligent computing power. Space offers free energy, naturally cold environments, and vast open areas without the NIMBY-style protest issues seen on Earth. If SpaceX successfully achieves Starship recovery, expected around the 15th test flight, the cost of access to orbit could drop by another order of magnitude.
The bank offers a structural framework on how to view SpaceX stock. Over the next 10-15 years, as the US works to catch up with geopolitical rivals and rebuild its research and commercial space capabilities, the bank projects the American space economy could create hundreds of thousands of high-paying technical jobs, while physical AI and robotics could generate millions more employment opportunities. Currently, fundamental momentum in space, satellite communications, and enterprise AI is strong, and combined with more optimistic signals from second-quarter earnings and the fact that the share lock-up expiration has not pressured the stock as was initially feared, investors should re-evaluate the company's investment case.
With shares trading at just under $150, the enterprise AI business alone carries a single-digit price-to-sales multiple, and the stock price largely ignores the potential option value of orbital AI. In sensitivity calculations, each additional 1 GW of contracted computing capacity, based on $50 per watt with an incremental margin of 70%, capitalized at 10x EBITDA, adds $27 per share, roughly 20% of the current price. The bank forecasts 4.9 GW of computing capacity by FY2027 year-end, while the company itself targets nearly 10 GW.
SpaceX is valued using a sum-of-the-parts methodology across space operations, communications, AI from the X and Grok business, and enterprise AI. The $300 price target is composed of $8 from space, $118 from communications, $8 from X and Grok, and $165 from enterprise AI. The forecast period extends to 2040, with a valuation date of June 30, 2027, and the bank applies a weighted average cost of capital of 11.1% and a cost of equity of 11.9%. A 50% valuation discount is applied to the enterprise AI segment due to execution risk. For long-term growth rates, the space business carries 4.0%, communications and connectivity 4.5%, X and Grok 3.0%, and enterprise AI 5.0%. The resulting EV/EBIT-to-growth ratio stands at 0.46.
Yet the opportunities come with pronounced risks. The upside thesis is reliant on the pace of Starship reusability, Starlink subscriber expansion, and the commercialization of enterprise AI; should rocket development slow, computing capital expenditures overshoot expectations, or project timelines extend, the company could face greater funding pressure, leading to equity dilution risk. Additionally, regulatory approval delays and shifts in geopolitical policy could disrupt business execution timelines. Physical AI and space-based computing are both long-cycle industries, with the realization of industry benefits likely to take decades, making near-term earnings delivery challenging. For investors, SpaceX represents a growth option geared toward the future; it cannot simply be evaluated using traditional tech valuation frameworks, and the potential losses from technological failure or below-expectation commercialization must be carefully weighed.