What Is Artemis II? The NASA Mission to Fly Astronauts Around the Moon
The lunar flyby would be the deepest humans have traveled in space in decades.
4 min
It’s go time for the highest-stakes mission at NASA in more than 50 years.
On April 1, the agency is set to launch four astronauts around the moon, the deepest human spaceflight since the final Apollo lunar landing in 1972.
The launch window for Artemis II , as the mission is called, opens at 6:24 p.m. ET.
National Aeronautics and Space Administration teams have been preparing the vehicles to depart from Florida’s Kennedy Space Center on the planned roughly 10-day trip. Crew members have trained for years for this moment.
Reid Wiseman, the NASA astronaut serving as mission commander, said he doesn’t fear taking the voyage. A widower, he does worry at times about what he is putting his daughters through.
“I could have a very comfortable life for them,” Wiseman said in an interview last September.
“But I’m also a human, and I see the spirit in their eyes that is burning in my soul too. And so we’ve just got to never stop going.”
Wiseman’s crewmates on Artemis II are NASA’s Victor Glover and Christina Koch, as well as Canadian Space Agency astronaut Jeremy Hansen.
What are the goals for Artemis II?
The biggest one: Safely fly the crew on vehicles that have never carried astronauts before.
The towering Space Launch System rocket has the job of lofting a vehicle called Orion into space and on its way to the moon.
Orion is designed to carry the crew around the moon and back. Myriad systems on the ship—life support, communications, navigation—will be tested with the astronauts on board.
SLS and Orion don’t have much flight experience. The vehicles last flew in 2022, when the agency completed its uncrewed Artemis I mission .
How is the mission expected to unfold?
Artemis II will begin when SLS takes off from a launchpad in Florida with Orion stacked on top of it.
The so-called upper stage of SLS will later separate from the main part of the rocket with Orion attached, and use its engine to set up the latter vehicle for a push to the moon.
After Orion separates from the upper stage, it will conduct what is called a translunar injection—the engine firing that commits Orion to soaring out to the moon. It will fly to the moon over the course of a few days and travel around its far side.
Orion will face a tough return home after speeding through space. As it hits Earth’s atmosphere, Orion will be flying at 25,000 miles an hour and face temperatures of 5,000 degrees as it slows down. The capsule is designed to land under parachutes in the Pacific Ocean, not far from San Diego.
Is it possible Artemis II will be delayed?
Yes.
For safety reasons, the agency won’t launch if certain tough weather conditions roll through the Cape Canaveral, Fla., area. Delays caused by technical problems are possible, too. NASA has other dates identified for the mission if it doesn’t begin April 1.
Who are the astronauts flying on Artemis II?
The crew will be led by Wiseman, a retired Navy pilot who completed military deployments before joining NASA’s astronaut corps. He traveled to the International Space Station in 2014.
Two other astronauts will represent NASA during the mission: Glover, an experienced Navy pilot, and Koch, who began her career as an electrical engineer for the agency and once spent a year at a research station in the South Pole. Both have traveled to the space station before.
Hansen is a military pilot who joined Canada’s astronaut corps in 2009. He will be making his first trip to space.
Koch’s participation in Artemis II will mark the first time a woman has flown beyond orbits near Earth. Glover and Hansen will be the first African-American and non-American astronauts, respectively, to do the same.
What will the astronauts do during the flight?
The astronauts will evaluate how Orion flies, practice emergency procedures and capture images of the far side of the moon for scientific and exploration purposes (they may become the first humans to see parts of the far side of the lunar surface). Health-tracking projects of the astronauts are designed to inform future missions.
Those efforts will play out in Orion’s crew module, which has about two minivans worth of living area.
On board, the astronauts will spend about 30 minutes a day exercising, using a device that allows them to do dead lifts, rowing and more. Sleep will come in eight-hour stretches in hammocks.
There is a custom-made warmer for meals, with beef brisket and veggie quiche on the menu.
Each astronaut is permitted two flavored beverages a day, including coffee. The crew will hold one hourlong shared meal each day.
The Universal Waste Management System—that’s the toilet—uses air flow to pull fluid and solid waste away into containers.
What happens after Artemis II?
Assuming it goes well, NASA will march on to Artemis III, scheduled for next year. During that operation, NASA plans to launch Orion with crew members on board and have the ship practice docking with lunar-lander vehicles that Elon Musk’s SpaceX and Jeff Bezos’ Blue Origin have been developing. The rendezvous operations will occur relatively close to Earth.
NASA hopes that its contractors and the agency itself are ready to attempt one or more lunar landing missions in 2028. Many current and former spaceflight officials are skeptical that timeline is feasible.
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Technology and semiconductor shares fell sharply as investors questioned the debt financing the AI infrastructure boom and confronted higher rates and Chinese competition.
Technology and semiconductor shares fell sharply as investors questioned the debt financing the AI infrastructure boom and confronted higher rates and Chinese competition.
4 minA sharp technology sell-off has exposed a new anxiety on global markets: whether the enormous borrowing behind the artificial-intelligence infrastructure boom can generate sufficient returns as interest rates rise and Chinese competition intensifies.
The artificial-intelligence investment boom has powered technology shares, semiconductor manufacturers and data-centre operators to extraordinary heights. Last week, investors were given a reminder that much of this expansion is being built with borrowed money.
The technology-heavy Nasdaq Composite fell 4.5 per cent over the week ended October 16, its weakest performance since late June. Semiconductor shares suffered an even deeper correction, with the Philadelphia Semiconductor Index losing about 11.4 per cent.
The selling spread quickly through global markets. Micron Technology fell 14.6 per cent over the week, while South Korea’s Samsung Electronics and SK Hynix dropped approximately 18 per cent and 24 per cent respectively.
This was more than a routine bout of profit-taking. Investors were reassessing three interconnected risks: higher interest rates, the rapidly expanding debt burden attached to AI infrastructure and the prospect of stronger competition from Chinese memory-chip manufacturers.
The debt behind the AI build-out
Artificial intelligence requires a physical infrastructure network of enormous scale. Data centres must be built, advanced processors purchased, power supplies secured and cooling systems installed before customers begin generating meaningful revenue from them.
Technology companies are increasingly supplementing their own cash with corporate bonds, syndicated loans, equipment leases, private credit and project-level financing.
JPMorgan describes the emerging funding model as a combination of conventional corporate borrowing and project finance tied to individual data-centre assets. In Australia, the Reserve Bank estimates that syndicated loans accounted for approximately three-quarters of data-centre financing during 2025 and 2026 to date.
The numbers are becoming large enough to affect broader credit markets. The Federal Reserve Bank of Dallas has cited Wall Street estimates suggesting AI-related investment-grade bond issuance could approach US$300 billion in 2026 alone.
That borrowing is not automatically problematic. Debt can be an efficient way to finance long-lived infrastructure when future revenue is sufficiently predictable. The concern is that AI technology, customer demand and computing economics are changing much faster than the repayment schedules attached to the assets.
A data centre financed today may carry debt for years. Investors must therefore make assumptions about future utilisation rates, electricity prices, chip performance, customer concentration and the amount businesses will ultimately pay for AI computing.
When interest rates rise, those assumptions become less forgiving.
Inflation changes the calculation
September’s US inflation data intensified the pressure. Consumer prices increased 3.7 per cent over the year, ahead of market expectations and up from 3.4 per cent in August.
The hotter reading reduced confidence that interest rates would fall quickly and pushed bond yields higher. That matters particularly for companies whose valuations depend on profits expected well into the future, as well as highly leveraged infrastructure operators that may need to refinance.
CoreWeave has emerged as a closely watched test case. The specialist cloud-computing company has accumulated substantial debt and lease obligations to build AI capacity, while relying on a concentrated group of large technology customers.
Its shares fell sharply during the sell-off, while the cost of insuring its debt against default climbed. CoreWeave has argued that its contracted backlog more than covers its obligations and that financial markets do not always understand its business model. Nevertheless, its securities have become a proxy for investor confidence in debt-funded AI infrastructure.
Oracle, another major investor in AI computing capacity, fell 8.8 per cent in Friday trading, while CoreWeave dropped 15.5 per cent.
The question is shifting from how much AI infrastructure can be built to how profitably it can be operated.
China adds another source of pressure
Interest rates were not the only catalyst. Reports of advances by Chinese memory-chip producer ChangXin Memory Technologies raised concerns that lower-cost Chinese products could increase competition across the global semiconductor industry.
Memory chips are essential to AI systems, but the industry is historically cyclical. Periods of tight supply and high pricing can encourage rapid investment, eventually producing oversupply and falling margins.
The prospect of a well-funded Chinese competitor expanding its technological capabilities unsettled investors in Samsung, SK Hynix and Micron. It also demonstrated that AI-related demand does not insulate chipmakers from conventional competitive pressures.
That combination—slower rate cuts, more expensive financing and potentially cheaper supply—challenged the assumption that every company exposed to AI would enjoy continually expanding margins.
A reset rather than the end of the boom
The sell-off does not establish that the AI boom is ending. Demand for computing power remains strong, the largest technology companies continue to generate formidable cash flows and many infrastructure projects are backed by long-term customer contracts.
What has changed is the market’s willingness to overlook the price and financing structure of that growth.
The most resilient companies are likely to be those able to fund investment from operating cash flow, secure long-duration customers and demonstrate that new capacity will earn returns comfortably above its financing costs.
More speculative operators may face greater scrutiny, particularly where debt is expensive, customers are concentrated or expected revenue depends on demand that has not yet materialised.
For Australian investors, the lesson extends beyond US technology shares. Local data-centre operators, infrastructure funds, electricity suppliers and property groups are increasingly exposed to the same investment cycle.
Artificial intelligence may remain one of the defining growth themes of the decade. But last week’s correction showed that enthusiasm for the technology does not eliminate financial discipline.
The next stage of the AI boom will be judged not only by computing power, model performance or demand for chips, but by something more traditional: whether the assets being financed can generate enough cash to repay the money borrowed to build them.
Fact box
Nasdaq Composite: Down 4.5 per cent for the week ended October 16, 2026
Philadelphia Semiconductor Index: Down approximately 11.4 per cent
Micron Technology: Down approximately 14.6 per cent
Samsung Electronics: Down approximately 18 per cent
SK Hynix: Down approximately 24 per cent
US September inflation: 3.7 per cent annually
Estimated 2026 AI-related investment-grade issuance: Approximately US$300 billion
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