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Companies racing to launch data centers into orbit might spark a real-life Star Wars, an energy arms race playing out above Earth, and maybe a real SpaceCompanies racing to launch data centers into orbit might spark a real-life Star Wars, an energy arms race playing out above Earth, and maybe a real Space

️Are we Ready for Star Wars?

By: Medium

2025/12/06 00:20

READY$0.015855-18.68%

STAR$0.10668+0.91%

Companies racing to launch data centers into orbit might spark a real-life Star Wars, an energy arms race playing out above Earth, and maybe a real Space War in the future to fight for dominance. Is space the answer for our energy-hungry AI future? Meanwhile, Google keeps shipping models at breakneck speed and now lets you build AI agents in minutes. Are they quietly becoming the AI winner? Let’s dive in and stay curious.

Are we Ready for Star Wars?
🧰 AI Tools — AI Agents you can Vibe Code
Google launches Workspace Studio for no-code AI agents
🛠️ AI Jobs Corner
📚 AI Learning Resource — AI Agent Building Courses.

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📰 AI News and Trends

Meta and other Silicon Valley tech giants were caught off guard by a new Chinese AI model from DeepSeek, which rivals their own advances and has sparked “panic” in the industry.
Anthropic CEO Says Some Tech Firms Are Too Risky With AI Spending
OpenAI to acquire Neptune, a company that builds monitoring and debugging tools for AI model training to compare thousands of runs and surface issues during training.
Wikipedia seeks more AI licensing deals similar to Google’s tie-up to monetize content

Other Tech News

Autolane is building air traffic control for AVs. It will start by coordinating pickup and drop-off points for companies that want to let robotaxis come onto their private property.
UK passes law officially recognizing crypto as a third kind of asset
Is brain rot real? Research on the long-term impacts of short-form video consumption is still lacking, but recent studies show concerning associations with cognition and mental health.

Google launches Workspace Studio for no-code AI agents

Google introduced Workspace Studio, a new way to build AI agents across Gmail, Docs, Drive, and Sheets, no coding required.

What it enables

AI-created automations: Describe a task, and Gemini builds the workflow.
Context-aware agents: Generate weekly updates, prioritize tasks, or triage emails using data from your documents and inbox.
Integrations: Connect with Asana, Jira, Salesforce, Mailchimp, or internal tools via webhooks and Apps Script.
Share + scale: Agents can be shared like Google Docs and customized across teams.
Templates: Daily email summaries, auto-labeling, pre-meeting briefs, and more.

Rollout

Rapid Release: Starts Dec 3, 2025
Scheduled Release: Admin settings Dec 3; end-user access Jan 5, 2026

Bottom line: Workspace Studio makes automation accessible to everyone, turning Google Workspace into a powerful AI workflow engine.

🛠️ AI Jobs Corner

Apply Today — Open Positions.

Machine Learning Researchers (PhD)
First-Line Supervisors of Productions and Operating Workers
Computer and Information Systems Managers
Database Administrators
Apply Data Scientists
Software Technical Writers

Are we Ready for Star Wars?

AI data centers already draw tens of gigawatts of power, global DC capacity is ~59 GW today, and AI demand is projected to grow power use by ~50% a year through 2030. Grids, water for cooling, and local opposition are becoming hard constraints.

Space flips the equation, allegedly:

In orbit, a solar panel can harvest up to ~8× more energy than on Earth, with 24/7 sunlight and no clouds.
You don’t need land, transmission lines, or water; you just need launch capacity and radiation-hardened hardware.

That’s the backdrop for Google’s Project Suncatcher, Musk’s comments about orbital AI, Altman’s Dyson-sphere musings, and now his exploration of a SpaceX-style launch company.

What’s happening

AI compute demand is exploding; a few companies are now pushing for data centers in orbit to take advantage of constant sunlight and avoid earth-based constraints (land, power, water, cooling).

Who’s doing it & how

Google “Project Suncatcher”: building solar-powered satellites with TPUs and laser links; prototypes launching ~2027; goal: dense orbital TPU clusters.
Starcloud / Crusoe Energy / NVIDIA: targeting a 5-GW orbital data center using H100 GPUs; claim 10–22× lower energy cost thanks to space solar + radiative cooling.
SpaceX: Leveraging Starship for orbital data-center launches, the aim is high-volume satellite builds to support space-based compute infrastructure.
Amazon Web Services / Blue Origin: Reportedly exploring orbital compute as a long-term hedge for energy and scale constraints.

Pros

24/7 sunlight leading to up to ~8× more generation vs Earth panels.
No need for land, water, power grid, or cooling infrastructure.
Lower long-term energy cost vs terrestrial DCs.
Scalable infra — good for massive AI compute growth without local footprint or regulatory friction.

Cons

This has a very high upfront cost and launch risk; hardware + launch of heavy satellite clusters is expensive.
Latency and bandwidth limitations. Orbit adds delay; best suited for training/batch workloads, not latency-sensitive services.
Reliability/maintenance challenges: radiation, thermal cycling, no physical access, risk of satellite failure or space debris.
Geo-political and Security risk orbit becomes critical infrastructure and a potential target. Are we ready for Star Wars?
Environmental and lifecycle footprint launches, satellite end-of-life, and emissions need careful handling to avoid just shifting the environmental burden.

Realistic Timeline

2025–2027: prototypes and small-scale launches may be launched by Google’s Suncatcher Starcloud/Crusoe.
2028–2032: initial MW–to–sub–GW–scale orbital compute becomes available, likely for specialized workloads.
Early 2030s+: if economics and reliability work out, orbital compute could contribute meaningful additional capacity (but remain complementary to terrestrial data centers).

Orbital data centers are not a quick fix, but a long-term hedging strategy against rising power, land, and water constraints for AI infrastructure. They make sense as high-value, high-compute wings specialized for workloads, research, or large-scale training, but they’re unlikely to replace Earth-based data centers wholesale for general-purpose workloads.

AI Learning Corner

AI Agent Building Courses.

Agentic AI and AI Agents: A Primer for Leaders by Coursera Short (~5 hr) intro course explaining what “agentic AI” is, good for non-tech leads or early decision-makers to understand when and how to use agents.
No‑Code AI and Machine Learning: Building Data Science Solutions by MIT Professional Education covers no-code and low-code AI workflows useful if you want to understand the landscape before diving into agent building.
Free AI Agent Course for Beginners by NoCodeStartup — Practical guide targeting non-coders; shows how to build agents using free tools, handles basic workflows and integrations.
AI Agents for Beginners by Microsoft GitHub repo — Step-by-step lessons on building agentic workflows, a good bridge between no-code tools and more technical implementations.

🧰 AI Tools of The Day

AI Agents you can build by Vibing

Glean Agent Builder — Creates agents with plain-language descriptions or templates, then wire up workflows via a drag-and-drop interface. You can connect to data sources and third-party APIs without coding.
MindStudio is A visual, no-code builder for AI agents; it ships with 100+ templates for common tasks (email triage, data processing, basic automation), integration via APIs or webhooks.
Lindy.ai — Marketed as a no-code AI automation platform good for non-technical users. Let’s you build custom “agents” using pre-built workflow blocks and integrate with many SaaS tools.
n8n — A workflow automation platform that recently added AI-agent support: you can build agents, add memory/context, hook them to APIs and data sources.

🛰️Are we Ready for Star Wars? was originally published in Coinmonks on Medium, where people are continuing the conversation by highlighting and responding to this story.

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        Highlights:  US prosecutors requested a 12-year prison sentence for Do Kwon after the Terra collapse. Terraform’s $40 billion downfall caused huge losses and sparked a long downturn in crypto markets.  Do Kwon will face sentencing on December 11 and must give up $19 million in earnings.   US prosecutors have asked a judge to give Do Kwon, Terraform Labs co-founder, a 12-year prison sentence for his role in the remarkable $40 billion collapse of the Terra and Luna tokens. The request also seeks to finalize taking away Kwon’s criminal earnings.  The court filing came in New York’s Southern District on Thursday. This is about four months after Kwon admitted guilt on two charges: wire fraud and conspiracy to defraud. Prosecutors said Kwon caused more losses than Samuel Bankman-Fried, Alexander Mashinsky, and Karl Sebastian Greenwood combined.  U.S. prosecutors have asked a New York federal judge to sentence Terraform Labs co-founder Do Kwon to 12 years in prison, calling his role in the 2022 TerraUSD collapse a “colossal” fraud that triggered broader crypto-market failures, including the downfall of FTX. Sentencing is… — Wu Blockchain (@WuBlockchain) December 5, 2025  Terraform Collapse Shakes Crypto Market Authorities explained that Terraform’s collapse affected the entire crypto market. They said it helped trigger what is now called the ‘Crypto Winter.’ The filing stressed that Kwon’s conduct harmed many investors and the broader crypto world. On Thursday, prosecutors said Kwon must give up just over $19 million. They added that they will not ask for any additional restitution. They said: “The cost and time associated with calculating each investor-victim’s loss, determining whether the victim has already been compensated through the pending bankruptcy, and then paying out a percentage of the victim’s losses, will delay payment and diminish the amount of money ultimately paid to victims.” Authorities will sentence Do Kwon on December 11. They charged him in March 2023 with multiple crimes, including securities fraud, market manipulation, money laundering, and wire fraud. All connections are tied to his role at Terraform. After Terra fell in 2022, authorities lost track of Kwon until they arrested him in Montenegro on unrelated charges and sent him to the U.S. Do Kwon’s Legal Case and Sentencing In April last year, a jury ruled that both Terraform and Kwon committed civil fraud. They found the company and its co-founder misled investors about how the business operated and its finances. Jay Clayton, U.S. Attorney for the Southern District of New York, submitted the sentencing request in November.  TERRA STATEMENT: “We are very disappointed with the verdict, which we do not believe is supported by the evidence. We continue to maintain that the SEC does not have the legal authority to bring this case at all, and we are carefully weighing our options and next steps.” — Zack Guzmán  (@zGuz) April 5, 2024  The news of Kwon’s sentencing caused Terraform’s token, LUNA, to jump over 40% in one day, from $0.07 to $0.10. Still, this rise remains small compared to its all-time high of more than $19, which the ecosystem reached before collapsing in May 2022. In a November court filing, Do Kwon’s lawyers asked for a maximum five-year sentence. They argued for a shorter term partly because he could face up to 40 years in prison in South Korea, where prosecutors are also pursuing a case against him. The legal team added that even if Kwon serves time in the U.S., he would not be released freely. He would be moved from prison to an immigration detention center and then sent to Seoul to face pretrial detention for his South Korea charges.    eToro Platform    Best Crypto Exchange   Over 90 top cryptos to trade Regulated by top-tier entities User-friendly trading app 30+ million users    9.9   Visit eToro eToro is a multi-asset investment platform. The value of your investments may go up or down. Your capital is at risk. Don’t invest unless you’re prepared to lose all the money you invest. This is a high-risk investment, and you should not expect to be protected if something goes wrong.