AI Aim: Amazon’s Bee Buy, OpenAI’s Stargate Plan, Alibaba’s Open Coder & More

There are a few things that we can be sure of—the sun will rise, the stars will shine, and there will always be new developments in the artificial intelligence (AI) industry.

A large part of this is down to OpenAI’s ChatGPT, the generative artificial intelligence (GenAI) chatbot that revolutionized industrial operations and individual lives. Since its debut, the chatbot creator has made numerous moves to enhance its products and services, making it users' preferred option, and the company remains at the forefront of AI innovation.

In just the last week, OpenAI launched ChatGPT Agent, conveyed plans of integrating a payment checkout system, teased GPT-5, announced an initial $50 million fund to support nonprofit and community organizations, and partnered with the UK Government.

Now, in OpenAI’s latest developments, the company is taking the next big step in the highly coveted Project Stargate—an initiative that was announced by President Donald Trump when he retook office.

While Initial plans were to invest $500 billion to develop 10 gigawatts of AI infrastructure in the United States over four years to quench AI’s insatiable thirst for large data centers, the project faced numerous delays due to disagreements and other reasons. Reports noted that the group—OpenAI, Oracle, and SoftBank—would settle on a more modest goal of building a small data center by the end of the year.

Now, OpenAI and Oracle announced that the two have entered an agreement to develop 4.5 gigawatts of additional Stargate data center capacity in the U.S. Adding to this will be the Stargate I site in Abilene, Texas, which takes the Project’s total AI data center capacity under development to over 5 gigawatts, powered by more than 2 million chips.

Furthermore, it’s expected to create over 100,000 jobs across construction and operations roles, as well as indirect jobs including manufacturing and local service roles.

Back at Stargate I, Oracle began delivering the first NVIDIA GB200 racks, allowing OpenAI to run early training and inference workloads.


We now move from hardware powering AI to hardware powered by AI.

Amazon, the maker of AI-powered device Alexa, is strengthening its position in the AI-powered wearables market by acquiring AI wearables startup Bee. Currently, Amazon offers several smart glasses and had even launched wrist health trackers called Halo—a project that was shut down in 2023.

The move was confirmed through a LinkedIn post (and a blaring message on Bee’s website) by Bee co-founder Maria de Lourdes Zollo, while Amazon also said the deal is real, but hasn’t closed yet.

Raising $7 million last year, Bee’s product line includes a smart wristband that costs $49.99 (shipped to the United States only), a $19-per-month subscription to go along with the wristband, and a standalone Apple Watch app.

“Bee is a personal AI that transforms your conversations, tasks, places and more into summaries, personal insights and timely reminders,” reads its website. Bee understands 40 different languages, allows a single press of the button to mute and unmute, and can be tailored to individual users, as it learns users’ “patterns, preferences and relationships.”


Pivoting to one of the more appreciated functions of AI technology—coding.

Alibaba Group unveiled Qwen3-Coder, the tech giant’s most agentic code model to date.

While the coder is available in multiple sizes, the company was proudest to introduce its most powerful version, Qwen3-Coder-480B-A35B-Instruct, which is “a 480B-parameter Mixture-of-Experts model with 35B active parameters which supports the context length of 256K tokens natively and 1M tokens with extrapolation methods.”

As per Alibaba, the new model offers exceptional performance in coding and agentic tasks and works seamlessly with the community’s best developer tools.

The company also unveiled Qwen Code, an open-source command-line tool for agentic coding built using Gemini Code, and “has been adapted with customized prompts and function calling protocols to fully unleash the capabilities of Qwen3-Coder on agentic coding tasks.”


Ahead of this, Elon Musk’s xAI—the maker of Grok—is looking to raise around $12 billion to buy NVIDIA AI chips housed in a new data center, as well as other expansion plans, according to people familiar with the matter. As per the report, Valor Equity Partners, whose founder enjoys close ties to Musk, is in talks with lenders to raise the capital.

It’s not just companies that are keen on AI tech.

The U.S. government is expected to publish a plan that will boost the availability of U.S.-made AI tech in foreign markets. The same plan intends to crack down on individual states whose laws are excessively restrictive, which could include cutting federal AI funding, in a bid to allow AI to flourish.

At the same time, the government wants to promote open source and open-weight AI development, as well as data center initiatives. The document notes that the plan will “focus on empowering American workers through AI-enabled job creation and industry breakthroughs.”

Even foreign governments are taking AI seriously.

In Taiwan, the government intends to launch the “Ten Major AI Infrastructure Projects” initiative, with the goal of producing over T$15 trillion ($510 billion) in economic value, the creation of 500,000 jobs, and three international-level research laboratories by 2040. Furthermore, the country expects an increase in investment in AI innovation, targeting over T$100 billion ($3.08 billion) in venture capital funding.

The move comes as the country aims to capture a commanding position in the AI sector, and as such will leverage its information and communications technology (ICT) sector and world-leading semiconductor manufacturing capabilities. The initiative will see Taiwan focus on three core technologies: silicon photonics, quantum technology, and AI robotics. It also plans to establish a quantum technology industry chain.

What do you think about the latest developments in the AI sector?

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