Hub Generative AI
Barclays estimates that data centers for AI giants like OpenAI, Meta, and Amazon could need as much as 46 gigawatts of electricity. That's about the same amount of power used by 44 million US households, or roughly a third of all homes in the country. Building out these projects could cost $2.5 trillion.
This massive expansion is already putting pressure on the power grid. Nvidia, Microsoft, and OpenAI are warning about possible grid instability caused by rapid swings in electricity demand. Some plans call for energy sources like solar plants and gas storage to be integrated directly into the data centers. OpenAI has even asked the US government to add 100 gigawatts of new power generation each year. It's still unclear how many of these projects will actually get built. According to Barclays, it's hard to draw the line between projects that are real and those that are still just speculation.
Coca-Cola is using generative AI for its “Holidays Are Coming” Christmas ads again this year. After facing backlash for last year's AI-driven campaign, Coca-Cola once again partnered with Silverside AI and Secret Level studios to create videos with fewer noticeable AI-related errors.
According to Chief Marketing Officer Manolo Arroyo, production and editing ran significantly faster and cheaper than with traditional shoots - about a month instead of a full year. The AI generated over 70,000 video clips, which artists then refined and polished. Coca-Cola says it plans to expand its use of AI in future projects.
Google introduces Pomelli, an AI tool that builds full social media campaigns for small and midsize businesses. It scans a company’s website to create a brand profile that includes tone, colors, images, and fonts, then suggests campaign ideas based on that profile. The generated content can be edited directly in the interface and downloaded for use. According to Google, the goal is to reduce the time and cost of producing marketing materials.
Pomelli is launching as a public beta in the United States, Canada, Australia, and New Zealand. Users in these regions can try it through Google Labs.
Qualcomm is making its debut in the data center hardware market with two new AI accelerator chips, the AI200, set for release in 2026, and the AI250, expected in 2027. Designed for liquid-cooled server racks, the chips focus on AI inference—running pre-trained models—rather than training them. Until now, Qualcomm has been best known for its mobile processors.
The move puts Qualcomm in direct competition with Nvidia and AMD. According to the company, the new chips are designed to offer advantages in power efficiency, cost, and memory capacity, supporting up to 768 GB per card. Early large-scale customers are already on board, including a Saudi operator planning deployments with energy demands of up to 200 megawatts. Following the announcement, Qualcomm’s stock price rose by 15 percent.
China's military uses domestic AI models like Deepseek and Alibaba's Qwen for autonomous weapons, report says.
A Reuters analysis shows that China's People's Liberation Army is systematically integrating artificial intelligence from domestic companies such as Deepseek and Alibaba into military systems. Hundreds of research papers, patents, and procurement documents point to widespread use of AI for battlefield automation. The projects include robotic dogs, drone swarms with autonomous target recognition, and real-time combat analysis.
According to Reuters, Chinese military institutions also continue to use Nvidia hardware, including A100 chips that fall under US export restrictions. Thirty-five patent filings reference these components.
Several of the army's procurement documents specifically mention Deepseek, while only one cites Alibaba's Qwen model. Researchers at Xi'an Technological University reported that their Deepseek-based system can analyze 10,000 combat scenarios in 48 seconds—a task that would take traditional planning teams 48 hours. The US State Department recently warned that Deepseek plays a role in supporting China's military and intelligence operations.