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Wearables, Robotics and Infrastructure Become Big Tech’s New Focus | PYMNTS.com

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Wearables, robotics and infrastructure are emerging as the next places big tech is trying to capture value in the artificial intelligence (AI) stack. This week’s developments, from Google’s smart-glasses revival to Skild AI’s acquisition talks and multibillion-dollar cloud commitments, show the stack shifting beyond models and applications.

Google Revives AI Smart Glasses for 2026

Google plans to release AI-enabled smart glasses in 2026, according to CNBC. The report said the device will run on Android XR and incorporate Google’s Gemini model to deliver real-time answers, translation tools and optional augmented displays.

The glasses mark Google’s return to wearables after earlier efforts with Glass. This version focuses on hands-free access to information rather than novelty features. By placing AI in a format that handles simple, in-the-moment tasks, Google extends its platform into a physical product category that could sit alongside smartphones rather than replace them. That same theme of integration carries into developments happening inside the federal government.

Pentagon Selects Google’s AI

Bloomberg reported that the U.S. Department of Defense chose Google’s AI platform to support roughly three million civilian and military employees. The selection allows staff across the department to use AI tools for research, internal documentation and information processing.

The decision places Google’s system inside one of the country’s largest workforces and shows how AI tools are being adopted not only for specialized defense applications but also for routine administrative work. These systems help employees process large volumes of material quickly. The trend also appears in private-sector investment as companies fund the next layer of AI capabilities.

SoftBank and Nvidia to Invest in Skild AI

Reuters reported that SoftBank and Nvidia are in discussions to invest in Skild AI at a valuation of about $14 billion, nearly tripling its earlier valuation of $4.7 billion.

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Skild AI develops foundation models for robotics, training systems that help robots interpret physical environments and perform tasks. While the field faces significant technical challenges, the rapid increase in valuation indicates that investors see AI-driven robotics as a category poised for broader experimentation. The need for large-scale compute resources in this area connects directly to the expansion of cloud infrastructure elsewhere in the market.

Meta Signs Multiple News Licensing Deals

Meta reached agreements with several major publishers, including CNN, USA Today and Fox News, to license news content for its AI assistant, according to CNBC. The company said the licensed material will help the assistant provide answers grounded in current and verified reporting.

These agreements shift how platforms work with publishers. Instead of supplying content for social feeds, the licensed material supports AI systems that respond directly to user queries. The arrangements reflect a broader trend toward grounding AI tools in professionally produced information as companies adjust to questions about accuracy and source quality in generative systems. The focus on reliable data mirrors the infrastructure investment happening at national scale.

Microsoft Commits to AI infrastructure in Canada and India

Microsoft announced $19 billion in AI and cloud infrastructure investments in Canada, which include new data centers and expanded cloud regions across the country. Reuters reported that more than five billion dollars of that amount will be deployed over the next two years.

Microsoft will also invest $17.5 billion in India over four years to build hyperscale data centers and cloud infrastructure to support rising AI workloads. The plan centered on building a new hyperscale cloud region in Hyderabad that comes online in 2026, expanding existing data-center regions in Chennai and Pune, and supporting nationwide AI adoption.

Amazon Pours $35 Billion More Into India

Amazon has announced a plan to invest an additional $35 billion in India by 2030. This investment is strategically aimed at furthering its business expansion, promoting artificial intelligence (AI) digitization, boosting export growth, and generating new jobs within the country.

The new financial commitment will increase Amazon’s total investment in India, which already stands at $40 billion allocated for infrastructure development and employee compensation, according to the company. To date, Amazon’s efforts have digitized 12 million small businesses, facilitated $20 billion in cumulative eCommerce exports, and supported a total of 2.8 million jobs. These previous investments funded crucial infrastructure, including fulfillment centers, data centers, digital payments systems, and robust transportation and technology networks.

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Speed Raises $8 Million to Expand Bitcoin and Stablecoin Payment Solutions | PYMNTS.com

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The company will use the new funding to build capacity, expand to new regions, develop more merchant tools, enable cross-border and creator payouts, and maintain reliability and compliance, it said in a Tuesday (Dec. 16) blog post.

Speed’s offerings include a global payment layer called Speed Merchant that is designed for merchants, platforms and payment systems and enables them to accept both Bitcoin and stablecoins, according to the post.

The company also offers a Lightning wallet called Speed Wallet that serves individuals and businesses and enables Bitcoin and stablecoin transfers, supports global payouts, offers local on- and off-ramps, and powers USDT transactions, the post said.

“We’ve always believed that Bitcoin and stablecoins can power everyday payments,” Speed CEO Niraj Patel said in the post. “That requires real infrastructure—fast, compliant and scalable. This investment validates that belief and accelerates our mission.”

Speed co-founder Jayneel Patel said in the post that the company aims to “solve real problems with technology.”

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“Speed started as a merchant solution and has grown into a global payment network,” Jayneel Patel said, adding the company is “ready to take the next leap.”

Stablecoin issuer Tether and venture fund ego death capital co-led the funding round, per the post.

Tether said in a Tuesday press release that its investment supports its strategy to support Bitcoin-aligned financial infrastructure and expand the utility of its USDT stablecoin in real-world payment environments.

“We support teams building practical infrastructure that reduces friction in payments and expands access to reliable settlement rails,” Tether CEO Paolo Ardoino said in the release.

Tether’s USDT stablecoin is the most traded cryptocurrency by volume around the world.

Adam Gebner, associate at ego death capital, said in a Tuesday blog post that Speed processed over $1.5 billion in payment volume over the past 12 months and serves more than 1.2 million users.

“By bridging Lightning and stablecoins in a single, compliant platform, Speed is positioning itself as foundational infrastructure for the Bitcoin and stablecoin economy, serving merchants, platforms and users across both developed and emerging markets,” Gebner said in the post.

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Databricks Targets $134 Billion Valuation in New Funding Round | PYMNTS.com

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Data analytics/artificial intelligence (AI) firm Databricks is reportedly raising $4 billion in a new funding round.

This Series L round would value the company at $134 billion, up 34% from its last session of funding during the summer, the Wall Street Journal (WSJ) reported Tuesday (Dec. 16).

Ali Ghodsi, Databricks’ co-founder and CEO, told the WSJ the company plans to use the new funding to invest in its core data-analytics products and AI software, while also letting its workers engage in secondary share sales.

The company, among the most valuable private firms in Silicon Valley, also plans to hire around 600 fresh college graduates in 2026, the CEO added, in addition to adding thousands of new jobs worldwide in Asia, Latin America and Europe. It also plans to hire AI researchers, who are typically paid top salaries, the WSJ added.

The report noted that Databricks has benefited from the AI boom, which relies partially on private corporate data to customize AI models. Databricks told the WSJ that its data-warehousing product, which can serve as an underlying data platform for AI services, surpassed a $1 billion revenue run rate at the end of October.

This year has seen Databricks ink deals with OpenAI and Anthropic to help sell AI services to business customers. Each of these partnerships are designed to push clients to develop AI agents, or independent bots that can carry out tasks on behalf of humans.

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The company’s new funding round comes three months after Databricks’ Series K round, which valued it more than $100 billion, up from $62 billion at the start of the year.

In other AI news, PYMNTS wrote earlier this week about The General Intelligence Company of New York, a start up developing agent-based systems designed to take over large portions of company operations.

“The company’s name deliberately evokes Gilded Age ambition, and founder Andrew Pignanelli told PYMNTS that the reference was intentional,” that report said. “He said he views AI as foundational infrastructure for the next era of company-building, much as railroads and industrial capital reshaped the United States economy more than a century ago.”

The company started by working backward from “the one-person billion-dollar business,” as Pignanelli termed it.

“We started at the end, the actual one-person billion-dollar company, and worked our way back and we were like, ‘What can we do today?’” he said.

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Apple App Store Fees Face Pressure From EU Developers | PYMNTS.com

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A collection of app developers and consumer groups want Europe to enforce laws against Apple.

The Coalition of App Fairness (CAF) on Monday (Dec. 15) issued an open letter to the European Commission (EC) accusing the tech giant of “persistent” non-compliance with Europe’s Digital Markets Act (DMA).

The letter follows findings from the EC that Apple had violated the DMA by keeping developers from directing users to alternative payment methods, fining the tech giant $588 million.

Apple in turn revised its terms for its app store to impose fees that ranged from from 13% for smaller businesses to up to 20% for App Store purchases. However, the CAF says Apple has not addressed what it calls a core issue: the company’s fees are preventing fair competition.

“The law says that gatekeepers like Apple must allow developers to offer and conduct transactions outside of the App Store free of charge,” the letter said. “However, Apple is now charging developers commission, fees of up to 20% for such transactions. This is a blatant disregard for the law with the potential to vanquish years of meaningful work by the Commission.”

The CAF also notes that Apple plans to introduce new terms and conditions for the App Store next month, and says it suspects the new terms will include fees that violate the DMA.

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“Apple cannot be permitted to exploit its gatekeeper position by holding the entire industry hostage,” the letter added.

PYMNTS has contacted Apple for comment but has not yet gotten a reply. The company had in September called on the commission to rethink the DMA, which was created to prevent market abuse by tech giants doing business in Europe.

“Over that time, it’s become clear that the DMA is leading to a worse experience for Apple users in the EU,” Apple wrote in a blog post. “It’s exposing them to new risks, and disrupting the simple, seamless way their Apple products work together. And as new technologies come out, our European users’ Apple products will only fall further behind.”

In its blog post, Apple argued the DMA requirements for allowing other app marketplaces and alternative payment systems don’t take into account the privacy and security standards of the App Store, putting customers at risk for being overcharged or scammed.

“The DMA also lets other companies request access to user data and core technologies of Apple products,” the company wrote. “Apple is required to meet almost every request, even if they create serious risks for our users.”

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