Daily Tech & GNSS News Digest - March 12, 2026

The EU is sharpening its antitrust focus on AI as Big Tech’s dominance across the full AI stack draws regulatory scrutiny. Meanwhile, Nvidia deepens its infrastructure bets with a $2 billion neocloud investment, and a new partnership aims to solve GPS-denied navigation for autonomous maritime operations.

Tech News

EU Puts Big Tech’s ‘Entire’ AI Operations Under Antitrust Scrutiny

EU antitrust chief Teresa Ribera raised the alarm over how major technology companies can “entrench corporate power” across AI markets, warning that Big Tech’s grip on the full chain of AI technologies—from chips to cloud to models—is under scrutiny for possible competition distortions. Regulators are pursuing alleged risks posed by giants including Nvidia and Meta.

The move comes amid escalating enforcement in Europe, where Apple and Meta were previously fined €500 million and €200 million respectively for DMA non-compliance, and Google was hit with a €2.95 billion antitrust fine. Bloomberg reports that this latest focus on AI represents a significant broadening of the EU’s tech regulatory ambitions into the fastest-growing segment of the industry.

Nvidia Invests $2 Billion in Neocloud Nebius

Nvidia announced a $2 billion investment in Amsterdam-based AI cloud company Nebius, acquiring an 8.3% stake at $94.94 per share. The deal sent Nebius shares up 16% and deepens Nvidia’s push into the fast-growing “neocloud” layer of the AI stack—companies that specialize in providing GPU-rich infrastructure to AI developers.

As part of the deal, the companies will collaborate on AI infrastructure deployment, fleet management, inference, and AI factory design. Nebius plans to deploy more than 5 gigawatts of data center capacity by 2030. The investment follows Nebius’s emergence alongside CoreWeave as a key infrastructure supplier, including a $17 billion deal with Microsoft and a $3 billion deal with Meta.

Meta Unveils Four Custom AI Chips

Meta revealed four new generations of its Meta Training and Inference Accelerator (MTIA) chips—the MTIA 300, 400, 450, and 500—in an aggressive push to reduce reliance on external chipmakers like Nvidia and AMD. The MTIA 300 is already in production, delivering 1.2 petaflops of performance with 216 GB of HBM memory for training ranking and recommendation models across Facebook and Instagram.

The chips will ship on a roughly six-month cadence, with MTIA 450 and 500 targeting AI inference and scheduled for mass deployment in 2027. Across the lineup, HBM bandwidth increases 4.5x and compute performance grows 25x from MTIA 300 to MTIA 500. The announcement came just weeks after Meta signed massive GPU deals with Nvidia and AMD, signaling a dual strategy of in-house silicon alongside external procurement.

Additional Headlines

Bipartisan AI Regulation Efforts: Lawmakers in Washington are drafting guardrails for AI in autonomous weapons and surveillance, while the UK loosens investment scrutiny of commercial AI to attract capital.
AI Deflationary Impact: Bloomberg Economics’ Anna Wong predicted AI will be deflationary for the economy over the next two-to-five years, while roughly 40% of workers now use AI at least several times per quarter.
Google Maps Gets ‘Ask Maps’: Google unveiled a natural language query feature for Google Maps, allowing users to find locations and plan routes through conversational prompts powered by Gemini.
CXL Memory Technology Gains Traction: Google and Nvidia are embracing CXL (Compute Express Link) as an alternative memory technology, as the AI boom creates unprecedented pressure on memory supply and pricing.

GNSS News

Anello Photonics and Mythos AI announced a strategic collaboration to deliver resilient, plug-and-play navigation solutions for autonomous maritime systems. The partnership combines Anello’s Silicon Photonics Optical Gyroscope (SiPhOG) inertial sensing technology with Mythos AI’s intelligent autonomy and sensor fusion software to maintain navigational continuity when satellite signals are degraded or unavailable.

Maritime operations face escalating risks from GNSS disruptions, whether caused by accidental interference or intentional jamming. The integrated system targets the rapidly growing unmanned surface vehicle (USV) market, where vessels are taking on expanded roles in offshore energy, maritime security, hydrography, and defense. By performing GPS-independent navigation natively, the solution addresses one of the most critical challenges in maritime autonomy.

FastXY Turns Smartphones into Survey-Grade GNSS Tools

Digital Mapping Group launched FastXY, a mapping application for iOS and Android that transforms standard mobile devices into professional-grade data collection tools for GIS and AEC professionals. Unlike lightweight mapping apps, FastXY delivers advanced capabilities including 3D basemaps, construction staking, topographic surveying, on-the-fly datum transformations, and survey-grade elevations.

A standout feature is its built-in Bluetooth data parser, which lets users connect to virtually any instrument supporting BLE Bluetooth or RS-232—making it one of the most hardware-flexible GNSS data collection apps available. The app also supports offline data capture and automatic datum handling for fieldwork in connectivity-limited environments.

Key Takeaways

AI regulation intensifies on both sides of the Atlantic: The EU is expanding antitrust scrutiny to cover the entire AI value chain, while US lawmakers draft bipartisan frameworks for AI in defense and surveillance.
Infrastructure dominance defines the AI race: Nvidia’s $2B Nebius investment and Meta’s four-chip MTIA roadmap show that controlling the compute layer—whether through cloud partnerships or custom silicon—is now a strategic imperative.
GPS-denied navigation matures for maritime: The Anello-Mythos AI partnership signals growing commercial demand for inertial navigation solutions that can operate independently of satellite signals in contested or degraded environments.