Finnish authorities told Google to suspend preparatory work on two planned data centres pending environmental reviews, after the company unveiled a €13 billion investment in the country’s AI infrastructure.

The Finnish Licencing and Supervision Agency (LVV) issued a notice to Google subsidiary Tuike Finland Oy to immediately suspend the data centre projects in Kajaani and Muhos regions “until the environmental impact assessment procedures for the projects have been completed”.

Tommi Muilu, head of the authority’s environmental department, stated available reports indicated extensive preparatory work had already taken place at the project sites, including tree and topsoil removal, construction of site roads and storage areas, alterations to ditches and culverts, and stormwater works.

“In our opinion, the measures in question will change the environment and cause impacts, the identification and assessment of which are among the key objectives of the EIA procedure,” he stated.

The suspension request applies, among other things, to the removal of trees, removal of topsoil, excavation, quarrying, crushing, transfer of soil masses, drainage and the construction of construction site roads and storage areas.

The request does not apply to planning, measurements, soil surveys or other measures with minor impacts and that can be easily restored.

The notice to Tuike Finland Oy ordered it to suspend work no later than 23 October until the environmental impact assessment procedures have been completed.

“We understand the concerns and have fallen short of our own high standards in this instance,” a Google representative told CNBC, adding it will follow the LVV’s guidance.

In addition to the data centres, the digital infrastructure project also includes AI facilities, nuclear power and renewable energy as part of Google’s largest single outlay in Europe.

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Trump Mobile’s customer database was reportedly hacked, exposing personal data of 3,615 subscribers in the latest set-back for the company launched by US President Donald Trump’s two oldest sons.

Straight Arrow News reported the hack appeared to be carried out last week by cybercrime entity BYOD.

The outlet reported BYOD claimed Trump Mobile stated it lacks a cybersecurity team after telling the company of the breach.

Trump Mobile representatives reportedly also likened BYOD’s actions to terrorism.

Straight Arrow News reported BYOD made the list of customers publicly accessible.

PCMag reported BYOD was able to gain access to the customer data through malware installed on the device of a Liberty Mobile employee, the MVNO behind Trump Mobile.

After a review of the stolen customer data, Straight Arrow News determined the leak included personal details about Trump Organisation VP and CIO Eric Brunnett, but not the president’s family.

Sensitive customer information was exposed in May, when the company began shipping devices.

Donald Trump Jr. and Eric Trump announced Trump Mobile and unveiled the T1 Phone in June 2025.

The device was priced at $499 and the company took $100 deposits from an estimated 600,000 people as it targeted first shipments in August or September 2025.

A claim the device was “proudly designed and built in the United States” was later stripped from press materials and the company’s website.

CNN previously reported the device strongly resembles a Chinese phone which retails for less than $200 at retailer Walmart.

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Nvidia highlighted work to help operators rethink dependence on closed AI systems, promoting open-source models to give carriers direct control over network automation and customer workflows.

In a blog, Nvidia stated operators including SoftBank Corp, AT&T and Indosat Ooredoo Hutchison are increasingly deploying open models alongside proprietary systems, explaining they retain full visibility over sensitive network data and can fine-tune models for their specific operational needs.

The move reflects a broader shift across telecommunications.

Nvidia highlighted the findings of its State of AI in Telecommunications 2026 survey in which 89% of operators deemed open-source software critical to their AI strategy, driven in part by independent benchmarks showing open models closing performance gaps in reasoning, coding and autonomous network triage.

Operators are dividing their workloads rather than relying on a single system. Expensive, proprietary models are reserved for complex tasks where closed platforms still hold an edge, while lower-cost open foundation models handle day-to-day operations.

SoftBank used Nvidia’s Nemotron family as the foundation for its Large Telecom Model, employing years of internal operational data.

Rajeev Koodli, principal fellow at SoftBank and SVP of SB Telecom America, explained open models allow it to capitalise on rapid global AI progress and its accumulated network expertise.

AT&T is also taking a multi-model approach. Chief data and AI officer Andy Markus said the goal is to intelligently match “every workload to the right combination of performance, cost and control.”

Nvidia highlighted Indosat Ooredoo Hutchison tailored its open models to Indonesian language and culture.

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