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The Global AI Buildout Accelerates as Tech Titans Drive Record Investment

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The global race to build artificial intelligence infrastructure shows no sign of slowing, as technology giants and industrial firms alike pour trillions into data centers, chips, and computing power. Nvidia’s market value soared past $5 trillion this week — a milestone that underscores how central AI has become to the global economy.

In a whirlwind week for the tech sector, Microsoft and OpenAI struck a landmark deal expanding the ChatGPT maker’s fundraising capacity, while Amazon announced 14,000 corporate job cuts just days before its cloud division reported its fastest growth in nearly three years. Together, these developments highlight AI as the defining engine of modern corporate spending and stock market momentum.

AI’s impact now extends beyond Silicon Valley. Over 100 non-tech companies — from Honeywell and GE Vernova to Caterpillar — referenced data centers in their earnings calls, signaling how deeply AI demand is reshaping industrial supply chains. Caterpillar’s data center equipment sales jumped 31% last quarter, reflecting the sector’s explosive growth.

Goldman Sachs projects global AI-related infrastructure spending could reach up to $4 trillion by 2030. Microsoft, Amazon, Meta, and Alphabet are expected to collectively invest around $350 billion this year alone. Meanwhile, AI investment is fueling international trade, with the U.S. importing vast quantities of semiconductors from Taiwan, South Korea, and Vietnam.

Despite talk of an AI “bubble,” companies continue to ramp up spending. Apple plans to significantly boost AI investments, and Amazon is projecting capital expenditures of $125 billion in 2025. Economists say this phase of the AI revolution remains in its early stages — with innovation advancing faster than any technology cycle in recent history.

Nokia Beats Profit Expectations as AI and Cloud Growth Power Optical Sales

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Nokia reported a stronger-than-expected third-quarter profit, lifted by booming demand for cloud infrastructure and AI-driven data center equipment following its acquisition of U.S. optical networking firm Infinera. Shares surged 10.6% to €5.20 — their highest level in over three years — adding €3 billion to the company’s market value.

Comparable operating profit reached €435 million ($507 million), well above analysts’ forecasts of €342 million, according to LSEG data. Group net sales rose 12% to €4.83 billion, supported by a 19% increase in optical network revenue on a constant currency basis. AI and cloud clients accounted for 6% of total sales and 14% of Nokia’s network infrastructure revenue.

CEO Justin Hotard said AI and data center demand “continues to accelerate,” underscoring the company’s growing focus beyond traditional mobile networks. Despite headwinds from U.S. tariffs, currency weakness, and losing a key AT&T 5G contract to Ericsson, Nokia upgraded its annual operating profit outlook to a range between €1.7 billion and €2.2 billion.

Meta to Cut 600 Jobs in Superintelligence Labs as AI Unit Restructures

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Meta announced plans to cut approximately 600 positions within its Superintelligence Labs division, part of a restructuring aimed at making the company’s artificial intelligence operations more agile and efficient. The layoffs will impact teams across Facebook Artificial Intelligence Research (FAIR), product-related AI, and AI infrastructure, according to the company.

Meta said affected employees are encouraged to apply for other internal roles. However, the newly created TBD Lab — a smaller group of researchers and engineers developing next-generation foundation models — will remain untouched. Chief AI Officer Alexandr Wang emphasized that the reduction in staff would streamline decision-making and increase each member’s scope and influence.

The reorganization follows a period of leadership turnover and mixed reception to Meta’s Llama 4 open-source model. The company recently consolidated all AI initiatives under the Superintelligence Labs umbrella to accelerate progress in foundational and applied AI research.

Separately, Meta secured a $27 billion financing agreement with Blue Owl Capital to fund its largest data center project to date. Analysts say the deal could help Meta advance its massive AI infrastructure plans while mitigating financial risks.