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Is Nvidia’s AI Boom Setting Up Telecom for a Hard Landing?

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Is Nvidia’s AI Boom Setting Up Telecom for a Hard Landing?

Nvidia’s runaway dominance in the AI era has reshaped global technology markets—and pulled the telecom sector into its orbit—but mounting evidence suggests the current boom may be unsustainable. Despite Nvidia CEO Jensen Huang’s insistence that no AI bubble exists, analysts and industry leaders are increasingly preparing for a correction.

Nvidia’s numbers remain extraordinary: revenue has soared 62% year-over-year to $57 billion, net income is up 65%, and gross margins exceed 73%. Its GPUs, originally built for gaming, have become the backbone of generative AI, vaulting Nvidia’s valuation beyond $4.5 trillion—an astonishing 1,300% stock surge since 2022. But this explosive rise stands in stark contrast to stagnant global economic growth.

Telecom leaders are among the most vocal skeptics. Nokia CEO Justin Hotard recently compared the current AI frenzy to the dotcom bubble, noting that innovation continued after the crash—but the crash still came. Concerns are amplified by Nvidia’s strategy of injecting capital into customers, such as its $100 billion commitment to OpenAI—an arrangement critics say resembles circular vendor financing.

Telecom has become a key battleground for Nvidia. Its $1 billion investment in Nokia has driven the company toward GPU-based 5G and 6G products, moving away from proprietary silicon. Yet major operators like Verizon and Orange question the economic viability of GPU-based radio networks. If an AI downturn hits just as Nokia shifts to Nvidia architecture, the risks could be severe.

An even greater threat looms if Ericsson or Samsung join the Nvidia ecosystem, placing global mobile infrastructure in the hands of a single, overvalued supplier.

Nvidia’s technological achievements are undeniable, but its expanding structural dominance—fueled by software lock-in and market momentum—raises the stakes. History is clear: no bubble inflates forever. For telecom, the real question is not whether the correction comes, but how deeply it will cut.