【BlockBeats】There is a piece of news on January 13th worth paying attention to. Trump stated that major U.S. tech companies are facing skyrocketing data center operating costs, and they have to cover this expense themselves. He also specifically pointed out that Microsoft will be the “first to take the plunge,” with “big moves” expected this week.
What is the underlying message here? Data centers are costly to run, with electricity bills being the biggest expense. Trump’s next target is very clear—focusing on electricity prices.
From an industry perspective, this will have a ripple effect on the cost structure of the entire tech supply chain. Data centers, AI training, cloud computing infrastructure… all are closely tied to electricity costs. The upward pressure on energy costs will propagate through, prompting tech companies to adjust their investment strategies and pricing systems accordingly. For fields like the Web3 ecosystem and mining pools, which also rely heavily on computational resources, the cost pressures will not be small.
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ZkProofPudding
· 01-13 01:15
Electricity costs have long needed to be addressed; tech giants are burning money too aggressively.
Trump's move is really ruthless; miners are probably going to suffer even more.
Microsoft's big move? I'm just waiting to see the crash site.
AI costs are about to explode; we need to consider switching to green energy.
Data center electricity bills are soaring; no one can escape this wave.
Pool days are getting tougher; I should have stocked up more energy.
On-chain computing power fees are rising, DeFi users will have to be mindful of their wallets.
If this guy really moves the electricity prices, the entire Web3 ecosystem will have to re-estimate costs.
One word, expensive! Computing power costs are about to skyrocket.
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AirdropHunter007
· 01-13 01:11
Is this another attempt to cut the leeks? I’m familiar with Trump’s tactics—first squeeze big corporations, then harvest retail investors.
Microsoft probably needs to raise prices this time, doubling cloud service costs, making it unaffordable for small project teams.
As electricity prices go up, both miners and AI companies will suffer, but isn’t this actually good for decentralization? Distributed energy is about to take off.
Just wondering if this round of adjustments will create new infrastructure tracks, and if there are any hidden investment opportunities, everyone.
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NFT_Therapy_Group
· 01-13 00:55
The rise in electricity costs has long been a familiar issue for miners haha, only now are tech giants feeling the pressure
Is Microsoft planning a big move? Or should they first figure out the money-burning AI chip situation
The cost transmission logic can't be escaped; Web3 has long been fighting a blood battle over electricity costs, and now it's their turn
Trump's targeting of electricity prices is really ruthless, making the days of cloud computing even harder
The surge in computing power costs is a done deal; they need to think about how to optimize infrastructure
Data center costs skyrocket? After Trump's statement, how should tech giants respond
【BlockBeats】There is a piece of news on January 13th worth paying attention to. Trump stated that major U.S. tech companies are facing skyrocketing data center operating costs, and they have to cover this expense themselves. He also specifically pointed out that Microsoft will be the “first to take the plunge,” with “big moves” expected this week.
What is the underlying message here? Data centers are costly to run, with electricity bills being the biggest expense. Trump’s next target is very clear—focusing on electricity prices.
From an industry perspective, this will have a ripple effect on the cost structure of the entire tech supply chain. Data centers, AI training, cloud computing infrastructure… all are closely tied to electricity costs. The upward pressure on energy costs will propagate through, prompting tech companies to adjust their investment strategies and pricing systems accordingly. For fields like the Web3 ecosystem and mining pools, which also rely heavily on computational resources, the cost pressures will not be small.