Jon Keegan
4/14/25
Big Tech companies say they are still going full speed ahead on plans to build out $315 billion worth of data centers to power the AI boom. (Well, maybe not Microsoft.)
But what effect will the on-again-off-again tariffs have on these plans?
A new report from analysts at Morgan Stanley says perhaps very little. The main reason is that semiconductors and GPUs are excluded from the steepest tariffs (for now, at least). The analysts wrote:
“We view the Powering AI theme as relatively insulated from tariffs and economic weakness, given the benefits of AI adoption and commitment among LLM developers to continued innovation and cost reduction.”
According to the report, there are enough crucial GPUs in the channel (most of which are likely Nvidia chips), consumer demand for AI services is growing, and American AI companies like Meta, Amazon, and Google are still in the lead and will continue to improve efficiency, benefiting from their early big investments in AI infrastructure.
But the analysts still see some potential risks to these grand data center plans, like “power bottlenecks,” where aging energy grids can’t keep up with the massive electricity requirements of data centers, and potential inflation of the other materials needed to build this infrastructure.
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Jon Keegan
3h
Microsoft has halted a data center project in Heath, Ohio, catching local officials off guard, according to Bloomberg.
This follows earlier reports of the company pausing or canceling other AI infrastructure projects in the US, which could indicate overestimated demand for data centers as the industry goes on a massive $315 billion capex spending spree.
Noelle Walsh, Microsoft’s head of cloud operations, confirmed in a LinkedIn post this week that the company is still on track to spend $80 billion on AI infrastructure:
“In recent years, demand for our cloud and AI services grew more than we could have ever anticipated and to meet this opportunity, we began executing the largest and most ambitious infrastructure scaling project in our history. By nature, any significant new endeavor at this size and scale requires agility and refinement as we learn and grow with our customers. What this means is that we are slowing or pausing some early-stage projects. While we may strategically pace our plans, we will continue to grow strongly and allocate investments that stay aligned with business priorities and customer demand.”
Noelle Walsh, Microsoft’s head of cloud operations, confirmed in a LinkedIn post this week that the company is still on track to spend $80 billion on AI infrastructure:
“In recent years, demand for our cloud and AI services grew more than we could have ever anticipated and to meet this opportunity, we began executing the largest and most ambitious infrastructure scaling project in our history. By nature, any significant new endeavor at this size and scale requires agility and refinement as we learn and grow with our customers. What this means is that we are slowing or pausing some early-stage projects. While we may strategically pace our plans, we will continue to grow strongly and allocate investments that stay aligned with business priorities and customer demand.”
Rani Molla
5h
It’s no secret that Apple’s AI is not very good.
The iPhone maker’s AI assistant Siri has been lagging the industry, as the company experiences executive shakeups and feature delays. Now Apple, which has had to walk a fine line between balancing its vaunted user privacy with progressing in AI, is hoping that by analyzing user data on its devices, it can bolster its AI chops.
The company trains its AI models on synthetic data, which many consider not as good as the real thing. To rectify that, Apple plans to check that synthetic data against samples of emails on users’ phones who’ve opted in to data analytics in order to improve its summarization and writing tools.
As Bloomberg’s Mark Gurman put it:
“The new approach will address that problem while ensuring that user data remains on customers’ devices and isn’t directly used to train AI models. The idea is to help Apple catch up with competitors such as OpenAI and Alphabet Inc., which have fewer privacy restrictions.”
The company trains its AI models on synthetic data, which many consider not as good as the real thing. To rectify that, Apple plans to check that synthetic data against samples of emails on users’ phones who’ve opted in to data analytics in order to improve its summarization and writing tools.
As Bloomberg’s Mark Gurman put it:
“The new approach will address that problem while ensuring that user data remains on customers’ devices and isn’t directly used to train AI models. The idea is to help Apple catch up with competitors such as OpenAI and Alphabet Inc., which have fewer privacy restrictions.”
Rani Molla
7h
Wedbush analyst Dan Ives wrote in a note this morning that the “concept of a US made car with all US parts is a fairy tale fictional narrative,” so he considers potential tariff relief to be “good news” for Tesla, as well as GM, Ford, and Stellantis. Despite manufacturing its cars for the US market in the US, Tesla still relies heavily on parts made in other countries, including Canada and Mexico. Ives wrote:
“While Tesla is in a much better situation relatively speaking... the auto tariffs are a complicating factor that could disrupt the supply chain and add cost inputs at a time Tesla and Musk are trying to balance its operations globally.”
And Tesla has a lot of other problems to worry about beyond tariffs.
Ives estimated the price increases resulting from the tariffs — $5,000 on the low end and $10,000 to $15,000 on the high end — would cause demand destruction of 15% to 20% for the US auto industry this year.
Rani Molla
22h
Apple is currently in tariff limbo, having been exempted from reciprocal tariffs and not yet having been assigned sector tariffs. Presumably, the new tariffs won’t be as bad as the previous 125% levies Apple was facing on China imports, so the hit to Apple’s earnings will likely be much less. Investors consider that pretty good news, with the stock closing up over 2% today — enough to bring Apple back into the $3 trillion club, which it had exited 10 days ago. It’s a lonely spot, though, since it no longer shares the space with Microsoft or Nvidia.
Rani Molla
4/14/25
Apple just had its best first quarter ever in terms of iPhone shipments, according to new data from IDC’s Worldwide Quarterly Mobile Phone Tracker, having moved 57.9 million units. But that growth doesn’t necessarily mean Apple is selling more iPhones. Apple has been stockpiling its flagship product in the US — recently shipping 1.5 million iPhones to the US from India — in order to avoid incoming tariffs, so it’s likely that behavior is showing up in its shipment data.
To get an approximate idea of how many of those phones were part of the stockpiling effort, one could look toward IDC’s January forecasts, which were made long before the news or reciprocal tariffs rattled Apple. The market intelligence firm had previously estimated that Apple would ship 52.6 million units in Q1 — the same as last year, which is also in line with Morgan Stanley estimates for the year — so it’s possible that about 5 million of the shipments were due to tariffs.
“Faced with heightened geopolitical uncertainty and the looming threat of substantial US tariff hikes on goods imported from China, vendors strategically accelerated production schedules and pulled forward significant shipment volumes, particularly into the critical US market, during Q1 2025,” Francisco Jeronimo, VP of client devices at IDC, said. “This supply-side surge, aimed at mitigating potential cost increases and disruptions, effectively inflated Q1 shipment figures beyond levels anticipated based on underlying consumer demand trends alone.”
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