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Google has a leg up over Apple in the race to roll out personalized AI

Google and Apple are going for the holy grail of AI chatbot integration, but it looks like Google is getting there first.

This week, Apple and Google made dueling announcements that offer a glimpse of what the next phase of consumer AI may look like — and which company might be better positioned to dominate it.

On Monday, Apple revealed it had chosen Google’s Gemini AI model to power the next generation of Siri and Apple Intelligence. Two days later, Google announced Personal Intelligence, a new capability that lets users connect Gemini with their other Google apps.

The end goal is the same for both companies: highly personalized, context-aware AI assistants that are deeply integrated across devices and services, making their ecosystems even harder to leave. Personalization and app interconnection are widely considered the holy grail of consumer AI because they can make assistants dramatically more useful. But they’re also notoriously hard to pull off, since success depends not just on the quality of the models, but on years of existing products, relationships, and trust.

Apple and Google enter this race with very different strengths — and very different constraints. Here’s how they stack up.

The AI

When it comes to AI models themselves, Google has the upper hand — a fact underscored by Apple’s decision to use Google’s Gemini models to power the next generation of Siri and Apple Intelligence. Google not only built Gemini in-house, but has already deployed it across its core products, giving it a meaningful head start in real-world use. Apple is expected to launch its new Siri this spring, but many of the key personalized features reportedly won’t be unveiled until summer.

That doesn’t mean Google has been or is the uncontested leader in consumer AI overall. Microsoft-backed OpenAI set the pace by launching ChatGPT in 2022, which remains the most widely used chatbot. But OpenAI’s biggest limitation is structural: it doesn’t own the consumer devices where most people interact with AI. As a result, it has had to rely on partnerships rather than defaults — a disadvantage as AI becomes more tightly woven into operating systems and hardware.

The phone

Apple’s biggest advantage is its control over the iPhone, the leading smartphone by shipments globally. In the US, Apple accounts for roughly half of all smartphone shipments. Google, by contrast, holds about 3% of the US market with its Pixel phones.

Google does have a broader foothold through Android, which supports Gemini and powers devices from Samsung and other major manufacturers. But that relationship is more indirect: Google doesn’t control the hardware, distribution, or customer relationship in the same way Apple does with the iPhone.

Other potential challengers are still speculative. OpenAI, for example, is working with former Apple design chief Jony Ive on an AI-first hardware device, but that effort remains under development.

The services

If the phone determines where AI shows up, services determine how useful it can be. And here, Google has the edge.

Google’s AI is already embedded across a sprawling set of consumer services — Search, Gmail, Maps, Photos, YouTube, and Calendar — giving Gemini access to years of user intent and behavior. Personal Intelligence is designed to connect those dots, letting the assistant reason across apps in ways few competitors can match.

Apple’s services ecosystem is sizable, but more constrained. While Apple runs popular products like iMessage, Photos, and iCloud, as well as its own calendar and email, many users still rely on third-party apps for core functions like search, maps, and email. And Apple’s privacy-first approach, while good for user trust, limits how much data can be pooled or processed centrally, making deep cross-service personalization harder to achieve.

Over the coming months, Apple and Google won’t just be competing on AI capability, but on whose ecosystem proves better suited to make AI truly personal at scale.

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EPA: xAI’s Colossus data center illegally used gas turbines without permits

The Environmental Protection Agency has ruled that xAI violated the law when it used dozens of portable gas generators for its Colossus 1 data center without air quality permits.

When xAI set out to build Colossus 1 in Memphis, Tennessee, CEO Elon Musk wanted to move with unprecedented speed, avoiding all of the red tape that could slow such a big project down.

To power the 1-gigawatt data center, Musk took advantage of a local loophole that allowed portable gas generators to be used without any permits, as long as they did not spend more than 364 days in the same spot. That allowed xAI to bring in dozens of truck-sized gas generators to quickly supply the massive amount of power the data center needed to train xAI’s Grok model.

The new EPA rule says the use of such portable generators falls under federal regulation, and the company did need air quality permits to operate the turbines. xAI is also using dozens of such generators to power its Colossus 2 data center just over the border in Alabama.

To power the 1-gigawatt data center, Musk took advantage of a local loophole that allowed portable gas generators to be used without any permits, as long as they did not spend more than 364 days in the same spot. That allowed xAI to bring in dozens of truck-sized gas generators to quickly supply the massive amount of power the data center needed to train xAI’s Grok model.

The new EPA rule says the use of such portable generators falls under federal regulation, and the company did need air quality permits to operate the turbines. xAI is also using dozens of such generators to power its Colossus 2 data center just over the border in Alabama.

tech

Trump to push Big Tech to fund new power plants as AI drives up electricity costs

President Donald Trump is expected to announce a plan Friday morning that would require Big Tech companies to bid on 15-year contracts for new electricity generation capacity. The move would effectively force companies to help fund new power plants in the PJM region as soaring demand from AI data centers pushes up electricity costs across the US power grid.

Earlier this week, Trump called on tech giants to “pay their own way,” arguing that households and small businesses should not bear the cost of power infrastructure needed to support energy-hungry data centers.

Microsoft quickly responded, saying it would “pay utility rates that are high enough to cover our electricity costs,” along with committing to other changes aimed at easing pressure on the grid. Other major tech companies are expected to follow suit, though Wedbush Securities analyst Dan Ives warned the added costs could slow the pace of data center build-outs.

As we’ve noted, forcing tech companies to shoulder higher electricity costs is likely to hit some firms harder than others. Companies like Microsoft, Google, and Amazon can pass at least some of those costs on to customers by selling data center capacity downstream. Meta, in contrast, does not have a cloud business, meaning its AI ambitions lack a direct revenue stream to offset rising power costs.

So far tech stocks don’t appear to be affected much in premarket trading. However utility companies most levered to the AI boom certainly are, with Vistra, Constellation Energy, and Talen Energy deep in the red ahead of the open as analysts at Jefferies warn that these firms face risks from this plan.

Earlier this week, Trump called on tech giants to “pay their own way,” arguing that households and small businesses should not bear the cost of power infrastructure needed to support energy-hungry data centers.

Microsoft quickly responded, saying it would “pay utility rates that are high enough to cover our electricity costs,” along with committing to other changes aimed at easing pressure on the grid. Other major tech companies are expected to follow suit, though Wedbush Securities analyst Dan Ives warned the added costs could slow the pace of data center build-outs.

As we’ve noted, forcing tech companies to shoulder higher electricity costs is likely to hit some firms harder than others. Companies like Microsoft, Google, and Amazon can pass at least some of those costs on to customers by selling data center capacity downstream. Meta, in contrast, does not have a cloud business, meaning its AI ambitions lack a direct revenue stream to offset rising power costs.

So far tech stocks don’t appear to be affected much in premarket trading. However utility companies most levered to the AI boom certainly are, with Vistra, Constellation Energy, and Talen Energy deep in the red ahead of the open as analysts at Jefferies warn that these firms face risks from this plan.

tech

OpenAI working to build a US supply chain for its hardware plans, including robots

When OpenAI purchased Jony Ive’s I/O, it entered the hardware business. The company is currently ramping up to produce a mysterious AI-powered gadget.

But OpenAI plans on making more than just consumer gadgets — it also plans on making data center hardware, and even robots.

Bloomberg reports that OpenAI has been on the hunt for US-based suppliers for silicon and motors for robotics, as well as cooling systems for data centers.

AI companies are looking toward robots as a logical next step for finding applications for their models.

OpenAI told Bloomberg that US companies building the AI brains of robots might have an edge against the Chinese hardware manufacturers that are currently making some impressive humanoid robots.

Bloomberg reports that OpenAI has been on the hunt for US-based suppliers for silicon and motors for robotics, as well as cooling systems for data centers.

AI companies are looking toward robots as a logical next step for finding applications for their models.

OpenAI told Bloomberg that US companies building the AI brains of robots might have an edge against the Chinese hardware manufacturers that are currently making some impressive humanoid robots.

tech
Jon Keegan

ICE agents arrest workers from Meta’s Hyperion data center site

Yesterday, US Immigration and Customs Enforcement (ICE) officers stopped and arrested two workers from Meta’s massive Hyperion data center construction site in Richland Parish, Louisiana.

According to the Richland Parish Sheriff’s Office, two dump truck drivers were stopped and arrested as part of a traffic stop as they headed to the construction site where thousands of people are working.

Bloomberg reports that unmarked vehicles at the perimeter of the construction site were stopping and checking the identification of workers. The Sheriff’s Office said ICE agents did not enter the Meta site at any time.

Bloomberg reports that unmarked vehicles at the perimeter of the construction site were stopping and checking the identification of workers. The Sheriff’s Office said ICE agents did not enter the Meta site at any time.

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