Google limits Meta's access to Gemini AI models amid rising demand

1 min read     Updated on 28 Jun 2026, 05:56 PM
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AI Summary

Alphabet Inc.’s Google has limited Meta Platforms Inc.’s access to its Gemini AI models due to high demand, causing disruptions in Meta's AI initiatives. The restrictions, communicated in March, have forced Meta to optimize token usage and prioritize its internal Muse Spark model. Despite previous collaborations like a $10 billion cloud pact and a multi-year AI chip rental deal, Meta is now reducing reliance on Google's infrastructure.

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Alphabet Inc.’s Google has reportedly limited Meta Platforms Inc.’s access to its Gemini AI models. This decision followed Meta’s request for more computing power than Google could offer, affecting Meta’s AI projects. Google informed Meta in March about the limitations, which have led to disruptions and delays in Meta’s internal AI initiatives, according to a report by the Financial Times. The restrictions continue to remain in place, prompting Meta to encourage its staff to optimize AI token usage.

Google Informed Meta In March About Limitations

Other Google clients have also faced similar restrictions, though to a lesser degree. Meta’s significant demand for Google’s models has made it particularly vulnerable to these constraints, one source noted, according to the report. Google’s move to cap access highlights the infrastructure challenges facing the AI industry. Despite substantial investments in technology, major companies like Google struggle to meet the growing demand for AI services. Google has recently secured additional capacity, including a $920 million monthly deal with SpaceX for computing resources.

Evolving Google-Meta Relationship

The relationship between Google and Meta has been evolving over the years, marked by significant collaborations and agreements. In August last year, Meta struck a $10 billion cloud pact with Google to bolster its AI capabilities, despite their competitive rivalry. In February, Meta agreed to a multi-year AI chip rental deal with Google, further solidifying their partnership. This arrangement allowed Meta to lease Google’s Tensor Processing Units to develop advanced AI models, showcasing Meta’s increased investment in AI technology.

Strategic Shifts at Meta

Meta has been using Gemini for automating safety processes and enhancing customer services. However, the company is now prioritizing its Muse Spark model to reduce reliance on external models. Earlier this month, Meta launched a new AI tool within Facebook Search, powered by its Muse Spark model, which is expected to potentially generate revenue of $10 billion annually.

How will Meta's shift toward its Muse Spark model impact its long-term partnership with Google?

Could Google's capacity constraints lead other major clients to seek alternative AI infrastructure providers?

What financial impact might the delays in Meta's AI projects have on its $10 billion revenue projection for Muse Spark?

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Alphabet hit by fresh AI talent exits, stock slides

2 min read     Updated on 27 Jun 2026, 03:38 AM
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AI Summary

Alphabet Inc. faces renewed pressure on its artificial intelligence capabilities as a wave of senior researchers departs for rival laboratories, including Anthropic and OpenAI. The exits have raised concerns about the tech giant's ability to retain top talent in a competitive market where competitors offer the potential upside of pre-IPO equity. This talent drain coincides with Alphabet's stock trading lower in premarket sessions and its upcoming inclusion in the Dow Jones Industrial Average.

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Alphabet Inc. faces renewed pressure on its artificial intelligence capabilities as a wave of senior researchers departs for rival laboratories, including Anthropic and OpenAI. The exits have raised concerns about the tech giant's ability to retain top talent in a competitive market where competitors offer the potential upside of pre-IPO equity. This talent drain coincides with Alphabet's stock trading lower in premarket sessions and its upcoming inclusion in the Dow Jones Industrial Average.

At least five researchers from Google's core AI team have left for rival labs over seven days, according to a CNBC report. Notable departures include Gemini co-lead Noam Shazeer, who is headed to OpenAI, and Nobel-winning DeepMind scientist John Jumper, who is joining Anthropic. Jumper, who shared the 2024 Nobel Prize in Chemistry for co-creating the AlphaFold AI system, announced his decision on June 19, 2026, ending a nearly nine-year tenure at the company. DeepMind CEO Demis Hassabis acknowledged the "extraordinary partnership" on X, stating their work "changed the world."

Impact on AI Strategy

The loss of key personnel underscores the challenges Google faces in commercially competitive areas such as AI coding tools. The latest exits come as Google works to rebuild credibility in AI after a difficult start to the generative AI cycle. The movement of senior talent between major AI firms has drawn increased scrutiny regarding Alphabet's retention capabilities.

Key Exits from Google's AI Division

Executive Previous Role New Company Date Announced
John Jumper DeepMind Scientist Anthropic June 19, 2026
Noam Shazeer Gemini Co-lead OpenAI Earlier this week

Market Reaction and Technicals

Alphabet shares reversed gains following the reports, with GOOGL down 0.70% at $341.30 and GOOG down 0.77% at $339.56 during premarket trading on Friday. The stock is trading below its short-term moving averages, sitting 6.1% below its 20-day SMA ($363.45) and 7.6% below its 50-day SMA ($369.27). However, the longer-term structure remains constructive as the stock holds above its 200-day SMA ($313.36) and 100-day SMA ($338.59).

Dow Jones Inclusion and Outlook

Separately, Alphabet will replace Verizon Communications Inc. in the Dow Jones Industrial Average before the open on Monday, June 29. The move gives the index more exposure to mega-cap technology stocks and the AI trade. Analysts maintain a positive outlook, with a Buy rating and an average price forecast of $423.46. The next major catalyst is the estimated earnings report on July 22, 2026, with EPS expected at $2.87 and revenue at $113.54 billion.

How will the loss of key researchers like Jumper and Shazeer impact Google's ability to close the competitive gap in generative AI coding tools?

Will Alphabet be forced to adjust its compensation structures with more aggressive equity packages to stem the tide of departures to pre-IPO rivals?

Can Alphabet maintain its positive analyst ratings and $423 price target if the talent drain accelerates ahead of the July 22 earnings report?

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