Why Google’s Gemini AI App Now Limits Usage and Raises Ultra Plan Cost

The quick version

Google’s Gemini AI app now enforces compute-based usage limits, marking a significant change from its previous model of relatively unrestricted access. Simultaneously, Google has increased the starting price of its AI Ultra subscription plan to $100 per month, positioning it as a more premium service offering.

What happened

At Google I/O 2026, Google announced important updates concerning its AI services, particularly the Gemini AI app. The app now implements compute-based usage limits, which means that users are restricted in terms of the amount of processing power or compute resources they can consume, rather than being limited solely by time or session count.

This change primarily impacts users with high demands on AI processing, including businesses and power users who rely on Gemini for complex AI tasks and frequent usage. Alongside these new limits, Google raised the starting price for its AI Ultra plan to $100 per month, up from previous tiers that were lower or offered more basic premium access options.

Why it matters

The shift to compute-based usage limits signals Google's need to balance the heavy demand for AI-powered services with the considerable infrastructure costs involved. AI computation, especially at scale, requires significant server resources and energy, and these limits help manage capacity and prevent abuse.

For end users, this means that casual or moderate users may see little change, but those who run intensive AI workloads—such as enterprises or developers—might encounter tighter restrictions or find themselves needing to subscribe to more expensive plans.

The price increase for the AI Ultra plan reflects Google’s rebranding of this tier as a premium option designed for serious power users and enterprise clients. This aligns the cost more closely with the value and computational resources offered.

The bigger picture

Google's move fits within a broader industry trend where AI providers are refining their subscription models to ensure sustainable operations while catering to varying customer needs. Managing compute limits helps Google avoid server overloads, maintain quality of service, and reduce the risk of misuse.

The rise in subscription cost may slow onboarding for casual users but could boost revenue from enterprise users who require extensive AI capabilities. Google is competing aggressively with other tech giants in the AI cloud and app subscription space, where pricing strategies and access limits are key differentiators.

Additionally, Google has been bundling services such as YouTube Premium Lite with its storage plans, indicating a broader strategy to enhance customer value and retention amid rising prices. This multi-service approach may help offset customer concerns over upgraded pricing in AI offerings.

What to watch next

User reaction to these changes will be crucial. Will Google receive pushback from heavy users facing new compute restrictions or higher fees? Monitoring forums, social media, and business customer feedback will provide insight into how well the market accepts these updates.

It will also be important to watch competitor moves in response. As other AI providers evaluate their price and access structures, the AI services market may see further adjustments aimed at balancing profitability with accessibility.

Google’s willingness to modify or fine-tune limits and pricing based on user feedback will be a key factor in the long-term success of the Gemini AI app and AI Ultra plan. Furthermore, observing how Google continues bundling services could reveal its strategy for maintaining subscriber growth despite rising costs.

Source note

Source: Google News - Technology, original article from 9to5Google, link: here