This native Chrome feature runs entirely on desktop and is currently available in English for U.S. users. It extracts insights from Google Shopping and external review partners—helping users make more informed purchasing decisions without leaving the site they’re browsing.

🔍 What Covers the AI‑Powered Store Summaries?

Trust Overview at a Glance

By clicking the site info icon, users see concise insights on product quality, customer service, pricing, shipping, and returns—aggregated from multiple review sources. A clickable link offers full access to all consumer reviews.

Credible Source Aggregation

The AI system compiles data from diverse platforms such as Reseller Ratings, Yotpo, Trustpilot, and ScamAdviser, ensuring a balanced view of a retailer’s performance and reputation.

⚙️ Why Chrome Is Implementing AI‑Powered Store Summaries

Safer Shopping Experiences

Online shoppers often worry about scams, unreliable sellers, and misleading listings. Chrome’s new feature provides clear, aggregated review data right in the browser, reducing risk.

Convenience Without Disruption

Users can instantly access store credibility information without navigating away—saving time while staying safe.

Competing with Amazon’s AI Tools

As Amazon increasingly uses AI for review summaries and recommendations, Chrome’s built‑in feature helps Google maintain parity in the AI shopping space.

🔎 Broader Context: AI Enters Shopping Ecosystem

Google is expanding AI across shopping experiences:

• Gemini in Chrome now offers in-browser content summaries and product help, powering AI Mode in search. ([turn0news21]turn0search11)
• Shopping personalization in Google Shopping includes AI-generated product summaries and visual inspiration tools.

This store-summary feature aligns with Google’s broader push to integrate AI deeply into search and commerce.

🧠 Expert Perspectives & Industry Response

TechCrunch highlighted Chrome’s new ability to generate store trust summaries built from multiple review sources. ([turn0search5]turn0search2)

Android Central noted this Chrome update provides safer shopping tools by summarizing reputation factors in-browser. ([turn0search2]turn0search1)

The Verge placed this change in context of Google’s expanding AI strategy, including Web Guide and AI Mode experiments.

📘 Conclusion

Google Chrome’s new AI‑powered store summaries mark a significant step in enhancing online shopping safety and convenience. By aggregating review data into easy-to-read summaries, Chrome simplifies trust evaluation for U.S. shoppers—without requiring additional extensions or leaving the browsing page.

As AI shopping tools evolve—across Chrome, Search, and beyond—Google strengthens its position in the AI retail landscape, helping users shop smarter and safer.

Source-

https://www.theverge.com/2024/10/15/24268117/google-shopping-personalized-feed-products-ai

The Gujarat AI action plan will serve as a time-bound blueprint integrating AI into healthcare, education, agriculture, fintech, and more. It aims to transform citizen services, welfare schemes, and decision-making with data-driven insights and seamless technology deployment.

🧭 Key Pillars of the Gujarat AI Action Plan

1. Data Governance

Establishing a secure, interoperable AI data ecosystem in compliance with national standards to drive decision intelligence.

2. Digital Infrastructure

Expanding GPU and cloud capabilities and launching AI factories in Tier‑II and Tier‑III cities. Integration with national platforms like AIRAWAT is planned.

3. Capacity Building

Targeting over 2.5 lakh individuals—including students, MSMEs, and government staff—for training in AI, ML, and data analytics.

4. Research & Development

Fostering partnerships with academia and startups to build real-world AI applications tailored for state departments.

5. Startup Facilitation

Supporting incubators and deep-tech startups through seed funding, mentorship, and infrastructure credits. Gujarat’s 1.5-lakh sqft i-Hub innovation campus plays a vital role.

6. Safe and Trusted AI

Ensuring responsible AI adoption with ethical frameworks, citizen trust mechanisms, and governance oversight.

🌍 Why the Gujarat AI Action Plan Matters

✅ Aligning with National Vision

The plan echoes Prime Minister Narendra Modi’s ambition to make India a global leader in AI—positioning Gujarat as a national frontrunner.

💡 Closing the Skills Gap

By upskilling over 2.5 lakh people in AI-related fields, Gujarat seeks to build a future-ready workforce for public and private sectors.

🔗 Strengthening Ecosystem

The dedicated AI and Deep Tech Mission will bridge collaboration between startups, government, academia, and industry to ensure robust innovation.

🏗 Scalable Pilot Deployments

Initial rollouts will include AI data repositories, governance pilots across departments, and localized AI clusters in small cities and towns.

🧠 Expert & Government Perspectives

Chief Minister Patel emphasized:

“This action plan is designed to facilitate smart decision-making and improve citizen-centric service delivery.”

An AI taskforce of ten domain experts guided the roadmap, focusing on strategic implementation and measured outcomes across governance and welfare domains.

📘 Conclusion

With the Gujarat AI action plan 2025–2030, the state charts a bold path toward AI-led governance, innovation, and societal transformation. Through its six strategic pillars and structured mission orientation, Gujarat aims to emerge as a national model for smart public services and digital excellence.

Sources-

https://economictimes.indiatimes.com/tech/artificial-intelligence/gujarat-cm-approves-ai-implementation-action-plan/articleshow/122936345.cms

https://www.newindianexpress.com/business/press-releases/2025/Jul/28/cm-bhupendra-patel-has-approved-an-action-plan-for-ai-implementation-to-position-gujarat-as-the-nations-leader-in-ai-enabled-governance

Emerging rules in states like Ohio now compel data centers to pay a large share of projected usage upfront. This marks a turning point in how tech companies data center energy costs are accounted for, signaling a much-needed demand for fairness and transparency.

🔍 The Growing Energy Drain from AI Data Centers

Skyrocketing Electricity Use

According to the IEA, electricity demand from global data centers is projected to more than double by 2030, reaching 945 TWh—roughly the current annual consumption of Japan. In the U.S., data centers may account for nearly half of electricity growth by then.

Consumer Ratepayer Impact

In PJM territory, rising energy use from data centers has caused a $9 billion spike in power costs between 2024 and 2025, translating to higher monthly bills for households (≈20 % increases in some regions).

State Moves Toward Accountability

Regulators in Ohio now require data centers to pay 85% of projected energy usage upfront for up to 12 years—ensuring they contribute fairly to grid expansion costs.

🧩 Why Tech Companies Should Pay for Data Center Utilities

Fairness in Cost Sharing

Utility rate systems traditionally socialized infrastructure costs across all users. But with AI centers creating unprecedented loads, expecting local residents to fund expansion for wealthy tech firms raises fairness concerns.

Policy and Climate Considerations

Critics warn that deregulating data center approvals (e.g., under Trump’s AI Plan) threatens environmental safeguards and may lock in fossil-fuel-dependent infrastructure—contradicting clean energy goals.

Grid Reliability & Planning

Data center proliferation has slowed grid interconnections. Virginia’s "data center alley" now faces seven-year wait times for capacity upgrades—and utilities must balance demand growth with stability.

🌍 Expert Perspectives

Ari Peskoe of Harvard Law’s Electricity Law Initiative argues:

“Ratepayers are subsidizing infrastructure built to serve a few trillion-dollar companies.”

Stateline and PPPL reports support new tariff models to prevent shifting costs from utilities to residents.

OpenAI CEO Sam Altman:

“The cost of AI will converge with the cost of energy.” Generating urgency for better energy policy alignment.

📘 Conclusion: Time to Reform Who Pays for AI Power

With tech companies data center energy costs escalating, industry stakeholders must rethink who foots the bill. Policies like upfront tariffs and fair pricing models—seen in Ohio and echoed by experts—highlight a path toward accountability.

As AI demand continues its exponential rise, governments and regulators must ensure that the energy burden doesn’t fall on everyday consumers. To secure both technological progress and energy equity, tech firms must take their rightful share of data center power costs.

Source-

https://www.msn.com/en-us/money/technology/opinion-tech-companies-building-massive-ai-data-centers-should-pay-to-power-them/ar-AA1JlMQx?ocid=BingNewsVerp

In this article, we explore the motives behind China’s proposal, its potential global implications, and how it could reshape the landscape of AI governance.

China’s Vision for Global AI Governance

China’s Ministry of Science and Technology emphasized that the new organization would prioritize inclusive development, fair AI competition, and responsible AI usage. The nation has already played a key role in setting up the Global AI Governance Initiative in 2023, and this new proposal extends that momentum toward establishing a formal intergovernmental body.

Key Goals of the Proposed Organization:

• Formulate universal AI ethics and governance frameworks
• Bridge AI regulatory gaps among nations
• Support joint R&D projects across borders
• Develop risk mitigation strategies for advanced AI models
• Promote open and inclusive development

This step reflects China's intent to position itself as a leader in global AI diplomacy while advocating for multilateralism in tech governance.

Why Now?

The proposal comes at a time when AI technologies—especially large language models and generative AI—are advancing rapidly. The international community is grappling with concerns around:

• AI misinformation and deepfakes
• Data privacy violations
• Algorithmic bias
• Autonomous weapons
• Job displacement and economic disruption

Amidst this context, China is calling for an inclusive and balanced AI order, countering fragmented national strategies that may lead to AI rivalry rather than cooperation.

How the World Has Reacted

Global response to China’s proposal has been cautious but curious.

• The EU, which has been proactive with its AI Act, has shown interest in global dialogue but emphasized the need for democratic values and transparency.
• The U.S. remains wary of China’s intentions but acknowledges the importance of international collaboration.
• Developing nations have voiced support, seeing GAICO as a potential platform to bridge the digital divide.

China has invited countries to join discussions through an upcoming World Artificial Intelligence Conference (WAIC) session.

Implications for the Future of AI

If successful, GAICO could become the first global framework for AI governance, similar to how the World Health Organization functions in the health sector or the WTO in trade.

Potential Benefits:

• Shared resources and talent pools
• Standardized data and safety protocols
• Reduced duplication in R&D
• Greater trust in AI products across borders

However, trust-building among rival nations and political transparency will be major hurdles.

Final Thoughts

China’s proposal for a Global AI Cooperation Organization could redefine how the world navigates the opportunities and risks of AI. While political complexities persist, the initiative could lay the foundation for a shared global approach to responsible AI development.

As artificial intelligence becomes the bedrock of future economies and societies, collaborative governance is not just a choice—it’s a necessity.

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