AI’s Economic Benefits Surpass Emissions Concerns According to IMF

by News Editor

April 27, 2025

The International Monetary Fund (IMF) has recently highlighted the potential economic benefits of artificial intelligence (AI), projecting a global output boost of approximately 0.5% per year from 2025 to 2030. This growth is expected to surpass the environmental costs associated with higher carbon emissions from AI-driven data centers.

The report, showcased at the IMF’s spring meeting, emphasizes the need for equitable distribution of these economic gains while managing the adverse effects on our climate. The forecast indicates that AI’s contribution to GDP growth will outweigh the financial impacts of emissions, though it points out the necessity for policymakers and businesses to mitigate societal costs.

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Energy Demands and Environmental Footprint

AI is set to escalate global electricity demand, potentially reaching 1,500 terawatt-hours (TWh) by 2030, mirroring the energy consumption of countries like India today.

The increasing demand for data processing capacity could result in higher greenhouse gas emissions, but the AI industry aims to offset these with advancements in renewable energy technologies.

AI: A Driver for Energy Efficiency?

Analysts suggest that AI could potentially reduce carbon emissions through improved energy efficiency, fostering advancements in low-carbon technologies across sectors such as power, food, and transport. Grantham Research Institute stresses the significance of strategic action from governments and industries to facilitate this transition.

The role of AI in the global economy continues to evolve, stirring debates not only about its economic potential but also its environmental impact.

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Ring Makes New Encryption Standard Default For Cloud-Based Features

by News Editor

August 27, 2026

Amazon’s smart home division Ring is introducing a new encryption standard that will become the default for video protection and user controls, while allowing the company to offer more cloud-based features.

The standard, called TAKE, or “Throw Away the Key Encryption,” is designed to balance privacy with features that can be limited by end-to-end encryption, including video search, descriptions and access for trusted users.

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Temporary Keys Support Cloud Features

Under TAKE, Ring uses rotating encryption keys that are temporarily stored in the cloud and accessible only when needed to provide features activated by users. Once a request is completed, the company says the relevant keys will be deleted within 24 hours.

The system allows Ring to temporarily decrypt and process videos for cloud services such as Smart Alerts, which can notify users when people, vehicles or packages appear in a camera’s view. The company said in a blog post that the encryption key is deleted after the feature has been used.

Amazon’s technical white paper says TAKE was developed using Messaging Layer Security, an open messaging standard created by the Internet Engineering Task Force.

Users Can Still Choose End-To-End Encryption

TAKE will begin rolling out to customers in September and will become the default worldwide. Ring users will still be able to manually select end-to-end encryption instead.

The new system also includes several options for recovering encryption keys. Users who lose access to their device can authenticate by standing near their Ring cameras, while passphrases, cloud backups, another approved device or passkeys can provide alternative recovery methods.

Ring said the approach is intended to preserve access to cloud features without requiring users to give up control of their video encryption keys.

Privacy Concerns Remain

The announcement comes after months of scrutiny over Ring’s use of facial recognition. Its Familiar Faces feature can identify people appearing in camera footage.

In June, a class-action lawsuit accused Amazon of storing images of people passing by Ring cameras without their consent. The introduction of TAKE therefore comes as Ring faces continued questions over how its cameras process and protect personal data.

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