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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Cursor Expands To Mobile As AI Coding Agents Gain Ground

by THEFUTURE.TEAM

June 30, 2026

Cursor is expanding its AI coding platform to mobile devices with the launch of Cursor Mobile, allowing users to prompt coding agents directly from their smartphones.

Announced on Monday, the app builds on the Cursor 2.0 redesign introduced in October, which shifted the platform’s focus toward autonomous coding agents rather than a traditional code editor. Users can launch new agents or continue conversations started on desktop.

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A Mobile Interface For A Changing Workflow

The launch reflects a broader shift in AI-assisted software development. As coding agents become increasingly capable of handling implementation tasks, developers are spending less time navigating large codebases and more time reviewing, guiding and supervising AI-generated work.

That evolution also makes mobile devices a more practical interface. They are well suited to reviewing progress, sending prompts and managing ongoing workflows, even when the underlying development is taking place remotely.

Cursor is not alone in moving in that direction. Anthropic and OpenAI have also introduced mobile experiences for their coding products, signalling that competition is extending beyond model performance and editor integration to the overall developer workflow.

The Shift From Editing To Orchestration

For years, professional development tools were built around the assumption that developers would spend most of their time writing and editing code on desktop computers. AI coding agents are beginning to change that dynamic by taking on more of the implementation work, allowing developers to focus increasingly on directing, reviewing and refining outputs.

Anthropic’s Claude Code lead, Boris Cherny, recently described how dramatically his own workflow has changed.

“Most of my coding now is on my phone,” Cherny said. “I would have said ‘you’re crazy’ if you told me that six months ago, but yeah, here we are.”

Why The Mobile Bet Matters

Cursor’s latest release expands access to its AI coding agents beyond the desktop, reflecting broader changes in how developers interact with AI-powered tools. As coding increasingly involves prompting, reviewing and coordinating AI-generated work, mobile devices are becoming another way to stay connected to software projects throughout the development process.

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