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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University Of Cyprus And DegradationLab Launch Solar Research Project

by THEFUTURE.TEAM

June 11, 2026

The DegradationLab Strategy Unit in Infrastructure and the University of Cyprus Photovoltaic Technology Laboratory have launched a research project focused on validating a performance monitoring system for next-generation photovoltaic devices.

Named MPPT-Solution, and formally titled “Proof of Concept of Open-Source, Low Cost, And Adaptable MPP Tracking System For Perovskite PV Devices”, the project aims to improve Maximum Power Point Tracking (MPPT) for emerging photovoltaic technologies, including perovskite-based solar cells.

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Addressing Hysteresis In Photovoltaic Performance

One of the project’s objectives is to address measurement hysteresis, a challenge associated with several emerging photovoltaic technologies. Researchers are developing an electronic monitoring system designed to track maximum power output more accurately and support performance assessment under varying operating conditions.

Rigorous Testing And Strategic Validation

Launched on March 1, 2026, the project is scheduled to run for nine months. Testing will be conducted under controlled laboratory conditions at the University of Cyprus before moving to field trials involving large-scale perovskite photovoltaic panels. During the outdoor testing phase, international industry partners will collaborate with researchers to evaluate system performance under real-world operating conditions.

Pathway To Commercial Viability

Alongside its research objectives, MPPT-Solution is exploring the development of an open-source, low-cost and adaptable MPPT system for future commercial applications. Project participants expect the technology to contribute to improving the efficiency and monitoring capabilities of next-generation photovoltaic installations.

Strategic Funding And Innovation

Funding is provided by the Cyprus Research and Innovation Foundation through its Proof of Concept programme, which forms part of the broader Smart Development initiative. Support from the programme will enable the development and validation of renewable energy technologies while strengthening research activity in Cyprus.

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