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AI’s Economic Benefits Surpass Emissions Concerns According to IMF

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.

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.

Cyprus Proposes New Credit Scoring System And Data Sharing Reform

Cyprus Ministry of Finance has submitted a package of seven amendment bills aimed at restructuring how credit data is shared and introducing a unified credit rating system for individuals and businesses. Proposals are currently under review by the Parliamentary Committee on Finance.

Unified Credit Data Exchange Framework

Reform is part of a broader effort to modernise financial infrastructure and improve data exchange between credit institutions. Changes cover key areas including banking operations, consumer credit, mortgage agreements, credit management, finance leases and the sale of credit facilities. This initiative is also linked to the Recovery and Resilience Plan, aligning financial sector reforms with wider economic policy.

Advanced Credit Rating Mechanism

A central element of the proposal is the creation of a single credit score for borrowers. The system will use financial data from the past 24 to 36 months to assess the likelihood of default over the following 12 months. This approach is expected to improve lending decisions and support a gradual reduction in non-performing loans.

Empowering Regulatory Oversight And Data Security

Oversight will be assigned to the Central Bank, which will set operational rules, monitor compliance and impose penalties where needed. The framework also includes provisions on data protection and banking confidentiality, developed in coordination with the Office of the Commissioner for Personal Data Protection.

Structured Data Submission And Access Controls

Proposed legislation defines which entities must submit data and which can access it, introducing a tiered system based on operational needs. Participants will include banks, credit management companies and finance lease providers, all operating under defined conditions.

Reforms aim to simplify existing regulations and reduce overlaps between current laws, as Cyprus moves to modernise its credit system. Lawmakers are expected to review the package ahead of a vote before Parliament dissolves ahead of elections.

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