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.

The Future Forbes Realty Global Properties

Crypto.com Founder Kris Marszalek Sets New Benchmark With $70 Million AI.com Acquisition

by THEFUTURE.TEAM

February 9, 2026

Record-Breaking Domain Investment

In a move that has redefined high-stakes investments in the digital realm, Crypto.com founder Kris Marszalek has acquired the domain AI.com for a staggering $70 million. As reported by the Financial Times, the transaction, executed entirely in cryptocurrency, surpasses previous records by a wide margin.

Strategic Vision for Future Technology

Marszalek plans to present the domain formally during the upcoming Super Bowl, where it is expected to serve as the foundation for a personal AI assistant platform focused on messaging, app connectivity, and financial tools such as stock trading. Speaking to the Financial Times, he emphasized a long-term perspective on artificial intelligence, describing it as one of the most transformative technological shifts expected over the next two decades.

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The Landscape of Premium Domains

Until now, some of the most expensive domain purchases included CarInsurance.com at $49.7 million in 2010, VacationRentals.com at $35 million in 2007, and Voice.com at $30 million in 2019. Other notable sales, such as PrivateJet.com and 360.com, also illustrate how scarcity and brand potential can drive exceptional valuations in the domain marketplace.

Unparalleled Investment Opportunities

Domain broker Larry Fischer, who was involved in the transaction, described assets like AI.com as uniquely positioned thanks to their simplicity and universal relevance. While the long-term financial return of such acquisitions remains uncertain, Marszalek’s broader investment history, including the purchase of the Crypto.com brand and a high-profile stadium naming rights deal, indicates a consistent strategy focused on securing globally recognizable digital and commercial properties.

Conclusion

The AI.com purchase highlights how digital real estate continues to gain strategic importance alongside traditional assets. Beyond setting a pricing record, the deal reflects growing confidence in artificial intelligence as a central pillar of future technology and branding. As competition for short, universally understood domains intensifies, transactions of this scale may become rare but increasingly influential signals of where long-term value is perceived in the digital economy.

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