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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Google Bets On AI Agents To Move Beyond Chatbots

by THEFUTURE.TEAM

October 9, 2026

Google is expanding Gemini beyond conversational AI with a unified agent designed to complete tasks on users’ behalf. Announced at a Google Cloud event, the system can plan work, use specialised tools and connect to business software, reflecting a broader shift from answering prompts to executing complex tasks.

AI companies are increasingly developing agents that can write code, schedule meetings, manage projects and interact directly with enterprise systems.

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Enterprise Customers Lead Google’s AI Push

Google is prioritising business users, relying on its existing corporate reach to scale agentic AI. CEO Sundar Pichai said Gemini has more than 1 billion monthly active users, while nearly 90% of Fortune 100 companies use Gemini Enterprise.

Google Cloud CEO Thomas Kurian said the new agent can work towards “objectives, not just instructions,” allowing users to delegate tasks without guiding every step. It can select the most suitable model automatically, while users can choose alternatives such as Anthropic’s Claude. Google plans to add more open-source and private models.

Connected To Business Tools And Data

The agent works with files, folders and projects while connecting to platforms including Google Workspace, Microsoft 365, Slack, Jira, Confluence, Git, BigQuery, Databricks, Postgres and Snowflake. It can also connect to Model Context Protocol servers inside or outside a company’s network.

A dedicated tasks inbox lets users track progress, including specialised skills, delegation to subagents and code execution, providing greater visibility into how work is completed.

A Digital Colleague With Its Own Identity

Gemini will have its own Google Workspace account and email address, allowing it to function more like a digital team member. The agent will take organisational structures, time zones, approval processes and calendars into account.

Employees can interact with it by tagging it, emailing it, sharing documents or adding it to group chats. Its actions will be recorded under its own identity, creating an audit trail separate from individual employees’ activity.

Availability And Early Adopters

Google said the agent will be available on iOS and Android, Windows and Mac desktops, the command line, Google Workspace, Microsoft 365, ServiceNow and Slack.

Early testers include On, Shopify and PayPal. Other named Gemini Enterprise customers include BNP Paribas, Bradesco, Merck, Orange Spain, Santee Cooper, SOMPO, Ulta Beauty and Wesfarmers.

Managing Enterprise AI Costs

To help businesses control spending, Google is introducing multi-model orchestration, smart routing and real-time spending limits.

The strategy reflects a broader shift in enterprise AI: systems are increasingly expected not just to generate answers, but to execute tasks across existing software while remaining subject to company oversight.

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