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IMF: AI economic gains likely to outweigh emissions cost

IMF: AI economic gains likely to outweigh emissions cost

Al Etihad22-04-2025
22 Apr 2025 17:49
WASHINGTON (REUTERS)Economic gains from artificial intelligence (AI) will boost global output by around 0.5% a year between 2025 and 2030, outweighing the costs of rising carbon emissions by the data centres needed to run AI models, the International Monetary Fund said on Tuesday.An IMF report released at its annual spring meeting in Washington nonetheless noted that those output gains would not be shared equally across the world, and called on policymakers and businesses to minimise costs to broader society."Despite challenges related to higher electricity prices and greenhouse gas emissions, the gains to global GDP from AI are likely to outweigh the cost of the additional emissions," it said."The social cost of these extra emissions is minor compared with the expected economic gains from AI, yet it still adds to the worrisome buildup of emissions," it said in the report titled "Power Hungry: How AI Will Drive Energy Demand".Takeup of AI is seen driving a surge in demand for energy-intensive data processing power in coming years, even as the world struggles to keep promises on reducing carbon emissions.The IMF report noted that the space dedicated to server-filled warehouses in northern Virginia, which has the world's largest concentration of data centres, was already roughly equivalent to the floor space of eight Empire State Buildings.It estimated that AI-driven global electricity needs could more than triple to around 1,500 terawatt-hours (TWh) by 2030 - about the same as India's current electricity consumption and 1.5 times higher than expected demand from electric vehicles over the same period.The carbon footprint of that rise will in part depend on whether tech firms can keep promises to slash emissions from data centres by increased use of renewables and other means.Efficiency gainsThe IMF estimated that strong takeup of AI would, under current energy policies, mean a global cumulative increase of greenhouse gas emissions of 1.2%, between 2025 and 2030. Greener energy policies would limit that increase to 1.3 Gt, it estimated.Using a figure of $39 per ton to quantify the social cost of those emissions, it put that extra cost at $50.7 to $66.3 billion - smaller than the income gains associated with the 0.5% point annual boost to global GDP it said AI could yield.Independent analysts say the economic and environmental impact of AI will depend to a large extent on how it is put to use - and notably whether it can lead to efficiency gains in energy use or more sustainable overall consumption patterns.The Grantham Research Institute on Climate Change and the Environment said it could even lead to an overall reduction in carbon emissions if it accelerated advances in low-carbon technologies in the power, food and transport sectors.
"But market forces alone are unlikely to successfully drive AI's application toward climate action," said Grantham policy fellow Roberta Pierfederici.
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Zoho Launches Zia LLM and Deepens AI Portfolio with Prebuilt Agents, Custom Agent Builder, MCP, and Marketplace
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Zoho Launches Zia LLM and Deepens AI Portfolio with Prebuilt Agents, Custom Agent Builder, MCP, and Marketplace

Homegrown, Business-Optimized Technology Addresses Needs for Developers and End Users While Enhancing Platform Capabilities SINGAPORE - Media OutReach Newswire - 28 July 2025 - Zoho Corporation, a global technology company, announced additional investments and offerings in AI, including Zia LLM, a proprietary large language model; Zia Agents, with 25+ ready-to-deploy AI-powered agents available in Agent Marketplace; Zia Agent Studio, a no-code agent builder; and a model context protocol (MCP) server to open up Zoho's vast library of actions to third-party agents. These capabilities and investments are designed to help organizations fully realize and maximize the value of contextual, assistive and agentic AI technology. Immediately impacting daily workflows for diverse roles and use cases, Zoho's latest AI developments deliver operational and financial efficiencies across entire organizations. "Zia LLM is a unique Enterprise LLM, this investment furthers Zoho's longstanding aim to build foundational technology focused on protection of customer data, breadth and depth of capabilities, and value," says Gibu Mathew, VP and GM of Zoho APAC. "Because Zoho's AI initiatives are developed internally, we are able to provide customers with cutting-edge tool sets without compromising data privacy and organizational flexibility, democratizing the latest technology on a global scale. For businesses, AI needs data integration at a DNA level, the Zoho platform is built with exactly that future and vision." Zia LLM, Built from the Ground Up and Optimized for Business Zoho has launched its own large language model, Zia LLM, built completely in-house by leveraging NVIDIA's AI accelerated computing platform. Trained with Zoho product use cases in mind—ranging from structured data extraction, summarization, RAG, and code generation—Zia LLM is comprised of three models with 1.3 billion, 2.6 billion and 7 billion parameters, each separately trained and optimized for contextual applicability that benchmark competitively against comparable open source models in the market. The three models allow Zoho to always optimize the right model for the right user context, striking the proper balance between power and resource management. This focus on right-sizing the model is an ongoing development strategy for Zoho. In addition to Zia LLM, Zoho is announcing two proprietary Automatic Speech Recognition (ASR) models for speech-to-text conversion for both English and Hindi. Optimized to perform on a low computer load without compromising on accuracy, the models benchmark up to 75% better than comparable models across standard tests. Language support for additional languages will be coming in the future. While Zoho supports many LLM integrations for users, including ChatGPT, Llama, and DeepSeek, Zia LLM continues Zoho's commitment to data privacy by allowing customers to keep their data on Zoho servers, leveraging the latest AI capabilities without sending their data to AI cloud providers. Zia LLM will be deployed across Zoho's data centers in the US, India, and Europe. The model is currently testing for internal use cases across Zoho's broad app portfolio, and will be available for customer use in coming months. Effective Native AI Agents Ready for Use To enable immediate adoption of agentic technology, Zoho has developed a roster of AI agents contextually baked right into its products. These agents can be used across various business activities, handling relevant actions based on real-life organizational roles (including sales development, customer support, and account management). Agents available today include: New Version of Ask Zia: The latest version of Zoho's platform-wide conversational AI assistant, Ask Zia 's new BI skills are tailored to data engineers, analysts, and data scientists, yet supports any user within an organization. Ask Zia is now equipped with capabilities that directly address the unique pain points faced by each persona, whether it's building end-to-end data pipelines for engineers, analyzing data, creating reports and dashboards in an interactive conversation mode for analysts, or helping to jump start building ML models for data scientists. Customer Service Agent: With the ability to process incoming customer requests, understand the context behind them, and either answer them directly or triage them to a human rep, the Customer Service Agent for Zoho Desk provides an efficient yet reliable first line of assistance, paving the way for quicker responses and resolutions. AI Agent Studio and Marketplace First announced earlier in 2025, Zoho has further simplified the Zia Agent Studio experience to be fully prompt-based (with the option to use low-code) and include ready-made access to over 700 actions across Zoho's products. Agents built by users can be deployed autonomously, triggered through button click or rule-based automation, or summoned within customer conversations. At the time of deployment, an agent can also be provisioned as a digital employee. Digital Employees respect defined user access permissions, maintaining the same permissions structures already defined within the organization. Admins are able to perform behavioral audits as well as performance and impact analyses on Digital Employees, ensuring that every agent is working as effectively as possible and within clear guardrails. Zoho Marketplace, which supplies over 2500 reliable extensions and integrations for Zoho users, now houses the Agent Marketplace, a dedicated section for AI agents that can be deployed by customers quickly. Ecosystem partners, ISVs, and individual developers will soon be able to create agents and host them on the Zia Agents Marketplace, further simplifying the adoption of agentic technology by organizations. Some pre-built agents created with Zia Agent Studio (and available on the Zia Agent Marketplace) are: Revenue Growth Specialist: Uncovers opportunities for upsell and cross-sell across existing customers, recommending the best marketing approach for each customer. Deal Analyzer: Analyze deals and provide insights such as win probability, next best action, and follow-up suggestions. Candidate Screener: Intelligently identifies and ranks the most suitable candidates for a specific job opening based on role requirements, skills, experience, and other key attributes. Zoho will continue to add more pre-built agents to the Agent Marketplace over time to cover several valuable core and utility use cases across various business functions. The full list of available agents can be found under Additional Documentation. With over 55 applications across one ecosystem, users can build agents to meet their organization's every need, no matter how specific. With Zia Agent Studio, Zoho users have access to the same tools as Zoho's developers, ensuring that any agent a customer dreams of can be created with ease. Interoperability with MCP Zoho has adopted the model context protocol (MCP), offering its own MCP server with a rich action library across several applications, allowing any MCP client to tap into data and actions from various Zoho apps while respecting the customer's defined permission structures. Zoho's MCP server has a library of actions from more than 15 Zoho applications exposed during Early Access. With Zoho Flow, third party tools are also exposed. Additional Zoho applications will be onboarded in the coming months. Furthermore, Zoho Analytics now offers support for a local MCP server. Roadmap In the short term, Zoho will regularly scale Zia LLM's model sizes, starting with the first of several planned parameter increases by the end of 2025. Future planned releases include expanding the available languages used by the speech-to-text model, beginning with languages spoken primarily across Europe and India, as well as the introduction of a reasoning language model (RLM). Additional skills will be added to Ask Zia, allowing it to act as an assistant to Finance teams and Customer Support teams, with more skills added in the future. Support for the Agent2Agent (A2A) protocol will be implemented, allowing for Zia Agents to interact and collaborate with each other, as well as collaborate with agents on other platforms. Additional Documentation Zia Agent Marketplace - Full list of available agents at launch Disclaimer All trademarks, product names, and company names cited herein are the property of their respective owners. Availability and Pricing Zia LLM will be available to Zoho customers in the coming months. Zia Agents, Zia Agent Studio, Agent Marketplace, and Zoho MCP Server are being rolled out to customers who are currently on the early access waiting list. General availability for these offerings is expected towards the end of 2025. Zoho expects to study the usage patterns of these customers across use cases, industries, geographical regions, and sizes during this early access phase. A pricing structure for these offerings can be expected at the time of general availability. Zoho Artificial Intelligence Differentiation Zoho is committed to designing and incorporating artificial intelligence guided by the principles of customer privacy and value. Our generic AI models across contextual, assistive, and agentic AI, are not trained on consumer data and do not retain customer information. Zoho builds AI tools with usefulness in mind, striking a balance between providing AI technology that assists workers while right-sizing models that don't require burdening consumers with additional costs. Hashtag: #zoho The issuer is solely responsible for the content of this announcement. About Zoho With 55+ apps in nearly every major business category, Zoho Corporation is one of the world's most prolific technology companies. Zoho is privately held and profitable with more than 18,000 employees globally with headquarters in Austin, Texas and international headquarters in Chennai, India. Zoho APAC HQ is located in Singapore. For more information, please visit: Zoho respects user privacy and does not have an ad-revenue model in any part of its business, including its free products. The company owns and operates its data centers, ensuring complete oversight of customer data, privacy, and security. More than 100 million users around the world, across hundreds of thousands of companies, rely on Zoho everyday to run their businesses, including Zoho itself. For more information, please visit: Zoho Corporation

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