Month: May 2026

Throughout April, AMD employees from around the world came together to turn purpose into action in celebration of Earth Month. Through hands‑on volunteering and giving initiatives, AMDers demonstrated how collective action can help protect the environment while strengthening the communities where they live and work.

In 2026, more than 1,800 AMD volunteers across 34 global sites participated in 38 company‑sponsored events, all aligned to the Earth Day 2026 theme, “Our Power, Our Planet.” Activities focused on restoring natural spaces, planting trees, reducing waste, rescuing food and supporting environmental education, reflecting an ongoing commitment to community impact and environmental stewardship.

Seed balls: Small actions, global growth

One of this year’s signature activities focused on scalable environmental impact. Volunteers across 17 sites in the United States, Canada, Malaysia, India and the United Kingdom created 15,000 seed balls to support local afforestation efforts. Designed for easy planting and natural growth, the seed balls will be distributed through community partners such as community gardens and after-school programs, helping foster long-term green spaces and local biodiversity.

Greening communities through tree planting and garden work

Tree planting played a central role in Earth Month activities. Volunteers in Armenia, Taipei, Iasi, Suzhou and Markham planted more than 500 trees of various species, adding long-lasting green infrastructure to schools, parks, farms and urban areas.

In addition to planting trees, AMD teams supported community gardens and green spaces through hands-on service. Volunteers planted and mulched crops in Longmont and Seattle, while teams in Belfast helped clear land in preparation for a new sensory garden designed to support students and educators. These efforts will continue to benefit communities well beyond Earth Month.

Protecting waterways, parks and shared outdoor spaces

Across continents, AMD volunteers took action to help keep local environments clean, healthy and accessible. Teams removed thousands of pounds of trash from parks, trails and waterways in Fishkill, Austin, Ottawa, Singapore and Rochester, contributing to healthier ecosystems and more welcoming shared spaces.

In Edinburgh, volunteers supported both environmental preservation and public safety. Alongside litter cleanup efforts along the coastline, teams repaired 10 posts in a regional park, improving accessibility and safety for walkers.

Reducing waste and advancing circular solutions

AMD Earth Month activities also highlighted the importance of waste reduction and circular solutions. In Singapore, volunteers rescued seven tons of produce during a food rescue initiative, helping reduce food waste while supporting community organizations.

In Fort Collins, a donation drive kept 1,440 pounds of reusable items out of landfills, extending the life of materials while supporting local job training and community programs.

Volunteers in Hong Kong hosted an upcycling workshop that transformed used coffee grounds into soap, demonstrating how everyday waste can be repurposed creatively. In Santa Clara, teams assembled wind energy STEM kits, helping students explore renewable energy concepts through hands-on learning.

The momentum continues

While Earth Day has passed, the commitment to environmental stewardship continues. Volunteer events are still planned throughout May, extending the impact of Earth Month and reinforcing a focus on sustainable community engagement.

For more information on community involvement at AMD, visit: https://www.amd.com/en/corporate/corporate-responsibility/community.html.

As originally published by The Linux Foundation

Financial services, infrastructure, security, and public sector organizations join AAIF’s growing community to help shape the standards behind production-grade agentic AI

Summary

• This quarter, the Agentic AI Foundation (AAIF) adds 4 new Gold Members – F5, GoDaddy, Stripe, and TRON – along with 27 Silver Members and 12 Associate Members spanning enterprise technology, robotics, and government organizations.
• New members join a neutral community working to collaborate on open source and open standards of protocols, tooling, and frameworks for interoperable agent-based AI systems.
• The AAIF’s latest cohort reflects growing institutional adoption, with national laboratories, government agencies, universities, and global enterprises recognizing open standards as the foundation for deploying agentic AI safely and at scale.

The Agentic AI Foundation (AAIF), the neutral home where the open standard agentic AI stack is being built, today announced the addition of 4 new Gold Members, 27 new Silver Members, and 12 new Associate Members in the past quarter, bringing total membership to 190 organizations.

The new members bring a breadth of technical expertise that spans the full stack of modern AI infrastructure – from application delivery and payment processing to cybersecurity, robotics, and cloud native development. Representing financial services, government, academia, and enterprise technology, these organizations reflect the increasingly intersectional nature of agentic AI adoption and strengthen the Foundation’s ability to develop standards that are grounded in real-world operational demands across diverse industries.

“The conversation around agentic AI has fundamentally shifted,” said Mazin Gilbert, Executive Director of the Agentic AI Foundation. “No matter the industry, organizations building production systems are choosing to invest in open standards because they understand that fragmented, proprietary approaches don’t scale. Across the board, there’s a clear consensus – the future of agentic AI depends on open, interoperable protocols that everyone can build on and trust.”

By joining the AAIF, new members gain access to a global ecosystem where they can directly shape emerging standards, collaborate on open source innovation, and help meet growing demand for interoperable, standardized agentic infrastructure.

New Gold Members

The following organizations have recently joined the AAIF as Gold Members:

1. F5 helps organizations deliver and secure AI powered applications at scale. Through advanced traffic management, intelligent routing, and real time security, F5 enables customers to optimize AI inference performance, control costs, and protect model interactions across distributed environments, from enterprise deployments to large scale AI infrastructure and sovereign AI initiatives.
2. GoDaddy (NYSE: GDDY) is the world’s largest domain name registrar helping millions of entrepreneurs globally start, grow, and scale their businesses. Airo, the company’s AI-powered experience, makes growing a small business faster and easier by helping customers get their idea online in minutes.
3. Stripe is a technology company that builds economic infrastructure for the internet. Businesses of every size – from new startups to public companies – use its software to accept payments and manage their businesses online. Stripe has dual headquarters in San Francisco and Dublin, as well as offices in London, Paris, Singapore, Tokyo, and other locations around the world.
4. TRON is a world leading decentralized blockchain, and among the largest networks for sending and transacting in stablecoins, with over 381 million users, 13.9 billion total transactions and counting, $26T+ cumulative transfer volume, and one of the largest supplies of USDT (at over $89 billion) as of May 2026.

New Silver Members include Alice, Agen.co by Frontegg, Arkhai, Atlassian, Autonomous Security, Avaya, Concord, Contoro Robotics, Danal, Eigen Labs, Elgin White (soon to be Alpha FMC), Fastly, Lablup, Manufact, MintMCP, MOXFIVE, Natoma, NEXUS, Render, Savoir-faire Linux, Semiotic AI, Solvd, Stacklet, Teradata, Tigris Data, TrueFoundry and VeriSign.

New Associate Members include Consumer Reports, Drexel University, NCUK, NSW Government, National Sun Yat-sen University, Pacific Northwest National Laboratory, Rust Foundation, Sandia National Laboratories, San Jose State University, The Pennsylvania State University, University of Washington, and the U.S. Army.

Supporting Quotes

“AI is quickly moving from experimentation to production, where performance, cost, security, and governance become critical. F5 is joining the Agentic AI Foundation because we believe open standards will be essential to how agentic AI systems are delivered, scaled, and trusted. As organizations build more distributed AI environments, efficient inference, intelligent routing, and secure model interactions will become foundational to production AI. We’re excited to collaborate with the AAIF community to help advance open, interoperable approaches that support the next generation of AI applications.”

– John Maddison, Chief Marketing Officer, F5

“AI agents are participating on the open web alongside people and bots. For this to scale securely, agents must be discoverable via a verifiable identity tied to a real organization. That’s a problem solved decades ago for human interaction with websites. GoDaddy joined the Agentic AI Foundation to help extend those open standards to the agent ecosystem.”

– Jared Sine, Chief Strategy and Legal Officer, GoDaddy

“Joining AAIF reflects TRON’s commitment to advancing open standards that enable autonomous systems to operate globally. The future of agentic AI will depend on interoperable infrastructure that allows autonomous agents to coordinate, exchange value, and interact with digital financial systems at scale. With the AAIF, TRON looks forward to building and supporting frameworks that connect AI with decentralized financial infrastructure and enable continuous machine-driven economic activity powered by blockchain.”

– Justin Sun, Founder, TRON

 

About the Agentic AI Foundation

The Agentic AI Foundation (AAIF) is the neutral home where the open standard agentic AI stack is being built. With founding projects including MCP, goose, and AGENTS.md, AAIF governs the core standards and protocols that enable agents to operate interoperably across platforms. Through transparent governance and broad industry participation, AAIF is driving adoption and ensuring agentic AI infrastructure evolves openly, predictably, and at production scale. For more information, please visit aaif.io.

###

Media Contact
Agentic AI Foundation PR
pr@aaif.io
 

About The Linux Foundation

The Linux Foundation is the world’s leading home for collaboration on open source software, hardware, standards, and data. Linux Foundation projects are critical to the world’s infrastructure including Linux, Kubernetes, Node.js, ONAP, OpenChain, OpenSSF, OpenStack, PyTorch, RISC-V, SPDX, Zephyr, and more. The Linux Foundation is focused on leveraging best practices and addressing the needs of contributors, users, and solution providers to create sustainable models for open collaboration. For more information, please visit us at linuxfoundation.org.

For a list of trademarks of The Linux Foundation, please see its trademark usage page: linuxfoundation.org/trademark-usage. Linux is a registered trademark of Linus Torvalds.

Originally published by MIT Technology Review Insights
In partnership with Everpure

Loudoun County, Virginia, once known for its pastoral scenery and proximity to Washington, DC, has earned a more modern reputation in recent years: The area has the highest concentration of data centers on the planet.

Ten years ago, these facilities powered email and e-commerce. Today, thanks to the meteoric rise in demand for AI-infused everything, local utility Dominion Energy is working hard to keep pace with surging power demands. The pressure is so acute that Dulles International Airport is constructing the largest airport solar installation in the country, a highly visible bid to bolster the region’s power mix.

DOWNLOAD THE REPORT

Data center campuses like Loudoun’s are cropping up across the country to accommodate an insatiable appetite for AI. But this buildout comes at an enormous cost. In the US alone, data centers consumed roughly 4% of national electricity in 2024. Projections suggest that figure could stretch to 12% by 2028. To put this in perspective, a single 100-megawatt data center consumes roughly as much electricity as 80,000 American homes. Data centers being built today are gearing up for gigawatt scale, enough to power a mid-sized city.

For enterprise leaders, energy costs associated with AI and data infrastructure are quickly becoming both a budget concern and a potential bottleneck on growth. Meeting this moment calls for a capability most organizations are only beginning to develop: energy intelligence. The emerging discipline refers to understanding where, when, and why energy is consumed, and using that insight to optimize operations and control costs.

These efforts stand to address both immediate financial pressures and longer-term reputational risks, as communities like Loudoun County grow increasingly concerned about the energy demands associated with nearby data center development.

In December 2025, MIT Technology Review Insights conducted a survey of 300 executives to understand how companies are thinking about energy intelligence today, as well as where they’re anticipating challenges in the future.

Here are five of our most notable findings:

• Energy intelligence is becoming a universal business priority. One hundred percent of executives surveyed expect the ability to measure and strategically manage power consumption to become an important business metric in the next two years.
• AI workloads are already driving measurable cost increases, and the surge is just beginning. Two-thirds of executives (68%) report their companies have faced energy cost increases of 10% or more in the past 12 months due to AI and data workloads. Nearly all respondents (97%) anticipate their organization’s AI-related energy consumption will increase over the next 12-18 months.
• Mounting costs are the top energy-related threat to AI innovation. Half of executives (51%) rank rising costs as the single greatest energy-related risk to their digital and AI initiatives. Most companies currently tracking and attempting to optimize data center energy consumption are motivated by cost management.
• Organizations are responding through infrastructure optimization and energy-efficient partnerships. To address mounting energy demands, three in four leaders (74%) are optimizing existing infrastructure, while 69% are partnering with energy-efficient cloud and storage providers. More than half are also implementing AI workload scheduling (61%) and investing in more efficient hardware (56%).
• Closing the measurement gap is the next frontier. Most enterprises still lack the granular data needed for true energy intelligence. This gap is especially pronounced for companies relying on third-party cloud providers and managed services for their data compute and storage needs, where 71% say rising consumption-based costs originate, yet energy metrics are often opaque.

Download the full report.

This content was produced by Insights, the custom content arm of MIT Technology Review. It was not written by MIT Technology Review’s editorial staff. It was researched, designed, and written by human writers, editors, analysts, and illustrators. This includes the writing of surveys and collection of data for surveys. AI tools that may have been used were limited to secondary production processes that passed thorough human review.

Originally published by MIT Technology Review Insights
In partnership with Everpure

Loudoun County, Virginia, once known for its pastoral scenery and proximity to Washington, DC, has earned a more modern reputation in recent years: The area has the highest concentration of data centers on the planet.

Ten years ago, these facilities powered email and e-commerce. Today, thanks to the meteoric rise in demand for AI-infused everything, local utility Dominion Energy is working hard to keep pace with surging power demands. The pressure is so acute that Dulles International Airport is constructing the largest airport solar installation in the country, a highly visible bid to bolster the region’s power mix.

DOWNLOAD THE REPORT

Data center campuses like Loudoun’s are cropping up across the country to accommodate an insatiable appetite for AI. But this buildout comes at an enormous cost. In the US alone, data centers consumed roughly 4% of national electricity in 2024. Projections suggest that figure could stretch to 12% by 2028. To put this in perspective, a single 100-megawatt data center consumes roughly as much electricity as 80,000 American homes. Data centers being built today are gearing up for gigawatt scale, enough to power a mid-sized city.

For enterprise leaders, energy costs associated with AI and data infrastructure are quickly becoming both a budget concern and a potential bottleneck on growth. Meeting this moment calls for a capability most organizations are only beginning to develop: energy intelligence. The emerging discipline refers to understanding where, when, and why energy is consumed, and using that insight to optimize operations and control costs.

These efforts stand to address both immediate financial pressures and longer-term reputational risks, as communities like Loudoun County grow increasingly concerned about the energy demands associated with nearby data center development.

In December 2025, MIT Technology Review Insights conducted a survey of 300 executives to understand how companies are thinking about energy intelligence today, as well as where they’re anticipating challenges in the future.

Here are five of our most notable findings:

• Energy intelligence is becoming a universal business priority. One hundred percent of executives surveyed expect the ability to measure and strategically manage power consumption to become an important business metric in the next two years.
• AI workloads are already driving measurable cost increases, and the surge is just beginning. Two-thirds of executives (68%) report their companies have faced energy cost increases of 10% or more in the past 12 months due to AI and data workloads. Nearly all respondents (97%) anticipate their organization’s AI-related energy consumption will increase over the next 12-18 months.
• Mounting costs are the top energy-related threat to AI innovation. Half of executives (51%) rank rising costs as the single greatest energy-related risk to their digital and AI initiatives. Most companies currently tracking and attempting to optimize data center energy consumption are motivated by cost management.
• Organizations are responding through infrastructure optimization and energy-efficient partnerships. To address mounting energy demands, three in four leaders (74%) are optimizing existing infrastructure, while 69% are partnering with energy-efficient cloud and storage providers. More than half are also implementing AI workload scheduling (61%) and investing in more efficient hardware (56%).
• Closing the measurement gap is the next frontier. Most enterprises still lack the granular data needed for true energy intelligence. This gap is especially pronounced for companies relying on third-party cloud providers and managed services for their data compute and storage needs, where 71% say rising consumption-based costs originate, yet energy metrics are often opaque.

Download the full report.

This content was produced by Insights, the custom content arm of MIT Technology Review. It was not written by MIT Technology Review’s editorial staff. It was researched, designed, and written by human writers, editors, analysts, and illustrators. This includes the writing of surveys and collection of data for surveys. AI tools that may have been used were limited to secondary production processes that passed thorough human review.

Originally published by MIT Technology Review Insights
In partnership with Everpure

Loudoun County, Virginia, once known for its pastoral scenery and proximity to Washington, DC, has earned a more modern reputation in recent years: The area has the highest concentration of data centers on the planet.

Ten years ago, these facilities powered email and e-commerce. Today, thanks to the meteoric rise in demand for AI-infused everything, local utility Dominion Energy is working hard to keep pace with surging power demands. The pressure is so acute that Dulles International Airport is constructing the largest airport solar installation in the country, a highly visible bid to bolster the region’s power mix.

DOWNLOAD THE REPORT

Data center campuses like Loudoun’s are cropping up across the country to accommodate an insatiable appetite for AI. But this buildout comes at an enormous cost. In the US alone, data centers consumed roughly 4% of national electricity in 2024. Projections suggest that figure could stretch to 12% by 2028. To put this in perspective, a single 100-megawatt data center consumes roughly as much electricity as 80,000 American homes. Data centers being built today are gearing up for gigawatt scale, enough to power a mid-sized city.

For enterprise leaders, energy costs associated with AI and data infrastructure are quickly becoming both a budget concern and a potential bottleneck on growth. Meeting this moment calls for a capability most organizations are only beginning to develop: energy intelligence. The emerging discipline refers to understanding where, when, and why energy is consumed, and using that insight to optimize operations and control costs.

These efforts stand to address both immediate financial pressures and longer-term reputational risks, as communities like Loudoun County grow increasingly concerned about the energy demands associated with nearby data center development.

In December 2025, MIT Technology Review Insights conducted a survey of 300 executives to understand how companies are thinking about energy intelligence today, as well as where they’re anticipating challenges in the future.

Here are five of our most notable findings:

• Energy intelligence is becoming a universal business priority. One hundred percent of executives surveyed expect the ability to measure and strategically manage power consumption to become an important business metric in the next two years.
• AI workloads are already driving measurable cost increases, and the surge is just beginning. Two-thirds of executives (68%) report their companies have faced energy cost increases of 10% or more in the past 12 months due to AI and data workloads. Nearly all respondents (97%) anticipate their organization’s AI-related energy consumption will increase over the next 12-18 months.
• Mounting costs are the top energy-related threat to AI innovation. Half of executives (51%) rank rising costs as the single greatest energy-related risk to their digital and AI initiatives. Most companies currently tracking and attempting to optimize data center energy consumption are motivated by cost management.
• Organizations are responding through infrastructure optimization and energy-efficient partnerships. To address mounting energy demands, three in four leaders (74%) are optimizing existing infrastructure, while 69% are partnering with energy-efficient cloud and storage providers. More than half are also implementing AI workload scheduling (61%) and investing in more efficient hardware (56%).
• Closing the measurement gap is the next frontier. Most enterprises still lack the granular data needed for true energy intelligence. This gap is especially pronounced for companies relying on third-party cloud providers and managed services for their data compute and storage needs, where 71% say rising consumption-based costs originate, yet energy metrics are often opaque.

Download the full report.

This content was produced by Insights, the custom content arm of MIT Technology Review. It was not written by MIT Technology Review’s editorial staff. It was researched, designed, and written by human writers, editors, analysts, and illustrators. This includes the writing of surveys and collection of data for surveys. AI tools that may have been used were limited to secondary production processes that passed thorough human review.