Society
New Report Highlights Pathways to Inclusive Economic Growth through AI
The WEF’s report offers key strategies for addressing equity concerns, tailoring AI solutions to local needs, and driving sustainable, long-term economic growth.

The World Economic Forum (WEF) has released a comprehensive new report that explores how artificial intelligence (AI) can foster inclusive economic growth and societal progress. While AI has the potential to reshape economies and societies, the report underscores the significant challenge of ensuring that its benefits are shared equitably across the globe. The WEF’s report offers key strategies for addressing equity concerns, tailoring AI solutions to local needs, and driving sustainable, long-term economic growth.
Titled Blueprint for Intelligent Economies, the report was developed in collaboration with KPMG and provides a roadmap for governments, businesses, and other stakeholders to advance AI adoption at the national, regional, and global levels. Part of the Forum’s AI Competitiveness through Regional Collaboration Initiative, the report aims to tackle disparities in AI access, infrastructure, computing capabilities, and skills.
“We must recognize that while leveraging AI for economic growth and societal progress is a shared goal, countries and regions start from very different positions,” said Cathy Li, Head of AI, Data, and the Metaverse at the World Economic Forum. “This blueprint serves as a compass, guiding decision-makers toward impact-oriented collaboration and practical solutions that can unlock AI’s full potential.”
National and Regional Collaboration Key to Success
Central to the report’s findings is the emphasis on designing AI strategies that involve a wide range of stakeholders—including governments, businesses, entrepreneurs, civil society, and end-users. Such strategies must be locally driven, supported by high-level leadership, and developed in close consultation with communities to address pressing issues like governance, data privacy, and the impact of AI policies on innovation and investment.
“The significant potential of AI remains largely untapped in many regions worldwide. Establishing an inclusive and competitive AI ecosystem will become a crucial priority for all nations,” remarked Solly Malatsi, Minister of Communications and Digital Technologies of South Africa. “Collaboration among multiple stakeholders at the national, regional, and global levels will be essential in fostering growth and prosperity through AI for everyone.”
Tailored Frameworks for AI Development
The Blueprint for Intelligent Economies draws on global expertise to offer tailored frameworks for nations at different stages of AI development. The report highlights how successful solutions from other regions can be adapted to overcome local challenges. For instance, sharing AI infrastructure and energy resources across regions can alleviate national resource limitations, while centralized data banks can ensure local datasets reflect the diverse needs of communities. Public-private partnerships can also make AI-ready devices more affordable, allowing local innovators to scale their operations.
“All nations have a unique opportunity to advance their economic and societal progress through AI,” said Hatem Dowidar, CEO of E&. “This requires a collaborative approach with intentional leadership from governments, supported by active engagement from all stakeholders at all stages of the AI journey. Regional and global collaborations remain fundamental to addressing shared challenges and ensuring equitable access to key AI capabilities.”
Top Strategic Objectives for AI Development
The report outlines nine strategic objectives to guide AI strategies globally, focusing on three top priorities:
- Building Sustainable AI Infrastructure: Developing secure, scalable, and environmentally responsible AI systems is essential for unlocking growth. However, this requires significant investment and cross-sector collaboration.
- Curating Diverse and High-Quality Datasets: Data is critical to developing fair, accurate, and equitable AI models. Overcoming challenges like data accessibility, imbalance, and ownership is key to creating datasets that reflect the diversity of populations.
- Establishing Robust Ethical and Safety Guardrails: Ethical frameworks and safety standards are necessary to ensure that AI benefits society while minimizing risks. Preventing misuse and promoting responsible development will help build public trust in AI.
The report advocates for a multi-layered approach to advancing these objectives, starting with a focus on sustainable infrastructure and energy use, followed by embedding AI across sectors to drive innovation, and ending with a people-centered approach that prioritizes workforce empowerment and ethical governance.
Public-Private Partnerships Critical for Global AI Adoption
The WEF report also underscores the importance of collaboration between the public and private sectors to accelerate AI adoption. Governments, by implementing supportive policies and incentivizing continuous learning, can unlock AI’s potential as a growth engine and ensure that workers thrive in an AI-powered world.
In support of this vision, the AI Governance Alliance is launching Regional AI Activation Networks. These initiatives, set to roll out across the Middle East, Africa, and Southeast Asia throughout 2025, aim to deliver tailored programs that enhance AI capabilities, promote local data governance, and foster resilient AI value chains in regional ecosystems.
With this new report, the World Economic Forum continues to drive the conversation on how to harness AI for equitable growth, ensuring that no region or community is left behind as the world moves into an increasingly AI-powered future.
Society
INM: MIT’s Bold Push to Regain America’s Productive Edge
The ambitious initiative aims at reinvigorating U.S. manufacturing with cutting-edge innovation

In a move to reshape the future of American industry, the Massachusetts Institute of Technology (MIT) has launched its Initiative for New Manufacturing (INM), an Institute-wide effort aimed at revitalizing U.S. manufacturing through next-generation technologies, research, education, and deep collaboration with industry.
Announced today, INM seeks to strengthen key sectors of the U.S. economy and spark nationwide job creation. The initiative will bring together MIT’s extensive research capabilities and educational resources to help companies of all sizes increase productivity and build a more resilient and human-centered manufacturing landscape.
“We want to work with firms big and small, in cities, small towns and everywhere in between, to help them adopt new approaches for increased productivity,” MIT President Sally A. Kornbluth wrote in a letter to the Institute community this morning. “We want to deliberately design high-quality, human-centered manufacturing jobs that bring new life to communities across the country.”
“We want to work with firms big and small, in cities, small towns and everywhere in between, to help them adopt new approaches for increased productivity
Kornbluth emphasized the significance of the effort, stating in a media statement: “Helping America build a future of new manufacturing is a perfect job for MIT — and I’m convinced that there is no more important work we can do to meet the moment and serve the nation now.”
Industry Collaboration
INM has already attracted strong industry support, with its first five founding consortium members — Amgen, GE Vernova, PTC, Siemens, and Sanofi — joining forces to fund initial research projects, particularly in the area of artificial intelligence for manufacturing.
“There is tremendous opportunity to bring together a vibrant community working across every scale — from nanotechnology to large-scale manufacturing,” said Anantha Chandrakasan, MIT’s chief innovation and strategy officer and dean of engineering. “MIT is uniquely positioned to harness the transformative power of digital tools and AI to shape the future of manufacturing.”
The initiative will support research, education, and real-world applications — including new manufacturing labs, a “factory observatory” program to connect students with live production sites, and thematic pillars ranging from semiconductors and biomanufacturing to defense and aviation.
Workforce development is also central to INM’s mission. It will include TechAMP, a program designed to bridge the gap between technicians and engineers through collaboration with community colleges, along with AI-powered teaching tools and expanded manufacturing education on campus.
The initiative is co-directed by three MIT faculty: John Hart, head of mechanical engineering; Suzanne Berger, an Institute Professor and political scientist; and Chris Love, professor of chemical engineering. Julie Diop serves as executive director.
At a recent MIT symposium titled “A Vision for New Manufacturing,” Berger underscored the urgency of the moment: “The rationale for growing and transforming U.S. manufacturing has never been more urgent than it is today. What we are trying to build at MIT now is not just another research project. … Together, with people in this room and outside this room, we’re trying to change what’s happening in our country.”
Love added: “We need to think about the importance of manufacturing again, because it is what brings product ideas to people… There is a real urgency about this issue for both economic prosperity and creating jobs.”
Echoing the sentiment, Hart emphasized the long-term significance of the initiative: “While manufacturing feels very timely today, it is of enduring importance… Working with industry — from small to large companies, and from young startups to industrial giants — will be instrumental to creating impact and realizing the vision for new manufacturing.”
A Continuum of Commitment
INM builds on a legacy of MIT initiatives aimed at supporting manufacturing, including the 1989 book Made in America, the Production in the Innovation Economy project, and The Engine, a venture fund launched in 2016 to back hardware-based startups.
As Kornbluth noted in her letter, “We want to reimagine manufacturing technologies and systems to advance fields like energy production, health care, computing, transportation, consumer products, and more… and we want to reach well beyond the shop floor to tackle challenges like how to make supply chains more resilient, and how to inform public policy to foster a broad, healthy manufacturing ecosystem that can drive decades of innovation and growth.”
With its launch, MIT’s Initiative for New Manufacturing marks a renewed commitment to restoring American manufacturing leadership through innovation, collaboration, and education — aimed squarely at building a stronger, more equitable industrial future.
EDUNEWS & VIEWS
Harvard Pledges $250 Million for Research After Federal Funding Slash
The administration has defended the funding freeze as part of a broader campaign to address what it characterizes as pervasive anti-Semitism on campuses and to roll back diversity programs

Harvard University has announced a $250 million investment to sustain vital research programs in the face of steep federal funding cuts imposed by the Trump administration.
The move follows a sweeping $2.6 billion reduction in government grants to the Ivy League institution, citing alleged discriminatory practices and refusal to comply with federal oversight mandates. The cuts, which Harvard is actively challenging in court, have already suspended or canceled dozens of projects—some of which were considered critical to public health and technological innovation.
University President Alan Garber and Provost John Manning issued a joint statement on Wednesday, emphasizing the urgent need to protect research initiatives. “While we cannot fully offset the financial blow from halted federal support, we are committed to backing essential research during this transitional period,” they said. The university is also working with faculty to secure alternative funding channels.
Harvard has strongly criticized the federal measures, calling the termination of grants “unlawful” and accusing the administration of interfering with academic independence. The university contends that the loss of funding not only halts groundbreaking work but also threatens years of scientific progress.
At the heart of the dispute is a broader political clash over university governance. Harvard, whose endowment reached $53.2 billion in 2024, has become a focal point of the Trump administration’s efforts to reshape higher education policy. The White House has demanded greater control over admissions, hiring, and the political climate on campus—demands Harvard has resisted.
The administration has defended the funding freeze as part of a broader campaign to address what it characterizes as pervasive anti-Semitism on campuses and to roll back diversity programs. Critics argue these moves are part of a larger effort to suppress progressive academic culture and penalize dissent over U.S. foreign policy, especially in light of recent student protests against the war in Gaza.
In recent weeks, federal authorities have also taken steps to revoke visas of international students involved in these demonstrations, accusing them of ties to militant organizations—allegations civil rights groups and university leaders have strongly disputed.
With tensions between the federal government and top academic institutions mounting, Harvard’s legal challenge could set a precedent for how universities navigate political interference while safeguarding research, free speech, and academic autonomy.
Health
Robot Helps Elderly Sit, Stand, and Stay Safe from Falls
The innovation comes at a time when the United States faces a dramatic demographic shift

As America’s population ages faster than ever before, a team of engineers at MIT is turning to robotics to meet the growing eldercare crisis. Their latest invention, the Elderly Bodily Assistance Robot—or E-BAR—aims to provide critical physical support to seniors navigating life at home, potentially reducing the risk of injury and relieving pressure on a strained care system.
The innovation comes at a time when the United States faces a dramatic demographic shift. The nation’s median age has climbed to 38.9, nearly ten years older than in 1980. By 2050, the number of adults over 65 is projected to surge from 58 million to 82 million. As demand for care rises, the country is simultaneously grappling with shortages in care workers, escalating healthcare costs, and evolving family structures that leave many elderly adults without daily support.
“Eldercare is the next great challenge,” said Roberto Bolli, a graduate student in MIT’s Department of Mechanical Engineering and one of E-BAR’s lead designers, in a media statement. “All the demographic trends point to a shortage of caregivers, a surplus of elderly persons, and a strong desire for elderly persons to age in place.”
E-BAR is designed to address exactly that challenge. The mobile robot acts as a robotic support system, following a user from behind and offering both steadying handlebars and rapid intervention in case of a fall. It can support a person’s full weight and includes side airbags that inflate instantly to catch users if they begin to fall—without requiring them to wear any equipment or harnesses.
“Many older adults underestimate the risk of fall and refuse to use physical aids, which are cumbersome, while others overestimate the risk and may not exercise, leading to declining mobility,” said Harry Asada, the Ford Professor of Engineering at MIT, in a media statement. “Our design concept is to provide older adults having balance impairment with robotic handlebars for stabilizing their body. The handlebars go anywhere and provide support anytime, whenever they need.”
The robot consists of a heavy, 220-pound base equipped with omnidirectional wheels, allowing it to maneuver easily through typical home spaces. From its base, articulated bars extend and adjust to assist users in standing or sitting, and the handlebars provide a natural, unrestrictive grip. In testing, E-BAR successfully helped an older adult complete everyday movements such as bending, reaching, and even stepping over the edge of a bathtub.
“Seeing the technology used in real-life scenarios is really exciting,” said Bolli.
The team’s design, which will be presented later this month at the IEEE Conference on Robotics and Automation (ICRA), aims to eliminate the physical constraints and stigmas often associated with eldercare devices. Their approach prioritizes both independence and safety—key values for aging Americans seeking to remain in their homes longer.
While E-BAR currently operates via remote control, the team plans to add autonomous capabilities and streamline the device’s design for home and facility use. The researchers are also exploring ways to integrate fall-prediction algorithms, developed in a parallel project in Asada’s lab, to adapt robotic responses based on a user’s real-time risk level.
“Eldercare conditions can change every few weeks or months,” Asada noted. “We’d like to provide continuous and seamless support as a person’s disability or mobility changes with age.”
As the nation prepares for the realities of an aging population, MIT’s work offers a glimpse into a future where robotics play a central role in eldercare—enhancing both quality of life and personal dignity for millions of older adults.
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