As Artificial intelligence (AI) drives transformation of economies, education, and global infrastructure, one of the most important questions to emerge in policy and technology discourse has become, Who is AI really for? In 2025, as companies are building out large-scale models, and governments are investing in national AI strategies, experts forewarn that the acceleration of AI will deepen existing inequities.
Informed inequalities range from the availability of digital access in Africa and Asia, to bias produced by algorithms in institutions in the West. The tension is no longer what can we do with AI , it is who gets to innovate, and who is left behind.
The Disparities of AI Access
A recent extensive survey from the Pew Research Center shows that the majority of adults across 25 countries are aware of AI, however, there remains cautious and even wary attitudes globally, where more people are concerned than excited about AI’s impact on their daily lives. Attitudes of optimism about the benefits of AI, generatively speaking, are particularly high in China (83%), Indonesia (80%), and Thailand (77%), but low in the U.S. and in Europe with concerns about job displacement, privacy, and bias.
Technological inequities are barriers to the broad rollout of AI with respect to issues with data literacy, connectivity, and localized infrastructure. While there are several non-profit initiatives like the Edison Alliance and campaigns derived from UNESCO proposals for ethical AI to bring the technology to the underserved, there remain significant access gaps. The access gaps create the risk that rural communities, marginalized groups, and low-income populations lack the potential benefits from employment, educational opportunities, and health care innovations that may derive from new AI technologies.
AI’s Transformative Potential, And Peril
Business has rapidly adopted AI in order to increase productivity, performance, and profit. Enterprise solutions are now embedding agentic AI – “virtual coworkers” that are able to plan, and execute multifaceted workflows, and autonomously take on the needs of an organization in support roles such as HR, IT, etc. The benefits to healthcare of AI are even more profound. AI is assisting in drug discovery, diagnostics, administrative efficiencies in healthcare, and promises the opportunity for robot-assisted surgical procedures.
Yet, many tech experts warn that the danger of over-reliance on AI will erode foundational human skills like empathy, critical thinking, and creative problem solving. The ethical quandaries of data bias, misinformation and surveillance have increased as AI systems replicate and amplify, existing inequities in society. Responsible innovation means constructing tools that address, rather than reinforce, biases and inequities.
Equity and Inclusion: Who is Being Excluded?
“AI equity isn’t a milestone to reach but a practice to sustain,” notes Candid’s latest nonprofit report. Real progress is not only about the accessibility to resources, but also the systems that promote equity, inclusion, and justice to the marginalized. It is vitally important governments and corporations actively create explicit policies, inclusive data, and collaborative governance.
Even the best efforts that connect organizations such as UNCESCO forums on AI ethics, and mobile learning platforms to remote areas remind us of actionable steps, but they also indicate that vigilance is necessary. Absent counteracting force, AI will simply be amplifying the digital divide and further widening the gap between some countries and communities and others.
AI for Who? The Way Forward
“AI for Who?” is more than a slogan, it is the foundation for a global tech practice. As generative and agentic AI shape the economy, collaborative robotics are constructed as a safer place to work, and personalized bots change healthcare, our responsibility to democratize the benefits has never been more urgent. All stakeholders, developers, policymakers, and end-users have a responsibility to respond to the impacts of AI on human rights, gender equity, and sustainability.
Ongoing conversation on a global scale, strong standards of practice, and ethical innovation are essential. At the same time the world seeks inclusive advancement, we must remain focused on developing AI systems to enable all the people, not just those with resources or privilege.
