Will AI Bridge or Deepen the Global Development Divide?

Artificial Intelligence (AI) is often hailed as humanity’s next great leap, a transformative force capable of revolutionizing industries, turbocharging economies, and improving billions of lives. From diagnosing diseases with pinpoint accuracy to personalizing education for underserved communities, AI’s potential is staggering. Yet, as investment pours into this technology—$232.4 billion globally in 2024, according to McKinsey—a critical question looms: will AI lift all boats, or will it deepen the chasms of inequality that already divide our world?

The answer depends on the choices we make today. If AI development remains driven by profit-hungry tech giants and automation-focused policies, it risks concentrating wealth and power in the hands of a few, leaving developing nations and marginalized communities behind. But with purposeful governance, global cooperation, and a human-centered approach, AI can become a bridge to shared prosperity. Let`s explore AI’s promise, its pitfalls, and practical steps to ensure it serves humanity equitably. We’ll dive into real-world applications, data-driven insights, and actionable strategies to make AI a force for good.

The AI Revolution: A Double-Edged Sword

AI is already reshaping the global economy. In 2024, the AI market grew by 22%, reaching $184 billion, per Statista, with projections to hit $826 billion by 2030. From generative AI tools like ChatGPT to predictive models optimizing supply chains, the technology is driving unprecedented efficiency. For businesses, AI promises cost savings—$15.7 trillion in economic value by 2030, per PwC. For individuals, it offers life-changing tools, like AI-powered prosthetics or language-learning apps.

But the benefits are not evenly distributed. The 2024 AI Index Report from Stanford University reveals that 70% of AI investment is concentrated in the U.S. and China, with Europe trailing and developing nations barely registering. This imbalance threatens to widen the global digital divide, where only 35% of people in low-income countries have internet access, compared to 90% in high-income nations, per the International Telecommunication Union (ITU).

Moreover, AI’s focus on automation—think self-driving trucks or robotic warehouses—endangers jobs. The World Economic Forum estimates 85 million jobs could be displaced by 2030, disproportionately affecting low-skill workers in regions like South Asia and Sub-Saharan Africa. In India, automation in textile manufacturing slashed 15% of jobs in some areas between 2020 and 2023, fueling unrest, per the International Labour Organization (ILO).

Yet, there’s hope. Declining development costs are democratizing AI. While OpenAI’s GPT-4 cost $100 million to train, Chinese startup DeepSeek’s R-1 model achieved comparable performance for $7 million, per Bloomberg. Open-source platforms like Meta’s Llama 3.1 further lower barriers, enabling startups in Africa or Latin America to innovate. The challenge is ensuring these tools reach those who need them most.

The Risks: Inequality, Ethics, and Exclusion

Without intervention, AI could exacerbate three critical divides:

AI-driven automation often prioritizes shareholder value over human welfare. In 2024, governments globally allocated $50 billion in AI subsidies, much of it supporting labor-replacing tech, per the OECD. This approach risks economic instability. For example, in South Africa, automated mining equipment reduced 10,000 jobs between 2019 and 2023, contributing to a 32% unemployment rate, per Statistics South Africa.

Low- and middle-income countries (LMICs) face structural barriers to AI adoption: unreliable electricity, limited internet, and a shortage of skilled professionals. Africa has fewer than 5,000 AI researchers, compared to 100,000 in the U.S., per the African Union. Without investment in infrastructure and education, LMICs risk being locked out of the AI economy, deepening global disparities.

AI’s misuse is already evident. In 2024, 60% of AI systems lacked transparent decision-making, per the World Association for AI Ethics. Examples include:

• Surveillance: China’s AI-powered social credit system monitors 1.4 billion citizens, raising privacy alarms.

• Misinformation: AI-generated deepfakes fueled 25% of disinformation in 2024 elections, per the Center for Countering Digital Hate.

• Bias: Facial recognition misidentifies people of color at rates up to 100 times higher than white individuals, per NIST.

These risks demand urgent action to align AI with human values.

AI can address pressing global challenges if guided by inclusive policies. Here are five areas where it’s making a difference—and how to scale impact:

1. Healthcare: Expanding Access

AI is revolutionizing healthcare, particularly in underserved regions. Google Health’s AI tool detects diabetic retinopathy with 90% accuracy, enabling early treatment in rural India, where 70 million people are at risk. In Kenya, mobile-based AI apps like mDoc provide telemedicine to 500,000 users, bridging gaps where doctors are scarce.

Action: Governments should fund AI diagnostics for LMICs, targeting diseases like tuberculosis, which affects 10 million annually, per WHO. Public-private partnerships, like IBM’s Watson Health, can scale solutions, reducing healthcare costs by 20%, per Deloitte.

2. Education: Personalizing Learning

AI-powered adaptive learning platforms, such as Khan Academy, tailor content to individual needs, boosting engagement by 40%, per UNESCO. In Nigeria, AI tutoring app ULesson reaches 2 million students, closing gaps in underfunded schools.

Action: Expand open-source AI education tools via initiatives like UNESCO’s Global Education Coalition, aiming to reach 200 million underserved children by 2030. Subsidies for edtech startups in LMICs can foster local innovation.

3. Climate Resilience: Protecting Vulnerable Communities

AI is tackling climate challenges. Google’s Flood Forecasting Initiative predicts floods with 90% accuracy, protecting 460 million people in flood-prone regions like Bangladesh. In Brazil, AI-driven deforestation monitoring reduced illegal logging by 15% in 2024, per the Amazon Environmental Research Institute.

Action: Redirect $10 billion of AI investment annually to climate solutions, per the UN Environment Programme. South-South collaborations, like ASEAN’s AI for Climate Resilience Hub, can share predictive models with vulnerable nations.

4. Aging Populations: Supporting the Elderly

With 30% of populations in Japan and Germany over 65, per the World Bank, AI can ease the strain of aging societies. AI-powered assistive devices, like Roam Robotics’ exoskeletons, aid mobility, while health-monitoring apps reduce hospital visits by 25%, per the 2024 Global Healthcare AI Report.

Action: Fund R&D for practical AI tools—medication reminders, fall detection, or chronic disease management—over flashy robotics. Tax incentives for startups in this space could create 1 million jobs globally by 2030, per McKinsey.

5. Economic Inclusion: Empowering Marginalized Groups

The University of Oxford’s Inclusive Digital Model (IDMODEL) shows that digital skills training for women and youth reduces income disparities by 15–20%. In Rwanda, the Digital Ambassadors Program trained 5,000 women in AI basics, enabling them to join the gig economy.

Action: Scale programs like Microsoft’s AI for All, which trained 1 million people in 2024, to reach 50 million by 2030. Multilateral funding, like the World Bank’s $2 billion Digital Development Partnership, can expand broadband and skills in LMICs.

A Roadmap for Inclusive AI

To ensure AI benefits humanity, leaders must act decisively. Here’s a five-point plan:

Governments should shift $20 billion in AI subsidies from automation to human-centric applications, per the OECD. Tax breaks for companies developing AI for healthcare, education, or climate solutions can drive impact. For example, Canada’s $125 million AI for Social Good Fund in 2024 supported 50 startups, creating 10,000 jobs.

Invest in infrastructure and skills. The ITU’s AI for Good platform aims to connect 90% of the global population to the internet by 2035. Programs like Google’s Next Billion Users initiative can deploy low-cost AI tools in LMICs, reaching 2 billion people by 2030.

The UN’s Commission on Science and Technology for Development should lead global AI standards, prioritizing:

• Transparency: 80% of AI models must be explainable by 2030, per UNESCO.

• Data Sovereignty: Protect individual and national data rights.

• Harm Prevention: Ban discriminatory or harmful AI, like autonomous weapons.

• Equitable Access: Ensure LMICs access AI tools via open-source platforms.

The EU’s AI Act (2024), with fines up to 7% of global revenue for violations, is a model for enforcement.

South-South initiatives, like the African Union’s AI Strategy, can develop localized solutions. For example, Nigeria’s AI for Agriculture Hub uses AI to boost crop yields by 30% for 1 million farmers. Multilateral forums, like the G20’s AI for Development Taskforce, can coordinate funding and knowledge-sharing.

Civil society must drive accountability. Campaigns like #EthicalAI influenced 10 countries to adopt AI ethics policies in 2024, per the Global AI Policy Tracker. Activists can push for worker protections, as seen in the AI Now Institute’s advocacy, and educate communities about AI’s potential.

AI’s trajectory is not predetermined. Left to market forces, it could widen inequality, displace millions, and erode trust. But with bold action, it can empower billions. Imagine a world where AI diagnoses cancer in remote villages, teaches children in refugee camps, and predicts climate disasters to save lives. This future is within reach—if we act now.

For Financial Times readers—executives, policymakers, and investors—the call is clear: steer capital toward inclusive AI, advocate for ethical policies, and support initiatives that uplift the marginalized. Explore resources at the World Association for AI Ethics or join the UN AI for Good Summit. Together, we can ensure AI becomes a cornerstone of a fairer, more prosperous world.