How IBM and UNDP are using AI to map those who still live without renewable energy and accelerate solutions that promise to transform local economies and reduce deep inequalities.

Access to renewable energy remains one of the biggest global challenges. Even with technological advancements, millions of people still live without reliable electricity. UNDP data indicates that over 1 billion people face energy poverty, which limits development in various areas.

In light of this scenario, the partnership with IBM has been transforming the way governments understand and tackle the problem. The application of Artificial Intelligence and geospatial analysis allows for precise identification of those still out of reach of modern energy.

According to IBM’s official publication, more than just mapping data, the use of AI creates pathways for more efficient decision-making. This means directing investments strategically, accelerating access to renewable energy, and reducing deep inequalities.

ARTICLE CONTINUES BELOW

The silent challenge of energy poverty in the current century

Lack of access to energy is not just a technical issue. It is a structural problem that directly affects quality of life. Without electricity, entire communities face limitations in access to health, education, and economic opportunities.

Among the main impacts are:

Difficulty in the functioning of hospitals and basic services
Limitations in education and access to information
Low productivity in economic activities
Digital and technological exclusion

Although many countries present positive data at the national level, these statistics often hide regional inequalities. Rural and peripheral areas continue to be the most affected.

It is in this context that UNDP begins to integrate solutions based on Artificial Intelligence, with the support of IBM, to make these gaps visible and act with greater precision.

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How IBM’s Artificial Intelligence Strengthens UNDP Decisions

The collaboration between IBM and UNDP represents an important advance in the use of data for sustainable development. Artificial Intelligence allows for the cross-referencing of large volumes of information and generates detailed analyses on a global scale.

These solutions combine:

High-resolution geospatial data
Demographic and socioeconomic information
Infrastructure and land use indicators
Climate risk analyses

With the use of AI, models can identify invisible patterns in traditional analyses. This helps governments understand not only where renewable energy is lacking but also why this is happening.

IBM’s work, with platforms like watsonx.ai and cloud infrastructure, enables this large-scale processing. Meanwhile, UNDP contributes local knowledge and coordination with governments.

Clean Energy Equity Index and the Use of AI to Reveal Energy Inequalities

One of the main tools developed in this partnership is the Clean Energy Equity Index. The model uses Artificial Intelligence to map regions where investments in renewable energy can generate greater social impact.

The index considers multiple factors at once, including:

Potential for clean energy generation
Socioeconomic needs
Available infrastructure
Climate vulnerability

As a result, the system provides a more comprehensive view of reality. The model already represents about 1.5 billion people, allowing for detailed analyses of energy inequality.

Another important differential is the possibility of customization. Through interactive dashboards, users can adjust criteria and simulate scenarios, making the decision-making process more dynamic.

This approach reinforces the role of AI as an essential tool to promote equity in access to renewable energy.

Forecasting access to renewable energy with AI on a global scale

In addition to current mapping, the partnership between IBM and UNDP also focuses on forecasting future energy scenarios. The Electricity Access Forecasting model uses Artificial Intelligence to project electricity access by 2030.

The technology operates at a resolution of up to 1 km, analyzing detailed data from different regions. The system covers 102 countries, including areas in Africa, Asia-Pacific, Latin America, and the Middle East.

Unlike traditional methods, this solution allows:

Anticipating regions that may remain without power
Assessing the impacts of different public policies
Identifying risks before they become larger problems

The combination of historical data with future projections makes AI a strategic ally. With the support of IBM, UNDP can provide governments with more accurate tools to efficiently expand renewable energy.

The impact of expanding renewable energy goes far beyond providing electricity. When communities gain access to energy, various transformations occur simultaneously.

Among the main benefits are:

Creation of local jobs
Encouragement of entrepreneurship
Improvement in public services
Increase in quality of life

Artificial Intelligence plays a central role in this process by ensuring that investments reach the right regions. Instead of general decisions, governments act based on concrete data.

The joint efforts of IBM and UNDP demonstrate that technology and development can go hand in hand. The use of AI allows for faster results and a more consistent reduction of inequalities.

Data-driven energy planning and Artificial Intelligence

Data-driven decision making is one of the pillars of this transformation. With the use of Artificial Intelligence, energy planning becomes more accurate and efficient.

The developed dashboards allow public managers to:

Visualize data in real-time
Compare different regions
Simulate investment scenarios
Assess climate risks

This level of detail strengthens governance and reduces uncertainties. AI allows decisions to be made based on evidence, not just estimates.

In this context, IBM‘s contribution goes beyond technology. The company helps structure scalable solutions, while UNDP ensures practical application in countries.

Local capacity building and the advancement of AI in access to renewable energy

Another important point of the partnership is the development of local capacities. It is not enough to offer technology. It is essential to ensure that governments and teams know how to use it effectively.

Therefore, UNDP and IBM invest in:

Technical training in Artificial Intelligence
Practical use of developed tools
Data integration in public policies

This process strengthens the autonomy of countries and ensures that the use of AI continues to evolve over time. Additionally, capacity building contributes to decisions that are more aligned with local realities, increasing the impact of renewable energy initiatives.

The future of renewable energy with AI, IBM, and UNDP at the center of global decisions

The partnership between IBM and UNDP demonstrates that the future of renewable energy is directly linked to the intelligent use of data. Artificial Intelligence allows us to see previously invisible problems and create more effective solutions.

With tools that already cover 102 countries and analyze data from up to 1.5 billion people, the impact of these initiatives is expected to grow in the coming years.

More than technological innovation, this approach represents a shift in the way development is conceived. AI becomes an ally in building fairer, more inclusive, and sustainable policies.

By combining technology, data, and international cooperation, IBM and UNDP show that it is possible to accelerate access to renewable energy and transform realities on a global scale.

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How IBM and UNDP are using AI to map those who still live without renewable energy and accelerate solutions that promise to transform local economies and reduce deep inequalities.

The silent challenge of energy poverty in the current century

How IBM’s Artificial Intelligence Strengthens UNDP Decisions

Clean Energy Equity Index and the Use of AI to Reveal Energy Inequalities

Forecasting access to renewable energy with AI on a global scale

Data-driven energy planning and Artificial Intelligence

Local capacity building and the advancement of AI in access to renewable energy

The future of renewable energy with AI, IBM, and UNDP at the center of global decisions

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How IBM and UNDP are using AI to map those who still live without renewable energy and accelerate solutions that promise to transform local economies and reduce deep inequalities.

Discover how IBM and UNDP apply Artificial Intelligence and AI to identify regions without renewable energy, guide strategic investments, and boost energy inclusion with advanced data and global social impact.

The silent challenge of energy poverty in the current century

How IBM’s Artificial Intelligence Strengthens UNDP Decisions

Clean Energy Equity Index and the Use of AI to Reveal Energy Inequalities

Forecasting access to renewable energy with AI on a global scale

Renewable energy as a driver of social inclusion and economic growth

Data-driven energy planning and Artificial Intelligence

Local capacity building and the advancement of AI in access to renewable energy

The future of renewable energy with AI, IBM, and UNDP at the center of global decisions

Scientists enter a narrow, flooded cave 500 meters deep and find giant dinosaur footprints on the ceiling measuring up to 1.25 meters, preserved in such a rare way that a new type of trace had to be created.

A giant half-ton ring fell in Kenya from space, and more than a year later, scientists still do not know where it came from.

In Botswana, a salt flat of up to 16,000 km² that was once an African megalake spends months as an absolute white desert, but during the rainy season it transforms into a shallow sea that reappears from nowhere and can be seen from space in the middle of southern Africa.

Seen from space, an image taken by an astronaut shows an unlikely oasis in the Saudi Arabian desert, protected by a terrain that slows the advance of sand, surrounded by green circles, remnants of an extinct lake and nearly 10,000 years of preserved history.

Map reveals how the Earth may look in 250 million years: continents will reunite in the Last Pangaea, 92% of the planet could become uninhabitable for mammals, and Spain appears among the rare possible exceptions.

For the first time, scientists have mapped the Etna magma system in almost real time and discovered where the volcano was storing large volumes of molten material before years of eruptions, revealing an underground reservoir that fills and reorganizes like a living organism beneath the mountain.

More than 1,500 Chinese workers transformed an entire railway station in just one night and reduced a 7-hour journey to 90 minutes with a high-speed line of 200 km/h.

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