How can developing countries catch up with the AI revolution and achieve a major economic leap before it's too late?

How can developing countries catch up with the artificial intelligence wave before it's too late?

In a world where innovations are accelerating at an unprecedented pace, it seems that artificial intelligence (AI) is the train that no one should miss. But the big question that arises today is:? 

Can developing countries, with their limited resources, catch up with this fast-paced ride ? 

And if so, how can they do it?

In this article, we will delve deeply into this sensitive topic, discussing the challenges, reviewing the opportunities, and laying out a practical roadmap inspired by successful global experiences. Let's start from the basics.

What is the importance of artificial intelligence for developing countries?

The importance of artificial intelligence for developing countries cannot be overstated. AI-based technologies hold the promise of improving healthcare services, developing education systems, enhancing food security, and stimulating economic growth. In fact, estimates indicate that artificial intelligence could add $15.7 trillion to the global economy by 2030, according to a PwC report.

Developing countries, if they make good use of this technology, can skip long stages of traditional development, just as some countries jumped directly into the mobile phone era without going through landlines.

The major challenges facing developing countries

Before discussing solutions, we must be frank: the road is not paved with roses. Here are the main obstacles:

1. Weak digital infrastructure:

Many developing countries still suffer from weak internet and electricity networks, not to mention the lack of modern data centers necessary for processing big data.

2. Lack of human competencies:

Artificial intelligence needs data scientists, engineers, and developers, and these skills are often rare and expensive in developing countries, leading to the phenomenon of "brain drain."

3. Weak financing:

AI projects require massive investments, whether in research and development or in infrastructure. Under economic pressures, governments may find it difficult to allocate appropriate budgets for this field.

4. Lack of local data:

Artificial intelligence relies on data. However, many developing countries lack reliable and updated databases, making it difficult to develop effective local solutions.

5. Legislation and Policies:

The legal regulation of new technology is usually delayed. This can lead to problems with data privacy and the security of using artificial intelligence.

How can developing countries catch up with the pace of artificial intelligence?

Despite all these challenges, there are practical and feasible ways that help developing countries benefit from the AI revolution. Let's review the most prominent strategies:

1. Smart investment in education and training:

One of the most important assets in the artificial intelligence economy is the human element. Therefore, governments should focus on

- Introducing data science and programming into the curriculum early.

- Establishing institutes and specialized training centers in artificial intelligence.

- Supporting local innovation and tech competitions to motivate young people.

A successful experience: 

Rwanda, despite its limited resources, has heavily invested in technological education, and today it is known as the "Silicon Valley of Africa."

2. Developing digital infrastructure:

An artificial intelligence economy cannot be built on a rotten foundation. It must:

- Improving access to high-speed internet at affordable prices.

- Establishing regional data centers.

- Providing incentives for the private sector to invest in infrastructure.

3. Adopting supportive policies and legislation:

There should be flexible and modern legal frameworks to regulate:

- Using and protecting data.

- Developing artificial intelligence in an ethical and sustainable manner.

- Encouraging innovation without restricting it with outdated regulations.

4. International Partnerships:

There is no shame in benefiting from the experiences of other countries. Developing countries can:

- It forms partnerships with global technology companies.

- You benefit from international support programs such as United Nations initiatives or the World Bank.

- Foreign investments in the technology sector are welcomed in exchange for conditions that enhance local capacity building.

5. Focusing on local solutions:

Instead of trying to copy what developed countries do, developing countries should focus on solutions that suit their environment and needs, such as

- Artificial intelligence for improving agriculture and combating diseases.

- Applications to improve transportation systems.

- Using AI to facilitate access to government services.

Inspiring examples: developing countries advancing in artificial intelligence.

Ethiopia:

Despite the challenges, Ethiopia launched a national plan for the development of artificial intelligence in 2020, focusing on health, education, and agriculture.

India:

Despite housing hundreds of millions below the poverty line, India has managed to become a global hub for programming and technical services thanks to smart investments in education and digital infrastructure.

Morocco:

Morocco has invested in establishing the Artificial Intelligence Institute (UM6P), which aims to graduate a new generation of programmers and researchers.

When will developing countries start leading global innovation?

It may seem unattainable to some, but the reality is that there are huge opportunities waiting for those with vision and determination. With technological advancements that have made access to technology cheaper than ever and with the availability of young human resources in many developing countries, the technological gap is no longer an inevitable fate.

The biggest challenge now is not the lack of resources, but the lack of bold vision and strong political will.

Summary: Will we miss the train or catch it?

Artificial intelligence is not just a luxury; it is a matter of survival and evolution. Those who delay adopting this revolution may find themselves outside the context of the new global economy. Developing countries need clear plans, smart investments, and strong international partnerships to secure their place in the future of artificial intelligence.

And the big question we conclude with is

In your opinion,

What is the first step that developing countries should take today to ensure they do not fall behind in the AI revolution?

We await your opinions and experiences in the comments!