The rise of artificial intelligence is reshaping the landscape for training young people in developing countries for remote software-related jobs in developed nations, according to Ndubuisi Ekekwe, CEO of Famiscro Group. In a recent Facebook post, Ekekwe highlighted how AI is increasingly automating traditional software development tasks, signaling a potential decline in the coding boom that has gained traction in countries like Nigeria.
Ekekwe noted a noticeable drop in advertisements for coding schools and camps, which he believes reflects AI’s growing influence on the industry. He pointed out that coding is becoming less essential, as many developers in leading tech companies are “coding themselves out of jobs” due to AI’s integration into their teams. This shift, he argued, means that future opportunities will lie more in building algorithms than in traditional coding as AI continues to evolve.
Ekekwe also emphasized the importance of mathematics, describing it as the “beautiful science of numbers” and a foundational element in understanding natural philosophy.
AI-powered coding tools such as ChatGPT, GitHub Copilot, CodiumAI, Codiumate, and Amazon CodeWhisperer are rapidly transforming the coding landscape by automating code generation, shortening development timelines, and producing high-quality, executable code.
Jensen Huang, CEO of Nvidia, echoed this sentiment, stating that children no longer need to learn to code, as AI will take over that role. Speaking at the World Government Summit in Dubai, he suggested that the focus should shift away from coding towards other areas of technology.
However, cybersecurity consultant Francis Nwebonyi urged caution, advising that while AI is revolutionizing tech, young people in developing countries must still understand the underlying principles, including coding. He stressed the importance of mastering data structures for achieving meaningful results in tech and AI jobs, cautioning that solely relying on AI without a deep understanding of these fundamentals could lead to poor outcomes.
Nwebonyi concluded by encouraging young people to go beyond basic coding skills and to focus on understanding data structures, which will remain crucial in optimizing technology and achieving success in the AI-driven future.
