The real AI gold rush isn't about building infrastructure, but rather about developing applications that utilize AI to solve real-world problems. According to Rajiv Nair, Public Sector Governance Adviser at the Commonwealth Secretariat, AI models will become a low-margin utility, similar to electricity or telecommunications. The true value lies in creating applications that harness AI's analytical and creative capabilities to address specific challenges.
Building AI infrastructure is costly, especially for developing countries. However, developing applications on top of existing AI infrastructure is more feasible and offers added value. By building applications on existing AI infrastructure, developers can create cost-effective solutions that are tailored to specific problems and industries.
Nair draws parallels with the telecommunications revolution, where infrastructure investments enabled applications like Google, Amazon, and Uber to flourish. Similarly, AI infrastructure will enable a new wave of applications that can drive innovation and growth. By focusing on application development, countries and organizations can harness the power of AI to create value and solve complex problems.
This approach allows for customization, solving real-world problems, and leveraging AI's capabilities to drive innovation. As AI continues to evolve, it's likely that the most significant opportunities will lie in developing applications that utilize AI to create value and solve complex problems.
