AI companies are shifting away from relying on low-paid gig workers in Africa and Asia to train AI models. Instead, they are investing in building 'smarter' AI models that require less human input. This move involves employing more skilled workers for specific tasks, potentially displacing a large number of gig workers.
This transition reflects a drive to improve AI accuracy and reduce biases inherent in data generated through crowdsourcing. By focusing on higher-quality data and more sophisticated algorithms, companies aim to create AI systems that are more reliable and efficient. The shift could lead to significant changes in the AI training landscape, impacting the livelihoods of numerous individuals in developing countries who depend on gig work.
While some worry about job displacement, others suggest AI creates new opportunities for skilled workers who can integrate AI tools and provide human expertise. Demand is growing for roles such as prompt engineers who train AI to generate high-quality outputs. The long-term impact on the job market remains uncertain, but AI literacy and problem-solving skills will be crucial for workers adapting to the changing economy.
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