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The AI industry has witnessed significant growth since the debut of ChatGPT in November 2022; according to the latest projections by Grand View research, this nascent market is estimated to hit $1.8 million in revenue by 2030.  But despite this bullish outlook, AI development is currently in the hands of a few corporations. A recently published article by the Financial Times indicated that Big Tech companies have lined up over $300 billion to be spent on the AI industry in 2025. Of course, this type of spending was expected given the ongoing AI race between prominent figures like Elon Musk and OpenAI’s Sam Altman as well as on a national level following China’s Deepseek latest strides.   The big question, however, is whether these key players, corporations or government authorities are best suited to drive the AI space forward?  This question has been a major topic of discussion in recent years as more digital users come to the realization that big tech has been reaping big by monetizing their data while they get the shorter end of the stick – mere entertainment, personalized connections or recommendations on the internet or social media platforms.   It is not any different with the current state of AI development. A few players such as OpenAI, Microsoft and Google have emerged as the frontrunners, thanks to their access to already existing large datasets for training. But can we trust these companies to provide a fair ecosystem for all the contributors in AI development?  For context, the AI data generation cycle includes several stakeholders; data providers, data generation platforms, AI infrastructure providers and AI model developers. Despite playing an integral role, data providers are the least compensated in this equation, not to mention the hurdles designed to play out against smaller players looking to contribute in the AI…

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Filed under: News - @ February 21, 2025 11:25 am