2025 will be the year for AI and there’s no two ways about it!
There’s no denying that the realm of artificial intelligence (AI) and its associated technologies have continued to gather an extraordinary level of momentum over the past year, with valuations reaching an impressive $638.23 billion recently.
Looking ahead, these numbers show no signs of slowing down, with regions like the U.S. market alone projected to reach a staggering $851.46 billion by 2034. Moreover, studies indicate that there has been a 270% increase in AI adoption from 2015 to 2019, with data indicating that by 2025, approximately 97 million people globally will be employed in AI-related roles.
However, beneath this impressive growth, a concerning reality has festered quite rapidly, one where the AI market as a whole seems to be controlled by the whims of a handful of tech giants, namely Microsoft, Amazon, and Google — leading to an unprecedented level of centralization.
This dominance not only relates to market share but also signals the control these organizations have over the very infrastructure that relates to AI’s future development. Every startup, research lab, and new market entrant must rely on the computing infrastructure provided by the aforementioned firms to train their systems, while also depending on these same companies' vast consumer reach for deployment and sales.
Breaking free and establishing a democratic AI ecosystem
In recent months, the increasing centralization of AI has sparked a growing debate amongst consumers who are now pushing for a more democratized, equitable landscape. In this regard, the use of blockchain tech has been promoted as a solution since it stands to not only transform the development of AI but also how the general public can access and benefit from this technology.
By leveraging the blockchain's inherent transparency and decentralized nature, it is possible to devise decentralized autonomous organizations (DAOs) specifically focused on AI development, where decisions about model training, deployment, and ethical guidelines can be made through community consensus rather than corporate mandates.
Such a collaborative approach not only diversifies the perspectives shaping AI development but also ensures that the technology evolves in alignment with broader societal needs and values, rather than solely serving corporate interests.
To help alleviate these bottlenecks, several projects have emerged. 0G, for example, has devised the Decentralized AI Operating System (deAIOS), which represents a quantum leap in how AI systems can be deployed and managed.
To elaborate, deAIOS enables the development and deployment of AI applications that are not only decentralized but also scalable and verifiable, all while maintaining performance levels comparable to centralized systems. By eliminating traditional overhead costs and infrastructure barriers, 0G has democratized access to AI technology.
Furthermore, by combining decentralized compute resources with infinitely scalable infrastructure, the platform is creating new possibilities for AI alignment and governance.
This approach addresses one of the fundamental challenges in modern AI development, i.e. the need for transparent, community-driven oversight of large-scale models (LLMs). Through blockchain integration, 0G enables a new paradigm where AI development is not just transparent but also accountable to the broader community.
Perhaps most significantly, 0G's approach to decentralized AI introduces novel funding models that stand to reshape the economic structure of existing AI development. Through the tokenization of AI models, individuals can now participate in fractional ownership, creating a more inclusive ecosystem where the benefits of AI advancement are shared more equitably.
Trust through transparency
For AI, the path forward hinges critically on rebuilding consumer trust, a challenge highlighted by recent data showing a significant decline in public confidence. According to the 2024 Edelman Trust Barometer, only 30% of people trust AI technology, representing an alarming 8% decrease globally and a steeper 15% decline in the United States since 2019.
Lastly, with 79% of Americans expressing little to no trust in businesses when it comes to using AI responsibly, the imperative for decentralization has become clear. By moving toward transparent, community-governed AI systems — like the ones offered by 0G — it is possible to address many of today’s trust concerns and create a future where AI truly serves the interests of all, not just a select few corporate entities.
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