Artificial Intelligence and its associated innovations have revamped the global technological landscape, with recent data released by the US government predicting 13% growth in IT-related opportunities over the next six years – potentially adding 667,600 new jobs to the sector.
Decentralising AI’s Foundations
While AI’s potential is seemingly limitless, its rapid growth has brought a challenge – the centralisation of AI development and data management. As AI systems become more sophisticated, risks like dataset manipulation, biased training models, and opaque decision-making processes threaten to undermine their potential. Different blockchain tech providers have taken steps to decentralise the sector, offering infrastructure frameworks that change how AI systems are developed, trained, and deployed.
Space and Time (SXT) has devised a verifiable database that aims to bridge the gap between disparate areas, providing users with transparent, secure development tools that mean AI agents can execute transactions with greater data integrity.
Chromia takes a similar approach, with a focus on creating a decentralised architecture to handle complex, data-intensive AI applications. "Our relational blockchain is specifically designed to support AI applications, performing hundreds of read-write operations per transaction and indexing data in real-time," said Yeou Jie Goh, Head of Business Development at Chromia.
Establishing a Roadmap for Technological Sovereignty
The synergy between AI and blockchain is more than a fad, rather, a reimagining of AI’s infrastructure. Space and Time is working to expand its ecosystem in multiple domains, including AI, DeFi, gaming, and decentralised physical infrastructure networks (DePIN). Its strategy focuses on onboarding developers and building a mainnet that delivers verifiable data to smart contracts and AI agents.
Conclusion
The implications of AI’s shift toward decentralisation are of significant interest to Nate Holiday, CEO of Space and Time. He predicts that blockchain-based transactions associated with AI agents could grow from the current 3% of the market to 30% in the near future. The transition is not just a technological innovation but a means of creating a more transparent, secure, and democratised technological ecosystem.
Frequently Asked Questions
Q: What is the potential growth of the AI sector?
A: The AI sector’s cumulative valuation may reach $3.6 trillion across industries by 2034.
Q: How is AI being used in the healthcare sector?
A: 38% of today’s major medical providers use AI-based diagnostic tools.
Q: What is the potential impact of AI on the financial sector?
A: AI is expected to contribute approximately $15.7 trillion to the global economy by 2030.
Q: What is the potential impact of AI on the retail sector?
A: The retail industry anticipates anywhere between $400 billion and $660 billion through AI-driven customer experiences annually.
Q: What is the role of blockchain in AI development?
A: Blockchain tech providers are working to decentralise AI development and data management, offering infrastructure frameworks that change how AI systems are developed, trained, and deployed.
