With a market value expected to reach over $1.3 trillion by 2030, Artificial Intelligence (AI) has revolutionized the way we work and make decisions. However, the rapid progress of generative AI applications has occurred mainly under a centralized development model, where users and developers are largely disempowered with no voice, stake or ownership over the development process.
The Centralized Model: Limitations and Risks
The current centralized model of app creation, combined with the lack of inclusion of users and developers, means that agents and apps today lack the true personalization that will take AI agents to the next level of adoption and growth toward an expected trillion-dollar AI economy. This centralized approach has several limitations and risks:
Lack of Personalization
The current generative AI application ecosystem lacks personalized experiences, which are essential for widespread adoption. Users want more tailored applications that meet their unique needs and preferences.
Data Quality Concerns
There are concerns about the quality of data used to train large language models and AI algorithms. With 25% of high-quality data sources restricted between April 2023 and April 2024, developers are struggling to access reliable data.
Bias and Misinformation
AI agents have been known to express political bias or contribute to the dissemination of false information. This not only harms users but also undermines trust in AI technology.
Decentralization: The Answer to a Sustainable AI Economy
Centralized models have made a critical mistake by leaving out two key stakeholders: developers and users. By deploying a decentralized approach to app and agent creation, developers and users can be empowered with a voice and ownership over the development process.
Benefits of Decentralization
Decentralized computing offers several benefits:
- Transparency: A decentralized network ensures that the development process remains open and transparent.
- Affordability: Decentralized computing is more affordable than relying on centralized providers, which are experiencing a massive bottleneck in demand.
- Security: Decentralized networks have no central database to attract hackers, making them more secure.
Empowering Developers and Users
Decentralization empowers community members with greater control over what data is leveraged by developers in the creation of applications. Value-based rewards can be achieved using blockchain technology, incentivizing community participation.
Secure Data Usage
Users demand safe and secure data usage. Decentralized networks protect sensitive information from being stored in databases that become honeypots to would-be hackers.
The Future of AI: Democratizing App Development
Democratizing AI app development and creating communities where all stakeholders are valued and rewarded will foster AI’s sustainable growth. Using quality human knowledge and private data through decentralized networks will enable apps that dramatically enhance our productivity, communication, and social engagement while protecting user data privacy.
Possibilities for Agents Built in a Collaborative Way
We can only begin to envision the possibilities for agents built in a genuinely collaborative and decentralized way that prioritizes developers and end-users:
- Personal Health and Wellness Apps: Providing tailored health advice and nutrition recommendations.
- Intelligent Financial Planners: Analyzing spending habits and establishing financial goals.
- Virtual Stylists: Suggesting clothing and accessories based on style preferences.
Conclusion
Democratizing AI app development through decentralization is the key to unlocking the true potential of AI. By empowering developers and users, we can create applications that are tailored to individual needs and preferences. As we look ahead to 2030, it’s clear that a decentralized approach will be essential for the sustainable growth of the trillion-dollar AI economy.
About the Author
Salman Avestimehr is the co-founder and CEO of ChainOpera. His views, thoughts, and opinions expressed here are his alone and do not necessarily reflect or represent the views and opinions of Cointelegraph.
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