Blockchain, Deepseek & AI Agents Reshape the AI ​​Race

Billionaire Elon Musk has proposed that the US Treasury adopt blockchain technology to increase transparency and efficiency in public spending. The advent of Deepseek, an open-source model that enables the integration of AI solutions into businesses at low cost, has revolutionized the way AI agents are deployed in business environments.

These two events lead to a question for entrepreneurs and innovators around the world: How to leverage the power of AI, blockchain, and AI agents to benefit organizations? Join FPT.AI to find the answer in the following article.

AI Agents, Deepseek and Blockchain: Tools to level the technological competition

The emergence of powerful open-source models like Deepseek is helping more organizations access advanced AI capabilities. The application of AI Agents is no longer the privilege of technology corporations or businesses with huge IT budgets. So what are the benefits of AI Agents for organizations of all sizes?

AI Agents are a powerful assistant for Solopreneurs

Open-source models such as DeepSeek are helping solopreneurs deploy AI Agents at lower costs. In a discussion of the Digital Economist project, Dr. Priyanka Shrivastava, professor at Hult International Business School, commented: In a fiercely competitive environment, AI is the key factor that helps Solopreneurs overcome barriers of capital, time management as well as challenges of scaling.

With the ability to reason, learn, and perform tasks with minimal supervision, AI Agents help solopreneurs automate administrative work, enhance creativity, and compete fairly with large businesses without the need for a large team.

Many solopreneurs have taken advantage of AI Agents to improve productivity. Neha Prasad, founder of My Kind of Junk, uses Adobe Sensei to design jewelry, speeding up testing and focusing on product innovation. In marketing, Sarah, a Phoenix-based consultant, reduced her time creating marketing content by 60% by combining ChatGPT and Jasper. She also uses AI-powered agent Tidio to provide 24/7 customer service, freeing up more time for strategy and high-value customer interactions.

AI Agents help small businesses break through cost barriers

In the past, many small businesses were concerned that investing in artificial intelligence would be expensive and only suitable for large corporations. However, today, AI Agents can help them save significantly on costs compared to traditional solutions such as hiring staff or outsourcing. For example, instead of hiring a content management team, businesses can use AI Agents to automatically schedule social media posts. Instead of hiring a market research company, they can apply AI to analyze customer data quickly and accurately. AI chatbots also significantly reduce customer care costs by handling frequently asked questions without the need for a 24/7 support team.

According to a survey by BPC-Morning Consult, 57% of small business owners and executives have integrated AI into their business operations, and nearly 25% of them interact with AI very frequently. “Small business owners are learning about AI through industry forums, learning from their peers, and participating in vendor-hosted workshops,” says José Luis Carvalho, a digital economy leader. “Attending conferences and networking events keeps them informed while sharing insights through blogs, social media, and customer stories helps them showcase their expertise and explore how AI can solve challenges in their industry.”

AI Agents assist midsize businesses scale effectively

For midsize businesses, the challenge is not so much adopting AI, but how to scale AI applications effectively. Elkem Silicones, a mid-sized manufacturing company, has integrated AI into various departments. Initially, they deployed AI to reduce equipment downtime and maintenance costs. The company then partnered with Exceed.ai to manage over 7,000 leads per year, increasing conversion rates by 40%, and allowing the sales team to focus on high-potential customers, optimizing processes, and increasing revenue.

Another example is TradeWaltz, a Japan-based trade group, which combined decentralized AI and blockchain. They used decentralized AI to predict and optimize trade routes, while blockchain helped digitize and secure trade documents, revolutionizing the global trade sector.

Another typical case study is SafetyCulture Company in Australia, specializing in occupational safety and operations management, which has integrated an AI agent named Bosh, capable of automatically handling customer requests, organizing schedules, and optimizing safety audit processes. By distributing work to multiple AI Agents, SafetyCulture has significantly reduced administrative workload, allowing employees to focus more on growth strategy and customer engagement.

“Small and medium-sized businesses are facing an explosion of data, but automation is still lagging due to their reliance on human-driven processes,” said John Derrick, Founder and CEO of Authentics. “While small businesses can use tools like ChatGPT, larger organizations need AI solutions that are tailored to their specific data and needs. Selecting the right data, quality control, and data governance are critical to making AI work effectively. Fortunately, there are many advanced tools available to help measure, control, and ensure compliance in AI systems.”

AI Agents are the key for large corporations to lead the market

The challenges that large corporations face when implementing AI are governance, integration with legacy systems, and maintaining ethical standards at scale. Over the past decade, Domino’s has not only improved the quality of its pizzas but has also transformed itself into a technology company with AI at the core of its operations.

Domino’s has developed DOM, an AI-powered system that processes orders quickly and accurately, enhancing the customer experience. They have also implemented a real-time order tracking system, allowing customers to monitor the progress of their deliveries in detail. They have continued to innovate with autonomous delivery robots, redefining convenience and efficiency in the food delivery industry.

Similarly, BMW has developed a system called BMW Agents, which uses multi-agent collaboration to automate workflows. The system leverages swarms of AI Agents to handle complex processes and improve operational efficiency and flexibility. Importantly, it is designed to be scalable and adaptable, allowing BMW to integrate AI into many different areas of the company.

“AI is driving innovation and creating disruptive change across many industries,” said Balaji Dhamodharan, Global Software Analytics Leader, AI/ML at AMD. “Those who realize the potential of AI now are not only shaping their industries, they are also building the foundation for the future.”

How to implement AI Agents and Blockchain effectively?

Integrating AI into a blockchain ecosystem requires a high priority on data security and privacy to ensure long-term sustainability and compliance. In particular, if organizations use open-source models such as Deepseek, there must be clear guidance on data sovereignty and compliance regulations by region, to minimize the risk of data leakage.

Steps to Implement AI Agents and Blockchain Technology in Enterprises Effectively and Responsibly:

• Define Clear Business Objectives: First, identify the specific problems that AI Agents and blockchain can solve in your business, such as automating processes, improving customer service, or enhancing data security.
• Start Small with Pilot Projects: Implement small pilot projects to evaluate the effectiveness of AI Agents and Blockchain. This helps you collect real-world data and refine your strategy before scaling.
• Ensure data quality and governance: High-quality data is the foundation for effective AI systems. Establish data governance processes to ensure data accuracy, completeness, and security.
• Integrate complementary technologies: Consider integrating technologies like edge computing to improve the responsiveness of AI applications, or blockchain to enhance data transparency and security.
• Comply with security and privacy regulations: Ensure that your AI and blockchain implementations comply with data security and privacy laws, such as GDPR in Europe.
• Maintain flexibility in your implementation strategy: AI and blockchain technologies are constantly evolving, so your strategy needs to be flexible to accommodate new changes and innovations.
• Employee training and awareness: Provide training to employees on how to use and interact with AI Agents and blockchain, and build a corporate culture that supports innovation and adoption of new technologies.

In short, the integration of advanced technologies such as AI Agents, DeepSeek, and blockchain is opening up unprecedented opportunities for businesses of all sizes. However, to maximize the benefits of these technologies, businesses need to have a clear implementation strategy, ensuring compliance with regulations on security and data privacy. By taking a proactive and flexible approach, businesses can not only improve operational efficiency but also create a sustainable competitive advantage in the digital era.

FPT AI Agents is a comprehensive platform that helps businesses build and operate AI Agents quickly, simply, and effectively. All AI Agents are operated on FPT AI Factory – a comprehensive solution ecosystem consisting of three layers:

• FPT AI Infrastructure: Built on advanced technologies, including NVIDIA H100 and H200, complying with NVIDIA’s AI architecture blueprints. This system is designed with NVIDIA system architects and is certified by NVIDIA.
• FPT AI Cloud Platform: Supports developers and researchers to explore, build, and operate AI models seamlessly. This platform allows for data preparation, model training, fine-tuning, and model lifecycle management.
• FPT AI Agent Platform: Supports not only developers but also business users to create their own AI teammates for different tasks and purposes. In just a few minutes or hours, anyone can create their future AI teammates.

These factories are fully compatible with the NVIDIA AI Enterprise platform and architectural blueprints, ensuring seamless integration and operation. With FPT AI Factory, customers can innovate with AI, build sovereign AI solutions, and keep data and systems on-premises to ensure security and regulatory compliance.