By 2024, artificial intelligence has evolved to permeate nearly every aspect of daily life, from specialized tools to transformational technologies that will reshape nearly every industry.
The phrase “all artificial” reflects a world where AI is not just limited to automation in industries; it is integrated to help everyday people make their days a little easier. With over 72 percent of organizations adopting at least one AI business feature, it is clear that this technology is deeply entrenched in our economy by transforming the way businesses operate.
For example, Tesla recently unveiled its general-purpose robot humanoid, Tesla Optimus. Designed to assist with various tasks, Optimus can lift heavy objects, perform repetitive chores and communicate with people. This innovative robot is an example of Tesla’s commitment to pushing the boundaries of AI technology and automating everyday tasks.
In addition, Microsoft has introduced AI agents across its Azure and Microsoft 365 platforms, allowing users to automate workflows, gain insights, and improve collaboration through tools like Copilot.
As we prepare for the new year, said James Wo, founder and CEO of Digital finance group (DFG), shares: “By 2025, we can expect refinements in automation systems that will enable broader applications across industries, including supply chains and healthcare, where improved efficiency and real-time data integration will streamline operations.”
While many technology companies are committed to integrating AI solutions or building their products, blockchain is an area that particularly benefits from this technology. The combination of these technologies has proven to be a perfect match, as blockchain’s emphasis on security and transparency complements AI’s capabilities in automation and data analytics.
While AI has traditionally been used to improve efficiency and streamline tedious or mundane processes, AI and blockchain play a crucial role in ensuring the security of transactions and user data. In the crypto space, this translates into protecting the integrity of projects and users’ assets.
Wo adds: “A compelling use case is the development of AI predictive models designed to identify fraudulent activities in the chain. These models can analyze large amounts of data through blockchain transactions, learning from patterns to make informed predictions about suspicious behavior.”
Most recently the US Treasury Department revealed that machine learning will help reduce $1 billion in fraud through data analytics by 2024 alone. Automating fraud detection processes enables faster responses to suspicious activity. Strategic initiatives such as data-driven fraud detection can also significantly reduce risk and protect assets in the volatile blockchain environment.
Similarly, AI can be used within a blockchain environment to detect suspicious transactions more efficiently. Using machine learning algorithms, an AI system can study large amounts of historical data and learn from past incidents to improve its ability to detect suspicious or criminal activity in real time. This use case can be replicated in multiple areas, such as smart contract code checks and identity verification, to amplify blockchain’s biggest security vulnerabilities.
Since smart contracts are usually a blind spot in blockchain security, Wo believes that “AI-enabled smart contracts can also be developed, where transactions are executed by recording real-time data instead of predefined conditions to improve efficiency to further optimize.” If this becomes a reality, we can expect the adoption of blockchain and smart contracts to spread to other industries to improve autonomous operations that rely on constant data flows.
It wasn’t long ago that the intersection between AI and blockchain was purely abstract, but we’re starting to see an increasing number of use cases in Web3. As these developments continue to materialize and improve security, efficiency and user experience, in 2025 we can expect AI and blockchain synergies to expand to improve business workflows across industries.
Image by Tung Nguyen from Pixabay
