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Sponsored by: Vancord
October 23, 2023

AI vs. Blockchain: The technologies of tomorrow, today.

By Jason Pufahl, VP Security

Over the last decade, Artificial Intelligence (AI) and Blockchain have been prominent in tech discussions. While both promise to usher in a new era of capabilities and advancements, it’s becoming increasingly clear that AI stands to be more disruptive and accessible compared to blockchain. Accessibility and relatability play a vital role in tech adoption. This makes AI resonate more with the average person. AI has seen enthusiastic adoption, while blockchain has been slower to gain ground. AI’s intuitive nature positions it as a leader. It’s worth noting the very nature of AI makes it the most extreme of technological breakthroughs because it can now revolutionize anything and everything, even blockchain, or itself. AI is often used alongside blockchain to ensure data integrity as input to the AI.

AI and Blockchain Explained

Artificial Intelligence refers to the simulation of human intelligence in machines, and computational models to enable tasks such as learning, reasoning, and problem-solving. It is the development of systems that can perform tasks typically requiring human cognition, often leveraging large data sets and advanced algorithms to make informed decisions.

Blockchain is like a digital ledger or record book, where information is stored in linked blocks and can- not be easily altered once entered. Think of it as a chain of digital “stamps” that securely record each transaction or piece of information transparently and traceably.

Accessibility and Relatability of AI

When we think of AI, we often picture smart assistants like Siri or Alexa, content recommendations on Netflix or Spotify, conversational agents like ChatGPT, tools like DALL·E generating images from text, and AI in search engines like Bing. These user-centric applications play active roles in our daily lives, making AI’s impact palpable. In contrast, blockchain, often associated with decentralized ledgers or cryptocurrency, lacks the immediate ‘touch and feel’ appeal. While both promise revolutionary changes across industries, AI’s immediate applicability and relatability make it more warmly received.

Demonstrated Benefits of AI In Business Applications

  • Enhanced Cybersecurity: AI rapidly detects and responds to security threats, even those that are new or rapidly evolving. By lever-aging AI, businesses can enhance their cybersecurity measures, providing a safer environment for their data and operations.
  • Efficiency and Productivity: AI automates repetitive tasks, processes data in real-time, and offers predictive analytics.
  • Personalized Customer Experience: AI analyzes customer behavior and preferences, allowing businesses to offer hyper-personalized services and products.
  • Data Analysis: AI processes and analyzes vast datasets, revealing deeper insights and uncovering patterns to make efficient data driven decisions.

Potential Risks of AI in Business Applications

  • Job Displacement: While AI can handle routine tasks efficiently, it threatens the job security of those whose roles are primarily centered around these tasks.
  • Dependence on AI Decisions: Overreliance on AI may cause workers to neglect human intuition or not question AI-generated insights or information.
  • Privacy Concerns: AI’s ability to collect and analyze data can raise privacy and security concerns. Businesses, especially those handling sensitive information, need to be wary of the potential misuse or breaches associated with AI-driven systems.

AI: A Potential Societal Benefit

In conclusion, while AI does come with its set of challenges, its potential to reshape industries, stream- line processes, and enrich personal experiences is undeniable. Unlike Blockchain, which is still finding its place, AI has integrated into our daily lives. With continued refinement and responsible adoption, AI stands to benefit society by transforming work, play, and everything in between. In the grand narrative of technological advancement, resonance with users and tangible benefits define a technology’s worth. AI, with its user-centric approach and diverse applications, leads the way in this regard.

Learn more by visiting, or check out Vancord’s Cybersecurity Podcast, CyberSound, Episode 80: How is AI Transforming Cybersecurity?