{"id":115378,"date":"2025-04-04T17:55:25","date_gmt":"2025-04-04T17:55:25","guid":{"rendered":"https:\/\/teknomers.com\/en\/industry-experts-assert-that-ai-will-not-substitute-crypto-developers-in-the-near-future\/"},"modified":"2025-04-04T17:55:25","modified_gmt":"2025-04-04T17:55:25","slug":"industry-experts-assert-that-ai-will-not-substitute-crypto-developers-in-the-near-future","status":"publish","type":"post","link":"https:\/\/teknomers.com\/en\/industry-experts-assert-that-ai-will-not-substitute-crypto-developers-in-the-near-future\/","title":{"rendered":"Industry Experts Assert That AI Will Not Substitute Crypto Developers in the Near Future"},"content":{"rendered":"

What is the projected growth of the global artificial intelligence market from 2024 to 2030?<\/strong> How are AI agents influencing the cryptocurrency sector today?<\/strong> Will AI ultimately replace human developers in the crypto industry, according to experts?<\/strong> What role will AI play in augmenting the productivity of crypto developers?<\/strong> What challenges remain in integrating AI with cryptocurrency development?<\/strong> <\/p>\n

The global artificial intelligence (AI) market size is projected<\/a> to grow from $214.6 billion (in 2024) to $1,339.1 billion by 2030, representing a 35.7% compound annual growth rate.<\/p>\n

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Source: MarketsandMarkets<\/figcaption><\/figure>\n

While notable, a number of concerns<\/a> are being raised about AI\u2019s impact on the job market. For example, AI is capable of writing code, leaving some wondering if AI will eventually replace human developers entirely. <\/p>\n

AI\u2019s Impact on The Crypto Sector<\/span><\/h2>\n

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The use of AI in crypto has also expanded significantly. AI agents are now participating in trading, executing smart contracts, and managing decentralized autonomous organizations (DAOs). <\/p>\n

Additionally, the market capitalization of AI agents continues to surge, with CoinMarketCap reporting<\/a> a total valuation exceeding $13.5 billion.<\/p>\n

AI agents are evolving as well. Level 3 agents have now emerged with enhanced autonomy and advanced learning capabilities, mirroring human cognitive functions.<\/p>\n

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AI done wrong is making new forms of independent self-replicating intelligent life
AI done right is mecha suits for the human mind
If we do the former without the latter, we risk permanent human disempowerment. If we do the latter, flourishing superintelligent human civilization<\/p>\n

— vitalik.eth (@VitalikButerin) January 10, 2025<\/a><\/p><\/blockquote>\n<\/div>\n<\/figure>\n

Will AI Replace Crypto Developers?<\/span><\/h2>\n

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Although AI agents are becoming smarter, industry experts believe that crypto developers shouldn\u2019t be concerned about AI replacing humans \u2013 at least not anytime soon.<\/p>\n

Manthan Dave, co-founder of digital asset custodian Palisade, told Cryptonews<\/em> that while progress within the AI coding landscape is impressive, much of it is overhyped and misunderstood.<\/p>\n

\u201cAI is getting insanely good at building standard web applications. If you need a React component or want to set up a basic CRUD app, AI assistants will save you hours of work. That’s because they’ve been trained on mountains of similar code from GitHub and other sources,\u201d Dave said.<\/p>\n

But Dave also mentioned that GitHub data contains questionable patterns that shows AI doesn\u2019t always know the difference between good code and code that just happens to work, regardless of quality.<\/p>\n

\u201cI tried using an AI assistant for a simple test web app \u2013 it nailed the dashboard UI in minutes, but then gave me an authentication implementation that would make any security expert cringe. You still need to know what you’re looking at,\u201d Dave said.<\/p>\n

Moreover, he pointed out that the narrative becomes more complex when it comes to crypto and blockchain projects.<\/p>\n

\u201cThese projects make up just a small slice of GitHub’s codebase, which creates a fundamental data problem for AI models that thrive on abundant examples,\u201d he said.<\/p>\n

That being said, Dave believes there is not nearly as much information needed for AI systems to replace crypto developers anytime soon.<\/p>\n

\u201cTry asking an AI to help with a cross-chain bridge implementation or a complex staking contract, and you’ll quickly find yourself in endless cyclic arguments or hallucination territory,\u201d he remarked.<\/p>\n

AI Will Help Crypto Developers Advance<\/span><\/h2>\n

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Although AI won\u2019t replace crypto developers in the near future, AI will help some advance.<\/p>\n

Dr. Alastair Moore, founding partner at Web3 venture studio The Building Blocks and an AI professor at University College London, told Cryptonews<\/em> that crypto developers will soon see their roles shift towards higher-level oversight, creative architecture, and guiding AI systems.<\/p>\n

He added that AI is starting to boost productivity for crypto developers by automating time-consuming tasks.<\/p>\n

For example, he mentioned that AI tools like GitHub Copilot and ChatGPT help to quickly generate Solidity code and explain Web3 APIs.<\/p>\n

In addition, AI-powered auditors like ChainGPT can rapidly scan smart contracts for vulnerabilities, while large language model-driven (LLM) chatbots streamline developer support and community management.<\/p>\n

\u201cThe ability to perform detailed analysis of complex on-chain actions will continue to accelerate LLMs,\u201d Moore said. \u201cThese advancements have reduced bugs, accelerated code deployment, and have enabled developers to focus more on complex design decisions and innovation.\u201d<\/p>\n

Andrew Hill, co-founder and CEO of Recall Network, told Cryptonews<\/em> that while AI won\u2019t replace crypto developers, it will oust those who don\u2019t use these capabilities from their jobs.<\/p>\n

\u201cAI is a tool that multiplies a developer\u2019s intelligence. Crypto development isn\u2019t just code \u2013 it\u2019s protocol design, incentives, governance. These are human problems, best tackled by augmented humans, not black-box models,\u201d Hill said.<\/p>\n

He added that Recall Network \u2013 a decentralized intelligence network designed for autonomous AI agents to store, share, and exchange knowledge on-chain \u2013 enables crypto builders to prove their intelligence in the rising era of AI.<\/p>\n

For instance, Hill explained that AI agents compete to optimize decentralized finance (DeFi) strategies, identify vulnerabilities, and coordinate multi-agent systems.<\/p>\n

Yet he noted that this isn\u2019t just about using AI, but also proving which AI agents actually work.<\/p>\n

\u201cThat\u2019s where Recall enters, as we are turning open AI performance into a public good for the entire crypto ecosystem,\u201d Hill said.<\/p>\n

Challenges Associated With AI and Crypto<\/span><\/h2>\n

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While AI will help crypto developers advance, a number of challenges remain.<\/p>\n

Matej Jane\u017e, head of partnerships at Oasis Protocol, told Cryptonews<\/em> that one of the biggest challenges is ensuring crypto stays decentralized.<\/p>\n

\u201cThe first iterations of crypto and AI projects are pushing forward with novel use cases. However, with fast development, they’re also making compromises on the decentralization side of things,\u201d Jane\u017e said.<\/p>\n

Combating bias is another ongoing challenge. Zac Cheah, co-founder of Pundi AI, told Cryptonews<\/em> that poorly trained AI models can produce skewed results. If the data used to train AI is limited or unbalanced, the model may reinforce existing biases rather than making fair decisions.<\/p>\n

Cheah explained that a potential solution to this problem is using diverse datasets and transparent validation processes to ensure fairness.<\/p>\n

\u201cDecentralized approaches can also help mitigate bias,\u201d he said. \u201cFor example, at Pundi AI, one of the tools in development is a decentralized AI data annotation platform. This platform allows users to participate in data tagging and rewards them for their contributions.\u201d<\/p>\n

Cheah noted that distributing data collection and labeling across a broader, more diverse group helps create more balanced AI models.<\/p>\n

Kony Kwong, CEO and co-founder of GAIB, further mentioned that a significant challenge in using AI in the crypto space is the lack of dedicated models for crypto code analysis and development.<\/p>\n

\u201cThe unique nature of blockchain technology requires specialized AI models that are currently in their infancy,\u201d Kwong said.<\/p>\n

Partnership Between AI and Crypto Developers<\/span><\/h2>\n

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Given these challenges, Moore believes that AI and crypto developers must evolve toward a collaborative partnership moving forward.<\/p>\n

\u201cDevelopers who effectively leverage AI tools will have significant advantages in efficiency, security, and innovation, reshaping the landscape into one where AI amplifies human creativity rather than replacing it entirely,\u201d he said.<\/p>\n

The post AI Won\u2019t Replace Crypto Developers Anytime Soon Says Industry Experts appeared first on Cryptonews.<\/p>\n