Bitget Report Predicts Blockchain’s Talent Boom; Can It Rival AI’s Meteoric Rise?
While artificial intelligence (AI) has rapidly scaled into a dominant pillar of the modern workforce, a quieter contender is emerging. Blockchain technology, often confined to the world of cryptocurrencies, is showing signs of transformative potential in employment markets. According to Bitget’s latest research, if blockchain adoption accelerates at a pace comparable to AI, the sector could create over 500,000 jobs by 2028, with projections as high as 1.5 million by 2030. However, realizing this future demands overcoming regulatory hurdles, scaling technical capabilities, and cultivating specialized talent pipelines. Blockchain’s story today mirrors AI's early evolution — promising, but requiring precision and commitment to reach its apex.
Current Landscape of Blockchain Employment
The blockchain sector, though expanding, remains a fraction of the broader tech job market.
15,000 to 20,000 active blockchain job listings were recorded across major platforms like LinkedIn and Web3 Jobs in 2024. Despite blockchain’s 45% compound annual growth rate (CAGR) in job creation—outpacing most traditional tech sectors—it still lags behind the explosive hiring witnessed in AI.
Regionally, blockchain employment is concentrated in:
- North America: 40%
- Asia-Pacific: 35%
- Europe: 20%
(Source: Hyphen Connect, Proof of Search)
Projections suggest 500,000 new blockchain roles could emerge by 2028, but compared to AI's hiring velocity, this remains conservative.
Blockchain’s Development Mirrors Tech’s Historic Growth Patterns
The blockchain sector’s slow maturation parallels early trends seen in other revolutionary technologies.
Artificial intelligence spent decades in academic obscurity before commercial breakthroughs ignited explosive job creation in the 2010s.
Cloud computing took nearly two decades from inception to mainstream adoption.
Cybersecurity surged post-2000s as digital risks became ubiquitous.
Blockchain, introduced in 2009, is still in its first major adoption wave, suggesting that today’s modest workforce numbers may belie a coming explosion if foundational conditions are met.
Future Job Growth: A Blockchain Boom on the Horizon?
At its current 25–30% annual growth trajectory, blockchain employment could reach 500,000 jobs by 2028. But if enterprise and governmental adoption accelerates in line with AI’s historical path, blockchain could fuel over 1 million new jobs by 2030.
Emerging industries beyond finance—such as healthcare, logistics, and energy—could drive a significant uptick in demand for blockchain expertise.
Key Drivers Needed for Blockchain’s Mainstream Recognition
For blockchain to rival AI in talent expansion, several pivotal shifts are necessary:
1. Regulatory Clarity
AI benefited early from government endorsement and corporate trust. Blockchain must similarly navigate regulatory ambiguity. Initiatives like the EU’s Markets in Crypto-Assets (MiCA) and evolving U.S. SEC stances could catalyze enterprise hiring.
2. Enterprise Integration
The AI surge was powered by major corporate investments. Blockchain is beginning to mirror this trend, with firms such as JPMorgan (Onyx platform), Visa (USDC initiatives), and IBM (Hyperledger Fabric) pioneering blockchain-based solutions.
3. Scalability Enhancements
Speed and efficiency challenges remain critical. Just as AI required massive compute upgrades, blockchain must overcome transaction bottlenecks. Innovations like Layer-2 solutions (e.g., Arbitrum, Optimism) and the Ethereum upgrade roadmap are steps in that direction.
4. Workforce Development and Education
The establishment of AI and data science as academic mainstays accelerated its growth. Blockchain must follow suit. Leading universities including MIT, Stanford, and Cambridge are now offering specialized blockchain programs.
5. Venture Capital and Government Support
Massive funding was a catalyst for AI innovation, with over $100 billion in AI venture capital funding reported in 2023. Blockchain funding, estimated around $25 billion annually, must expand if the sector is to realize its employment potential.
Comparative Growth: Blockchain vs. AI Employment
If blockchain adoption scales similarly to AI:
Workforce could quintuple from 300,000 to 1.5 million by 2030.
Cross-sector integration could diversify job roles, spanning legal compliance, financial auditing, health data security, and decentralized energy markets.
Blockchain would move beyond niche tech status into a foundational infrastructure for digital economies.
Factor | AI Growth Model | Blockchain Current Status | Blockchain Future Potential |
---|---|---|---|
Regulatory Backing | Early and strong (global) | Emerging (MiCA, SEC guidance) | Needs global harmonization |
Corporate Investment | Heavy (OpenAI, Google, Nvidia) | Growing (JPMorgan, IBM, Visa) | Critical mass needed |
Talent Pipeline | Established (Data Science degrees) | Developing (Blockchain courses) | Expansion required |
Venture Capital Support | $100B+ annual funding | ~$25B annually | Growth essential |
Infrastructure Scalability | Achieved with cloud and GPUs | Improving (Layer-2 solutions) | Further enhancements necessary |
Strategic Outlook: Blockchain’s Inflection Point
Blockchain stands at a crossroads. Its potential to rival AI in employment and innovation is real but contingent. Regulatory certainty, enterprise commitment, technical scalability, and robust academic backing will determine whether it mirrors the AI trajectory or remains a promising but peripheral technology.
For investors, executives, and policymakers alike, the message is clear:
The time to invest in blockchain talent pipelines, infrastructure innovation, and strategic regulatory frameworks is now.
Failure to do so could leave untapped an economic force poised to redefine industries, much like AI did over the past decade.
Sources for this report: Bitget Research Report 2025, LinkedIn Economic Graph, Hyphen Connect, Proof of Search, World Economic Forum, Gartner, Glassdoor, Tiger Research, European Parliament, SEC.gov, Forbes, Bloomberg, Ethereum Foundation, CoinDesk, MIT Sloan, Stanford University, Cambridge Centre for Alternative Finance, Crunchbase, CB Insights.