Crypto Future Is Bright Because AI Will Destroy Traditional Software Says Kraken-Backed Investment Firm
KRAKacquisition CEO argues crypto bear cycle is a blip compared to the existential threat AI poses to software companies
Tanuku's thesis centres on the idea that while AI can automate code generation, customer support, and many software-as-a-service functions, it cannot replicate the decentralised trust and settlement layers that blockchain technology provides. In this view, the current crypto downturn is a cyclical phenomenon, while the disruption AI is bringing to traditional software companies represents a structural shift.
The argument has gained traction among crypto advocates looking for a narrative that distinguishes digital assets from the broader tech sector that AI is rapidly reshaping. As AI coding tools make it trivially easy to build software, the moats that justified high SaaS valuations are eroding.
However, critics note that crypto has its own AI vulnerability, with smart contract auditing, trading strategies, and even governance potentially being automated by AI systems.
Analysis
Why This Matters
The framing of crypto as AI-resistant infrastructure is a significant narrative shift for the industry, moving beyond the usual bull case of adoption curves and institutional inflows.
Background
The crypto market has been in a prolonged downturn while AI companies have attracted the bulk of venture capital and public market enthusiasm. Crypto proponents have been searching for a compelling counter-narrative.
What to Watch
Whether institutional investors buy the crypto-as-AI-hedge thesis, and whether the argument holds up as AI capabilities continue to expand into areas like automated trading and DeFi.