Blockchain Consultant Sanders: AI Priority Will Become Standard in Two Years
Blockchain and cryptocurrency advisor Niki Sanders predicts that within two years, "AI priority" will no longer be a differentiating advantage but will become a basic threshold.
She points out that the ultimate winners will be those companies that combine AI with real competitive advantages, such as proprietary data, distribution channels, regulatory barriers, or network effects.
Sanders has long served as a technical advisor in cryptocurrency and blockchain companies, focusing on custody, tokenization, and on-chain tools.
This viewpoint comes as AI capabilities rapidly proliferate, with many companies claiming to prioritize AI.
She emphasizes that merely slapping an AI label is insufficient to create a moat; what truly determines success or failure are the underlying, non-replicable resources and structures.
From a market mechanism perspective, this prediction is cognitively driven, guiding capital from pure AI concepts to targets with data or channel advantages. Funds are flowing towards companies with proprietary data and network effects, while startups that merely stack models are under pressure, with valuation logic accelerating towards moats under event-driven conditions.
Source: Public Information
ABAB AI Insight
Niki Sanders, as a technical advisor in the cryptocurrency and blockchain field, has long observed the evolution of emerging technologies from differentiation to standardization. She has previously emphasized that technology alone is unlikely to form a sustainable barrier, and the competitive landscape resembles that of the early mobile internet and post-cloud computing proliferation.
In terms of capital pathways, she suggests that investment and entrepreneurship should prioritize securing proprietary data, distribution, or regulatory advantages, then layer on AI capabilities. Capital and resources will concentrate on these structural assets, motivated by the desire to avoid homogenized competition and build long-term pricing power.
Similar cases can be seen in the decline of pure cloud vendors' advantages after the proliferation of cloud computing, where true winners rely on data and networks, or the early mobile apps transitioning from "mobile-first" to ecosystem lock-in; the current AI industry is moving from a capability demonstration phase to a moat validation phase.
The structural judgment belongs to technological substitution: AI capabilities themselves are being rapidly commoditized, with the mechanism being that the proliferation of models and tools lowers entry barriers, forcing competition to revert to traditional non-replicable advantages such as data, channels, and networks.
ABAB News · Law of Cognition
- After technology standardization, the moat becomes the decisive factor.
- AI capability proliferation = closure of differentiation window.
- Real advantages are always worth more than labels.