# Пов'язані статті щодо Pricing Models

Центр новин HTX надає останні статті та поглиблений аналіз на тему "Pricing Models", що охоплює ринкові тренди, оновлення проєктів, технологічні розробки та регуляторну політику в криптоіндустрії.

Early Pricing Models Suggest Ozak AI Could Deliver Returns Exceeding 1,000% if AI-Driven Tokens Regain Momentum in 2026

Early pricing models suggest that Ozak AI's token, OZ, could achieve returns exceeding 1,000%, with projections as high as 30,000% (a 300x gain) by 2026 if AI-driven tokens regain market momentum. Initial estimates forecast returns between 71x and 300x upon and shortly after public listing, potentially raising the token's value from $0.014 to $7.2. This optimistic outlook is supported by internal factors like cross-chain functionality and token utility for governance and staking, as well as external strategic partnerships with entities like Meganet, which aim to enhance real-time financial insights and ecosystem growth.

TheNewsCrypto05/14 11:43

Early Pricing Models Suggest Ozak AI Could Deliver Returns Exceeding 1,000% if AI-Driven Tokens Regain Momentum in 2026

TheNewsCrypto05/14 11:43

What Kills SaaS Isn't AI, It's Agent

The article argues that AI agents, not AI itself, are disrupting the SaaS industry. The recent market reaction to Anthropic's Claude Cowork plugin release, which erased $285 billion in software market value in 24 hours, highlights this shift. The core thesis is that the traditional SaaS model—building a "nice UI + integrations + per-seat pricing" on top of shallow moats—is dying. AI agents that can autonomously execute workflows within existing systems (CRMs, databases) are making the intermediate UI layer obsolete. This creates a "Thin Middle Squeeze": value is moving upward to the AI agent execution layer and downward to the foundational data layer (record systems), while the middle layer (traditional SaaS UI) is being crushed. However, the author clarifies that software market spending is not decreasing but shifting. New opportunities lie in: AI platform subscriptions with usage-based pricing, owning proprietary data in record systems, building infrastructure for AI security/governance, adopting outcome-based pricing models, and providing implementation services. The conclusion is that the era of "easy SaaS" with per-seat pricing is over, but immense opportunities remain for those building in the agent, data, or infrastructure layers.

marsbit02/06 11:32

What Kills SaaS Isn't AI, It's Agent

marsbit02/06 11:32

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