Will Ozak AI’s launch price justify ETH holders ditching 2 staking yields?

Large ETH holders rotate staking profits into Ozak AI’s presale, betting its AI DePIN tools and $1 launch talk can outperform Ethereum’s low single-digit yields.

Summary

• Big Ethereum holders are reallocating staking rewards into Ozak AI’s presale, chasing higher upside than ETH’s sub‑5% annual yields.
• Ozak AI blends DePIN and SegRNN-based AI to scan on-chain data, while partnerships with Hive Intel, Zeni, CertiK, and Sherlock support data and security.
• Analysts tout speculative 150x–950x or 700x return scenarios around a potential ~$1 launch, but outcomes hinge on listings, demand, and broader market conditions.

Large Ethereum (ETH) holders are redirecting profits from staking into Ozak AI, an early-stage artificial intelligence-based cryptocurrency token.

Ozak AI seeks Ethereum whales

The shift comes as Ethereum staking yields remain below 5% annually, prompting investors to seek higher-growth opportunities, the report stated. Some projections cited in the original report suggest potential returns ranging from 150 times to 950 times initial investment through 2028, though such projections remain speculative and unverified.

Ozak AI combines blockchain technology with artificial intelligence to produce predictive tools designed to analyze blockchain data in real time, according to the project’s documentation.

The token’s presale has attracted substantial participation, with each phase closing rapidly due to demand, the report indicated. The token allocation includes portions designated for presale and ecosystem development, listing and liquidity provision, team compensation, and future reserves.

The project’s technology infrastructure includes a Decentralized Physical Infrastructure Network (DePIN) consisting of three layers: an AI layer that performs calculations on graphics processing units for predictions, a data layer providing IPFS-based encrypted decentralized storage, and an OSN layer functioning as a relay node for validating and transmitting on-chain and off-chain data.

The platform also utilizes Segmentation-aware Recurrent Neural Network (SegRNN) technology, a model designed to detect shifts in market sentiment by analyzing sudden changes in data patterns, according to the project description.

Ozak AI has established partnerships with blockchain and AI firms including Hive Intel, a multichain data application programming interface provider, and Zeni, described as an AI-powered Web3 growth platform. The Hive Intel partnership enables the platform’s predictive tools to analyze on-chain activity including non-fungible token and decentralized finance events.

The project has engaged security firms CertiK and Sherlock to conduct audits of its smart contracts and AI tools, addressing concerns about presale security that typically influence large investor participation.

Ethereum staking provides consistent but limited returns, with yields remaining relatively low even during favorable market conditions. The contrast between stable staking returns and high-risk, high-reward token investments represents a common trade-off in cryptocurrency markets.

The token is advancing toward exchange listing, though actual performance outcomes remain uncertain and dependent on multiple market factors.