With Conservative Estimates Still Showing 400%+ Potential, Ozak AI Is Being Framed as a High-Upside AI Allocation.

TheNewsCryptoPublished on 2026-05-13Last updated on 2026-05-13

Abstract

Ozak AI, an early-stage AI-based cryptocurrency token, has raised over $7.1 million in its presale, with its price increasing 1300% from its initial phase to $0.014. Analysts forecast a potential 400%+ growth, with a target listing price of $1 on major exchanges. The project distinguishes itself through predictive AI technology, including Temporal Fusion Transformer (TFT) and SegRNN models, designed for market analysis and forecasting. Strategic collaborations with firms like Spheron and SINT aim to strengthen its ecosystem. The article concludes that even conservative estimates point to significant upside potential for early investors.

Due to AI’s dominance of the cryptocurrency market, many investors have shifted from major cryptocurrencies to AI-based tokens in an attempt to increase their returns. Ozak AI is an early-stage AI-based token with advanced AI technology and over $7 million in presale funding, making it one of the high-growth potential AI-based tokens. The token has demonstrated tremendously positive presale growth momentum during the bear market, and analysts forecast that it will grow by 400% in the coming years.

Presale Positioning: Where the Asymmetry Begins

The Ozak Al’s Presale is one of the most anticipated presale events in the Crypto market. The Ozak AI is currently priced at $0.014 in its 7th presale Phase. The Ozak AI has increased 1300% from the initial Launch Phase, which was launched at $0.001. This shows how the token is gaining massive adoption and growth in a short period of time. The Token has raised over $7.1 million in presale funding, and over 1.19 billion OZ tokens have been sold so far. In the previous 6th Phase teh Presale phase has sold $7.1 million with Ozak AI, and this level of traction and rapid presale sellouts makes teh etoksn to be one of teh strongest candidates for listing in the major exchanges soon. The token’s target price for listing teh token is $1. The early investors who invested in the current Presale Phase would see a massive return.

Technology: Predictive AI Built as Market Infrastructure

The strong technology that sets the Ozak AI token apart from the meme-based tokens. The Combination of AI and blockchain technology makes the token a real-world utility token. The Ozak AI technology includes TFT and SegRNN features, which make the token more unique. The Temporal Fusion Transformer (TFT) is a transformer-based time series model that can simultaneously analyze different types of data. It looks for prices, volumes, and news. It helps the Ozak AI to make more secure and explainable Forecasts for crypto and finance. The SegRNN model detects major changes in the market moods, like bullish and bearish market trends. It studies the data shifts. They are very useful for the token unlocks, whale moves, or bug Liquidity shocks.

Conservative Forecast Math Supporting Multi-Hundred Percent Gains

The Ozak AI is currently priced at $0.014. The analyst predicts that the Token will soon be listed on the major exchanges at the target price of $1 if the Token reaches the targeted price of $1. Then, assuming the investors investing $100 in the current Phase would secure 7,142. If teh Token reaches the $1 range, then teh secured Token would be worth $7,142 with 71x growth. If teh token delivers the 400% growth from teh listing, then teh Token would reach $5, and the secured token’s worth would be $35,714 with 357x growth. Even if the token increased 400% from the current price by reaching the price range of $0.070, then the Token would see a 5x growth and turn into $500. This shows how the small investment in the Ozak AI could turn into a massive ROI.

Collaborations That Accelerate Ozak AI’s Expansion

Ozak AI’s collaboration with AI and blockchain firms makes the ecosystem stronger and more trustworthy among investors. Spheron, a computing network that converts idle GPUs and CPUs into on-demand AI computation, teamed up with Ozak AI. When combined with Ozak AI, it offers developers the most affordable training and testing resources and facilitates community-driven AI initiatives. SINT provides autonomous AI agents that provide smart bots and voice tools. Collaborating with Ozak AI, it automatically trades and sends alerts to the users.

Conclusion: Conservative Math Still Points to Meaningful Upside

Even the analyst believes that the Ozak AI could yield a 400% gain with the low-risk projection. This demonstrates the token’s positive momentum. The token is unique because of Ozak AI’s Massive Presale Phase, real AI utility, and strategic partnership. The analytics indicate that the tokens will soon be listed on the major exchanges. Early investors may benefit even if the token delivers 400% before listing. If the token keeps up its modest momentum and accomplishes all of the future objectives outlined in the white paper, this projection will be possible.

For more information about Ozak AI, visit the links below:

Website: https://ozak.ai/
Twitter/X: https://x.com/OzakAGI
Telegram: https://t.me/OzakAGI

Disclaimer: TheNewsCrypto does not endorse any content on this page. The content depicted in this Press Release does not represent any investment advice. TheNewsCrypto recommends our readers to make decisions based on their own research. TheNewsCrypto is not accountable for any damage or loss related to content, products, or services stated in this Press Release.

Trending Cryptos

CitreaCTR

wrapped stUSDTWSTUSDT

Velodrome FinanceVELODROME

BrevisBREV

PancakeSwapCAKE

$2 Trillion: Countdown to AI's Largest IPO in History

The countdown for the largest IPO in AI history, a potential $2 trillion listing for Anthropic, is underway for October. The staggering valuation, reportedly projected by several investors, contrasts with the company's own internal restraint on setting a public target. Founded five years ago by former OpenAI core members, Anthropic's growth has been meteoric. Annual recurring revenue (ARR) surged from ~$9B in late 2025 to $47B by May 2026, with Q2 2026 revenue of $11.5B marking a 14x year-over-year increase. Bank valuations are even based on internal 2028 revenue forecasts of $190-200B. A key growth driver is Claude Code, its AI coding assistant. Its ARR quintupled in five months to $2.5B by February 2026, now constituting nearly 20% of total revenue. Surveys indicate Anthropic commands roughly 40% of enterprise LLM spending, doubling OpenAI's share in programming-specific use. However, alongside this explosive growth, reports detail significant internal cultural strife. Critics describe a divisive "priesthood" of PhD executives, led by CEO Dario Amodei, who promote a "save humanity" narrative that some employees find cult-like and alienating. This has reportedly created a demoralized workforce and a covert "underground network" of dissent among engineers torn between lucrative pre-IPO equity and a toxic work environment. Anthropic now faces a pivotal paradox: pursuing its mission of "safe" AI requires immense capital for compute, yet that capital demands relentless commercial growth. As it approaches its historic IPO, the company must navigate intense regulatory scrutiny, soaring operational costs, and internal tensions—any of which could destabilize its post-listing trajectory, much like SpaceX's significant post-IPO stock drop. The stage is set for a defining moment in tech history.

marsbit2m ago

$2 Trillion: Countdown to AI's Largest IPO in History

marsbit2m ago

AI Boosting Efficiency and Cutting Costs Makes VC Increasingly Expensive

"AI for Cost Reduction Makes VC Funding More Expensive" Despite the "cost-reduction and efficiency" narrative of AI, venture capital (VC) investment in the AI sector is becoming increasingly costly. While AI tools lower the initial costs for many startups—with team sizes shrinking across funding stages—the market is polarizing. For top-tier AI teams, especially those from leading companies like Google and OpenAI, funding rounds are now larger and valuations are higher than ever at the seed and early stages. For example, new ventures by prominent researchers are securing billions in funding with valuations reaching tens of billions before having a mature product. This creates a "barbell" market: lightweight startups need less capital, while elite AI firms attract massive investments early on. This dynamic raises the cost for VCs to acquire and maintain meaningful ownership stakes. As valuations soar early, securing the same equity percentage requires significantly larger capital commitments. VCs must now invest more upfront and reserve substantial funds for follow-on rounds to avoid dilution, prompting large firms like Accel and a16z to raise massive new funds. Consequently, capital is concentrating intensely in a few perceived winners like OpenAI and Anthropic, widening the gap between large and small VC funds. While high valuations bake in future growth expectations, they also compress potential returns, demanding that portfolio companies achieve unprecedented scale. For major VCs, the core strategy is clear: secure early positions in potential winners and maintain the capital to keep investing as valuations rapidly escalate.

marsbit28m ago

AI Boosting Efficiency and Cutting Costs Makes VC Increasingly Expensive

marsbit28m ago

An Eight-Year Investment Takes a Sharp Turn: Why Did Ethereum Suddenly Abandon Poseidon?

On August 13, Ethereum researcher Justin Drake announced a significant shift in Ethereum's Layer-1 cryptographic roadmap: abandoning the SNARK-friendly hash function Poseidon in favor of traditional functions like SHA2 or BLAKE2. This decision ends eight years of research and investment, marking a major revision to the post-quantum security strategy. Poseidon, introduced in 2019, was highly efficient for zkRollups and zkVMs within SNARK circuits. However, its need for prolonged cryptanalysis and the pressing timeline for quantum resistance revealed limitations. Recent breakthroughs in SNARK design, specifically using binary fields, now enable traditional, battle-tested hash functions to perform as efficiently as Poseidon within SNARKs. Benchmarks show modern laptops can now verify over a million traditional hash calls per second. This change is partly driven by accelerated concerns over quantum computing threats. Reports warn that "Cryptographically Relevant Quantum Computers" could break current blockchain signatures like ECDSA by the early 2030s, risking trillions in assets. Ethereum's response focuses on hash-based post-quantum signature schemes, deemed more quantum-resistant than some lattice-based alternatives under pressure from AI cryptanalysis. Ethereum's updated post-quantum roadmap targets a production-ready "leanVM" for signature aggregation by 2027, with full deployment across consensus, execution, and data layers by 2028. The shift to mature hash functions like SHA2 reduces reliance on newer algorithms and aligns with the goal of using widely analyzed cryptographic primitives. Other major blockchains are also preparing. Solana's core teams have independently chosen the NIST-standardized Falcon signature scheme for its compact size. Starknet plans a phased migration, starting with replacing its Pedersen hash with BLAKE2. Ethereum's move signifies a strategic pivot towards proven security foundations for the quantum era.

marsbit1h ago

An Eight-Year Investment Takes a Sharp Turn: Why Did Ethereum Suddenly Abandon Poseidon?

marsbit1h ago

Programmers Worldwide Are Wasting Money on Anthropic! The Company Can't Stand It Anymore

Anthropic recently published guidelines to help developers using Claude Code reduce unnecessary token costs. The key recommendations include: 1) Clear (/clear) conversations after completing a task to avoid carrying irrelevant file reads and command outputs into the next task. 2) Set the model and reasoning effort level at the start of a session, as switching mid-session invalidates the prompt cache, requiring a full-price recalculation of the entire dialog history. 3) Attach files using @ references instead of typing paths manually to avoid extra tool calls and searches that bloat the context. 4) Add quiet flags to verbose commands (e.g., in CLAUDE.md) to minimize lengthy output in the dialog history. 5) Use /compact while the session cache is still warm (before breaks) to compress the dialog at one-tenth the cost. 6) Offload large-output tasks to a sub-agent, which runs in an isolated context and only returns conclusions, preventing intermediate outputs from polluting the main dialog. The article explains token pricing: input tokens (prefill) are processed in parallel, while output tokens (decode) are generated serially, making output tokens five times more expensive. Caching is crucial for savings—if a request's prefix (system prompt, CLAUDE.md, dialog history) matches the previous one byte-for-byte, reading it costs only 10% of the standard input price. However, cache invalidation occurs when changing models, effort levels, fast mode, compressing dialogs, after cache expiration, or when resuming old sessions. Dialog history also grows quadratically (O(n²)) as file contents and command outputs accumulate, increasing costs per round. Proactive context management—like isolating noisy tasks, using /rewind to trim unproductive turns, and task-based session clearing—is becoming an essential skill for cost-effective AI-assisted development.

marsbit3h ago

Programmers Worldwide Are Wasting Money on Anthropic! The Company Can't Stand It Anymore

marsbit3h ago

Pax Silica vs. WAICO: The US Wants to Prohibit Europe from Using Chinese Artificial Intelligence

The United States is preparing to demand that European and other partners abandon Chinese artificial intelligence initiatives, threatening exclusion from the American-led "Pax Silica" coalition, according to a leaked U.S. State Department document. This ultimatum forces signatories of the "AI Opportunity Statement" to choose between the Western technological ecosystem and alternative frameworks, with China not explicitly named but clearly targeted. Pax Silica is a U.S. strategy for AI and semiconductor hegemony, launched in late 2025. Its European presence expanded significantly in mid-2026. Concurrently, China, Russia, and 27 other nations established the World AI Cooperation Organization (WAICO) in July 2026 as an independent intergovernmental platform promoting AI governance based on UN principles. This situation creates a difficult choice, especially for European nations balancing strategic autonomy with dependence on U.S. tech and security. It also pressures Global South countries with pragmatic ties to both Washington and Beijing. The formation of competing blocks risks fragmenting the global tech landscape, forcing companies to split supply chains, increasing costs, and potentially leading to incompatible standards and protocols. The era of open globalization in AI may be ending, replaced by geopolitical confrontation where technological sovereignty trumps economic efficiency. The decisions made will shape the global digital economy for decades.

cryptonews.ru5h ago

Pax Silica vs. WAICO: The US Wants to Prohibit Europe from Using Chinese Artificial Intelligence

cryptonews.ru5h ago

Trading

Spot

Hot Articles

U.S. Equity TradFi Assets: Traditional Finance as a Steady Anchor Amid the AI IPO Boom

In 2026, the U.S. IPO market has regained momentum.

38.0k Total ViewsPublished 2026.07.08Updated 2026.07.08

U.S. Equity TradFi Assets: Traditional Finance as a Steady Anchor Amid the AI IPO Boom

Hot Tokens Learning Month 20: This AI Memory Cycle Is Different, And UNI's Fundamentals Are Turning Heads

Wall Street remains strongly bullish on Micron as a core beneficiary of AI memory demand, emphasizing that "this cycle is different."

22.7k Total ViewsPublished 2026.08.06Updated 2026.08.06

Hot Tokens Learning Month 20: This AI Memory Cycle Is Different, And UNI's Fundamentals Are Turning Heads

Hot Tokens Learning Week 21: Surge in Storage Demand Drives New AI Cycle; Upcoming NVIDIA Earnings Take Center Stage

SanDisk's main growth drivers are surging demand for AI data center storage, solid earnings visibility backed by locked-in long-term orders, and its strategic positioning in new HBF technology.

14.9k Total ViewsPublished 2026.08.12Updated 2026.08.12

Hot Tokens Learning Week 21: Surge in Storage Demand Drives New AI Cycle; Upcoming NVIDIA Earnings Take Center Stage

Discussions

Welcome to the HTX Community. Here, you can stay informed about the latest platform developments and gain access to professional market insights. Users' opinions on the price of AI (AI) are presented below.