As the presale for Ozak AI picks up speed, more crypto investors are paying attention to it. The token is already making news for how quickly it is being bought at $0.012. The project is gaining a lot of support, having sold over 925 million $OZ and raised $3.5 million. The next presale phase will raise the price to $0.014, and the long-term goal is $1.00, which means there is a lot of room for growth.

The three-year outlook projects an even more ambitious scenario. If Ozak AI climbs to $5, early investors would see exponential returns. Such growth would imply over 41,000% gains since the presale value and would lead to one of the best ROI opportunities on the market currently.

Presale Progress Strengthens Investor Confidence

One of the reasons why Ozak AI is credible is the presale momentum. The growth of the phases is a confirmation of the need and concern for AI-driven blockchain solutions. Investors are investing capital with the belief that getting in early provides the best returns. The tokens will be sold at the best price points to presale supporters by the time Ozak AI goes live.

Planned growth builds confidence. Each stage has an increased entry price, and this ensures that things do not stall and demand and supply remain in a good balance. This places Ozak AI in a position to access trading markets with more liquidity compared to most other presale projects.

Partnerships and Market Positioning

One of the growth aspects of Ozak AI is partnerships. The collaboration with Hive Intel and Pyth Network enhances the delivery of AI-driven predictive analytics in blockchain ecosystems. These partnerships enhance utility and uptake in decentralized finance, trading, and applications of data sharing. As more industries embrace AI, the strategic position of Ozak AI aligns with one of the fastest-evolving sections of technology.

Path to $5 Over Three Years

The road to $5 requires consistent adoption and sustained market interest. Presale performance already indicates that investor appetite is accelerating, and this trend is likely to continue into the exchange debut of the token. The present phase pricing and continuous capital inflow point to the market demand being built faster than anticipated. On this course, Ozak AI can afford its price boldness in the long run.

Investor Returns at Scale

At the current presale price of $0.012, an investment of $250 secures over 20,000 tokens. Provided Ozak AI hits its target of $1.00, the stake value will be $20,000. In case the three-year forecast of $5 becomes a reality, the same investment may be more than $100,000. Even the conservative scenarios provide transformational results in comparison to traditional asset classes.

Final Outlook

Ozak AI integrates interesting presale organization, well-designed partnerships, and investor momentum. The token presents one of the most promising early-stage growth opportunities in the crypto market with a clear pathway between $0.012 and $1.00 and the potential to hit $5 in only three years. The current presale participants are putting themselves in a better place to take advantage of potentially skyrocketing returns.

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

Google has laid off more than 100 employees in its cloud design unit, the latest in a string of cuts that show how the tech industry’s restructuring around artificial intelligence continues to reshape workforces.

Internal documents seen by CNBC revealed that the roles eliminated include teams focused on “quantitative user experience research” and “platform and service experience,” as well as adjacent groups. These jobs — which often relied on user data and behavioral studies to guide product design — have been halved in some cases. Many of the affected employees, most of them based in the United States, were told they have until early December to find another role within the company.

This week’s reductions are part of a long-running trend. Google has been steadily scaling back across multiple divisions since the beginning of the year, offering voluntary exit packages and slashing more than one-third of its managers overseeing small teams. The company has also extended buyouts across human resources, hardware, search, ads, marketing, finance, and commerce, while pressing employees to use AI more directly in their daily work.

The restructuring reflects a deeper shift at the company. Google has pivoted aggressively toward building AI infrastructure, with CEO Sundar Pichai warning in August that the company must “be more efficient as we scale up so we don’t solve everything with headcount.” In practice, that has meant cutting people-focused roles like design and research in favor of the raw engineering capacity required to support AI models and supercomputing.

A History of Cuts

Google’s workforce has already been through several waves of layoffs in recent years. In January 2023, the company eliminated about 12,000 jobs — roughly 6% of its global workforce — in one of its largest rounds of cuts ever. That move followed slower advertising revenue growth and mounting costs as the company prepared for an AI arms race sparked by OpenAI’s ChatGPT. Later that same year, further reductions were made across recruiting and other non-technical divisions.

Other tech giants have followed similar patterns. Microsoft cut about 10,000 workers in early 2023 and announced another 9,000 in July 2025, with the company acknowledging that resources were being funneled into cloud and AI services. Meta launched what CEO Mark Zuckerberg called its “year of efficiency” in 2023, eliminating more than 20,000 roles and flattening its management structure, only to continue trimming teams as it shifted more investment into generative AI and immersive platforms. Amazon, too, has cut tens of thousands of jobs since late 2022, hitting its retail, devices, and cloud divisions.

No End in Sight

What is increasingly clear is that these job cuts are not temporary corrections but part of a structural transformation in Big Tech. As AI systems grow more capable, many roles tied to design, support, and even middle management are being sidelined. Analysts believe this trend will accelerate rather than slow down, as companies trade traditional headcount for the data centers, chips, and algorithmic research needed to stay ahead in the AI race.

It is believed that every new leap in AI makes more categories of work redundant. Thus, if Google and its peers can get better results through AI-driven processes and infrastructure, there’s little incentive to keep large teams doing the old work.

Against this backdrop, the message for employees across Silicon Valley is that the more AI improves, the more human workers risk being cut.