Crypto market sentiment is shifting rapidly as meme coins begin showing renewed signs of strength, with Dogecoin and Pepe both entering technical phases that hint at major upside potential. As liquidity flows back into high-volatility assets and trader confidence improves, analysts are once again highlighting the possibility of explosive meme-driven rallies similar to previous market cycles.

Yet even as DOGE and PEPE prepare for strong upward moves, the project dominating long-term ROI discussions is Ozak AI, whose early-stage valuation and AI-native infrastructure give it a far steeper and more sustainable growth curve than traditional meme tokens.

DOGE Shows Strong Revival Momentum

Dogecoin (DOGE), trading near $0.1373, is showing one of the most consistent recoveries among meme assets. The token continues to maintain key support zones at $0.1321, $0.1274, and $0.1225, where long-term holders and speculative buyers have repeatedly accumulated during dips. These levels demonstrate that the DOGE community remains deeply engaged and ready to push the token into the next meme-cycle surge.

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For DOGE to break into a full bullish acceleration, it must clear resistance at $0.1435, $0.1511, and $0.1603, traditionally powerful breakout zones that have triggered sharp multi-week rallies in the past. With social attention increasing and large wallets starting to reposition, analysts believe DOGE could deliver strong multi-x gains. However, despite its potential, DOGE’s large market cap inherently restricts the kind of exponential upside that early-stage AI projects can achieve.

Pepe Prepares for Another High-Volatility Breakout

Pepe (PEPE), trading around $0.000004069, remains one of the fastest-moving meme coins in the market, supported by intense community enthusiasm and strong trading volume. PEPE maintains solid support at $0.00000391, $0.00000376, and $0.00000359, levels where bullish buyers have consistently defended the trend.

A major rally will depend on PEPE breaking through resistance at $0.00000420, $0.00000436, and $0.00000455, each representing historical inflection zones tied to high-volume breakouts. As meme-coin rotation intensifies, analysts expect PEPE to remain one of the most attractive candidates for double-digit or even triple-digit gains. Still, its reliance on social-driven momentum makes it far more unpredictable—and fundamentally weaker—than utility-backed AI projects.

Ozak AI’s Forecast Outshines DOGE and PEPE

Where DOGE and PEPE thrive on virality, Ozak AI (OZ) thrives on utility, intelligence, and technological depth. This is the core reason analysts believe Ozak AI represents the strongest long-term ROI candidate of the three. Ozak AI is developing a real AI-native ecosystem centered on automation, predictive modeling, cross-chain intelligence, and autonomous agents—capabilities that make it relevant to traders, developers, enterprises, and on-chain applications.

Ozak AI’s architecture includes:

• Millisecond-speed prediction engines analyzing real-time market signals
• Cross-chain intelligence modules monitoring multiple blockchains simultaneously
• HIVE-powered 30 ms signal infrastructure delivering extremely fast trading insights
• SINT-driven autonomous AI agents that execute strategies, analyze data, respond to voice instructions, and automate workflows

This deep level of utility places Ozak AI at the center of the fastest-growing global tech narrative: AI automation. As AI applications expand across the crypto ecosystem, Ozak AI becomes one of the most valuable infrastructure layers in the space.

What amplifies its long-term projection is its explosive presale trajectory. With over $4.8 million raised and more than 1 million tokens sold, Ozak AI is tracing the same early-stage growth pattern seen in top-performing altcoins before they produced large-scale returns.

DOGE and PEPE Offer Strong Upside—Ozak AI Leads the Future Curve

Dogecoin has strong community momentum. Pepe brings high-velocity trading and meme-driven upside. Both can deliver strong gains during speculative phases.

But Ozak AI stands alone in terms of long-term ROI potential. Its early-stage valuation, real technological utility, and rapidly expanding AI ecosystem give it the steepest growth curve of the three—making it the project most likely to outperform DOGE and PEPE not just in the next breakout, but throughout the entire 2025–26 cycle.

About Ozak AI

Ozak AI is a blockchain-based crypto project that provides a generation platform that specializes in predictive AI and superior information analytics for financial markets. Through machine learning algorithms and decentralized network technology, Ozak AI permits real-time, correct, and actionable insights to assist crypto enthusiasts and businesses in making the proper decision.

For more, visit:

Website: https://ozak.ai/

Telegram: https://t.me/OzakAGI

Twitter: https://x.com/ozakagi 

Singapore-based software firm Horizon Quantum has announced a major technological milestone, becoming the first private company to run a quantum computer for commercial use in the city-state.

The startup, founded in 2018 by quantum researcher Joe Fitzsimons, confirmed on Wednesday that the machine is now fully operational, utilizing components integrated from leading quantum computing suppliers, including Maybell Quantum, Quantum Machines, and Rigetti Computing.

The move is highly strategic for Horizon Quantum, as it also makes the company the first pure-play quantum software firm to own its own quantum computer—an integration designed to accelerate the development of real-world quantum applications.

Fitzsimons, the CEO, told CNBC, “Our focus is on helping developers to start harnessing quantum computers to do real-world work. How do we take full advantage of these systems? How do we program them?”

He added that while the company is heavily focused on the software side, “it’s really important to understand how the stack works down to the physical level… that’s the reason we have a test bed now.”

Accelerating the Quantum Race

Quantum systems aim to tackle problems too complex for traditional machines by leveraging the principles of quantum mechanics. Applications span industries from pharmaceuticals (designing new drugs through simulating molecular interactions) to finance (running millions of scenarios to assess portfolio risk), problems that are currently slow and computationally costly for conventional machines.

Despite today’s quantum systems remaining in the nascent stages of development, investment and confidence in the technology are soaring. A top executive at Google working on quantum computers stated in March that he believes the technology is only five years away from running practical applications. Nvidia CEO Jensen Huang also offered upbeat remarks in June, saying quantum computing is nearing an “inflection point” and that practical uses may arrive sooner than he had expected.

Investment in the space has been rising rapidly, with tech giants like Alphabet, Microsoft, Amazon, and IBM, along with the U.S. government, pouring millions into quantum computing research and development.

Singapore’s Ambition and Horizon’s Nasdaq Listing

Horizon Quantum’s launch significantly boosts Singapore’s national ambition to cement itself as a regional quantum computing hub. The city-state has been strategically investing in the technology for years, setting up its first quantum research center in 2007.

The National Quantum Strategy (NQS), unveiled in May 2024, pledged approximately S$300 million (Singapore dollars) over five years to strengthen development in the sector, with a significant portion directed toward building local quantum computer processors.

Before Horizon Quantum’s system came online, Singapore reportedly had only one quantum computer, used primarily for academic research. The commercial launch helps validate the government’s investment, especially as U.S.-based firm Quantinuum also plans to deploy another commercial system in Singapore in 2026.

The announcement provides a strong narrative ahead of Horizon Quantum’s plans to go public in the U.S. The startup is planning a merger with dMY Squared Technology Group Inc., a special purpose acquisition company (SPAC). The deal, agreed upon in September, aims to take Horizon public on the Nasdaq under the ticker “HQ.” The firm said in September that the transaction valued the company at around $503 million and was expected to close in the first quarter of 2026.

Salesforce lifted its fiscal 2026 revenue and adjusted profit targets on Wednesday, banking on accelerating adoption of its Agentforce AI platform as large companies rush to integrate autonomous software into daily operations.

The updated outlook pushed the stock more than 2% higher in extended trading and signaled that the firm’s big push into AI is finally generating the kind of commercial traction investors have been waiting to see.

The company said mounting demand for AI agents—systems designed to act on their own and handle tasks that previously required human intervention—is now shaping its pipeline. The shift is widespread across corporate America, with firms looking for automation that cuts costs, speeds up workflows, and improves accuracy in recurring administrative processes. Big Tech players, including Oracle, have moved aggressively into this space, turning AI agents into a central battleground in enterprise software.

For Salesforce, the momentum is showing up in numbers. CEO Marc Benioff said in a statement that the company’s Agentforce and Data 360 products have reached nearly $1.4 billion in annual recurring revenue, climbing 114% in a year. Within that, Agentforce ARR alone exceeded half a billion dollars in the third quarter, more than quadrupling over the same period last year.

Many see the new forecast as evidence that early trials are converting into larger commercial deals. Rebecca Wettemann, chief executive of Valoir, said the guidance boost reflects confidence in Salesforce’s ability to turn today’s small-scale evaluators into full buyers in the months ahead. Her view echoes a broader trend across the market: enterprises that once experimented cautiously with generative and autonomous AI are now accelerating deployments, particularly as early use-cases show measurable productivity gains.

The enthusiasm comes during a period of heightened scrutiny from investors. Salesforce has poured billions into AI infrastructure, model training, data integration tools, and new platform capabilities. Shareholders have repeatedly pushed the firm to prove that these investments can generate sustainable returns, especially as concerns grow that the broader tech economy may be overheating. The company tried to reassure markets earlier in the year when it projected revenue above $60 billion in 2030, topping analysts’ estimates. Wednesday’s revision adds more weight to that long-range target by showing that near-term demand is solid.

The company now expects fiscal 2026 revenue between $41.45 billion and $41.55 billion, up from the prior range of $41.1 billion to $41.3 billion. Adjusted earnings per share were raised to between $11.75 and $11.77, above the earlier range of $11.33 to $11.37.

Salesforce’s third-quarter revenue came in at $10.26 billion. While that was a touch below the $10.27 billion expected by LSEG data, the market largely looked past the narrow gap because the AI-driven segments are showing momentum that traditional subscription lines have lacked over the past year.

The broader industry environment helps explain why Salesforce’s effort is drawing such close attention. AI agents have become the next major competitive front in cloud software after years of model-building and infrastructure races dominated by Nvidia, Microsoft, Google, and Amazon. While those giants continue to shape the supply side through chip production, model development, and hyperscale cloud services, the demand side has shifted noticeably.

Enterprises are moving from experiments to full integration, driven by the need to handle growing workloads with leaner teams. This change is forcing companies to rethink corporate software strategies, and the winners will be those who can blend automation with reliable data governance and customer-facing applications.

Agentforce sits at the center of Salesforce’s attempt to deliver that blend. It connects generative AI, workflow automation, CRM data, and process logic in a single environment. That integration gives Salesforce a lever that certain rivals—especially smaller, standalone AI developers—cannot easily match.

But the market remains open and highly contested. Microsoft is pushing its own Copilot ecosystem deep into enterprise systems, while Oracle is embedding autonomous agents across finance, HR, and supply-chain suites. Google Cloud and Amazon Web Services are also attempting to position their AI agent platforms as central hubs for corporate automation.

The renewed momentum around Agentforce shows that Salesforce sees an opening before these platforms become interchangeable. The company also understands that it needs proof points quickly, because the AI agent landscape is still fluid and customers are testing multiple providers at once. Salesforce’s raised forecast reflects the first time the firm has been able to show that a surge in interest is genuinely translating into multi-year recurring revenue rather than small trials or promotional commitments.

The next stages will test whether this growth can endure as AI adoption becomes more normalized and as enterprises scrutinize vendor lock-in, data security, and long-term costs.