... whose business models based on revenue flows are most undermined (e.g., purely advertising models) are viewed more cautiously by the market. Fundamental analysis of tech giants’ stocks increasingly includes an assessment of intangible assets —data, algorithms, and human competencies in AI—alongside traditional metrics of profit and revenue. Importantly, current stock prices already partly reflect expectations regarding companies’ AI strategies. High multiples for tech giants are largely justified by investor faith in their ability ...

... VIRTUAL has the potential for further growth. Institutional investors find the project appealing as an early entry into the AI + DeFi sector, but thorough competitive analysis and evaluation of the platform's actual utility are essential. 3. Aergo (AERGO) ... ... combines hybrid blockchain (both public and private) with high performance. The Aergo network utilizes a combination of consensus algorithms: Delegated Proof-of-Stake for the public chain (DPoS, over 10k transactions/sec) and Proof-of-Authority for private ...

... technically complex solutions aimed at scaling the DeFi ecosystem, enhancing the chances of successful integration into existing protocols. 4. YZi Labs (formerly Binance Labs): Synergy of AI and RWA YZi Labs are targeting promising directions: Gata AI (Seed $4M): Developing neural network algorithms for processing vast amounts of data, creating risk analysis tools and trading signals. Opinion Labs (Social, Seed $5M): A platform for gathering user opinions and social trading. Plume (RWA, Funding Round): Offering solutions for the tokenization ...

... experimental, or the team opted for community financing. In terms of valuation, the high FDV relative to current capitalization implies serious expectations for growth: the value of the PROMPT token will directly depend on whether the platform can attract AI solution developers and users willing to entrust algorithms with managing their cryptoassets. For professional cryptocurrency investors, it is one of the examples where the risks of innovation (uncertain demand for a completely novel product) combine with the potential for high returns if AI agents ...

... Miners have navigated the reduction in awards, partly compensating through price growth and efficiency, while Bitcoin's automatic algorithm maintained economic equilibrium by alleviating difficulty. For institutional and private investors, these developments ... ... sector, while experiencing temporary challenges, demonstrates readiness for change – from selling accumulated BTC to exploring AI infrastructure – which, in the long term, may strengthen both the companies themselves and the reliability of the entire ...