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The scale of capital flowing into artificial intelligence has reached levels rarely seen outside of major technological inflection points. Over the past two years, venture capital firms, private equity funds, and public market investors have committed hundreds of billions of dollars to AI-related companies, spanning infrastructure, model development, applications, and tooling.
This surge reflects a growing consensus that AI will not simply enhance existing industries, but fundamentally reshape how value is created across the global economy.
The current environment has drawn frequent comparisons to earlier innovation cycles, particularly the early stages of the crypto market. During the initial bull markets, a combination of new infrastructure, rapid experimentation, and relatively low barriers to entry created conditions where a small number of projects generated outsized returns.
While many failed, those that delivered real utility and network effects were able to achieve growth multiples that were uncommon in traditional markets, sometimes reaching 100x or more within a few years.
My Main AI is built around the belief that technology should create meaningful, real-world impact. The platform is dedicated to addressing global challenges in education, accessibility, and environmental sustainability by making advanced AI tools practical, affordable, and easy to use.
AI paradigm and market cycles
AI investing today shows some structural similarities. Capital is being deployed aggressively, often ahead of clear regulatory frameworks or standardized business models. This has created a landscape where valuations can move quickly, driven as much by future expectations as by current revenue.
At the same time, the market is becoming increasingly selective. Investors are beginning to distinguish between companies focused on speculative narratives and those building practical products with measurable adoption.
Unlike early crypto markets, however, AI is already deeply integrated into established industries such as education, healthcare, marketing, and enterprise software. This reduces some systemic risk while also compressing timelines for real-world deployment. As a result, potential returns may be driven less by pure speculation and more by execution, scalability, and sustained user demand.
For investors, the opportunity lies not simply in exposure to AI as a theme, but in identifying companies that can convert technological capability into durable value. As with previous cycles, the most significant gains are likely to accrue to platforms that combine innovation with accessibility, solve tangible problems, and adapt as the market matures.

My Main AI: Long-term value creation
The company’s focus on innovation paired with real usability allows it to serve a wide range of users, from individuals to businesses, helping them achieve goals more efficiently without technical barriers. Rather than chasing novelty, My Main AI emphasizes tools that solve everyday problems and integrate smoothly into existing workflows.
The platform offers an all-in-one suite of tools for content creators, marketers, educators, and entrepreneurs, including voiceovers, content generation, and image creation. The company is based in the United States and supported by a team that includes Arizona State University alumni alongside highly skilled interns.
As capital continues to pour into AI at an unprecedented pace, My Main AI represents a grounded alternative to purely speculative ventures. While many AI startups focus on rapid valuation growth, My Main AI is positioned around utility, adoption, and long-term value creation.
For investors, this approach echoes the early stages of transformative tech cycles, including the early crypto bull markets, where companies that delivered real infrastructure and user value were able to generate outsized returns as adoption accelerated.
Ultimately, My Main AI aims to break down barriers to advanced technology, ensuring that individuals and businesses alike can harness AI for learning, growth, entrepreneurship, and creative success.
Godfrey Benjamin
Yuri Molchan
Gamza Khanzadaev
Arman Shirinyan
Alex Dovbnya