The global venture capital market is undergoing a fundamental transformation. Artificial intelligence is no longer just a buzzword—it is now the primary driver of capital. At the recent AI FUTURE STAGE conference, leading experts from the technology and venture capital sectors gathered to analyze where billions are actually flowing and how investors assess the effectiveness of AI solutions.
Key Trends and Practical Cases
The discussion featured Ventures Synergy head Ilya Cheremkin, Jets.Capital analyst Svyatoslav Safonov, Yandex Cloud startup program head Nikita Razhev, Rostelecom global markets department managing director Dmitry Reidman, and ChuckaVC general partner Martin Kohlhauser. The moderator was Alevtina Labyuk.
The key agenda question: how to distinguish a truly working AI product from hype. The speakers agreed that the main criterion for an investor today is not just the technology, but its ability to generate measurable economic impact. Special emphasis was placed on comparing investment approaches in Russia and abroad. It turned out that Russian funds increasingly prefer projects with quick payback, while global players are willing to wait years for scaling.
Startup Mistakes and Success Metrics
A separate block of the discussion was devoted to typical founder miscalculations. Experts analyzed in detail how incorrect project presentation or miscalculated ROI kills venture fund interest. "The most common mistake is confusing AI implementation with magic. Businesses buy not a neural network, but cost reduction or revenue growth," participants noted.
The practical part included an analysis of methods for calculating the economic effect of automating B2B processes, including assessment in man-hours. The speakers emphasized the importance of pilot projects and hypothesis testing before scaling.
My analysis: The market is moving from the "experiments for the sake of experiments" phase to hard pragmatism. Investors are no longer willing to pay for beautiful demos—they need numbers. For the crypto industry, this is a signal: projects that can integrate AI into the real economy with measurable impact will receive the main funding in 2024-2025. The rest will be left behind.