How AI Will Impact the Venture Capital and Startup Industry in 2025: Expert Opinions
Author - Mansur Ismagulov
The Tech AI
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In 2025, AI will transform the venture industry and business processes. Alim Khamitov (MOST Ventures, Almaty) notes the acceleration of deal analysis and the integration of AI into traditional industries, as well as plans for active investments. Aizhan Alisheva (Bishkek) points to the reduction of startup development timelines from six to two or three months and the automation of communications. Yelzhan Kusekbayev (MA7 Angels Club, Almaty) highlights the use of AI for document analysis, founder sourcing, and portfolio forecasting.
AI is rapidly transforming entrepreneurship, investments, and corporate processes. In 2025, we can expect even more automation, accelerated business processes, and new challenges. Experts from the venture industry and startup ecosystem shared how artificial intelligence affects their work today and what trends we can expect in the near future.
Alim Khamitov, city — Almaty, venture investor, head of MOST Ventures funds, Instagram
AI is already transforming the venture industry and the entrepreneurial environment as a whole. For us at MOST Ventures, this is primarily a tool for more accurate deal analysis, risk forecasting, and identifying promising startups. We see that AI helps entrepreneurs test hypotheses faster, optimize operational processes, and enter new markets.
The main trend I see is the widespread integration of AI into traditional industries, which opens up new niches for investment. At the same time, challenges are emerging: ethical issues, algorithm transparency, and the need for legislative regulation.
At MOST Ventures, we view AI not only as a technology but also as an opportunity to create sustainable, socially responsible solutions. We plan to invest more actively in AI.
Aizhan Alisherova, city — Bishkek, head of acceleration programs, Instagram
AI undoubtedly affects the field of my activity:
1. It accelerates processes that previously took my team a whole day — for example, preparing texts for letters, invitations, announcements, and checking them for grammar.
2. It automates the creation of presentation materials for stakeholders.
3. With AI, more mature startups are emerging. If it used to take six months to nurture a startup, today it takes two to three months.
4. Automated creation of content, code, and design accelerates product time-to-market.
Thanks to AI, it is easier to analyze data for decision-making in any field.
The implementation of chatbots reduces the heavy burden on communication with the outside world, minimizing the risks of bad moods or incompetence of people.
Key trends:
— the emergence of co-pilots in corporate customer service companies. In the US, such solutions already exist. A transition from call centers to full automation of handling customer complaints and requests using AI is expected. It is possible that call centers will no longer be necessary at all.
— AI will be used exclusively for decision-making, and perhaps lengthy executive meetings will become a thing of the past.
— the accessibility of AI helps startups with limited resources compete with large companies. Therefore, it can be expected that large companies will either actively collaborate with such startups, acquire them, or be forced to adapt.
Yelzhan Kusekbayev, city — Almaty, CEO of MA7 Angels Club, Instagram
We see many projects in B2B-SaaS using AI to optimize and improve efficiency in various industries.
In the venture industry, AI is already actively used in different areas:
1. Automated analysis of investment documentation — services capable of generating investment conclusions at the level of a junior analyst based on the analysis of startup presentations.
2. Identifying promising founders — AI algorithms analyzing LinkedIn and other resources to identify specialists who have left their jobs and are creating new startups.
3. Venture portfolio monitoring and forecasting — tools that allow analyzing portfolio structure, forecasting its development, and optimizing strategies for subsequent investments.
4. CRM systems with AI analytics — solutions that automatically collect additional information about counterparties and potential investment opportunities.
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