


Against the backdrop of artificial intelligence continuously reshaping the global industrial landscape, Forbes China hosted a cutting-edge technology-themed event at the Shenzhen Media Group Financial Center on December 23, 2025, and held the launch ceremony for the 3rd Forbes China Top 50 AI Tech Companies Selection (South China Selection Session).
The event brought together representatives from relevant government departments, experts and scholars, founders of AI companies, investment institutions, and representatives of international organizations. Discussions centered on the evolution of AI technology, industrial collaboration, and modes of capital participation, with a focus on the structural issues arising as AI enters a phase of large-scale development.

At this event, OGBC Premier Founding Partner Angela Wang was invited to participate in a roundtable discussion, sharing insights on the bubbles and opportunities in the AI era. She opened by stating:
"AI is not simply an investment sector to be defined; it is a systemic rewriting of productivity and production organization."

In the current climate of highly active AI investment and financing with significant market sentiment divergence, the perspective offered by OGBC Premier is not one of simple optimism or caution. Instead, it emphasizes establishing clearer screening mechanisms within a bubble environment. Angela pointed out that the existence of bubbles does not imply a lack of value in the technology or industry, but it requires investors to pay closer attention to value realization pathways, cost structures, and the ability to navigate cycles.
The positive significance of this viewpoint lies in providing companies and investors with a more reusable analytical framework: not fixating on betting on a specific generation of models or short-term technological leadership, but returning to more fundamental questions—where is change happening, at what cost, and which factors possess long-term constraining power. This logic also aligns closely with the long-term value and industrial depth emphasized by Forbes China in recent years.
In her presentation, Angela discussed three levels: capital structure, organizational form, and underlying constraints.
At the capital level, current AI investment and financing show a clear trend of concentration. Funds primarily flow to a few foundational model companies and specific regions, driving valuations upward rapidly. This structure increases overall market enthusiasm while also raising the possibility of price deviations from fundamentals in early stages.
At the organizational level, AI has already had a substantive impact on work methods. An increasing number of knowledge-based tasks are shifting from "creating from scratch" to a process of "AI drafting, human judgment, and iteration." Concurrently, related research indicates that among companies adopting generative AI, hiring for entry-level and junior positions is contracting. This change reflects an adjustment in organizational structure rather than simple job replacement.
At the technology and resource level, the core mechanisms that drove AI development in the past (data, models, and computing power) remain effective, but marginal conditions are changing. Data is shifting from quantity to quality, computing power from scale to efficiency, while power supply and grid expansion are gradually becoming non-negligible real-world constraints.

After identifying constraints in computing power and electricity, OGBC Premier does not place bets on a single technological path. Instead, it adopts a "dual-engine" configuration structure to cover the uncertainties that have not yet converged during AI's technological evolution. On one hand, based on the judgment that progress in large models and systems engineering will continue, OGBC Premier focuses on mainline variables with higher certainty, paying attention to the foundational conditions supporting large-scale expansion. This includes computing power efficiency, data center capabilities, and stable, scalable power supply, viewing nuclear energy and other dispatchable clean energy sources as long-term foundational variables.
On the other hand, OGBC Premier also encompasses long-term option configurations with higher uncertainty but potentially nonlinear returns. It delves into fundamental research, focusing on methodological breakthroughs that could rewrite cost structures, including technologies such as quantum computing.
Through the "dual-engine" structure, OGBC Premier achieves a balance at the portfolio level between mid-term certain paths and long-term potential breakthroughs. In the allocation process, it emphasizes diversification, liquidity layering, and risk budget management, continuously calibrating risk and return through verifiable progress and reviewable post-investment mechanisms.
OGBC Premier is a fund platform focused on investments in emerging technologies. With the core positioning of "Investing in Hidden Gems in Emerging Tech," we primarily seek "hidden champions" possessing technological barriers, industrial implementation capabilities, long-term compound growth potential, and the ability to achieve cross-cycle growth, yet not fully priced by the market.
The strengths of OGBC Premier lie in:
Dual-Perspective Capability: Combining cutting-edge technology investment acumen with long-term capital governance thinking;
Rigorous Due Diligence System: Centered on commercial closed loops, unit economic models, compliance, and cost constraints as core evaluation dimensions;
Ecosystem Synergy Capability: Connecting industry, capital, and global innovation networks to support the long-term growth of portfolio companies.
At this Forbes China event, OGBC Premier presented not a singular technological judgment, but an investment logic that places AI within a larger framework of industrial and resource constraints. This perspective also reflects the ongoing shift in global technology investment—from chasing single-point technological breakthroughs to understanding the long-term constraints and underlying structures behind the rewriting of productivity.




