On June 9, China Film Group Corporation (CFG) held its 2025 annual performance briefing, unveiling significant insights through key financial metrics. In 2025, the company reported revenue of 4.833 billion yuan, marking a 5.65% year-on-year increase. However, net profit attributable to shareholders stood at 117 million yuan, a 17.03% decline from the previous year. Excluding non-recurring items, the company incurred a net loss of 162 million yuan, with the loss widening by 87.70% year-on-year. CFG attributed this "revenue growth without corresponding profit growth" to the fact that operating cost increases outstripped revenue growth, underscoring the urgent need to enhance lean operations and tighten cost controls.

One of the most underappreciated aspects of the performance briefing was CFG's strategic emphasis on AI. Rather than indulging in high-profile narratives like "AI generating an entire film," the company highlighted how AI is fundamentally reshaping the development landscape of the film and television industry. At the 2026 Shenzhen Culture Fair, CFG unveiled the latest breakthroughs from the China Film AI Research Institute, focusing on vertical applications tailored to the film industry, such as AI dubbing, director creative assistants, character previews, and scene design. The company also revealed that while The Wandering Earth 3 will predominantly rely on live-action filming, it will integrate cutting-edge technologies including motion capture, high-precision scanning modeling, and virtual production.

This approach represents a more pragmatic and valuable application of AI in today's A-share market. Many companies tout AI in terms of "having a model" or "generating content," but CFG's AI narrative directly tackles its financial pain points. With revenue growing but profits declining and non-recurring losses widening, CFG's real challenge lies not in a lack of innovative concepts but in reining in the escalating cost curve in film production. If AI cannot reduce rework, waste, and potential pitfalls, it risks remaining a mere buzzword in press releases. However, if it can streamline processes like pre-production evaluation, visual previews, post-production dubbing, and virtual production into a reusable workflow, AI becomes a tool for repairing the income statement rather than just a thematic catalyst.

Box office performance is not the sole determinant of a film company's value; cost overruns are the real anchor for valuation.

CFG's performance report offers a microcosm of the broader industry. The 5.65% revenue growth suggests that industry demand remains robust, with distribution, exhibition, and production businesses maintaining momentum. However, the decline in profits and widening non-recurring losses serve as a stark reminder to investors that revenue elasticity and profit elasticity often diverge in the film industry.

The inherent challenge of the film industry lies in its high uncertainty as a project-based business. Success hinges on judgment during project initiation, execution during filming, and aesthetics and technology during post-production. Final revenue is contingent on release schedules, word-of-mouth, marketing efforts, competitive dynamics, and audience sentiment. Any issue in these areas can distort initial budgets. Unlike other industries that can lock in profits through order visibility, the film industry struggles with this. A busy slate does not guarantee stable cash flow, and a rich project pipeline does not ensure that each film can overcome cost pressures.

In the past, capital markets valued film companies based on IP portfolios, project slates, box office performance, market share, and channel resources. However, these metrics are highly volatile. A hit film can quickly restore risk appetite, while an underperforming one can trigger rapid selling and valuation corrections. Investors recognize the value of film content but find it difficult to assign sustained high valuations to "non-replicable hits."

What CFG should focus on now is not whether its next film will be a blockbuster but whether it can transform film production into a more industrialized process. Industrialization does not mean turning creativity into an assembly line but rather quantifying the most unpredictable elements in advance, validating the most rework-prone aspects early, and minimizing costly trial-and-error in lower-cost stages. If this logic succeeds, the market will evaluate the company not just on box office potential but also on gross margins, expense ratios, project cycles, post-production costs, and cash flow improvements.

CFG has a natural advantage: it is not just a content company. Its business spans production, distribution, exhibition, technical services, and more, positioning it closer to industry infrastructure than ordinary film companies. Public information reveals that CFG's operations cover film and series production, domestic and imported film promotion and distribution, cinema investment and management, film and television production, ticketing platforms, and financial leasing services. This means its AI initiatives should be viewed not just as content creation tools but as cross-sectoral industrial efficiency enhancers.

AI should not just grace the screen but be embedded in the budget sheet before filming commences.

The AI directions mentioned by CFG all point to one keyword in the capital market context: proactivity.

Director creative assistants, character previews, and scene design address information gaps before production begins. Much of the money spent in film production goes not to the final product but to repeated communication, trial-and-error, and revisions. A poorly designed character, a mismatched scene budget, an unfilmable action sequence, or an unworkable visual concept can all lead to additional costs. AI's value lies not in making decisions for directors but in helping teams visualize the consequences of their choices earlier.

Character previews and scene design enable faster alignment among creative, production, and technical teams before filming starts. Visual plans move beyond concept art and verbal descriptions to resemble actual shots, scenes, blocking, and budgets. Virtual production, high-precision scanning modeling, and motion capture further reduce unpredictability on set. For a heavy-industry film like The Wandering Earth 3, live-action remains central, but technological systems determine whether filming is more precise, controlled, and waste-free. The company explicitly stated during the performance briefing that The Wandering Earth 3 will primarily use live-action filming supplemented by cutting-edge technologies like motion capture, high-precision scanning modeling, and virtual production. Some scenes will even be shot using CFG's newly developed CINITY cameras to enhance clarity and immersion.

The Wandering Earth 3 also signaled an earlier shift. At its 2025 production launch, the filmmakers showcased WEi, a proprietary AI Q&A application developed in-house. Its knowledge base includes internal materials like scripts, world-building, chronologies, character bios, and art designs from the Wandering Earth series, as well as online professional references, images, and film/TV examples to improve retrieval and consistency. Such tools are less flashy than AI-generated videos but are crucial for industrial films. Sci-fi films risk worldbuilding inconsistencies, franchises risk conflicting lore, and heavy-industry productions risk miscommunication between departments. By reducing communication costs and lore errors, AI assistants essentially lower hidden rework rates.

AI dubbing represents another undervalued area. If CFG focuses solely on the domestic theatrical market, growth will remain constrained by release schedules and box office cycles. To enhance multi-language distribution, overseas reach, and long-tail copyright monetization, dubbing efficiency becomes a marginal cost issue. Traditional dubbing, voice matching, subtitle review, and multi-language version management all require significant time and labor. AI may not immediately replace professional workflows but can significantly reduce costs for drafting, proofreading, alignment, and version management. For a company with a film library, distribution experience, and international ambitions, dubbing tools are not just nice-to-haves but potential long-term assets.

Thus, CFG's AI strategy should be evaluated through three lenses: the project initiation lens (can AI improve script evaluation, visual style, and production feasibility visibility?), the budget lens (can AI reduce rework, shorten cycles, and lower per-film marginal costs?), and the revenue lens (can AI dubbing and toolchains generate external service revenue, boost overseas distribution efficiency, and expand copyright monetization?). Only when all three lenses show marginal improvements will AI transition from a news headline to a valuation driver.

The real capital story is whether CFG can evolve from a project-based company into a film industry tool provider.

In its 2026–2030 strategic development plan, CFG has identified AI as a core innovation area, proposing to drive AI applications across creation, production, distribution, and exhibition while consolidating its leading position in AI scenarios for the film industry. On the creative side, it aims to use AI to reshape film production workflows, enhance script evaluation, visual previews, and post-production efficiency, achieve effective cost control, upgrade production services, and build an integrated AIGC content production platform.

Translated into capital market terms, the focus is not on "full-chain applications" but on whether CFG can shift from project-based revenue to tool-based, service-based, and platform-based revenue. Film companies reliant on individual hits are vulnerable to release schedules and box office fluctuations, while film industry infrastructure companies that monetize processes, tools, standards, and services enjoy more stable cash flow and different valuation anchors.

Overseas film industries have long demonstrated that heavy-industry content relies on toolchains. Virtual production, motion capture, asset library management, rendering pipelines, sound production, multi-language localization, and cinema technology standards all represent infrastructure-level capabilities. China's film industry has historically lagged not in imagination but in the standardization, reusability, and collaboration efficiency of industrial processes. If CFG leverages AI to systematize these capabilities into exportable solutions, its story will extend beyond its own film slate to the broader film industry upgrade.

In the short term, trading logic will lean toward thematic enthusiasm and sentiment recovery. AI applications, film industry recovery, and The Wandering Earth 3's technological demonstrations could serve as catalysts. Medium-term, the market will scrutinize cost control metrics, particularly gross margins, non-recurring profits, operating cash flow, production cycles, and post-production costs. Long-term, external commercialization will be key: Will the China Film AI Research Institute's achievements lead to productization? Will AI dubbing attract clients? Can director creative assistants, character previews, and scene design serve external crews? Will the AIGC production platform generate orders?

Uncertainties remain. AI tools may initially increase R&D investment, pressuring short-term profits. Improved efficiency does not guarantee audience ticket purchases. Copyright ownership, actor rights, regulatory oversight of generated content, and aesthetic controversies could introduce new variables. Moreover, no tool can replace core content judgment in filmmaking. AI can improve success rates but cannot guarantee hits.

Conclusion: The Strongest AI Story Ultimately Comes Down to "Losing Less, Moving Faster, Staying Steadier"

The value of CFG's AI narrative lies in its avoidance of abstraction. The company faces concrete financial pressures: revenue growth, profit decline, widening non-recurring losses, and costs outpacing revenue. Its AI strategy must likewise be concrete: Can it improve project initiation accuracy? Can it make filming more controllable? Can it reduce post-production costs? Can it enhance distribution efficiency?

Capital markets do not reward "technologically advanced" narratives indefinitely but tools that restructure profit models. CFG's best story is not about AI creating the next blockbuster but about AI making expensive, slow, and rework-prone film industry processes predictable, evaluable, and reusable. Its true valuation shift will not be from film company to AI company but from project-volatile company to film industry efficiency platform.

This path will not deliver immediate results. Short-term indicators for direct revenue remain soft. However, amid a sea of vague AI concepts in the A-share market, CFG offers a more income statement-focused answer: AI is not just a gimmick but a cost controller. The next wave of asset revaluation in the film industry may begin not on screen but in budget sheets.