A single AI-produced comic drama generated 80 yuan in revenue for June and 75,000 yuan in July, yet it sparked a cumulative 93.47% surge in a company's share price.

Traditional textbook publisher Heilongjiang Publishing & Media Holdings Co., Ltd. became the most extreme example of AI content speculation on the A-share market in late August and early September 2026. After the Shanghai Stock Exchange issued a regulatory warning against the company and its then board secretary Sun Fujun for inaccurate information disclosure, insufficient risk warnings, and inconsistent statements, this stock rally—driven by traffic narratives and disconnected from fundamentals—has exposed multiple risks in the AIGC comic drama sector, including commercialization challenges, concept speculation, and compliance loopholes.

A Single Disclosure in the Half-Year Report Ignites a Speculative Frenzy

The catalyst came from Heilongjiang Publishing & Media Holdings Co., Ltd.'s half-year report released on August 26, 2026. In the digital transformation section, the company briefly noted that its first AI comic drama, "Time Travel 1988," had completed 170 episodes with over 120 million total views and a Hongguo heat score exceeding 40 million, while also mentioning upgrades to its "Gengyun" large model and the rollout of digital education products.

This short description, coinciding with rising market enthusiasm for AI short dramas and comic dramas, was quickly interpreted by investors as a landmark breakthrough by a traditional publisher entering the AIGC content space. Starting August 31, the stock hit consecutive daily limits, with cumulative gains of 93.47% by September 8—a sharp contrast to the negligible revenue generated by the company's AI business.

After the stock's consecutive limit-ups, the company issued several announcements. On September 1 and 2, risk warnings stated that "the AI video business has not generated operating revenue." However, on September 3, the company revised its stance, disclosing that the AI video business generated approximately 80 yuan in June and 75,000 yuan in July, representing less than 0.01% of audited revenue for 2025.

The reversal from "no revenue" to "80 yuan in June" immediately drew regulatory attention. On September 4, the Shanghai Stock Exchange issued a regulatory warning against the company and its board secretary, citing that the half-year report only highlighted viewership data without fully disclosing revenue scale and performance impact, and that subsequent announcements contained contradictory information, creating a risk of misleading investors.

Traffic Does Not Equal Revenue

Market participants treated 120 million views as equivalent to commercial value, overlooking the reality that views do not translate directly into paid revenue. Platform advertising revenue sharing and short drama distribution settlements involve delays and extremely low per-unit rates, meaning even massive traffic generates weak monetization. The company later explained that "Time Travel 1988" launched in late June, limiting June revenue to just 80 yuan—confirming that high viewership does not directly convert to profits.

Hongguo short drama app data shows that the first part of "Time Travel 1988" has seen its heat score drop below 40 million, with a rating of only 7.1 out of 10 based on 311 user ratings. The second part has even lower engagement. Combined, both parts have only 150,000 total favorites.

By comparison, another AI comic drama based on the same original novel has over 1.06 million favorites for its first part alone and has been updated to its tenth installment with a heat score exceeding 45 million. According to DataEye's industry monitoring data for the first half of 2026, among 221,900 newly launched AI dramas and AI comic dramas on Douyin, only 1,055 surpassed 100 million views—a rate of just 0.47%. While "Time Travel 1988" exceeded 99.5% of new releases, its 120 million views barely crossed the threshold and did not even place it in the top 100 most popular AI comic dramas on Douyin, where the entry bar was 281 million views.

A Tiny Pilot Project Cannot Support a Doubling in Valuation

Heilongjiang Publishing & Media Holdings Co., Ltd.'s core business is textbook publishing, book distribution, and printing—a typical regional state-owned publisher heavily dependent on primary and secondary school textbook distribution in Heilongjiang Province. The company faces persistent pressure from declining student numbers. In the first half of 2026, the company posted revenue of 659 million yuan, up 5.62% year-on-year, but net profit attributable to shareholders fell sharply by 34.46% to 78.68 million yuan.

The AI comic drama represents just a pilot project within the company's digital transformation efforts. With June revenue of 80 yuan and July revenue of 75,000 yuan, this is negligible income from an experimental phase, accounting for an almost imperceptible share of total revenue. The company itself repeatedly warned that the AI video business is currently too small to change its overall operating fundamentals in the short term.

A common misconception in capital markets is equating platform traffic metrics—views, heat scores—with financial metrics. They do not represent cash flow or profit. The AI comic drama sector typically uses revenue-sharing models based on effective viewing time, payment conversion, and ad impressions, characterized by low share ratios, long settlement cycles, short content lifecycles, and extremely low hit rates. Even with hundreds of millions of views, free comic dramas may generate very modest revenue sharing.

Cost pressures are equally significant. While AI-generated imagery reduces hand-drawn comic costs, script licensing, IP adaptation, voice work, editing, platform promotion, and content review all require ongoing investment. The company has only completed its first production without establishing a stable content pipeline, mature IP reserves, or scalable operations—this is a small-scale trial-and-error project without the foundation for commercial replication.

In short, this AI comic drama business represents an exploratory pilot by a traditional publisher, characterized by minimal investment, verification-stage operations, and negligible revenue. It lacks the foundation for performance explosion and cannot justify a near-doubling of valuation in such a short period. The stock's rise stems entirely from thematic sentiment and capital speculation, not fundamental improvement.

Traffic Narratives Cannot Replace Financial Facts

This regulatory warning highlights a long-standing disclosure problem in A-share AI-themed speculation: listed companies eagerly tout non-financial metrics like traffic, users, and views while downplaying or hiding actual revenue, costs, profits, and business stage. During periods of high thematic enthusiasm, this invites speculative trading; when stock prices fluctuate wildly, contradictory risk warnings amplify the risk of misleading investors.

The Shanghai Stock Exchange's warning emphasized that disclosures involving the AI video business must be prudent and objective, fully revealing business scale and performance impact. Heilongjiang Publishing & Media Holdings Co., Ltd. highlighted viewership in its half-year report without noting that the business was still in pilot phase with near-zero revenue. Subsequent announcements first claimed no revenue, then corrected to disclose 80 yuan, creating contradictory information that constitutes a disclosure defect.

For investors, this case serves as a powerful warning. In hot sectors like AI, robotics, and computing power, announcements about digital transformation and new technology pilots often prioritize showcasing user numbers, views, and test implementations while deliberately obscuring commercialization stage, revenue scale, and losses. Such disclosures carry narrative-driven characteristics easily amplified during thematic market cycles.

Regulators have repeatedly issued risk warnings about AI short drama and AIGC content speculation, clearly distinguishing between "technical pilots, sample launches" and "scaled commercialization." Many AI projects at traditional media and publishing companies remain at prototype or small-batch testing stages, far from stable profitability. When disclosing innovative businesses, listed companies should present traffic data alongside financial data, clearly explaining the business stage and performance impact, rather than relying solely on traffic heat to create imagination space.

Multiple Uncertainties Remain in AI Comic Drama Commercialization

AI comic dramas and AI short dramas are among the fastest-growing AIGC content segments. With AI-driven illustration, voice generation, and editing tools, production costs per episode have dropped dramatically, attracting numerous small creators and content companies to platforms like Hongguo and Fanqie. While industry supply is surging and market imagination is expanding, the sector remains in early stages with multiple risks rather than universal high profitability.

First, the monetization model is fragile, with a severe mismatch between traffic and revenue. Free comic dramas rely primarily on advertising revenue sharing, while paid dramas depend on user purchases to unlock episodes. The industry sees viewership numbers easily spike, but effective viewing and payment conversion rates remain low. Platform revenue sharing layers on numerous deductions, resulting in "high traffic, low returns" for most works—the Heilongjiang Publishing & Media Holdings Co., Ltd. case being a typical example. Hit content is highly unpredictable and cannot be reliably replicated, making sustained, predictable income difficult to achieve.

Second, copyright and content compliance risks are prominent. AI comic drama scripts often adapt web novels, requiring original IP licensing. AI-generated imagery raises training data copyright disputes, while short drama content faces strict content review with potential removal and traffic throttling risks. Any IP dispute or tightened content review could force completed works offline, losing all prior investment.

Third, industry competition is rapidly intensifying with low barriers to entry. AI tool barriers continue to decline, drawing numerous participants into the sector, leading to severe content homogenization. Platform algorithms favor high-conflict, fast-paced plots, content supply is oversupplied, traffic costs keep rising, and price wars may emerge, compressing revenue-sharing margins. Traditional publishers entering this space lack short video content operations, promotion, and hit script reserves, making sustained competitive advantages difficult to establish.

Fourth, technological iteration risks persist. AIGC models evolve rapidly, with current AI comic drama visual quality and narrative capabilities continuously upgrading. Companies that fail to continually update tools and production processes will see existing production models quickly become obsolete. Computing power and model invocation costs will also persistently impact project profitability.

From an industry macro perspective, AIGC content holds long-term development potential, but the near-term remains a validation period where most participants struggle to profit. Market participants often equate technological implementation with performance realization and equate a single work's traffic heat with a company's long-term growth trajectory—this is the core cognitive trap of thematic speculation.

Distinguishing Technical Pilots from Performance Realization

The recent rally in Heilongjiang Publishing & Media Holdings Co., Ltd. shares is a textbook case of "concept-first, fundamentals-absent" speculation. Several layers of risk deserve investor attention:

First, valuation risk. The 93.47% short-term gain is entirely driven by capital sentiment, with the AI comic drama business contributing virtually no revenue or profit. Once market enthusiasm for AI themes fades and capital withdraws, the stock faces significant correction pressure, with high-position buyers potentially suffering substantial losses. After the trading halt review, valuation normalization pressure remains.

Second, business sustainability risk. The AI comic drama is merely a small-scale pilot. Whether the project can sustain new episode output, secure stable revenue sharing, and control production costs remains uncertain. Even if subsequent works achieve higher viewership, converting that into meaningful net profit is far from guaranteed and cannot reverse the growth pressures of the traditional textbook business.

Third, disclosure and regulatory risk. This regulatory warning represents a formal assessment of the company's disclosure practices. Regulators will continue monitoring the quality of digital business disclosures. Further deficiencies could invite additional regulatory measures, affecting market assessment of corporate governance. Regulators are also tightening scrutiny of AI concept speculation, with inquiries, warnings, and investigations becoming routine for companies exaggerating business progress.

Fourth, industry systemic risk. The commercialization logic for the AI comic drama sector has not been fully validated. Changes in platform policies, content regulation, or copyright rules could directly impact the business. Short-term industry trends should not be equated with long-term growth drivers for listed companies.

The capital market's embrace of AIGC technological change is understandable, but investment value ultimately rests on revenue, cash flow, and profit—not on traffic stories like view counts and heat scores. Amid the AI theme wave, investors should carefully assess the business stage, financial contribution, and competitive barriers of listed companies, prudently distinguishing between long-term industry trends and short-term capital speculation, and remain wary of investment losses from theme-based trading detached from fundamentals.