"Interim results to be released by end-August 2026" — What’s driving Bailian Intelligence’s urgent share buybacks?

On the evening of July 28 · HKEX stock 6608 BrainsightAI issued a profit warning — forecasting a loss of RMB 320–360 million for the first half of 2026.

According to post-market announcements filed with the Hong Kong Stock Exchange from July 29 to July 31, the company has conducted open-market share buybacks for three consecutive days.

First, understand the loss: revenue was impacted, but AI investment hasn’t stopped

To understand why BAIROUN Intelligence repurchased its own shares the day after issuing a profit warning, one must first understand the 'loss structure' behind that warning.

The profit warning announcement disclosed that the company expects a loss of RMB 320 million to RMB 360 million for the first half of 2026, swinging from profit to loss. On the surface, this appears to be an exceptionally grim announcement.

However, breaking down the reasons for the changes stated in the profit warning reveals that the losses stem neither from poor management nor operational失控, but rather from a deliberate reallocation of resources.：

The original wording of the profit warning states: 'Although sales expenses have decreased significantly year-over-year, the Group has continued to substantially increase its R&D investment in artificial intelligence, resulting in only a modest overall decline in expenses.'

From a financial perspective, this sentence needs to be unpacked in two layers:

• First layer · Revenue-side shock — Revenue from certain mature businesses has declined sharply;

• Second layer · Expenses did not decrease proportionally ——

Because the company chose to continue ramping up its AI R&D investment during this period of revenue pressure.

Under traditional financial frameworks, most companies would cut R&D spending to protect profits when revenues decline —

This is the quickest path to making financial results look strong in the short term.

But BRF Intelligence has chosen a different route—refusing to cut R&D or reduce AI investment, and even accepting a swing from profit to loss to keep betting on AI. This decision is the real industry signal worth deciphering in this profit warning: embracing AI at the cost of short-term earnings reflects a strategic reallocation of resources, not operational mismanagement.

Where is BRF focusing its AI investments?

To assess whether such AI investments are effective, one must first understand BRF’s specific AI focus areas—because AI is a broad field, and different investment directions lead to entirely distinct output logics.

BRF does not build general-purpose large models or generic AI applications—it concentrates on two key initiatives within the AICC (AI-powered Intelligent Contact Center) domain:：

• Refining vertical foundation models for AICC ——

Specifically developing state-of-the-art (SOTA) vertical models tailored for intelligent contact scenarios, covering voice calls, conversations, dialogue understanding, and script generation;

• Refining AI-powered digital customer service agents —by packaging AICC

vertical foundation models into enterprise-grade AI Agent products capable of directly replacing human agents.

In other words — BAI RONG’s AI investment is not burning money on a generic large model that claims to do everything but excels at nothing; instead, it is pushing the technical capabilities of its AICC vertical to state-of-the-art (SOTA) levels and refining its silicon-based customer service product to a point where it can scalably replace human agents.

This represents a relatively 'narrow' yet 'deep' AI investment strategy — narrowing the scope of application scenarios in exchange for greater depth within those scenarios. Understanding this strategic focus clarifies why there is only one metric that matters in evaluating the effectiveness of BAI RONG’s AI investment: Does the AICC vertical foundation model possess cross-industry capability to deploy silicon-based customer service solutions?

The critical question: Is such resolute AI investment truly effective?

This is the very question every investor asks upon seeing financial reports showing 'relentless AI investment coupled with a swing from profit to loss':

Has this approach — sacrificing short-term profits to persistently invest in AI R&D — actually yielded tangible results? Has the company’s bet on AICC core technology genuinely developed into a capability that can be scaled and deployed across real-world applications?

If the answer is no — then the profit warning is merely a notice of losses, signaling that the company is spending shareholders’ money while burning its own future.

If the answer is yes — then the profit warning reflects a strategic choice: trading short-term earnings for a long-term technological moat.

BAI RONG Intelligence provided its own answer in the final paragraph of the same profit warning announcement:

Excerpt from the profit warning announcement: 'Following the reporting period, the Group has continued to make progress in expanding clients across scenarios and has recently achieved substantive implementation with benchmark clients in new sectors such as logistics.'

The proactive disclosure of post-reporting-period business developments indicates that the company wants investors to pay attention to this signal—and that the signal is significant enough to warrant such emphasis.

The profit warning announcement used the phrasing 'substantial implementation with benchmark clients in new scenarios such as logistics'—this represents Bailian Intelligence's substantive AI-driven transformation of the human-agent model in the logistics industry's customer service operations: replacing human call center agents with silicon-based employees.

Why is the logistics implementation worth mentioning in the announcement?

The industrial-scale significance of this signal lies in its validation of three key points (Bailian Intelligence is an AI Agent company that leverages Agentic AI to transform enterprises’ traditional human-resource models through AI):

First · The capability of its vertical AICC SOTA model is real.

Bailian’s long-term strategic bet on AICC (AI-powered Intelligent Contact Center) core technology has proven to be a genuine, enterprise-grade capability that customers are actually purchasing and deploying at scale.

Second · This model suite demonstrates cross-industry capacity to deploy silicon-based employees.

It is not limited solely to serving financial sector clients; rather, it can drive AI-powered transformation of traditional human-resource models across industries including logistics, securities firms, telecom operators, and aviation. This reflects the cross-sector deployment capability of its vertical AICC SOTA model in delivering silicon-based employees.

Third · Silicon-based employees are now entering new industries at scale.

Bailian’s AICC foundational technology, delivered via silicon-based employees (enterprise-grade AI Agents), enables AI-driven transformation of clients’ traditional human call agents, customer service centers, and marketing teams. This capability is no longer confined to a single industry but is now being rolled out systematically across new sectors—including logistics, securities firms, telecom operators, and aviation—to reshape their human-resource models. This marks the critical inflection point where AI transitions from a 'technical capability' into a 'transformative industrial force.'

In other words—the sentence disclosed in the final paragraph of the profit warning announcement provides the most direct answer yet to the pressing question 'Is AI investment effective?' Yes, it is—and it has already crossed the inflection point from lab experimentation to large-scale, real-world deployment.

Returning to the announcement itself, there is one sentence that most investors glossed over at first glance:

‘The Company expects that the relevant results announcement will be published in accordance with the Listing Rules by the end of August 2026.’

This sentence may appear to be routine disclosure—but for investors familiar with Hong Kong stock repurchase rules, it conveys critically important information.

The reason lies in the HKEX Guidance on Share Buybacks:

‘An issuer shall not repurchase its shares on the Exchange within 30 days prior to the earlier of the following dates—the date of the board meeting convened to approve the issuer’s annual, half-yearly, quarterly, or any other interim results.’

In plain English—listed companies enter a ‘black-out period’ 30 days before the board meeting to approve financial results,during which they are prohibited from repurchasing shares.

Therefore, BAI RONG must act quickly on repurchases—because the sooner it acts, the stronger the signal of confidence it sends. If management were uncertain about the company’s prospects following a period of earnings pressure, it would not initiate a buyback the day after issuing a profit warning, with only a few days left in the allowable window. The earlier management acts—the clearer and more urgent its confidence in the future, and the stronger its willingness to back that confidence with real money,which matters far more than the scale of the repurchase itself.

* This article is based on publicly disclosed information from BaiRong Intelligence (6608.HK) and does not constitute any investment advice.

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