What the latest BlueFocus results suggest for AI-driven reinvention, globalization 2.0, and reimagining the agency business
Beijing, April 24, 2026 /PRNewswire/ — On April 15, BlueFocus announced its 2025 annual financial results along with a letter to investors from CEO Fei Pang. The company reported sales of $10.07 billion, an increase of 12.99% year-on-year, and sales from AI reached $546.05 million, an increase of 210.42%. Taken together, the earnings call and investor letter suggest that BlueFocus is entering a new phase in its AI journey, one in which AI is viewed less as a layer of the story and more as part of the company’s new business infrastructure.
BlueFocus CEO Fei Pan
That’s a more serious signal in the latest disclosure. Three years after launching its “All in AI” strategy, BlueFocus no longer views AI solely as a forward-looking ambition. AI is increasingly tied to broader efforts to contribute to revenue, build products, redesign workflows, and reposition companies toward a more automated and globally distributed marketing environment. As BlueFocus CEO Fei Pan explains, that change requires more than incremental optimization. It requires “a spirit of reinvention, a reinvention, and an ambition to become a new kind of AI company.”
From AI narrative to operational leverage
AI is beginning to challenge traditional agency models in more structured ways. Content production is becoming faster and cheaper, media decision-making is increasingly automated, and parts of historic value chains built on labor-intensive execution are under pressure. For large marketing groups, the question is no longer whether to adopt AI tools, but how deeply AI will reshape the business itself.
BlueFocus’ response was to move beyond tool adoption and push towards broader repositioning. As the company celebrates its 30th anniversary, management is positioning this period less as a new technology upgrade and more as a transition point as BlueFocus seeks to reinvent itself as a more AI-driven marketing technology company. Rather than relying solely on third-party tools and surface-level integrations, we chose to take a heavier route by investing in our own underlying systems and product stack.
The company’s AI-related R&D expenditures (including personnel costs) in 2025 were approximately $26,387,000. At the heart of that push is BlueAI, a multimodal marketing platform that executives describe as the core engine of the company’s AI transition. Based on this, BlueFocus has built a more distinct product stack: STARUNION AI on the influencer marketing side, AdsWin on the ad buying and optimization side, and Xinying creative platform on the content creation side. The importance of this portfolio goes beyond the presence of a few AI-branded products. The more important question is whether these systems are starting to change the way works are created, distributed, and monetized.
That’s where the numbers for 2025 become even more important. BlueFocus reported AI revenue of $546.05 million, an increase of 210.42% year over year. I also said the total token Annual consumption exceeds 1 trillion, suggesting that internal AI use is moving beyond experimentation to large-scale deployment. These numbers are important not as vanity metrics, but as early signs that AI is getting closer to monetization and pervasiveness in workflows. In other words, BlueFocus doesn’t just say it uses AI. We are trying to show that AI is starting to impact revenue contributions, internal production logic, and the structure of service delivery.
This is an important difference. The company’s ambitions extend beyond surface-level AI enablement. It’s about moving closer to an AI-native marketing infrastructure, a system in which campaign execution, media decisions, content production, and internal collaboration are increasingly organized around automation, self-learning systems, and machine-assisted decision-making. This is a much broader proposition than simply deploying tools, and much more difficult to achieve. But it is precisely this transition that gives BlueFocus’ current transition its strategic importance. The long-term goal envisioned by Pan is to “systematically restructure BlueFocus’ existing business using AI-native methodologies so that every business scenario is AI-driven.”
Globalization 2.0: Reinventing the business behind overseas growth
The second major strategic theme in BlueFocus’ latest disclosure is what the company calls Globalization 2.0. Overseas operations have become one of the company’s main commercial engines in recent years. In 2025, outbound ad spending reached $8.282 billion, accounting for more than 80% of total revenue. But at this stage, the more important issue is not just scale. The more important question now is whether that size will translate into a healthier revenue and profit mix over time.
That is the importance of Globalization 2.0. Traditional outbound media buying models can generate significant revenue, but they also come with structural profit constraints. Major platforms’ policies are increasingly transparent, bargaining power is limited, and gross margins remain under pressure. BlueFocus’ response is not to move away from that model, but to move beyond it and shift focus from volume alone to the business structure needed to support future growth.
This logic is most evident in the company’s “5-3-2” framework. Management’s long-term vision is to get 50% of its outbound business from major platforms, 30% from mid-tier media platforms, and 20% from home-built traffic and technology platforms such as Blue X and Blue Turbo. When you read this, you can see that Globalization 2.0 is not just a strategy for overseas growth. This is an attempt to rebalance the business behind overseas growth and build a more diversified profit mix over time.
The same pattern applies to the company’s overseas office strategy. BlueFocus said it has already established seven overseas offices, covering regions including Southeast Asia, Latin America, Europe and the United States, and plans to gradually expand its footprint from about 10 to 20. It’s not just the geographic area that matters. It’s about making international growth more localized, more operationally embedded, and less dependent solely on platform access.
As Pan says, “AI and globalization are increasingly intertwined.” For cross-border business, AI offers natural advantages in language, localization, and scalability. This helps explain why BlueFocus sees global markets as an important testing ground for AI-native business models. In that sense, Globalization 2.0 is not only about restructuring the revenue structure behind its overseas growth, but also about creating a more direct commercial context for the company’s AI ambitions.
AI transformation is more than just a technical problem
A notable feature of BlueFocus’ current strategy is that it treats AI transformation as an organizational challenge rather than just a technical challenge. While the company is focused on automation, it insists adoption will depend on talent, adaptability, and a willingness to relearn how to do work.
That logic is evident in how management describes internal experiments. BlueFocus says employees can use leading global AI tools with no cost reimbursement and no pre-set caps. In a recent interview, Pan said the highest individual redemption amount last year exceeded US$43,978. The importance of these details lies less in their quantity and more in how they demonstrate the company’s approach to reducing adoption friction, encouraging experimentation, and treating AI learning as an operational priority rather than an ancillary initiative.
As Pan says, “We’re rebuilding BlueFocus into a true AI-native organization.” Our ambition extends beyond tools to our talent standards, incentives and culture. Internally, the company has “AI native + AI first” as its guiding benchmark, suggesting that the transition is being framed as a broader organizational reset, rather than just a technology upgrade in the organization’s hiring, evaluations, and ways of working.
Just as importantly, BlueFocus does not frame AI as a replacement for humans. The more enduring message from executives is that while AI may reshape workflows, long-term performance remains dependent on the quality of people, decision-making, and organizational adaptability. In that sense, the company is presenting AI transformation not only as a technological aspect, but also as a management and organizational story.
The same logic also helps explain BlueFocus’ external investment strategy. The company said it invested in six AI-native companies primarily as a way to stay close to developing frontier capabilities, rather than primarily for financial purposes. From a strategic perspective, this suggests that companies are looking to keep their transformation in sync with the most rapidly changing parts of their ecosystem, rather than relying solely on internal roadmaps. In Pan’s view, “We need to find the fastest-moving AI-native companies, align ourselves with them, and stay in sync with the industry’s cutting-edge capabilities. That in itself is one of the ways BlueFocus is accelerating our own transformation.”
BlueFocus is now establishing more than just demonstrating acceptance of AI. The underlying message is that AI is becoming increasingly inseparable from the business itself. Pan’s view that there should no longer be a meaningful distinction between AI and non-AI businesses is perhaps the clearest expression of that ambition. This is not a complete transformation story. But BlueFocus is beginning to show that this shift is no longer just strategic rhetoric. The way businesses are built and run is starting to take shape.
Note to Editors: Conversions of certain RMB amounts to U.S. dollars in this release are provided solely for the convenience of readers and are based on an exchange rate of 1.00 USD = 6.8216 RMB.
Source BlueFocus
