Stock Markets February 15, 2026

Bernstein: AI, Not Macro, Driving China Internet Winners - A Tencent vs Alibaba Comparison

Analyst note highlights agentic AI gains at Alibaba and solid AI ROI at Tencent amid a subdued 2026 start for the sector

By Derek Hwang
Bernstein: AI, Not Macro, Driving China Internet Winners - A Tencent vs Alibaba Comparison

Bernstein says the China Internet sector has begun 2026 in a muted fashion, but the pace of AI development is proving decisive for relative performance. Analyst Robin Zhu points to Alibaba's Qwen agentic services as a catalyst for its recent outperformance, while Tencent has lagged on chatbot progress even as it extracts AI returns through advertising and gaming. The firm cautions that promotional tactics such as red packet handouts are influencing adoption and that clearer evidence of top-funnel disruption will be needed to sustain momentum. Regulatory headwinds remain a concern for Alibaba, although recent pullbacks could improve its risk-reward profile.

Key Points

  • AI advancement is the main differentiator in relative performance within the China Internet sector, according to Bernstein.
  • Alibaba's rollout of agentic services in Qwen has underpinned its recent outperformance, aided by promotional red packet incentives.
  • Tencent continues to generate "solid AI ROI" through advertising and gaming, but lags in chatbot progress; its shares are viewed as having positive risk-reward as AI services expand.

Bernstein describes the China Internet sector's opening to 2026 as "a ho-hum start," but emphasizes that developments in artificial intelligence are now the principal determinant of which companies outperform. Analyst Robin Zhu, writing in a note on Thursday, highlights a divergence between two of the market's biggest players - Alibaba and Tencent - centered on their AI strategies and early results.

On Alibaba, Bernstein credits the rollout of agentic features within its Qwen model for helping the company to outperform peers. The firm notes that leading platforms have turned to promotional mechanisms - notably red packet handouts - to spur user adoption of AI tools. Bernstein says these promotions "feel supportive of our view that AI model capabilities are only part of the equation in consumer-facing AI."

At the same time, Zhu cautions that cash incentives may be "a rather roundabout way to drive... search behaviour," and suggests that investors will likely seek firmer evidence that these tactics are producing top-funnel disruption rather than transient engagement.

Bernstein's view of Tencent is more mixed. The firm indicates Tencent continues to extract "solid AI ROI via its ads and gaming businesses," despite scrutiny around its chatbot development. The recent Yuanbao Party issue is cited by Bernstein as reflecting "dual-track AI development inside WeChat," signaling that different parts of the company's ecosystem are moving at different speeds on AI initiatives. Overall, the note asserts that Tencent's shares present a positive risk-reward profile, supported by earnings compounding and the gradual introduction of more AI-enabled services.

For Alibaba, Bernstein believes AI optionality remains substantial after the Qwen3-Max-Thinking launch. The firm argues that while red packet incentives "feel more logical" within e-commerce, investors may eventually demand clearer proof that agentic AI capabilities convert into measurable gains in gross merchandise value and marketing revenue.

Zhu also flags the regulatory environment as an ongoing concern, saying it "remains higher than we'd like." Recent investigations and policy rumours have weighed on sentiment, though Bernstein notes that recent share pullbacks could make the risk-reward trade-off more attractive for some investors.

In sum, Bernstein's note frames the near-term contest among China Internet names as contingent on both model capability and user adoption mechanics. The firm underscores that promotional activity is currently aiding uptake, but that sustainable value creation will hinge on demonstrable impacts to core commercial metrics.

Risks

  • Promotional incentives such as red packet handouts may not translate into sustained top-funnel disruption or lasting changes in search and shopping behaviour - affecting e-commerce and consumer-facing AI adoption.
  • Regulatory pressure, including recent investigations and policy rumours, is weighing on sentiment for Alibaba and could constrain upside in e-commerce and marketing revenue.
  • Uneven progress on chatbot development and internal AI initiatives - exemplified by the Yuanbao Party issue - introduces execution risk across social, advertising, and gaming segments.

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