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Keep’s AI Pivot Meets a Market Collapse

Keep’s AI Pivot Meets a Market Collapse
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🐯Read original on 虎嗅
#ai-strategy#sports-tech#consumer-aikeepkeepkeepace.aipelotonnike

💡Keep’s shrinking users, falling R&D budget, and AI pivot reveal the economics behind consumer AI transformation.

⚡ 30-Second TL;DR

What Changed

First-half revenue reached 825 million yuan, up only 0.4% year over year, while adjusted net profit was 5.88 million yuan.

Why It Matters

Keep is shifting from a content-led fitness platform toward a sports-consumer brand with an AI layer. For AI founders, the case highlights the difficulty of funding AI transformation while the core user base and subscription economics are weakening.

What To Do Next

Benchmark Keepace.ai’s AI coaching features against your own exercise product using safety, hallucination, and user-retention metrics before adding a paid AI tier.

Who should care:Founders & Product Leaders

Key Points

  • First-half revenue reached 825 million yuan, up only 0.4% year over year, while adjusted net profit was 5.88 million yuan.
  • Own-brand sports products generated 483 million yuan, or 58.5% of total revenue, and became the largest source of gross profit.
  • Average MAU fell from 29.92 million in 2024 to 18.58 million in the first half of 2026, a decline of about 38%.
  • Keep launched Keepace.ai for course generation, exercise Q&A, and data interpretation, with more than 8,000 AI-customized courses.
  • R&D spending declined 29.4% in 2025 and another 23.2% in the first half of 2026, while AI products had not yet reached meaningful commercialization.

🧠 Deep Insight

Background and context from public sources — not the original article. 10 sources cited.

🔑 Enhanced Key Takeaways

  • Keep achieved its first annual adjusted net profit of 25.2 million RMB in 2025, marking a major turnaround from the 470 million RMB loss recorded in 2024.
  • The decline in MAU is partially attributed to a deliberate strategic decision to prune low-efficiency business lines to prioritize high-margin operations.
  • Keep launched its first general AI coach, 'Kaka,' in March 2025, which served as the precursor to the more advanced Keepace.ai motion health large model.
  • The company is explicitly benchmarking its business model against Decathlon, attempting to transition into a 'sports consumption' entity that links AI-powered digital content with physical retail goods.
  • Keep's 2026 financial performance reflects a broader market correction where investors have shifted focus from speculative AI narratives to tangible, sustainable profitability.
📊 Competitor Analysis▸ Show
FeatureKeepDecathlonPeloton
Core ModelAI-Content + HardwarePhysical Retail + Private LabelHardware + Subscription
AI IntegrationHigh (Kaka/Keepace.ai)LowModerate (AI coaching)
Revenue FocusSports ConsumptionPhysical EquipmentSubscription/Hardware

🛠️ Technical Deep Dive

  • Keepace.ai is built upon a proprietary motion health large model architecture.
  • The system utilizes multi-modal data processing to integrate exercise Q&A, real-time motion tracking, and dietary calorie analysis.
  • The platform supports generative course creation, allowing for the synthesis of over 8,000 customized training plans based on user biometric data.

🔮 Future ImplicationsAI analysis grounded in cited sources

Keep will likely face further MAU contraction in H2 2026.
The company's ongoing strategy of shedding low-efficiency business lines to protect margins inherently prioritizes profitability over user growth metrics.
The 'content + product' ecosystem will become the primary determinant of Keep's valuation.
With AI monetization currently limited, the company's ability to cross-sell physical sports equipment to its remaining active user base is the only viable path to offsetting stagnant digital revenue.

Timeline

2024-01
Keep reports a significant annual loss of 470 million RMB.
2025-03
Launch of 'Kaka,' the company's first general AI coach.
2025-12
Company achieves first annual adjusted net profit of 25.2 million RMB.
2026-06
MAU drops to 18.58 million as the company continues to prune low-efficiency business lines.

📎 Sources (10)

Factual claims are grounded in the sources below. Forward-looking analysis is AI-generated interpretation.

  1. huxiu.com
  2. nbd.com.cn
  3. sohu.com
  4. 163.com
  5. xinhuanet.com
  6. apple.com
  7. 163.com
  8. medium.com
  9. morningstar.com
  10. uwo.ca
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