Summary of Key Points
2026 marks the “last window period” for AI hardware startups: The industry was booming in 2025 (with soaring valuations and doubling crowdfunding amounts), but investors have become more cautious in 2026 as funds have been diverted to earlier-stage fields such as embodied intelligence. However, AI continues to empower hardware by lowering barriers to entry and enabling multi-modal applications, leaving opportunities for projects with genuine market needs. Companies that raised funding last September and October will face a critical test through crowdfunding; their success or failure will determine whether this window period closes. Investors are adopting strategies of either getting in extremely early or choosing very stable ventures, focusing on real市场需求 and niche segments.
1. A Changing Market: From Blind Investment to Selective Approach – Is the Window Period About to Close?
In 2025, AI hardware was so popular that you could raise funds simply by forming a team; a valuation of 50 million RMB could easily be obtained, and once a prototype was available, it could lead to raises of 300-500 million RMB, with some cases even involving fraudulent crowdfunding activities. However, the situation has changed dramatically in 2026. An entrepreneur who left Anker sought funding in May found that investors were much more cautious. Embodied intelligence, still far from commercialization, has attracted a significant amount of investment, with some teams using the funds to develop hardware first (since it allows for quick market validation).
Why is this considered the “last window period”? Zhang Wei from ChuXin Capital points out that companies that raised funding last September and October will face a collective challenge through crowdfunding. If they succeed, the industry’s momentum will increase; if not, the window may close quickly. The market’s tolerance for failure has significantly decreased, and there is now a greater emphasis on the “product-market fit (PMF)” and the ability to generate revenue independently—this is no longer an era where you can just try things out and expect funding.
2. AI Unleashing Hardware: What Was Impossible Before Is Now Possible!
AI’s impact on hardware is evident in three main areas:
- Lowering Barriers to Entry: Previously, developing imaging hardware required interdisciplinary expertise; now, AI enables software to compensate for technical shortcomings, allowing even inexperienced teams to get involved.
- Multi-modal Applications: Machines need to understand the world through multiple senses (sight, sound, touch), which requires hardware solutions (e.g., calorie-tracking bracelets that use multi-modal technology to meet user needs seamlessly).
- Software as a Competitive Advantage: Companies like TuZhu in 3D printing have gained an edge through their software ecosystems. The more data is collected, the better the product becomes, leading to higher valuations.
Although there are few AI-native hardware products (most are “hardware + AI”), both AI and hardware technologies are at a turning point in 2026, and genuine AI-native hardware opportunities are beginning to emerge.
3. Genuine vs. Fake Needs: Don’t Be Deceived by AI’s Showoffy Features!
Investors use practical methods to identify real market needs:
- Personal Use: They test the products themselves; if they wouldn’t buy them, they know the product is unlikely to be successful.
- User Persistence: If users are willing to invest extra time using the product (e.g., recording their meals while eating), it indicates a genuine need.
- Focus on Core Functions: For example, Sun Hongda removed unnecessary advanced features from a cat litter box, keeping only automatic cleaning functionality and selling it for $149—this proved much more effective than adding many AI features.
- Innovative Approaches: Either transform existing products or expand into new markets (e.g., adding sensors to electric wheelchairs for assisted driving or making industrial cameras more accessible to consumers).
Fake needs are those that users do not require or can be met by smartphones (as seen in many projects from 2025).
4. Investment Strategies: Either Invest Early or Wait Until the Product Generates Revenue
Hardware startups face high risks (95% of projects failed between 2013-2016, with less than 20 generating over 10 billion RMB in revenue). Investors therefore adopt two strategies:
- Early Investment: Getting in before large firms like Sequoia and Hillhouse, leveraging expertise and resources to support founders (e.g., smaller firms investing in early-stage startups to avoid inflated valuations).
- Stable Investments: Waiting until the product has proven its viability and starts generating revenue, bypassing the proof-of-concept and sales stages (e.g., providing resources to help with international expansion, account issues, or establishing offline distribution channels).
Sun Hongda notes that while some leading projects may not be investable now, they could still present opportunities in the next three to four years. Good companies tend to perform well over the long term.
5. Which Niche Segments Hold Promise?
Investors are focusing on these areas:
- Maker Tools: DIY tools and photography equipment that enhance creativity and emotional fulfillment (Sun Hongda calls this “making people more human.”)
- Traditional Hardware Transformation: Portable outdoor water heaters for camping, electric wheelchairs with assisted driving features.
- Invisible Monitoring: Calorie-tracking bracelets using multi-modal technology to meet essential needs.
- Market Expansion: Converting industrial cameras into consumer-friendly products.
- Home Creativity Tools: 3D printing and CNC machines that can expand from niche markets to household use, potentially achieving millions in sales.
These segments have clear market demands or the potential for expansion, making them attractive for AI hardware startups in 2026.
In summary, 2026 is not an era of easy success for AI hardware startups. However, by focusing on genuine market needs and leveraging AI effectively, there are still opportunities. The key is to develop products that resonate with consumers before the window period closes.