YC-backed startups pivot to AI-driven robotics, solidifying U.S. leadership

Y Combinator (YC), recognized as the leading global startup incubator that helped launch businesses like Airbnb, Coinbase, and more, is now choosing startups for its summer 2026 cohort. YC supports and guides new ventures either twice or four times per year, pinpointing the top opportunities within each cycle. The firms selected through this process highlight the technological trends and areas of interest that investors are prioritizing at those moments.

The artificial intelligence sector, which has expanded rapidly in recent years, has experienced changes in emerging areas and funding patterns. What direction will the next phase of the AI industry take? By studying startups chosen by YC from the spring 2019 cohort through to the spring 2026 group, we explored how the AI field and capital inflows have developed.

◇Current AI Trends Highlighted by Startups Accepted into Y Combinator

Based in San Francisco, YC stands as the leading global startup incubator. Established back in 2005, it has supported more than 5,000 ventures, contributing to an overall business valuation surpassing $1 trillion. Prominent graduates comprise Airbnb, Stripe (a financial technology firm), Coinbase (a digital currency trading site), DoorDash (an online meal ordering service), Reddit (a community-driven website), and Sendbird, a Korean enterprise that achieved international success via YC. Sam Altman, who currently leads OpenAI, once held the position of YC's president.

In the last seven years, both the startup and venture capital sectors have maintained strong enthusiasm for artificial intelligence, accompanied by major developments. During this time, the global community faced the COVID-19 outbreak starting in 2020, followed by the "ChatGPT moment" in November 2022, which sped up the widespread adoption of AI and sparked a surge in generative AI. From that point onward, the AI field has grown to include areas such as AI infrastructure, agent-based AI, and tangible AI systems.

One significant shift over the last seven years has been the reduction in remote working trends and the return to office-based setups. During the winter 2021 cohort, 84.5% (284) of start-ups implemented remote work arrangements, which was their highest point. Nevertheless, this percentage dropped rapidly, reaching a minimum of 12% (20) in the winter 2025 group and staying around 20.3% (40) in the spring 2026 group.

This change isn't just because the pandemic ended and restrictions were lifted. Interestingly, during the age of artificial intelligence, the importance of face-to-face interactions and physical connections—fields where AI has difficulty matching human abilities—is increasing. Startups, businesses, and venture capitalists are now more inclined to meet entrepreneurs directly to evaluate their skills, decision-making, and teamwork capabilities, prompting numerous startup ventures to come back to Silicon Valley.

Consequently, emerging startups and investment opportunities tend to be concentrated in the U.S. In the summer 2021 cohort, during a period when remote work was common, North American firms made up just 58.1% (227), while numerous startups from Europe, Asia, and Latin America also joined YC. Nevertheless, once in-office work restarted, the percentage of North American companies increased again. By the summer 2025 intake, this figure had climbed to 91.0% (152), and in the spring 2026 group, it jumped sharply to 94.4% (186).

This has increased the impact of the U.S. market significantly. The movement toward global investing and distant startups has declined, with funds and skilled individuals gathering again within the United States, mainly in Silicon Valley. According to research, since the U.S. is at the forefront of artificial intelligence, emerging companies and financial support are becoming more concentrated there, thus increasing the divide in technology and funding among countries.

◇Production Is Accelerating Amidst the Surge of Physical Artificial Intelligence

In recent times, the production industry has experienced significant expansion. Following the rapid rise of the "digital AI" market, which encompasses generative AI, the last one or two years have witnessed a movement towards tangible AI areas like robotics and autonomous vehicles. As a result, the share of "industrials" sector startups—covering robotics, manufacturing, and machinery firms—within YC-approved startups has risen quickly.

Between 2019 and 2020, startups in the industrial sector accounted for a share ranging from 5% to 7%. This declined to 2.2% (with 6 companies) during the winter 2023 cohort and further reduced to 2.3% in the summer 2023 group, after the rise of generative AI. By 2024, as the constraints of generative AI tools became more evident and investors shifted their focus toward technologies aligned with the actual economy, the percentage increased once again. The rate climbed to 10.1% (25 firms) in the summer 2024 intake, rose to 10.8% in the winter 2025 round, hit 13.6% in the winter 2026 session, and stood at 11.7% in the spring 2026 batch, consistently staying above single digits.

After the surge in AI development, capital was primarily directed towards AI-focused enterprises. As reported by PitchBook, a U.S.-based data analytics company, financial backing for artificial intelligence and machine learning initiatives made up 35.7% of worldwide venture capital inflows in 2024, increasing to 57.9% during the initial quarter of the previous year. Numerous firms highlighted their focus on AI-related ventures or incorporated "AI" into their business titles to draw in investors.

Nevertheless, examining the startups chosen by YC reveals that the AI hype has slightly subsided. For the Winter 2020 cohort, just 3.9% (9 out of 231) of companies had "AI" in their titles. This percentage increased quickly during the rise of generative AI, reaching a peak of 10.9% (27 out of 248) in the Summer 2024 group. Yet, it has since slowly decreased, falling to 4.1% (8 out of 195) in the Spring 2026 intake.

An executive within the venture capital sector stated, "‘Artificial Intelligence’ is now less of a magical term that draws funding simply because of its name," further explaining, "The artificial intelligence startup landscape has moved into a stage of 'winnowing out the weak,' where only firms demonstrating established technical expertise and sustainable business models endure."

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