Latest Interviews
Showing 1–5 of 5 transcripts.
Clear all filters- a16z39 min
Founding Stories: Sandbox VR
Steve Zhao, Siqi Chen, Andrew Chen, Frank Chen
Sandbox VR co-founders Steve Zhao and Siki Chen launched a location-based entertainment model by vertically integrating proprietary hardware, custom content, and physical retail spaces after failing to secure early funding due to the novelty of the concept. By pivoting to a venue in a Hong Kong high-rise in 2017, the team achieved viral traction with their immersive "Deadwood Mansion" title, attracting an Alibaba seed round and a rapid Series A commitment from Andreessen Horowitz within months of opening. Leveraging deep learning and computer vision to enable social agency and body tracking, the company is now expanding its technology to support larger concurrent groups and diverse genres beyond traditional shooting games.
- a16z29 min
The Future of Decision-Making: 3 Startup Opportunities
Enterprise digital transformation is pivoting from manual migration to full automation, driving a fundamental shift from Business Intelligence to real-time Operational Intelligence. This transition empowers non-technical staff with self-service tools to make immediate, data-driven decisions while forcing specialized ETL layers to evolve for continuous monitoring. Consequently, startups targeting high-volume, low-margin sectors like construction and oil and gas are capitalizing on these efficiency gains to deliver value through vertical-specific solutions and deep domain expertise.
- a16z31 min
What's Next for Education Startups in 2019 (Part II)
This analysis projects the Chinese adult lifelong learning market to reach $70 billion by 2020, driven by mobile-first technologies and artificial intelligence that enable high-margin remote instruction for the 26–35 demographic. While Asian platforms successfully monetize continuous self-improvement, US EdTech firms face cultural spending habits that concentrate education costs in higher education rather than adulthood, prompting a strategic shift toward bundled mobile offerings and diversified revenue models. Andreessen Horowitz identifies this disparity as a key investment opportunity, advocating for mobile-native applications that leverage AI to normalize bite-sized skill acquisition across diverse personal and professional domains.
- a16z11 min
The Autonomy Ecosystem: Energy (4 of 8)
The global energy sector is navigating a dual transition toward electric, self-driving fleets while conflicting forecasts from the IEA, Bloomberg, and major oil firms debate the timing of peak petroleum demand. Meeting this shift would require adding roughly 468 gigawatts of generation capacity and constructing new charging infrastructure, all while overcoming critical supply constraints in cobalt sourcing from the Democratic Republic of Congo. Strategic responses include capital investments in battery manufacturing, the development of alternative chemistries by researchers like Professor John Goodenough, and alliances between automakers and traditional dealers to redefine fleet service models.
- a16z47 min
AI, Deep Learning, and Machine Learning: A Primer
Andreessen Horowitz partner Frank Chen frames the current AI boom as a pivotal platform shift comparable to the mobile and cloud revolutions, driven by deep learning's ability to process vast datasets without manual rule programming. This modern "AI spring" contrasts with historical failures caused by scaling limitations, evidenced by recent breakthroughs in autonomous navigation, natural language processing, and superhuman performance in games like Go. While generalized human intelligence remains unproven, deep learning has established itself as the most significant advance in the field since the 1956 Dartmouth conference, becoming an indispensable infrastructure for industries ranging from finance to robotics.