By Kevin Dunlap
Investment in artificial intelligence startups hit a record high of $59 billion in 2021, up from $28 billion in 2020, according to Crunchbase data.
Venture investment in AI startups will only continue to rise in the next five years. That’s because AI has finally reached a tipping point where it is powerful and affordable enough to make a real economic impact on diverse industries.
AI is a broad category, but generally encompasses all “intelligent” software that can learn from itself in some capacity. This can include machine-learning platforms and the software used by robots, and self-driving vehicles to interpret the environments around them.
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For decades, AI has been developed and used by computer scientists to train all kinds of autonomous systems. But what’s changed today is that AI is no longer stuck in the lab; it’s the backbone of fast-growing startups with the potential to become multibillion-dollar businesses.
Today, companies in industries as diverse as finance, retail, health care, food production, manufacturing, logistics and transportation are deploying AI to improve everyday business processes, automate their workflows and, sometimes, to introduce autonomous robots.
I estimate that at least $500 billion will be spent in the next five years on AI implementation worldwide. Just one company, chicken producer Tyson Foods, announced late last year it will invest $1.3 billion in AI to automate its plants over the next three years. While AI has been around in the lab for decades, today it is delivering real economic value for customers, creating immense opportunity for AI startups.
So what types of AI startups stand to gain the most investment in the years to come? As an investor who has backed AI software companies such as HealthTensor, Diveplane, FarmWise, Parallel Domain and Trellis, as well as AI-powered robotics companies such as Built Robotics, Embodied and GrayMatter Robotics, I see three especially high-growth areas.
The first is synthetic data, which is essentially AI software that can create data sets used to build ML models. Synthetic data is used to train computers to understand and respond to millions or billions of situations. It could be used to train self-driving cars, financial software to stop potential fraud, or health care systems to spot trends without compromising patient confidentiality, for example.
The second is AI software that powers autonomous mobile robots. Coupled with computer vision, LIDAR and sensors, AI software is the robot “brain.”
AI startups are retrofitting all types of vehicles and devices with software “brains” to turn them into autonomous robots that can understand the world around them and make human-like decisions. Bear Flag Robotics, recently acquired by John Deere, does this for tractors, while Brain Corp. retrofits floor-cleaning machines and delivery carts, and Built Robotics’ software turns earth-moving equipment into autonomous robots.
The third is AI software to automate manufacturing, logistics and warehousing. These interrelated sectors have seen tremendous pressure in the last two years due to the pandemic—a surge in e-commerce, labor shortages, supply-chain issues and more. Already having embraced automation to some degree, these industries are now the leading adopters of AI, looking to add “machine intelligence” to existing assembly lines and warehouse and logistics facilities. They are also deploying AI software to do demand forecasting, improve shipping, reduce waste and other crucial functions.
As an AI investor, I’ve never been more excited to invest in this space and expect AI software to be commonplace in every industry within the next five to 10 years.
Kevin Dunlap is co-founder and managing partner at Calibrate Ventures. Prior to co-founding Calibrate Ventures, Dunlap was a managing director at Shea Ventures, where he backed companies including Ring, SolarCity and Chegg. He currently sits on the boards of Broadly, Soft Robotics and Realized.
Illustration: Dom Guzman
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