Investors seeking smaller, volatile, foreign companies may prefer ROBO over BOTZ.Īll the above AI ETFs should be available at any major broker. Also unlike BOTZ, most of the top 10 holdings in ROBO are not going to be household names. ROBO is less popular than BOTZ, with $1.2 billion in assets, and is more expensive with an expense ratio of 0.95%. Unlike BOTZ above, ROBO is heavily concentrated in the United States at 50%, and also includes emerging markets like Taiwan (7.4%) and China (1.4%). and international stocks – in both developed and emerging markets – that provide devices or sensors for any types of robotics and artificial intelligence. The fund seeks to track the Robo Global Robotics and Automation Index, an equal-weighted index comprised of U.S. ROBO also has a higher number of holdings at 89 and has thus been less volatile (with lower returns) historically than BOTZ above. The ROBO Global Robotics and Automation Index ETF (ROBO) is very similar to BOTZ above in scope, but has fewer large-cap stocks in favor of more mid-cap focus. ROBO – ROBO Global Robotics and Automation Index ETF Below we’ll explore the best artificial intelligence ETFs. ETFs solve that problem, providing a basket of stocks to diversify exposure across the industry, thereby reducing single company risk. The problem for investors seeking to go long on artificial intelligence is the fact that many pure AI and robotics stocks are small, volatile, foreign companies at risk of going under before their technology is brought to market. At any level in any industry, AI is poised to be a major disruptive technology, and will likely provide a massive boost to productivity, thereby lowering costs and improving profitability. Other examples include self-driving cars, computers that play chess, and Apple’s famous personal assistant, Siri.Īrtificial intelligence is constantly evolving and improving, and is already benefitting many industries including tech, telecommunication, finance, psychology, medicine, manufacturing, computer science, and more. Think of IBM’s “Watson” and its ability to diagnose disease based on symptoms being input and then prescribe treatment. AI systems can be simple or complex, depending on the intended application, and are usually based around algorithms. Think task execution, recursive algorithms that self-optimize, and machine learning inside computers and on assembly lines.Īrtificial intelligence is based on the premise that the human brain can be replicated to a degree in terms of its ability to think, improve, reason, and solve problems.
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While AI is often associated with robots (usually ones that resemble human form), it is already used in many machines at a much smaller level across a wide variety of industries. The term broadly applies to synthetic “intelligence,” learning, reasoning, and problem solving. The Best Bond Funds Out There – 13 ETFsĪrtificial intelligence, or AI for short, as the name suggests, refers to systems designed to mimic the human brain.
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