Our Micro/Small Cap AI Stocks Portfolio Went Down 5% In August

An Introduction

The artificial intelligence and related (AI&R) sector is going to play a major role in the future of technology and investing in it should generate fantastic returns over the next decade. That being said, however, most investors focus on the mega/large cap AI&R stocks that trade for hundreds of dollars per share yet there are a few less expensive, and potentially more explosive, micro- and small- cap AI&R stocks (i.e., stocks with market capitalizations above $100M but less than $2B) that will get you wider exposure to that growth with less money invested.

To that end, MunAiMarkets.com has created a portfolio of 10 such stocks which it will monitor on a bi-weekly basis to keep you informed of their stock performances (weekly, MTD, YTD) and latest pertinent news, analyses and/or commentary under the Micro/Small Cap AI Stocks Portfolio banner.

 

The Micro/Small Cap AI Stocks Portfolio

  1. Applied Optoelectronics (AAOI): UP 18.8% in August
  2. Evolv Technologies (EVLV): UP 13.5% in August 
  3. BigBear.ai (BBAI): UP 5.3% in August
  4. D-Wave Quantum (QBTS): UP 1.0% in August
  5. SoundHound AI (SOUN): DOWN 3.9% in August
  6. Digimarc Corporation (DMRC): DOWN 10.3% in August
  7. Rigetti Computing: (RGTI): DOWN 10.7% in August
  8. Innodata (INOD): DOWN 10.7% in August 
    • INOD provides AI-enabled software platforms and managed services for AI data annotation, AI digital transformation, and industry-specific business processes.
    • Market Capitalization: $501M
    • Latest news, commentary and/or analysis:
  9. Verses AI (VRSSF): DOWN 20.7% in August
  10. Rekor Systems (REKR): DOWN 33.1% in August

 

Summary

Our Micro/Small Cap AI Stocks Portfolio went DOWN 5.4% in August and the average market capitalization of the 10 constituents is now $467M.


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Disclosure: None

This article has been composed with the exclusive application of the human intelligence (HI) of the author. No artificial intelligence (AI) technology has been deployed. ...

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