The Challenges of the AI Revolution

Michael R. Wood is a Business Process Improvement & IT Strategist Independent Consultant. He is creator of the business process-improvement methodology called HELIX and founder of The Natural Intelligence Group, a strategy, process improvement and technology consulting company. He is also a CPA, has served as an Adjunct Professor in Pepperdine's Management MBA program, an Associate Professor at California Lutheran University, and on the boards of numerous professional organizations. Mr. Wood is a sought after presenter of HELIX workshops and seminars in both the U.S. and Europe.

  Artificial Intelligence  

Virtually everyone is aware that artificial intelligence is here to stay, and that what lies ahead is nothing short of mind-blowing—truly, the stuff of science fiction.

This year alone, companies such as Amazon, Microsoft, Google, Meta, Apple, NVIDIA, and Tesla plan to spend over $300 billion on AI infrastructure. However, that is just a drop in the bucket when considering that overall, AI infrastructure development spending could reach $6 trillion by 2030.

What about the money being spent to develop AI applications and systems that will run on these mega platforms? That investment is expected to surpass $2 trillion within the next five years, led by companies such as OpenAI, IBM and others. And none of that even considers what major governments will spend. If that doesn’t equal a new age revolution, then nothing does.

This revolution won’t come without its challenges. Consider these for starters…

1. Data privacy and security risks: Safeguarding sensitive information against breaches is becoming complex for those in the AI space. For example, many organizations lack sufficient expertise in AI, resulting in critical gaps in defensive strategies.

This, coupled with cybercriminals exploiting new AI capabilities faster than companies can adapt, has led to constant exposure. Add in the emergence of unintended data breaches through AI systems …

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