The Role of Short-Term Memory in AI Leadership Success

The Age of AI requires focusing on new leadership skills. One of the cognitive processes that has become increasingly important short-term memory. George Miller's magic number of 7 plus or minus 2 remains a useful standard for measuring working memory. Our research indicates that AI Engineers that can remember more build better products. The reason is because the job places a premium on short-term recall to ensure daily updates, MLOPs process, model design changes, and costs are managed appropriately.

Companies looking to hire a great AI Engineer should consider the role short-term memory has on the job profile. Candidates that can store 7 items or more in their working memory, while utilizing techniques such as chunking and associations to drive retention have a stronger chance of managing the complexities of AI strategy and adoption.

Short-Term Memory Plays a Significant Role in AI Leadership Success

For those professionals looking to improve their working memory, consider the following activities, AI tools, and platforms. The effort will make a major difference in your AI projects.

• Spaced retrieval practice: refresh a learned activity 1-2 days after the initial lesson by focusing on the key themes and forming mental associations in the mind.

  
  

• Human Calculator: ditch the LLM, mobile phone, and excel workbook. When arithmetic is needed, perform the calculations in your mind. This supercharges your working memory.

  
  

• The Best Leaders are Storytellers: humans are hard wired to remember compelling stories. Great leaders understand this. Build a story for important AI elements.

  
  

• Consider AI development apps: tools such as Luminosity, Happy Neuron, and Peak provide mental tasks that progressively challenge working memory.