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Wise Decision Maker Guide
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Disaster Avoidance Experts

Greetings Decision Maker,


Artificial intelligence (AI) has long promised to revolutionize businesses and upgrade productivity. This year, generative AI tools like ChatGPT have significantly disrupted industries and work processes, and we now have definitive proof that AI can provide massive boosts to knowledge worker productivity and quality, thanks to a groundbreaking new study from Harvard Business School researchers partnering with Boston Consulting Group (BCG).

McKinsey found that close to 25% of top-level executives surveyed report they are directly utilizing generative AI technologies in their professional roles. Additionally, over a fourth of respondents from AI-adopting firms indicate that generative AI is currently a topic of discussion at board meetings. Intriguingly, 40% of survey participants express that their organizations plan to ramp up overall AI investment due to the advancements in the field of generative AI. Industries especially gaining from AI are marketing, product development, and customer service.


To learn more, check out this blog.







Read Blog

Prefer video to text? See this video based on the blog:

#355: 25% Faster, 40% Better: The New Math of AI-Accelerated Work

If you prefer audio, listen to this podcast based on the article:

Podcast: 25% Faster, 40% Better: The New Math of AI-Accelerated Work

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Vote in this LinkedIn poll to contribute to the conversation. I will use the responses to inform my articles in Harvard Business Review, Fortune, and Entrepreneur.

Poll: Is remote work making you less or more positive about future technologies?

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You and others who gain value from Disaster Avoidance Experts consulting and speaking services and thought leadership occasionally share testimonials about your experience, such as the one below. You can read more testimonials here.

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“The Erie section of ASQ, along with the student ASQ section of the State University of NY-Fredonia, had the pleasure of hosting Dr. Gleb Tsipursky for an engaging presentation entitled Defeating Unconscious Bias Via the Neuroscience of Emotional and Social Intelligence for Quality Professionals. This talk was well-organized, well-structured, and included planned audience engagement polls. The audience included both working Quality professionals as well as students, and we can attest that EVERYONE got something out of it. The students were interested in how unconscious biases translated into the “traditional” business disciplines, such as marketing, while the working professionals learned how to recognize and overcome biases for quality innovation and improvement. Dr. Gleb provided ample time to ask questions, and answered questions thoroughly and specifically, without the general responses often provided by speakers. Further, Dr. Gleb provided many complimentary resources to participants! Lastly, he was easy to work with, assisting us with logistics and delivery of the session. I, along with our group, highly recommend him!”

Lisa M. Walters, PhD, Treasurer, American Society for Quality, Erie Section

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What's Up With Me





I learned a new term recently for something I was already doing. One of my close friends works in AI safety research, and when I described my practice to him of taking the output of one AI and asking another to critique and improve it, he said it has a name: AI alloying. I use this technique whenever I have a complex question to solve - such as when building an AI agent or automation solution for a client that I want to make sure goes well - with the goal of creating an architecture for the solution or agent that’s as good as possible before launching the project. After all, it’s much better to correct the plan than to rush headlong into a project and then have to correct it in mid-stream. I found in my experience that using different AIs to give feedback to each other works especially well: for example, I can generate an initial plan with Gemini, then use ChatGPT and Claude to critique it, feed that critique back to Gemini, have Gemini improve the plan, then have ChatGPT and Claude critique it again, and so on. The more cycles, the more improvements, although with diminishing marginal returns, so you have to balance between the importance of the project and the time spent perfecting the plan. My friend reinforced my experience, saying that using different AIs is indeed a best practice. Glad to have this reinforcement of what I was already doing, and I hope you find this technique useful.

Would love to get your feedback on what you found most useful about this edition of the “Wise Decision Maker Guide” - simply reply to this email.



Decisively Yours,

Dr. Gleb

photo of Gleb Tsipursky

Dr. Gleb Tsipursky

CEO of Disaster Avoidance Experts

PS: Are we connected on LinkedIn? If not, please add me.

Did you miss out on reading any of my bestselling books?

Book cover: ChatGPT for Leaders and Content Creators

ChatGPT for Leaders and Content Creators: Unlocking the Potential of Generative AI (Intentional Insights, 2023)

Book cover: Returning to the Office and Leading Hybrid and Remote Teams: A
Manual on Benchmarking to Best Practices for Competitive Advantage

Returning to the Office and Leading Hybrid and Remote Teams: A Manual on Benchmarking to Best Practices for Competitive Advantage (Intentional Insights, 2021)

Book cover: Never Go With Your Gut

Never Go With Your Gut: How Pioneering Leaders Make the Best Decisions and Avoid Business Disasters (Career Press, 2019)

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Disaster Avoidance Experts is a social enterprise dedicated to promoting science-based truth-seeking and wise decision-making. All profits are donated to Intentional Insights, an educational 501(c)(3) nonprofit organization, and its Pro-Truth Pledge project.

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