AIS002:058 [Daniel Tolson] Using A.I. To Becoming A Better Leader

Jul 31, 2024

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Welcome to the Evolvepreneur A.I. Advantage Show

Join me, Richard Wray, to gain the A.I. Advantage today where we dive deep into the transformative power of A.I. to help fast-track your business.

My very special guest today is Daniel Tolson ...

Daniel Tolson is an entrepreneur who has developed AI technology to analyze emotional intelligence and help leaders become more effective. He shares his personal journey of discovering the importance of understanding one's own strengths and weaknesses through scientific assessments. Daniel's AI technology uses a 90-second voice recording to generate an in-depth report on a person's stress type, decision-making style, and other personality traits. This information can then be used to optimize job fit, improve team dynamics, and enhance leadership effectiveness. Daniel emphasizes the importance of trusting in science rather than relying on self-perception or biased self-reporting, as this allows leaders to make more informed decisions about their own development and how to get the best out of their teams.

Key Moments:

50% of work time is typically wasted, leaving only about 17 hours per week to get the job done.
Understanding a person's stress type (logical vs. emotional) can help them better manage their stress.
Putting people in the right roles that align with their natural strengths and personality leads to much higher performance.
There are often internal conflicts (me vs. me, me vs. role, me vs. environment) that prevent people from fully utilizing their potential.
Using AI-powered assessments like the "mind report" can quickly and objectively identify a person's personality traits and emotional intelligence.
Adapting leadership style to each individual, rather than expecting them to adapt to the leader, leads to better results.
The science behind job-person fit is crucial - placing the right person in the right role is key for high performance.
Historically, high performers deliver 5.4x the return on investment compared to average performers, despite being paid the same.
Trust in science-based assessments rather than relying on self-reported personality tests, which can be biased.
The key advice is to "trust in science" - use data-driven insights to understand people and place them in the right roles.

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