Careers are made from behavior which are valued

career in GEN AI world, future roles

In the age of AI, careers are going to be based on differentiated perspectives and unique vision. Careers are also going to be based on experiences which generate value and allow human capabilities to become differentiated from machine-based capabilities.

For perspectives to be generated along with a solid vision, it is important for the kids to have exposure to real work life scenarios which allow them to participate and experiment.

There are several ways to enable this for the kids:

  1. Allow kids to ask questions and reflect upon the experiences of the adults within the field they are exploring. This is how we train the Gen AI models, similarly if we allow the kids to ask questions it will allow them to build the perspective and reflect upon it.

  2. Allow kids to absorb the content in ways they prefer to learn and grasp. This could mean providing them access to safe content and mentors who can respond to their questions.

  3. Allow kids to undertake a project in the space to gain deep expertise in the field. Think about it like allowing for internship within an ecosystem outside of the workspace that exposes them to the topic and allows them to gain deep knowledge. Think about it like allowing the kid to experiment with tools of a profession with a small task they need to accomplish.

  4. Create a simulation where the kids can experiment with the characters of a drama, and they play the role of a professional they intend to be like when they grow up. Think about it like a skit that is enacting the workplace dynamics. Whether the kids are solving a business case, or they are solving a medical emergency – the kids are playing the role of a CEO or a doctor - the insight can become valuable for them to explore the experience.

CareerIsMe aims to enable these perspectives for the kids to gain knowledge and wisdom that will facilitate their choice of career and help them enter the profession with confidence and poise that the AI machines can only envy.

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