Personal Sovereignty is AI’s Killer App – Epi-3828
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Everyone is looking for the ‘Killer App’ for AI. They want the one plugin or the one prompt that changes everything. They’re looking in the wrong place. AI is a mirror, it is a leverage tool, it’s a management flight simulator and a leadership training program all in one. If you can’t lead a machine that has no ego and works for free, you aren’t ready to lead anything else. The real Killer App of AI? It’s Personal Sovereignty. It is a way for every human to have personal agency or more accurately own an agency of experts, assistants and advisers. It is the death of waiting for a green light and the birth of a new level of freedom.
That is if you use it right! We are entering a phase right now with AI quite similar to the phase of internet adoption that occurred from 1998-2008. Over those ten years the majority of society bifurcated between those who were internet consumers of curated content and those who created their own curated content. The internet today is a system of control for about half of all people and the greatest tool of sovereignty ever unleashed to the other 50%.
AI is not hitting that same bifurcation moment. This is when people will chose to harness AI as an operator or submit to AI as an agent of control and manipulation. Winners in this age will manage AI like a CEO manages a company. Winners will take this path regardless of their current position, job or social status. The losers in this age of disruption will continue to see AI either as a fad to ignore, something that only applies to others or a genie that answers questions and preforms tasks for them.
Join Me Today to Discuss…
- Lets look at one of the last major disruptions, the modern internet starting in the early 90s
- Main stream media mocked it or was clueless example, the famous 1994 Good Morning America what is that @ thing?
- Workplaces first let it in with strictk guidelines, mostly just for email
- Senior leadership called it a fad, companies that did take a shot on selling online formed separate divisions so failure was not at a company level
- Eventually massive intranets were built, internet was seen as a necessity for a workforce and phrased like, “experienced with internet research” went away, simply because they became defacto standards
- Today almost no company runs without constant use of the internet and associated tech like social media for marketing and virtual meeting technologies like Zoom
- The early adopters from the 90s today run companies of their own or are in senior position, not all but most gained a significant advantage over laggards
- Almost no one today will admit to being anti internet in the beginning but we all know someone was, a lot of someones in fact
- Today the most personally sovereign people and the most controlled people both use the same internet, they just use it differently
- Today as we look at AI what are the similarities
- AI for prime time for the average person is three years old today, most people have at least used it a little bit. That puts us at about 1998-1999 of internet adoption as it relates to AI.
- Workplaces are only allowing AI use mostly right now with lots of oversight, or proprietary models, and mostly only to speed up tasks
- Many are calling it a fad, attacking it for errors and flaws, etc. all in an attempt to pretend it isn’t the disruption that it is
- Conversely like the dot com boom, many are massively over selling it without understanding the human component that is really required
- Early adopters are moving without asking permission, often preforming parts of tasks with it that management never knows about, or building companies and brands of their own, exactly like the internet
- In the end the internet didn’t win as “the internet” we used the internet to win by leveraging platforms, applications and other opportunities as leverage tools, the same will be true of AI
- The biggest winners in the internet disruption moved from consumers to creator in some way
- AI as a leadership training program is the killer application
- As an early AI adopter you become a prompt architect and learn how to create virtual teams of advisors, helpers, assistants, coaches an consultants
- To do this you must define the job and set rock solid expectations
- When results are not where you want them, as the leader it is all on you
- Your agents will need new training or full on replacement just like a team you employ
- Your agents will be wrong at times or kiss your ass, you have to manage expectations for both
- In the end it is your call, you have to take instinct and experience and blend it with the data you gain from your teams
- The company that gets this changes its culture and upgrades its human capital almost over night
- The individual that adopts it personally in a company that ignore it has a massive asymmetric advantage until full adoption occurs
- Early adopters will maintain advantages long term just as many early internet adopters still hold advantages today
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