Published
The Hidden Danger Of A.I. In The Workplace
Consider this... Do you want AI doing your job? Or do you want to leverage AI to do your job better?
Breaking News:
ChatGPT (OpenAI) and Gemini (Google) announced some amazing new capabilities to their foundational models, marking a significant improvement in how humans interact with ChatGPT and Gemini assistants on the day-to-day.
But what does this mean for your job? What will the work look like when A.I. is solely the backbone of everything we do?
…here's the true question we must ask: Who is the real expert, A.I. or you the human?
Let’s explore this idea of "expertise" in the workplace through 2 different scenarios.
ONE - Where we rely on AI Assistants from Google or OpenAI.
TWO - Where you craft your own AI Assistants based on your individual experience.
Let's dive into the first scenario where we rely on AI Assistants from Google or OpenAI for expertise.
They decide to have ChatGPT help them. They upload the assignment and documents, and prompt ChatGPT to complete their task.
The result is that:
Next, Jane and Daniel are entering the job market. They are applying to a management consulting firm.
But what value do our two new graduates really bring to the employer?
Jane and Daniel don't truly understand the nuance of financial analysis. But they sure do know how to use ChatGPT to make it look like they understand! Now the only value they bring to the table is how good they are at prompt engineering using ChatGPT.
Quite soon ChatGPT will be smart enough not to need prompt engineering, in which case, Jane and Daniel are indistinguishable from each other, bringing very little value into the workplace.
(So, what's the point of hiring people anymore?)
This is critical. Up until now, a business' competitive advantage has been tied closely to its workers. That's why it matters who you hire.
However, if the core knowledge/talent of your business is run by an external company, like OpenAI, how does the consumer differentiate between the services of two similar businesses? What happens to knowledge-based competitive advantage?
This is the scenario you hear about from Big Tech. They want to build AGI for a future where people don't have work in the traditional sense.
The obvious issue is that people are out of jobs. The non-obvious issue is the cost we pay in overly standardizing practices, killing variation in performance, and concentrating knowledge and capabilities in the hands of a few.
This is very contrary to free markets and competition as a driver of innovation.
Now, let's look at scenario number two…
But this time, they don't dive right into ChatGPT. Instead, they craft an AI Assistant that is specialized in performing the valuation.
To do so, they have to refer to the course material to figure out the steps and processes for conducting a valuation. They then teach their Assistant on their interpretation of the valuation process.
This is similar to how things currently happen in the workplace. We learn from our experience and carry forward our learning as we advance in our careers.
In this scenario, the result is that:
Now, let's step them forward into the job market…
Both Jane and Daniel have AI assistants and AI projects they completed during their MBA that reflect what they learned, their problem solving capabilities, and nuanced approaches.
Now their potential employer can differentiate between the two prospects and match their capabilities to the company's needs.
This is critical, because the knowledge capabilities of the company now still depend on its employees… Meaning, who you hire is still a competitive advantage. Consumers can develop preferences between the services provided by two competing firms.
To put it plainly…
Scenario two is what ProtoBots.ai strongly believes in.
We seek to keep humans at the helm and have agency over their AI tools. We want human knowledge, expertise, and nuanced approaches to shine through by leveraging AI as a tool, not an overseer.
We feel this is a FAR better approach than allowing the tools of big tech AI companies to be the singular repositories of information, expertise, and innovation.
The beauty of the human journey lies in how we translate our lived experiences and individual perspectives to different tasks. THIS is what allows for innovation and progress and what must be protected as AI becomes more commonplace.
Read more at: https://protobots.ai.
ChatGPT (OpenAI) and Gemini (Google) announced some amazing new capabilities to their foundational models, marking a significant improvement in how humans interact with ChatGPT and Gemini assistants on the day-to-day.
But what does this mean for your job? What will the work look like when A.I. is solely the backbone of everything we do?
…here's the true question we must ask: Who is the real expert, A.I. or you the human?
Let’s explore this idea of "expertise" in the workplace through 2 different scenarios.
ONE - Where we rely on AI Assistants from Google or OpenAI.
TWO - Where you craft your own AI Assistants based on your individual experience.
Let's dive into the first scenario where we rely on AI Assistants from Google or OpenAI for expertise.
Scenario One: Using AI Assistants from Google or OpenAI.
Two students, Jane and Daniel are going for their MBA. Both are in the same Strategic Management class with the same assignment: Determine the valuation of a business prior to its initial public offering (IPO).They decide to have ChatGPT help them. They upload the assignment and documents, and prompt ChatGPT to complete their task.
The result is that:
- Their assignments look VERY similar to one another.
- The professor is really grading ChatGPT, not the students.
Next, Jane and Daniel are entering the job market. They are applying to a management consulting firm.
But what value do our two new graduates really bring to the employer?
Jane and Daniel don't truly understand the nuance of financial analysis. But they sure do know how to use ChatGPT to make it look like they understand! Now the only value they bring to the table is how good they are at prompt engineering using ChatGPT.
Quite soon ChatGPT will be smart enough not to need prompt engineering, in which case, Jane and Daniel are indistinguishable from each other, bringing very little value into the workplace.
(So, what's the point of hiring people anymore?)
This is critical. Up until now, a business' competitive advantage has been tied closely to its workers. That's why it matters who you hire.
However, if the core knowledge/talent of your business is run by an external company, like OpenAI, how does the consumer differentiate between the services of two similar businesses? What happens to knowledge-based competitive advantage?
This is the scenario you hear about from Big Tech. They want to build AGI for a future where people don't have work in the traditional sense.
The obvious issue is that people are out of jobs. The non-obvious issue is the cost we pay in overly standardizing practices, killing variation in performance, and concentrating knowledge and capabilities in the hands of a few.
This is very contrary to free markets and competition as a driver of innovation.
Now, let's look at scenario number two…
Scenario Two: Crafting Your Own Personal AI Assistants
This time around Jane and Daniel both have the same assignment, to value an entire business prior to its IPO.But this time, they don't dive right into ChatGPT. Instead, they craft an AI Assistant that is specialized in performing the valuation.
To do so, they have to refer to the course material to figure out the steps and processes for conducting a valuation. They then teach their Assistant on their interpretation of the valuation process.
This is similar to how things currently happen in the workplace. We learn from our experience and carry forward our learning as we advance in our careers.
In this scenario, the result is that:
- Jane and Daniel have very different assignments, based upon how well they learned the material.
- The professor is grading Jane's and Daniel's work, not the A.I tools they used.
Now, let's step them forward into the job market…
Both Jane and Daniel have AI assistants and AI projects they completed during their MBA that reflect what they learned, their problem solving capabilities, and nuanced approaches.
Now their potential employer can differentiate between the two prospects and match their capabilities to the company's needs.
This is critical, because the knowledge capabilities of the company now still depend on its employees… Meaning, who you hire is still a competitive advantage. Consumers can develop preferences between the services provided by two competing firms.
To put it plainly…
Scenario two is what ProtoBots.ai strongly believes in.
We seek to keep humans at the helm and have agency over their AI tools. We want human knowledge, expertise, and nuanced approaches to shine through by leveraging AI as a tool, not an overseer.
We feel this is a FAR better approach than allowing the tools of big tech AI companies to be the singular repositories of information, expertise, and innovation.
The beauty of the human journey lies in how we translate our lived experiences and individual perspectives to different tasks. THIS is what allows for innovation and progress and what must be protected as AI becomes more commonplace.
Read more at: https://protobots.ai.