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A tartalmat a Voice of the DBA biztosítja. Az összes podcast-tartalmat, beleértve az epizódokat, grafikákat és podcast-leírásokat, közvetlenül a Voice of the DBA vagy a podcast platform partnere tölti fel és biztosítja. Ha úgy gondolja, hogy valaki az Ön engedélye nélkül használja fel a szerzői joggal védett művét, kövesse az itt leírt folyamatot https://hu.player.fm/legal.
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The Selfish Case for Learning AI

 
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Manage episode 516951947 series 2334400
A tartalmat a Voice of the DBA biztosítja. Az összes podcast-tartalmat, beleértve az epizódokat, grafikákat és podcast-leírásokat, közvetlenül a Voice of the DBA vagy a podcast platform partnere tölti fel és biztosítja. Ha úgy gondolja, hogy valaki az Ön engedélye nélkül használja fel a szerzői joggal védett művét, kövesse az itt leírt folyamatot https://hu.player.fm/legal.

I ran across this article on a survey about AI usage recently. The headline is this: 55% of businesses admit wrong decisions in making employees redundant when bringing AI into the workforce.

That sounds a little ominous for those making these decisions, and a lot of you might be saying, “I could have told you that. Using AI to replace people is a bad decision.” On the surface, I agree. I dislike the idea that companies will opt for a semi-competent AI bot or agent to replace people, thereby further exacerbating the challenges faced by many workers in the modern world.

However. 55% means 45% didn’t feel that way. That’s almost a coin flip for executives who want to make a decision about whether to terminate some employees and replace them with GenAI tools, especially workers who might do things like customer service or tasks that are narrower in scope and “seem” like good fits for an LLM.

A lot of the stats in the piece are presented in a way to paint AI as risky, but the numbers are often less than 50%. To me, I worry that this is a bet executives might make. Especially when this might result in a bigger bonus or dividend for them personally. I never discount the selfish nature of executive decisions.

So, what is my selfish case for learning AI if I might get replaced? The big number is this one: “…80% of business leaders plan to reskill employees to use AI effectively…” For me, in my job, I want to be one of the people execs see as effectively using AI.

I need to spend time learning how to, and how not to, use AI tools. They can be helpful, but they can also cause problems. I need to examine where they help, how much time they save, and when to abandon them and just handle a task myself. That last skill might be the most important. I also need to ensure I learn to work efficiently with the tools to save time and become more effective. That takes some effort and focus to learn to use the tools well.

There are always going to be executives who will make the decision to let someone go. Your (selfish) job is to ensure that you aren’t the one chosen.

Steve Jones

Listen to the podcast at Libsyn, Spotify, or iTunes.

Note, podcasts are only available for a limited time online.

  continue reading

20 epizódok

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The Selfish Case for Learning AI

Voice of the DBA

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iconMegosztás
 
Manage episode 516951947 series 2334400
A tartalmat a Voice of the DBA biztosítja. Az összes podcast-tartalmat, beleértve az epizódokat, grafikákat és podcast-leírásokat, közvetlenül a Voice of the DBA vagy a podcast platform partnere tölti fel és biztosítja. Ha úgy gondolja, hogy valaki az Ön engedélye nélkül használja fel a szerzői joggal védett művét, kövesse az itt leírt folyamatot https://hu.player.fm/legal.

I ran across this article on a survey about AI usage recently. The headline is this: 55% of businesses admit wrong decisions in making employees redundant when bringing AI into the workforce.

That sounds a little ominous for those making these decisions, and a lot of you might be saying, “I could have told you that. Using AI to replace people is a bad decision.” On the surface, I agree. I dislike the idea that companies will opt for a semi-competent AI bot or agent to replace people, thereby further exacerbating the challenges faced by many workers in the modern world.

However. 55% means 45% didn’t feel that way. That’s almost a coin flip for executives who want to make a decision about whether to terminate some employees and replace them with GenAI tools, especially workers who might do things like customer service or tasks that are narrower in scope and “seem” like good fits for an LLM.

A lot of the stats in the piece are presented in a way to paint AI as risky, but the numbers are often less than 50%. To me, I worry that this is a bet executives might make. Especially when this might result in a bigger bonus or dividend for them personally. I never discount the selfish nature of executive decisions.

So, what is my selfish case for learning AI if I might get replaced? The big number is this one: “…80% of business leaders plan to reskill employees to use AI effectively…” For me, in my job, I want to be one of the people execs see as effectively using AI.

I need to spend time learning how to, and how not to, use AI tools. They can be helpful, but they can also cause problems. I need to examine where they help, how much time they save, and when to abandon them and just handle a task myself. That last skill might be the most important. I also need to ensure I learn to work efficiently with the tools to save time and become more effective. That takes some effort and focus to learn to use the tools well.

There are always going to be executives who will make the decision to let someone go. Your (selfish) job is to ensure that you aren’t the one chosen.

Steve Jones

Listen to the podcast at Libsyn, Spotify, or iTunes.

Note, podcasts are only available for a limited time online.

  continue reading

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