Steven Toft
@steventoft.bsky.social
We really have no idea how this technology is going to play out in organisations or in the wider society. I'm still sceptical about an AI-enabled productivity boom but I'm convinced that, as with social media and smartphones, the social impacts will be huge.
January 9, 2025 at 12:57 PM
We really have no idea how this technology is going to play out in organisations or in the wider society. I'm still sceptical about an AI-enabled productivity boom but I'm convinced that, as with social media and smartphones, the social impacts will be huge.
Might this also be behind some of the reluctance to return to the office. It's easier to 'cheat' by using ChatGPT when you are at home. AI makes it easier to work from home but working from home makes it easier to use AI in your own way without having to tell anybody else what you are doing.
January 9, 2025 at 12:56 PM
Might this also be behind some of the reluctance to return to the office. It's easier to 'cheat' by using ChatGPT when you are at home. AI makes it easier to work from home but working from home makes it easier to use AI in your own way without having to tell anybody else what you are doing.
In this sense, ChatGPT is more like social media than a traditional corporate system implementation. People have been using it at home and experimenting with it long before it moves int the workplace and the employer is left playing catch up.
January 9, 2025 at 12:52 PM
In this sense, ChatGPT is more like social media than a traditional corporate system implementation. People have been using it at home and experimenting with it long before it moves int the workplace and the employer is left playing catch up.
This makes it more difficult to assess employee performance. How much of an employee's output is produced by ChatGPT? Do managers find themselves inadvertently measuring an employee's skill at using ChatGPT rather than what they thought they were measuring?
January 9, 2025 at 12:49 PM
This makes it more difficult to assess employee performance. How much of an employee's output is produced by ChatGPT? Do managers find themselves inadvertently measuring an employee's skill at using ChatGPT rather than what they thought they were measuring?
Over time, employees become 'intertwined. with ChatGPT to the point where it is no longer clear what aspects of their work are AI generated. It therefore becomes difficult for managers to control the quality of knowledge that circulates within the organisation and is delivered to clients.
January 9, 2025 at 12:42 PM
Over time, employees become 'intertwined. with ChatGPT to the point where it is no longer clear what aspects of their work are AI generated. It therefore becomes difficult for managers to control the quality of knowledge that circulates within the organisation and is delivered to clients.
Employees are brainstorming ideas on ChatGPT rather than with their colleagues. It is hastening a shift towards isolated work brought about by the pandemic. There is a potential for expert knowledge to become siloed.
January 9, 2025 at 12:37 PM
Employees are brainstorming ideas on ChatGPT rather than with their colleagues. It is hastening a shift towards isolated work brought about by the pandemic. There is a potential for expert knowledge to become siloed.
It's a bottom up rather than top down implementation. Managers often have no idea how employees are using it and very little control over what they do with it.
This is creating some unforeseen side-effects.
This is creating some unforeseen side-effects.
January 9, 2025 at 12:33 PM
It's a bottom up rather than top down implementation. Managers often have no idea how employees are using it and very little control over what they do with it.
This is creating some unforeseen side-effects.
This is creating some unforeseen side-effects.
Reposted by Steven Toft
"It’s obvious once you really think it through, but both real-world + lab results show that while people who hit it big going against the grain are the ones we turn to for wisdom on future events, overall they tend to be bad at making forecasts."
-Jerker Denrell, NYU Stern
hbr.org/2013/04/expe...
-Jerker Denrell, NYU Stern
hbr.org/2013/04/expe...
“Experts” Who Beat the Odds Are Probably Just Lucky
The finding: People who successfully foresee an unusual event tend to be wrong about the future over the long run. The research: Working with Christina Fang of the Stern School of Business, Warwick Bu...
hbr.org
January 4, 2025 at 6:16 PM
"It’s obvious once you really think it through, but both real-world + lab results show that while people who hit it big going against the grain are the ones we turn to for wisdom on future events, overall they tend to be bad at making forecasts."
-Jerker Denrell, NYU Stern
hbr.org/2013/04/expe...
-Jerker Denrell, NYU Stern
hbr.org/2013/04/expe...