Only paranoid survive. Evolution taught us it Is not the strongest of the species that survives but the most adaptable to change. I am back to school after spending a decade in accounting. Currently taking up master’s in analytics and AI and we have to write an essay about our thoughts on AI. Thanks for sharing this :) Will read the book!
I imagine that at most inflection points there are several or many possible courses of action. Those who decide (or guess) an action that leads to success may write about it in a way that is useful to others. Some may even acknowledge the role of chance and luck. A few whose decision led to failure may analyze what happened and write about it, again in a way that is useful to others, but most just remain silent.
“snow melts first at the periphery” -- I've enjoyed the perspective of being an individual contributor data scientist during this AI wave. I think its helped me feel a lot more grounded in what's truly possible vs. not likely with AI.
I'd hate to be dealing with AI in a management or strategy position right now. You have so many people that AI can do ANYTHING, so I think I'd start to wonder if its even good at anything at all.
To your point, the leadership at my company who appear the most in touch with the real possibilities of AI are the ones frequently talking to boots on the ground data scientists. AI will change a lot of things, but some things will remain the same in the data world (for now)
Yeah that's a good point. Non-ironically used AI to provide a brief look back on the onset of the internet --
Prompt: When the internet was first becoming popular, what were some of the best and worst predictions in terms of how the internet was going to change business into the future?
Response:
BEST:
E-Commerce and Online Retail: Accurately predicted the rise of online shopping.
Remote Work and Globalization: Foreseen remote work capabilities and global collaboration.
Information Accessibility: Correctly anticipated the internet as a vast data repository.
Digital Marketing: Predicted the revolution in marketing through targeted online strategies.
Disruption of Traditional Industries: Correctly foresaw the internet disrupting sectors like travel, entertainment, and publishing.
WORST:
Dot-com Bubble Predictions: Over-optimism about internet companies, leading to unsustainable business valuations.
End of Brick-and-Mortar Stores: Incorrectly predicted the complete demise of physical retail.
Overestimation of Speed of Adoption: Misjudged how quickly the internet would be widely adopted.
Work-Life Balance: Misconceptions about the internet creating a more balanced work-life situation.
Internet as a Utopian Society: Overly idealistic views about the internet democratizing information, overlooking issues like misinformation and privacy concerns.
In summary, the most accurate predictions recognized the internet's role as an evolutionary tool, integrating with and transforming existing business models, while the less accurate ones either overestimated the pace of change or underestimated the resilience of traditional systems.
Only paranoid survive. Evolution taught us it Is not the strongest of the species that survives but the most adaptable to change. I am back to school after spending a decade in accounting. Currently taking up master’s in analytics and AI and we have to write an essay about our thoughts on AI. Thanks for sharing this :) Will read the book!
Awesome! Good luck, let me know what you think!
Got an A on my essay :) Thanks for sharing the book! My prof added a comment, saying my paper was “solid” haha
Glad to hear it!! Thanks for letting me know
I imagine that at most inflection points there are several or many possible courses of action. Those who decide (or guess) an action that leads to success may write about it in a way that is useful to others. Some may even acknowledge the role of chance and luck. A few whose decision led to failure may analyze what happened and write about it, again in a way that is useful to others, but most just remain silent.
Yes there is a lot of selection bias there.
It seems like the most common pattern in failure though is "refusing to accept the reality of the world as it is and therefore not acting."
“snow melts first at the periphery” -- I've enjoyed the perspective of being an individual contributor data scientist during this AI wave. I think its helped me feel a lot more grounded in what's truly possible vs. not likely with AI.
I'd hate to be dealing with AI in a management or strategy position right now. You have so many people that AI can do ANYTHING, so I think I'd start to wonder if its even good at anything at all.
To your point, the leadership at my company who appear the most in touch with the real possibilities of AI are the ones frequently talking to boots on the ground data scientists. AI will change a lot of things, but some things will remain the same in the data world (for now)
I think reading old perspectives talking about the onset of the internet is a really good way to calibrate how you think about this stuff
Yeah that's a good point. Non-ironically used AI to provide a brief look back on the onset of the internet --
Prompt: When the internet was first becoming popular, what were some of the best and worst predictions in terms of how the internet was going to change business into the future?
Response:
BEST:
E-Commerce and Online Retail: Accurately predicted the rise of online shopping.
Remote Work and Globalization: Foreseen remote work capabilities and global collaboration.
Information Accessibility: Correctly anticipated the internet as a vast data repository.
Digital Marketing: Predicted the revolution in marketing through targeted online strategies.
Disruption of Traditional Industries: Correctly foresaw the internet disrupting sectors like travel, entertainment, and publishing.
WORST:
Dot-com Bubble Predictions: Over-optimism about internet companies, leading to unsustainable business valuations.
End of Brick-and-Mortar Stores: Incorrectly predicted the complete demise of physical retail.
Overestimation of Speed of Adoption: Misjudged how quickly the internet would be widely adopted.
Work-Life Balance: Misconceptions about the internet creating a more balanced work-life situation.
Internet as a Utopian Society: Overly idealistic views about the internet democratizing information, overlooking issues like misinformation and privacy concerns.
In summary, the most accurate predictions recognized the internet's role as an evolutionary tool, integrating with and transforming existing business models, while the less accurate ones either overestimated the pace of change or underestimated the resilience of traditional systems.
TL;DR the internet changed business entirely, but not at the pace that others thought, leading to a bubble --> perhaps the same path forward for AI?
real, significant change will happen, but it could take 10-20 years instead of 1-5 years.