Our relationship with computers will never look the same. Here are the winners and losers. The web, the media, and my email are entirely full of ChatGPT missives and questions. I've spent hours with scores of investors, all wanting to understand the impact on semiconductors and cloud service providers. The hot chatbot's impact will impact everything over the next five years.

Daniel Kahneman, the Nobel laureate famous for his research on how cognitive biases lead us to make irrational decisions, has stated that humans stand no chance against artificial intelligence (AI). The 87-year-old Israeli-born psychologist said he believes AI will lead to a massive disruption because the technology is developing very rapidly for people to adjust to. Asked what he felt about the dangers of using AI to augment human judgement, he said that there will be massive consequences of that, and some of that change is already happening. How they are going to adjust to this change is "a fascinating problem," he added. Kahneman was awarded the Nobel Prize for Economics in 2002 along with American Vernon L. Smith.

When science and technology meet social and economic systems, you tend to see something akin to what the late Stephen Jay Gould called "punctuated equilibrium" in his description of evolutionary biology. Something that has been stable for a long period is suddenly disrupted radically--and then settles into a new equilibrium.1 1.See Stephen Jay Gould, Punctuated Equilibrium, Cambridge, MA: Harvard University Press, 2007. Gould pointed out that fossil records show that species change does not advance gradually but often massively and disruptively. After the mass extinctions that have occurred several times across evolutionary eras, a minority of species survived and the voids in the ecosystem rapidly filled with massive speciation. Gould's theory addresses the discontinuity in fossil records that puzzled Charles Darwin.

Big data, the Internet of Things, and artificial intelligence hold such disruptive power that they have inverted the dynamics of technology leadership. When science and technology meet social and economic systems, you tend to see something akin to what the late Stephen Jay Gould called "punctuated equilibrium" in his description of evolutionary biology. Something that has been stable for a long period is suddenly disrupted radically--and then settles into a new equilibrium.1 1.See Stephen Jay Gould, Punctuated Equilibrium, Cambridge, MA: Harvard University Press, 2007. Gould pointed out that fossil records show that species change does not advance gradually but often massively and disruptively. After the mass extinctions that have occurred several times across evolutionary eras, a minority of species survived and the voids in the ecosystem rapidly filled with massive speciation.

It's your nighttime routine: You drop your phone onto the nightstand charging pad, and it asks about your day. You tell it, talking to the virtual personal assistant just like you'd talk to a friend. Your phone's artificial intelligence knows you almost as well as you know yourself (maybe even better). So when it suggests ways to get through tomorrow's calendar, you trust its advice. AI is practically everywhere, and getting smarter all the time.

Facebook is creating videos to educate the masses about the basics of AI. Here, a simple graphic shows how a computer is taught the difference between images of cars and dogs. If you're obsessed with "Westworld" or "Ex Machina," you might be preparing for humankind's impending doom. You know, the dawn of artificial intelligence. The social network on Thursday launched a campaign aimed at demystifying AI by educating people on the basics of how it works.

It's your nighttime routine: You drop your phone onto the nightstand charging pad, and it asks about your day. You tell it, talking to the virtual personal assistant just like you'd talk to a friend. Your phone's artificial intelligence knows you almost as well as you know yourself (maybe even better). So when it suggests ways to get through tomorrow's calendar, you trust its advice. AI is practically everywhere, and getting smarter all the time.

It's your nighttime routine: You drop your phone onto the nightstand charging pad, and it asks about your day. You tell it, talking to the virtual personal assistant just like you'd talk to a friend. Your phone's artificial intelligence knows you almost as well as you know yourself (maybe even better). So when it suggests ways to get through tomorrow's calendar, you trust its advice. AI is practically everywhere, and getting smarter all the time.

It's your nighttime routine: You drop your phone onto the nightstand charging pad, and it asks about your day. You tell it, talking to the virtual personal assistant just like you'd talk to a friend. Your phone's artificial intelligence knows you almost as well as you know yourself (maybe even better). So when it suggests ways to get through tomorrow's calendar, you trust its advice. AI is practically everywhere, and getting smarter all the time.

Your phone's artificial intelligence knows you almost as well as you know yourself (maybe even better). So when it suggests ways to get through tomorrow's calendar, you trust its advice," Shankland writes. "Get ready, people: It's not that far off." "Since the first AI research effort 60 years ago at a Dartmouth College conference, humanity has been heading toward computer-based systems that can eventually learn and adapt for themselves," Shankland writes. "Super-capable AI will have its downside.