Elon University
The prediction, in brief:

Need tickets to a Broadway show? Your computer will handle the transaction. Just give it a price range, seating preference and a credit card. Computers will even make it easier for you to link to a doctor in another city or connect people around the world in virtual classrooms. “Those kind of technologies will become ubiquitous with more processing power.”

Predictor: Gwennap, Linley

Prediction, in context:

In a 1995 article for USA Today, Mike Snider and James Kim write about the future of technology, quoting Linley Gwennap of the Microprocessor Report. Snider and Kim write: ”By the end of the century, personal computers will be roughly six times more powerful than they are today. The implications are enormous. Experts expect all that computing power to spread into just about all aspects of our lives. The PCs of the future will ‘enable whole new ways of interacting with computers,’ says Linley Gwennap of the Microprocessor Report. They’ll be more intelligent, allowing us to communicate in more natural ways – either by speaking to them or writing to them. And they’ll talk back to us. Need tickets to a Broadway show? Your computer will handle the transaction. Just give it a price range, seating preference and a credit card. Computers will even make it easier for you to link to a doctor in another city or connect people around the world in virtual classrooms. ‘Those kind of technologies will become ubiquitous with more processing power,’ Gwennap says. The guiding principal in the computer industry – known as Moore’s Law and named for Intel co-founder Gordon Moore – is that the number of transistors that can be pressed onto a fixed area of silicon in a microprocessor doubles every 18 months. The more transistors in the computer’s brain, the more powerful the computer.”

Date of prediction: January 1, 1995

Topic of prediction: Communication

Subtopic: General

Name of publication: USA Today

Title, headline, chapter name: PCs in the Year 2000

Quote Type: Partial quote

Page number or URL of document at time of study:
http://web.lexis-nexis.com/universe/document?_m=928b7f82f947e436f52f14caa2a74deb&_docnum=3&wchp=dGLbVzb-lSlAl&_md5=77d7b913bf251be8414b1c6c01fbd468

This data was logged into the Elon/Pew Predictions Database by: Anderson, Janna Quitney