From the Dot-Com Boom to an AI Bubble? Why Data Literacy Is Becoming a Question
From the Dot-Com Boom to an AI Bubble? Why Data Literacy Is Becoming a Question
What if AI is the next big bubble?
The comparison with the dot-com era reveals what is real progress, what is merely hype and why we need to understand data before simply trusting the answers.
Presented by
Speakers
Track: World of AI & Future of Tech
Language: German
The internet made knowledge more accessible, markets more open and data available to a growing number of people.
AI promises the next great leap.
At the same time, billions are flowing into chips, data centres and models whose development and control are increasingly concentrated among a few global technology companies.
This talk compares today’s AI boom with the dot-com era:
Which parallels are real?
Where does the comparison fall short?
And what would an AI bubble mean for companies, labour markets, infrastructure, energy systems and people around the world who already depend on AI?
Data literacy is not a relic of the pre-AI era.
It determines whether we simply use AI and believe its promises or understand how those promises are created.
Those who can assess data, models and their limitations are better equipped to distinguish real progress from hype and to recognise whose interests a particular interpretation serves.
- Which parallels between the dot-com boom and today’s AI hype really hold up and where the two developments differ fundamentally.
- How an AI bubble could affect investment, businesses, jobs, infrastructure and consumers around the world.
- How a small number of technology companies can influence which data models see and how knowledge is interpreted.
- Why AI does not make data literacy obsolete, but turns it into a prerequisite for independent and informed decisions.
©Andreas Bierwirth