C_AIG_2412 · Question #49
What are some drivers for the rapid adoption of generative AI? Note: There are 2 correct answers to this question.
The correct answer is C. Wide availability D. Ease of use. Wide availability (C) and ease of use (D) are the correct drivers because generative AI tools like ChatGPT, Copilot, and image generators became accessible to virtually anyone with an internet connection, and their natural language interfaces require no technical expertise to…
Question
What are some drivers for the rapid adoption of generative AI? Note: There are 2 correct answers to this question.
Options
- AAvailability of skilled developers
- BSignificant hardware cost savings
- CWide availability
- DEase of use
How the community answered
(17 responses)- A18% (3)
- B12% (2)
- C71% (12)
Explanation
Wide availability (C) and ease of use (D) are the correct drivers because generative AI tools like ChatGPT, Copilot, and image generators became accessible to virtually anyone with an internet connection, and their natural language interfaces require no technical expertise to operate - lowering the barrier to entry dramatically for both consumers and businesses.
Why A is wrong: A shortage of skilled developers has historically been a barrier to AI adoption, not a driver - generative AI's appeal is precisely that it reduces dependence on specialized talent.
Why B is wrong: Generative AI actually demands massive hardware investment (GPU clusters, cloud compute), making cost a barrier rather than a driver. Hardware costs for training frontier models run into hundreds of millions of dollars.
Memory tip: Think of the "2 Ws" - Wide availability and ease of use (the "Welcome, anyone!" factor). Generative AI spread fast because it was everywhere and anyone could use it - no PhD required.
Topics
Community Discussion
No community discussion yet for this question.