Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
@article{203933,
author = {ria s},
title = {AI Models In Business Creator Economy},
journal = {International Journal of Innovative Research in Technology},
year = {2026},
volume = {13},
number = {1},
pages = {3342-3352},
issn = {2349-6002},
url = {https://ijirt.org/article?manuscript=203933},
abstract = {Around 250 billion US dollars - that’s the size Goldman Sachs Research gives for the worldwide creator economy in 2023. By 2027, it might hit nearly 480 billion. Behind these numbers? Artificial intelligence stands out, quietly shifting how things are made, shared, paid for, and seen online. Instead of guessing, this look comes from digging into academic studies, insights from consulting groups, plus raw details pulled straight from platforms. There was also a small peek into real opinions: fifty people weighed in, including students, early-career workers, regular app scrollers, and those trying to build something digital. They faced eight clear questions, designed not to impress but reveal what folks really think about machine-made posts and tools run by algorithms. Surprise answers didn’t flood in; instead, patterns began forming around comfort levels, recognition, and whether any of it feels trustworthy.},
keywords = {},
month = {June},
}
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