Here are some of the negative effects of Gen AI:
Managing the adverse impacts of Generative AI, encompassing job displacement, the rise of deepfakes, and an exacerbation of the digital divide, will present considerable challenges in the initial stages. The tech industry often tends to downplay the potential negative consequences associated with emerging technologies. While emphasizing the positive aspects is commendable, a pragmatic assessment cannot disregard the negative implications. Snowflake’s experts have identified three immediate concerns that will pose substantial challenges during the initial widespread availability of Generative AI and Large Language Models.
Primarily, the impact on employment raises apprehensions. Despite optimistic perspectives asserting that AI will augment human capabilities rather than replace them, the reality becomes less optimistic when AI enables an individual to perform the workload of two people. Sridhar Ramaswamy notes that numerous jobs in the realm of ‘knowledge work’ could potentially vanish. Citing CBS News, he highlights the report of 4,000 jobs succumbing to AI in May 2023 alone. Drawing parallels to past technological advancements like the PC, which similarly resulted in job losses and economic sector disruptions, Ramaswamy emphasizes the challenge of swiftly absorbing displaced workers into alternative sectors due to the rapid changes induced by widespread AI adoption. He underscores the need for both the private sector and governments to proactively address this issue.