Cumulatively, the work to automate tasks using AI may be more than if done manually initially.
Large language models like generative AI may become increasingly expensive due to rising computer space and electricity demands.
Validating AI output requires human experts to ensure accuracy, adding complexity and cost to the process.
AI's primary value lies in sorting through data, addressing guardrails and data pollution, rather than in revolutionizing industries.
[
add
]
[
|
|
...
]