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  Published Paper Details:

  Paper Title

Evaluating the Feasibility of Replacing Human Workforce with Physical Artificial Intelligence.

  Authors

  Firuz

  Keywords

Key Words. Physical Artificial Intelligence, Workforce Automation, Feasibility Index, Social Acceptance, Robotic Adaptability.

  Abstract


Background. The following study evaluates both the feasibility of replacing human workforce with Physical Artificial Intelligence (PAI), a term that has been developing rapidly over the past several years. Materials and Methods. We designed and utilised a "Feasibility Index" in order to accurately determine how possible it is to replace human workforce with PAI. In the Feasibility Index Formula, we would combine several crucial factors such as productivity gain, cost efficiency, reliability (R), quality (Q), safety (S), ethical/social acceptance (E) and technological maturity (T). We also analysed multiple published data and, in order to derive the required input values, conducted a custom public survey in regards to PAI in various roles, such as Robotaxis, Manipulators, Humanoids. Results. The results indicate Feasibility Index (FI) of 0, which is largely caused by low scores in adaptability (A=0) and social acceptance (E=0). Although Physical Artificial Intelligence shows significant advantages in cost efficiency (score of 2.75) and provides productivity gain (score of 1.30) for repetitive tasks, these scores are nullified due to the current technical immaturity and societal disapproval of Physical Artificial Intelligence. Conclusion. The obtained results strongly suggest that the widespread replacement of the human workforce is not currently feasible due to a low Feasibility Index, but it would be strongly beneficial and thus would need an extended period of time before it is accepted by the society, as it was the case with the adoption of the internet.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2512998

  Paper ID - 299114

  Page Number(s) - i711-i716

  Pubished in - Volume 13 | Issue 12 | December 2025

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Firuz,   "Evaluating the Feasibility of Replacing Human Workforce with Physical Artificial Intelligence.", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.13, Issue 12, pp.i711-i716, December 2025, Available at :http://www.ijcrt.org/papers/IJCRT2512998.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


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ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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