New Jersey 2022-2023 Regular Session

New Jersey Assembly Bill A5451

Introduced
5/11/23  

Caption

Provides corporation business and gross income tax credit for employment of persons who have experienced job loss due to automation.

Impact

By offering this tax credit, A5451 seeks to alleviate some of the economic pressures stemming from automation-induced job losses. According to supporting documents, a significant portion of New Jersey's workforce, especially in lower-paying jobs, is at risk due to automation. The bill aims to cushion the impact by encouraging companies to reintegrate displaced workers into the workforce, thereby lessening the potential fallout on the state's economy and improving job security for affected employees.

Summary

Assembly Bill A5451 aims to provide a financial incentive for businesses to hire individuals who have lost their jobs due to automation. It introduces a corporation business and gross income tax credit that amounts to 10% of the salary and wages paid to eligible employees for a business headquartered in New Jersey. To qualify for this credit, the business must retain the new employee for at least seven months, and the credit can be capped at $2,500 per employee for each privilege period or taxable year. This legislation reflects a response to the growing concerns surrounding job displacement caused by technological advancements.

Contention

The introduction of A5451 has sparked discussions about the balance between automation technology and job preservation. Some stakeholders believe that while automating processes can lead to increased efficiency, there needs to be a corresponding safety net for workers who may find themselves out of work. The bill's supporters argue that it addresses a critical issue in the job market, while detractors may raise concerns about the reliance on businesses to adapt and hire displaced workers as automation continues to evolve.

Companion Bills

NJ S4035

Same As Provides corporation business and gross income tax credit for employment of persons who have experienced job loss due to automation.

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