Sekėjai

Ieškoti šiame dienoraštyje

2026 m. gegužės 28 d., ketvirtadienis

How to Force Both Employers and Employees to Look for Meaningful Work for People in the Age of AI and Robots?

 

It is necessary to prohibit not only dismissals due to the application of AI and robots, as Chinese courts do, but also to prohibit the elimination of jobs for people without hiring new people when this work is already being performed by robots and AI. Each application of AI must be compensated by the creation and preservation of a new, different type of job for people. AI can control this process. In this way, businesses can take care of the preservation of the state, and potential employees can adapt to new jobs in advance, seeing what kind of jobs appear on the market.

In order to achieve that artificial intelligence (AI) and robotization create new jobs, rather than destroy existing ones, a systematic approach is needed, including legal regulation, tax policy, and the synergy of business and education.

Here are some strategies for implementing the model proposed here:

1. Mandatory “Job Equivalent” Rule

Instead of strict prohibitions that can hinder innovation, a “1-to-1” rule could be applied. Every job that is automated by AI or robots would become an obligation for businesses to create a new, higher-value job for the same or a replacement employee.

• Retraining of employees: Businesses would be required to finance the retraining of employees before implementing technologies so that employees can smoothly transition to new roles.

• Sharing of responsibilities: The state could provide tax incentives to companies that invest in retraining their employees, thus encouraging businesses to care about the public good.

2. AI control and monitoring systems

As we mentioned, AI can help balance this process. This can be achieved by creating national or international AI labor market monitoring systems:

• Forecasting: AI systems would analyze market trends and show in real time what new professions and skills will be needed in 2-5 years.

• Compatibility matrix: AI could help match the competencies of existing employees with new, untouched by automation or newly created jobs.

3. “Automation tax” and subsidy mechanism

To make business interested in creating new jobs, and not simply increasing profits at the expense of automation:

• Automation tax: Companies that completely abandon human labor and do not hire new employees could be subject to increased taxes that are already collected now.

• Subsidies and support: The funds received would be redistributed as subsidies to those companies and educational institutions that implement technologies, but at the same time create new jobs for people and prepare those people. This would allow preserving human capital in the country.

4. Early Warning and Education System

• Data openness: Companies using AI would be legally obliged to publish automation plans at least 1-2 years in advance.

• Adaptability: This would allow the education system (universities, colleges) and potential employees to see in advance what specialists will be needed in the future and prepare for changes without stress or the risk of unemployment.

 


Komentarų nėra: