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Within the order, the White House directed the federal government to prioritize competition policy and enforcement within companies.

Among the major worker groups, the unemployment rates for adult men (4.0%) and Whites (3.8%) increased.

This is primarily the result of recent White House executive orders (EOs) that seek to end DEI policies and programs within the federal government and require federal contractors to certify they are not operating “unlawful” DEI programs.

The White House projects qualifying workers could save an average of $2,000 per year.

While the full report is expected to come out by the middle of March of this year, the following two strands of employee view stand out for white-collar professionals in the MENA region, and many of these findings reflect the state of remote work, and how employees feel about remote work, throughout the world.

.; For an employee to be exempt, that person must meet specific salary-basis and duties tests for: ;Executive, administrative or professional (EAP, or otherwise known as “white collar”) employees;; ;Outside sales or computer employees; and/or; ;Certain highly compensated employees .; To be considered exempt, employees must: ;Be paid a salary that meets the DOL’s salary-level requirements ;; ;Be paid on a salary basis; and,; ;Have primary job duties that fit one of the exemption categories.; The Minimum Wage Component The FLSA requires employers to pay covered, nonexempt employees at least the minimum wage.

This suggests that automation pressures are disproportionately suppressing wage gains in lower-paid roles, which is contrary to narratives that AI is mostly impacting high-earning, white-collar jobs,” said Revelio experts.

Furthermore, the employees who do participate in tuition reimbursement programs tend to work in white-collar roles, raising potential equity issues.

Broken down by demographic, the figure is 99 for Asian women, 89 for White women, 65 for Latinas and 54 for Black women.

Among the major worker groups, the jobless rates for adult men (4.0%), adult women (3.7%), teenagers (15.2%), Whites (3.7%), Blacks (7.2%), Asians (3.9%) and Hispanics (5.0%) showed little change.