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Workspan Daily Plus+
08/19/2025
Editor’s Note: Additional Content
For more information and resources related to this article, see the pages below, which offer quick access to all WorldatWork content on these topics:
;Employee Compensation;
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;Total Rewards;
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Workspan Magazine
02/09/2024
Data from Jan. 1, 2023 to Jan. 1, 2024.
Author(s):
Workspan Daily
06/09/2022
Following are three major takeaways from our research: 1.
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Workspan Daily
03/14/2023
According to a new Pew Research Center analysis of median hourly earnings of full- and part-time workers, women made 82 cents for every $1 for men in 2022 as the pay gap closed only 2 percentage points since 2002.
Author(s):
Workspan Daily
06/06/2023
Here are four key areas to evaluate: 1.
Author(s):
Workspan Magazine
04/11/2024
Reason No. 1: Ratings don’t drive the cycle as much as we’d like.
Author(s):
Workspan Daily
05/08/2024
Part 1 focused on specifics of the law and what it means for EU employers.
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Workspan Daily
05/20/2024
Department of Labor’s Bureau of Labor Statistics shows women make, on average, 84 cents for every $1 earned by men, and this pay gap is even wider for women of color, who earn, on average, just 68 cents for every $1 earned by a white man.
Author(s):
Workspan Daily
07/11/2025
.;
;More than 1 in 5 frequently let AI make final decisions without human input.;
;Two-thirds of managers using AI to manage employees haven’t received any formal AI training.;
;Nearly half of managers were tasked with assessing if AI can replace their reports.;
The surveyed managers also stated they use AI to manage their teams in a variety of ways:
;97% use it to create training materials;
;94% to build employee development plans;
;91% to assess performance;
;88% to draft performance improvement plans (PIPs);
Among managers who use AI to help manage their teams, a majority (71%) express confidence in AI’s ability to make fair and unbiased decisions about employees.
Author(s):
Workspan Daily
08/19/2025
By analyzing more than 1 billion job postings, Lightcast found in its report that among employers seeking AI-fluent workers,
10 leading skills emerged — and only two of them (AI and machine learning) are actually related to the technology.
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