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Key Takeaways Most Don’t Fully Explain Their Rewards Programs’ Design, Purpose;November Job Cuts Continue Trend of Year-Over-Year Jumps;ManpowerGroup Predicts Stable Hiring Outlook to Start 2026;Employers Are Changing How They Evaluate Job Candidates;Figures and Facts of the Week; Most Don’t Fully Explain Their Rewards Programs’ Design, Purpose According to Korn Ferry’s latest Global Total Rewards Pulse Survey , only 1 in 4 organizations clearly explain their reward programs’ purpose and design.

For WorldatWork Members How to Calculate the ROI on Your Wellness Program , Journal of Total Rewards article;Benefits Leaders Step Up Scrutiny of Health Partners , Workspan Magazine article;What Does the Data Show on GLP-1 Prescribe Rates, Coverage, Costs?

Access bonus Workspan Daily Plus+ articles on this subject: ;Rewards Require Architecture: Structuring AI Incentives That Work; ;Ready Player 1: Using Gamification to Strengthen AI Adoption; What’s Impeding AI Adoption?

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.

Reason No. 1: Ratings don’t drive the cycle as much as we’d like.

Part 1 focused on specifics of the law and what it means for EU employers.

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. 

.; ;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.

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.

Almost 1 in 5 American workers suffer from migraines, which account for 113 million lost workdays annually.