Organizations consider being a good fit integral to hiring, but finding that elusive quality has some employers stumped—so stumped that they are turning to personality questionnaires, astrology, and even handwriting analysis to help them find well-suited new-hires.

Employers have no trouble finding applicants with the necessary credentials and experience to fill a position due to the high number of qualified candidates searching for jobs. However, no one wants to make a hire only to find that the individual is a poor fit within the organization. This situation has led employers to use personality tests as well as non-traditional assessments to evaluate candidates’ compatibility with the organization.

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You use the office printer to download forms you need to give to your vet or accountant. And maybe buy some crackers and cheese from the supermarket for a snack—using your company credit card—instead of taking a client to lunch. Or just use a meal allowance on something else altogether. No big deal, right?

Wrong. Companies looking to economize are hiring the “perk police” to catch and release employees who take advantage of privileges that are frequently part of a worker’s compensation package. From Meta to Target, companies are seeking ways to fire employees for not adhering to the letter of the law, or at least company policies. After all, axing employees for cause is a lot cheaper than giving a severance package for a layoff.

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The proliferation of AI applications in business and industry is on everyone’s mind. Two Columbia College Business School professors recently discussed AI’s impact on human dynamics in the workplace.

Todd Jick and Stephan Meier acknowledged the anxiety AI is causing among the rank-and-file—and in boardrooms, especially when it comes the way management reacts to employees’ fears about being replaced by AI. To prepare staff for change, management must first make sure that employees are trained in the new skills AI requires, the academics say. In the absence of training, the human inclination to resist change will lead to diminishing returns rather than prompting the innovations AI promises.

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