Have you ever set up an interview with a promising candidate who never showed up? Has a potential new hire quit responding to your emails and phone calls? This behavior is known as ghosting and it’s happening more frequently as the job market strengthens.
In August, 3.6 million people voluntarily quit their jobs in search of better pay, better hours or a better cultural fit. In a market flush with opportunities, candidates have no trouble securing multiple job offers and an increasing number of them don’t bother to communicate when they choose not to accept a job. It’s a disturbing trend, but what can employers do about it?
All employers, large and small, are competing to attract and retain employees for the same hard-to-fill jobs in today’s highly competitive, candidate-driven marketplace.
McKinsey & Company reports that more than three- quarters of Fortune 500 CEOs do not believe their companies are effective at attracting highly talented people. Of those CEOs who do consider their companies successful at attracting top talent, only 7% believe they are effective in retaining them.
In Part 1 of this blog story I urged professional sourcers to adapt their focus as machine learning and artificial intelligence (AI) play in increasing role in the field. In a nutshell, AI can now do many sourcing activities better and faster than humans. However, there are still important things that humans do better than machines. Sourcers who focus on those things will continue to be in demand, while those who don't adapt may be edged out.
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Artificial intelligence (AI) and machine learning are changing the sourcing game, and smart sourcers are adapting. In our quest to stay cutting edge, my team implemented a few new practices discussed at SourceCon, and in this two-part blog I want to share some of those methods. You probably know that AI and machine learning are already a part of our lives. That's how companies like Netflix and Amazon learn your preferences so they can make suggestions. If you use Siri, Google Assistant or Alexa, you interact with machine learning regularly.
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