AI is forcing many companies to make difficult, costly hiring decisions

As artificial intelligence capabilities continue to expand, many executives are grappling with a crucial decision: Should they invest in upskilling their existing teams or bring in outside experts to jumpstart their AI initiatives?

in the coming year, the demand for external expertise is clearly on the rise. But that doesn't mean there's a one-size-fits-all solution, according to Hakan Kardes, chief experience officer at Alignment Health. Stephen Boyer, co-founder and chief innovation officer at cyber risk management firm Bitsight, says "The easy thing to do is to hire PwC because they've got people who've been doing this for a decade, but in this case nobody's been doing this thing for a decade. People have been doing machine learning and other parts of AI for a long time, but is somewhat novel."

"We set out to do something that we would call a quick win," Boyer said. "It was the recognition that we didn't have those skills but we are going to invest in doing it … without creating an entire division and hiring a lot of people. So we put two engineers on it and my time and said, 'Let's go learn, build these relationships, and then do these experiments and see if we can deliver.

Beyond just the results, Boyer highlighted the excitement his team experienced as they dove into AI experimentation. "Our engineers were energized by the challenge," he said. "It was cool to see them learning something new and bringing their creativity to the project. Seeing them feel empowered by this opportunity was just as rewarding as the technical outcomes."

Like Boyer, Kardes opted to invest in Alignment Health's internal expertise. The health insurance company has been committed to building its AI capabilities over the years, starting with the development of a proprietary data technology platform, AVA, a decade ago. Today the company has more than 200 AI models embedded in various applications and workflows, driving innovations in senior care.

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