“Where should we hire for this role?” is the question most workforce leaders Google, prompt into ChatGPT, or debate in Slack — usually without a confident answer.

With global hiring now standard and 2026 expansion plans accelerating across midmarket companies, the real bottleneck isn’t a lack of information; it’s a lack of a credible starting point. Generic AI returns averages. Internal spreadsheets are months stale. Consultants take weeks.

The companies moving fastest use a new category of tool: AI-powered workforce planning, which gives leaders a fast, directional read on where to hire, what it will cost, and how hard it will be — grounded in real employment data rather than scraped public sources.

Global hiring: it’s not a recruiting question. It’s a workforce planning question.

Not long ago, when companies wanted to hire, they’d start by looking for people in their local market, only expanding if they couldn’t find someone nearby. But that focus has changed. “Now, in the world where organizations can hire anywhere, it’s less about who I should hire and more about where I should hire,” explains Isaac Rahman, principal product manager, Safeguard Global.  

This change couldn’t have come at a better time. With companies facing cost pressures in legacy markets, along with mergers and acquisitions and restructuring activities, they’re seeking to optimize costs. Looking globally allows business leaders to identify talent in lower-cost markets.

However, Rahman says that looking for the least expensive option isn’t always what’s best in the long term.

“Finding the best answer involves a broader set of factors: where the talent actually exists, what total employment cost looks like once taxes and regulations are factored in, and whether time zone alignment, compliance requirements, and business risk have been properly considered.”

With the increased complexity of where to expand, the need to get it right, and the risks of getting it wrong are only escalating. “The decisions companies make now can shape cost structure, compliance exposure, and talent strategy for years,” he adds.

Despite the elevated stakes and new pressures, many teams still make hiring decisions based on antiquated methods, such as spreadsheets, generic salary surveys, and instinct.

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