• The true adoption and utilization of artificial intelligence within today’s extended workforce programs, hiring strategies, and talent acquisition initiatives.
• The link between AI and skills-based hiring.
• How businesses can move from an “education phase” to “adoption phase” for their AI initiatives.
• How AI can supercharge and optimize direct sourcing strategies.
• Why AI-fueled skills taxonomies are the foundation of a skills-based hiring approach.

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There is no easy answer, unfortunately. The most interesting facet regarding direct sourcing is that the industry has not yet settled on a true definition; much like contingent workforce programs can be called such without a drop of automation or third-party support, direct sourcing often falls into the same spectrum. Even without a VMS, extended workforce platform, or MSP in place, businesses can state that their non-employee workforce programs are tried-and-true (and “end-to-end”) even in cases where additional attributes, particularly services procurement and SOW management, aren’t considered part of the overall initiative.

Misconceptions surrounding direct sourcing often center on the intricacies of its implementation and the true characterization of what qualifies as genuine “direct sourcing.” Does an enterprise curating its talent internally and channeling candidates into a talent pool truly embody direct sourcing as a core workforce strategy? To discern the essence of direct sourcing, we must explore its full spectrum, including segmentation, integration into primary recruitment streams, and the facilitation of talent nurture capabilities — which is where the question arises: is automation indispensable for it to be deemed a true, end-to-end program? Do enterprises require deeper talent technology stacks to ensure direct sourcing meets its potential as a talent acquisition gamechanger?

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