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IBM Sells Salary.com Compensation Business To The Original Founding Team

Ingrid Lunden / TechCrunch :

TechCrunch Ingrid Lunden

Context & Ripple Effects

IBM is running a two-sided portfolio shuffle in early 2016: it just closed its purchase of The Weather Co. and put Weather CEO David Kenny in charge of the Watson platform, while separately buying up design agencies like Ecx.io. Selling the Salary.com compensation unit back to its original founding team is the sell side of that same trade — shedding an older data property to concentrate on Watson-era bets.

The buyer is notable too: rather than shopping the asset to a strategic acquirer, IBM returned it to the founders, a path more common for units too small to interest big buyers. It sits inside a broader squeeze on standalone HR and jobs-data businesses, where LinkedIn has been buying recruitment-data startups like Careerify while smaller players such as Simply Hired are winding down.

First-order effects

  • Salary.com's original founding team regains ownership of the compensation-data business from IBM, taking full control of product direction without a corporate parent.
  • IBM exits the salary-benchmarking data niche immediately, freeing resources for the Watson platform build-out it staffed with the Weather Co. acquisition.

Second-order effects

  • In HR data, scale players like LinkedIn — which acquired Careerify to feed its recruitment-data ambitions — gain relative ground as independent compensation and jobs-data assets change hands or fold, with Simply Hired's shutdown showing how thin margins have gotten outside the platforms.

Third-order effects

  • If the pattern holds, IBM keeps trading legacy information properties for AI-platform capability — a logic that resurfaced years later when it agreed to sell its weather business including Weather.com to private equity firm Francisco Partners — pointing toward big-tech portfolios organized around one core platform rather than collections of content-and-data sites.

The trend: Large tech companies are pruning legacy data and media assets back to founders or financial buyers to concentrate capital on AI platform bets like Watson.