{ "story_id": "c6da99555a0a2cae9d788d6c8dbaf067", "desk": "drm3", "revision": 1, "published_at": "2026-09-02T13:09:47.000Z", "content_hash": "1cf6256cf986085e2f12897e5224ab668f25032201e5195bbed84b0d5e5e8c1a", "hash_basis": "sha256 over `headline\\ndek\\nprose`, plus `\\n` + the canonical citations JSON when any source is placed, plus `\\n#blog` for blogs", "basis": { "headline": "US Private Sector Adds 38,000 Jobs in August, ADP Report Shows", "dek": "ADP reports US private sector added 38,000 jobs in August, below economist expectations of 48,000.", "prose": "ADP's National Employment Report, compiled with the Stanford Digital Economy Lab, reported that US private sector employment grew by 38,000 jobs in August, after a revised increase of 46,000 in July. [^1]\n\nThe ADP National Employment Report showed on Wednesday that U.S. private payrolls increased by 38,000 jobs in August. [^2]\n\nEconomists surveyed by Reuters expected US private sector employment to increase by 48,000 jobs in August, following a gain of 44,000 in July, based on earlier data. [^3]\n\nReuters-polled economists expected US nonfarm payrolls to have increased by 56,000 jobs in August, after a decline of 23,000 in July, and the unemployment rate to hold steady at 4.1 percent. [^4]\n\nThe Bureau of Labor Statistics (BLS) reported on Tuesday that there were 1.05 job openings per unemployed person in July, barely changed from June and consistent with stable labor market conditions. [^5]\n\nEconomists polled by Reuters had forecast private employment would advance by 48,000 after a previously reported rise of 44,000 in July. [^6]\n\nA Gartner survey from May 2026 of 210 chief sales officers found that AI returns an average of 4.8 hours per seller per week, yet 72% of sales organizations report low reinvestment of that reclaimed time into high-value activities. [^7]\n\nA Stanford Digital Economy Lab examination of 51 enterprise AI deployments found that most were scored as cost reduction, while the largest returns clustered among companies that aimed AI at revenue instead. [^8]\n\nPeddinen stated that when a leadership team cannot tell whether a transformation is working, the problem is usually the unit in which the data is measured rather than the data itself. [^9]\n\nSreedhar Peddinen, CEO and Co-Founder of GTM Buddy, stated that most enterprises are funding an AI transformation they cannot yet define. 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