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   <title>Global Hiring Outlook Strengthens for Q4 as Workforce Transformation Drives Demand for New Skills</title>
   <link>http://www.streetinsider.com/Press+Releases/Global+Hiring+Outlook+Strengthens+for+Q4+as+Workforce+Transformation+Drives+Demand+for+New+Skills/27034532.html</link>
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&lt;div class=&quot;xn-content&quot;&gt;
&lt;p&gt;&lt;i&gt;Employer hiring intentions rise six points year-over-year, with nearly two-thirds of those expanding headcount hiring for new capabilities and just one third replacing like-for-like skills&lt;/i&gt;&lt;/p&gt;&lt;p&gt;&lt;span class=&quot;legendSpanClass&quot;&gt;&lt;location value=&quot;LU/us.wi.milkee&quot; idsrc=&quot;xmltag.org&quot; &gt;MILWAUKEE&lt;/location&gt;&lt;/span&gt;, &lt;span class=&quot;legendSpanClass&quot;&gt;&lt;chron&gt;Sept. 8, 2026&lt;/chron&gt;&lt;/span&gt; /PRNewswire/ -- Employers expect Global hiring momentum to strengthen slightly heading into the final quarter of 2026, according to &lt;span value=&quot;NYSE:MAN&quot; idsrc=&quot;xmltag.org&quot; &gt;ManpowerGroup's&lt;/span&gt; latest &lt;a target=&quot;_blank&quot; href=&quot;https://edge.prnewswire.com/c/link/?t=0&amp;amp;l=en&amp;amp;o=4768564-1&amp;amp;h=2568562891&amp;amp;u=https%3A%2F%2Fwww.manpowergroup.com%2Fen%2Finsights%2Fq4-2026-manpowergroup-employment-outlook-survey&amp;amp;a=Employment+Outlook+Survey&quot; target=&quot;_blank&quot; rel=&quot;nofollow&quot;&gt;&lt;span&gt;Employment Outlook Survey&lt;/span&gt;&lt;/a&gt; of 39,878 employers across 42 countries. The global Net Employment Outlook (NEO) for Q4 2026 stands at 29%, up two points from the previous quarter and six points from the same period last year.&lt;/p&gt;&lt;p&gt;Beneath the headline,</description>
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   <pubDate>Tue, 08 Sep 2026 09:31:00 -0400</pubDate>
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   <title>Global Hiring Outlook Strengthens for Q4 as Workforce Transformation Drives Demand for New Skills</title>
   <link>http://www.streetinsider.com/PRNewswire/Global+Hiring+Outlook+Strengthens+for+Q4+as+Workforce+Transformation+Drives+Demand+for+New+Skills/27034532.html</link>
   <description>
&lt;div class=&quot;xn-content&quot;&gt;
&lt;p&gt;&lt;i&gt;Employer hiring intentions rise six points year-over-year, with nearly two-thirds of those expanding headcount hiring for new capabilities and just one third replacing like-for-like skills&lt;/i&gt;&lt;/p&gt;&lt;p&gt;&lt;span class=&quot;legendSpanClass&quot;&gt;&lt;location value=&quot;LU/us.wi.milkee&quot; idsrc=&quot;xmltag.org&quot; &gt;MILWAUKEE&lt;/location&gt;&lt;/span&gt;, &lt;span class=&quot;legendSpanClass&quot;&gt;&lt;chron&gt;Sept. 8, 2026&lt;/chron&gt;&lt;/span&gt; /PRNewswire/ -- Employers expect Global hiring momentum to strengthen slightly heading into the final quarter of 2026, according to &lt;span value=&quot;NYSE:MAN&quot; idsrc=&quot;xmltag.org&quot; &gt;ManpowerGroup's&lt;/span&gt; latest &lt;a target=&quot;_blank&quot; href=&quot;https://edge.prnewswire.com/c/link/?t=0&amp;amp;l=en&amp;amp;o=4768564-1&amp;amp;h=2568562891&amp;amp;u=https%3A%2F%2Fwww.manpowergroup.com%2Fen%2Finsights%2Fq4-2026-manpowergroup-employment-outlook-survey&amp;amp;a=Employment+Outlook+Survey&quot; target=&quot;_blank&quot; rel=&quot;nofollow&quot;&gt;&lt;span&gt;Employment Outlook Survey&lt;/span&gt;&lt;/a&gt; of 39,878 employers across 42 countries. The global Net Employment Outlook (NEO) for Q4 2026 stands at 29%, up two points from the previous quarter and six points from the same period last year.&lt;/p&gt;&lt;p&gt;Beneath the headline,</description>
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   <pubDate>Tue, 08 Sep 2026 09:31:00 -0400</pubDate>
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   <title>Goldman Sachs identifies AI winners as monetization moves beyond software seats</title>
   <link>http://www.streetinsider.com/Hot+List/Goldman+Sachs+identifies+AI+winners+as+monetization+moves+beyond+software+seats/27031099.html</link>
   <description>&lt;p&gt;Competitive positioning of AI companies will depend on whether they own differentiated data, control critical workflows, and can convert AI-enabled activity into incremental customer spending, says Goldman Sachs. In a note, firm analysts identify four key themes and AI winners as monetization moves beyond software seats.&lt;/p&gt;&lt;p&gt;Goldman Sachs thinks four key themes will emerge as AI adoption increases: 1. proprietary information will become more valuable; 2. AI applications will expand from information delivery into workflow execution; 3. physical services and education platforms might be better insulated than business models associated with white collar staffing volumes; and 4. monetization will likely broaden</description>
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   <title>Goldman Sachs identifies AI winners as monetization moves beyond software seats</title>
   <link>http://www.streetinsider.com/Hot+List/Goldman+Sachs+identifies+AI+winners+as+monetization+moves+beyond+software+seats/27031099.html</link>
   <description>&lt;p&gt;Competitive positioning of AI companies will depend on whether they own differentiated data, control critical workflows, and can convert AI-enabled activity into incremental customer spending, says Goldman Sachs. In a note, firm analysts identify four key themes and AI winners as monetization moves beyond software seats.&lt;/p&gt;&lt;p&gt;Goldman Sachs thinks four key themes will emerge as AI adoption increases: 1. proprietary information will become more valuable; 2. AI applications will expand from information delivery into workflow execution; 3. physical services and education platforms might be better insulated than business models associated with white collar staffing volumes; and 4. monetization will likely broaden</description>
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   <title>Goldman Sachs identifies AI winners as monetization moves beyond software seats</title>
   <link>http://www.streetinsider.com/Hot+List/Goldman+Sachs+identifies+AI+winners+as+monetization+moves+beyond+software+seats/27031099.html</link>
   <description>&lt;p&gt;Competitive positioning of AI companies will depend on whether they own differentiated data, control critical workflows, and can convert AI-enabled activity into incremental customer spending, says Goldman Sachs. In a note, firm analysts identify four key themes and AI winners as monetization moves beyond software seats.&lt;/p&gt;&lt;p&gt;Goldman Sachs thinks four key themes will emerge as AI adoption increases: 1. proprietary information will become more valuable; 2. AI applications will expand from information delivery into workflow execution; 3. physical services and education platforms might be better insulated than business models associated with white collar staffing volumes; and 4. monetization will likely broaden</description>
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   <title>Goldman Sachs identifies AI winners as monetization moves beyond software seats</title>
   <link>http://www.streetinsider.com/Hot+List/Goldman+Sachs+identifies+AI+winners+as+monetization+moves+beyond+software+seats/27031099.html</link>
   <description>&lt;p&gt;Competitive positioning of AI companies will depend on whether they own differentiated data, control critical workflows, and can convert AI-enabled activity into incremental customer spending, says Goldman Sachs. In a note, firm analysts identify four key themes and AI winners as monetization moves beyond software seats.&lt;/p&gt;&lt;p&gt;Goldman Sachs thinks four key themes will emerge as AI adoption increases: 1. proprietary information will become more valuable; 2. AI applications will expand from information delivery into workflow execution; 3. physical services and education platforms might be better insulated than business models associated with white collar staffing volumes; and 4. monetization will likely broaden</description>
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   <title>Goldman Sachs identifies AI winners as monetization moves beyond software seats</title>
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   <description>&lt;p&gt;Competitive positioning of AI companies will depend on whether they own differentiated data, control critical workflows, and can convert AI-enabled activity into incremental customer spending, says Goldman Sachs. In a note, firm analysts identify four key themes and AI winners as monetization moves beyond software seats.&lt;/p&gt;&lt;p&gt;Goldman Sachs thinks four key themes will emerge as AI adoption increases: 1. proprietary information will become more valuable; 2. AI applications will expand from information delivery into workflow execution; 3. physical services and education platforms might be better insulated than business models associated with white collar staffing volumes; and 4. monetization will likely broaden</description>
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   <title>Goldman Sachs identifies AI winners as monetization moves beyond software seats</title>
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   <description>&lt;p&gt;Competitive positioning of AI companies will depend on whether they own differentiated data, control critical workflows, and can convert AI-enabled activity into incremental customer spending, says Goldman Sachs. In a note, firm analysts identify four key themes and AI winners as monetization moves beyond software seats.&lt;/p&gt;&lt;p&gt;Goldman Sachs thinks four key themes will emerge as AI adoption increases: 1. proprietary information will become more valuable; 2. AI applications will expand from information delivery into workflow execution; 3. physical services and education platforms might be better insulated than business models associated with white collar staffing volumes; and 4. monetization will likely broaden</description>
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   <title>Goldman Sachs identifies AI winners as monetization moves beyond software seats</title>
   <link>http://www.streetinsider.com/Hot+List/Goldman+Sachs+identifies+AI+winners+as+monetization+moves+beyond+software+seats/27031099.html</link>
   <description>&lt;p&gt;Competitive positioning of AI companies will depend on whether they own differentiated data, control critical workflows, and can convert AI-enabled activity into incremental customer spending, says Goldman Sachs. In a note, firm analysts identify four key themes and AI winners as monetization moves beyond software seats.&lt;/p&gt;&lt;p&gt;Goldman Sachs thinks four key themes will emerge as AI adoption increases: 1. proprietary information will become more valuable; 2. AI applications will expand from information delivery into workflow execution; 3. physical services and education platforms might be better insulated than business models associated with white collar staffing volumes; and 4. monetization will likely broaden</description>
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   <description>&lt;p&gt;Competitive positioning of AI companies will depend on whether they own differentiated data, control critical workflows, and can convert AI-enabled activity into incremental customer spending, says Goldman Sachs. In a note, firm analysts identify four key themes and AI winners as monetization moves beyond software seats.&lt;/p&gt;&lt;p&gt;Goldman Sachs thinks four key themes will emerge as AI adoption increases: 1. proprietary information will become more valuable; 2. AI applications will expand from information delivery into workflow execution; 3. physical services and education platforms might be better insulated than business models associated with white collar staffing volumes; and 4. monetization will likely broaden</description>
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   <description>&lt;p&gt;Competitive positioning of AI companies will depend on whether they own differentiated data, control critical workflows, and can convert AI-enabled activity into incremental customer spending, says Goldman Sachs. In a note, firm analysts identify four key themes and AI winners as monetization moves beyond software seats.&lt;/p&gt;&lt;p&gt;Goldman Sachs thinks four key themes will emerge as AI adoption increases: 1. proprietary information will become more valuable; 2. AI applications will expand from information delivery into workflow execution; 3. physical services and education platforms might be better insulated than business models associated with white collar staffing volumes; and 4. monetization will likely broaden</description>
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   <title>Goldman Sachs identifies AI winners as monetization moves beyond software seats</title>
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   <description>&lt;p&gt;Competitive positioning of AI companies will depend on whether they own differentiated data, control critical workflows, and can convert AI-enabled activity into incremental customer spending, says Goldman Sachs. In a note, firm analysts identify four key themes and AI winners as monetization moves beyond software seats.&lt;/p&gt;&lt;p&gt;Goldman Sachs thinks four key themes will emerge as AI adoption increases: 1. proprietary information will become more valuable; 2. AI applications will expand from information delivery into workflow execution; 3. physical services and education platforms might be better insulated than business models associated with white collar staffing volumes; and 4. monetization will likely broaden</description>
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   <title>Goldman Sachs identifies AI winners as monetization moves beyond software seats</title>
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   <description>&lt;p&gt;Competitive positioning of AI companies will depend on whether they own differentiated data, control critical workflows, and can convert AI-enabled activity into incremental customer spending, says Goldman Sachs. In a note, firm analysts identify four key themes and AI winners as monetization moves beyond software seats.&lt;/p&gt;&lt;p&gt;Goldman Sachs thinks four key themes will emerge as AI adoption increases: 1. proprietary information will become more valuable; 2. AI applications will expand from information delivery into workflow execution; 3. physical services and education platforms might be better insulated than business models associated with white collar staffing volumes; and 4. monetization will likely broaden</description>
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   <title>Goldman Sachs identifies AI winners as monetization moves beyond software seats</title>
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   <description>&lt;p&gt;Competitive positioning of AI companies will depend on whether they own differentiated data, control critical workflows, and can convert AI-enabled activity into incremental customer spending, says Goldman Sachs. In a note, firm analysts identify four key themes and AI winners as monetization moves beyond software seats.&lt;/p&gt;&lt;p&gt;Goldman Sachs thinks four key themes will emerge as AI adoption increases: 1. proprietary information will become more valuable; 2. AI applications will expand from information delivery into workflow execution; 3. physical services and education platforms might be better insulated than business models associated with white collar staffing volumes; and 4. monetization will likely broaden</description>
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   <description>&lt;p&gt;Competitive positioning of AI companies will depend on whether they own differentiated data, control critical workflows, and can convert AI-enabled activity into incremental customer spending, says Goldman Sachs. In a note, firm analysts identify four key themes and AI winners as monetization moves beyond software seats.&lt;/p&gt;&lt;p&gt;Goldman Sachs thinks four key themes will emerge as AI adoption increases: 1. proprietary information will become more valuable; 2. AI applications will expand from information delivery into workflow execution; 3. physical services and education platforms might be better insulated than business models associated with white collar staffing volumes; and 4. monetization will likely broaden</description>
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   <description>&lt;p&gt;Competitive positioning of AI companies will depend on whether they own differentiated data, control critical workflows, and can convert AI-enabled activity into incremental customer spending, says Goldman Sachs. In a note, firm analysts identify four key themes and AI winners as monetization moves beyond software seats.&lt;/p&gt;&lt;p&gt;Goldman Sachs thinks four key themes will emerge as AI adoption increases: 1. proprietary information will become more valuable; 2. AI applications will expand from information delivery into workflow execution; 3. physical services and education platforms might be better insulated than business models associated with white collar staffing volumes; and 4. monetization will likely broaden</description>
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   <description>&lt;p&gt;Competitive positioning of AI companies will depend on whether they own differentiated data, control critical workflows, and can convert AI-enabled activity into incremental customer spending, says Goldman Sachs. In a note, firm analysts identify four key themes and AI winners as monetization moves beyond software seats.&lt;/p&gt;&lt;p&gt;Goldman Sachs thinks four key themes will emerge as AI adoption increases: 1. proprietary information will become more valuable; 2. AI applications will expand from information delivery into workflow execution; 3. physical services and education platforms might be better insulated than business models associated with white collar staffing volumes; and 4. monetization will likely broaden</description>
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