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   <title>Protiviti Named to Fast Company Best Workplaces for Innovators 2026 List</title>
   <link>http://www.streetinsider.com/Press+Releases/Protiviti+Named+to+Fast+Company+Best+Workplaces+for+Innovators+2026+List/27038995.html</link>
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&lt;p class=&quot;prntac&quot;&gt; &lt;i&gt;Global consulting firm honored for embedding innovation, AI training and employee-driven problem-solving into the workplace experience&lt;/i&gt;&lt;/p&gt;&lt;p&gt;&lt;span class=&quot;legendSpanClass&quot;&gt;&lt;location value=&quot;LU/us.ca.menark&quot; idsrc=&quot;xmltag.org&quot; &gt;MENLO PARK, Calif.&lt;/location&gt;&lt;/span&gt;, &lt;span class=&quot;legendSpanClass&quot;&gt;&lt;chron&gt;Sept. 9, 2026&lt;/chron&gt;&lt;/span&gt; /PRNewswire/ -- Global consulting firm &lt;span value=&quot;ACORN:5020019164&quot; idsrc=&quot;xmltag.org&quot; &gt;Protiviti&lt;/span&gt; has been named to &lt;i&gt;&lt;span&gt;Fast Company&lt;/span&gt;&lt;/i&gt;'s &lt;a target=&quot;_blank&quot; href=&quot;https://edge.prnewswire.com/c/link/?t=0&amp;amp;l=en&amp;amp;o=4769556-1&amp;amp;h=58289089&amp;amp;u=https%3A%2F%2Fwww.fastcompany.com%2F91590157%2Fnorth-america-best-workplaces-for-innovators-2026&amp;amp;a=Best+Workplaces+for+Innovators+in+North+America+2026+list&quot; target=&quot;_blank&quot; rel=&quot;nofollow&quot;&gt;Best Workplaces for Innovators in &lt;location value=&quot;LB/nam&quot; idsrc=&quot;xmltag.org&quot; &gt;North America&lt;/location&gt; 2026 list&lt;/a&gt;, underscoring the firm's commitment to making innovation a practical, employee-driven part of how people learn, collaborate and deliver value for clients.&lt;/p&gt;
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   <title>Protiviti Named to Fast Company Best Workplaces for Innovators 2026 List</title>
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&lt;p class=&quot;prntac&quot;&gt; &lt;i&gt;Global consulting firm honored for embedding innovation, AI training and employee-driven problem-solving into the workplace experience&lt;/i&gt;&lt;/p&gt;&lt;p&gt;&lt;span class=&quot;legendSpanClass&quot;&gt;&lt;location value=&quot;LU/us.ca.menark&quot; idsrc=&quot;xmltag.org&quot; &gt;MENLO PARK, Calif.&lt;/location&gt;&lt;/span&gt;, &lt;span class=&quot;legendSpanClass&quot;&gt;&lt;chron&gt;Sept. 9, 2026&lt;/chron&gt;&lt;/span&gt; /PRNewswire/ -- Global consulting firm &lt;span value=&quot;ACORN:5020019164&quot; idsrc=&quot;xmltag.org&quot; &gt;Protiviti&lt;/span&gt; has been named to &lt;i&gt;&lt;span&gt;Fast Company&lt;/span&gt;&lt;/i&gt;'s &lt;a target=&quot;_blank&quot; href=&quot;https://edge.prnewswire.com/c/link/?t=0&amp;amp;l=en&amp;amp;o=4769556-1&amp;amp;h=58289089&amp;amp;u=https%3A%2F%2Fwww.fastcompany.com%2F91590157%2Fnorth-america-best-workplaces-for-innovators-2026&amp;amp;a=Best+Workplaces+for+Innovators+in+North+America+2026+list&quot; target=&quot;_blank&quot; rel=&quot;nofollow&quot;&gt;Best Workplaces for Innovators in &lt;location value=&quot;LB/nam&quot; idsrc=&quot;xmltag.org&quot; &gt;North America&lt;/location&gt; 2026 list&lt;/a&gt;, underscoring the firm's commitment to making innovation a practical, employee-driven part of how people learn, collaborate and deliver value for clients.&lt;/p&gt;
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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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   <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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   <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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   <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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   <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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   <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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   <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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   	   	<category domain="http://rss.financialcontent.com/stocksymbol">VRSK</category>
   	  </item>
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</rss>
