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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>
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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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   <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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   <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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   <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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   <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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   	   	<category domain="http://rss.financialcontent.com/stocksymbol">CLVT</category>
   	   	<category domain="http://rss.financialcontent.com/stocksymbol">CSGP</category>
   	   	<category domain="http://rss.financialcontent.com/stocksymbol">CTAS</category>
   	   	<category domain="http://rss.financialcontent.com/stocksymbol">EFX</category>
   	   	<category domain="http://rss.financialcontent.com/stocksymbol">FDS</category>
   	   	<category domain="http://rss.financialcontent.com/stocksymbol">FICO</category>
   	   	<category domain="http://rss.financialcontent.com/stocksymbol">IRM</category>
   	   	<category domain="http://rss.financialcontent.com/stocksymbol">KFY</category>
   	   	<category domain="http://rss.financialcontent.com/stocksymbol">KLC</category>
   	   	<category domain="http://rss.financialcontent.com/stocksymbol">MAN</category>
   	   	<category domain="http://rss.financialcontent.com/stocksymbol">MCO</category>
   	   	<category domain="http://rss.financialcontent.com/stocksymbol">MH</category>
   	   	<category domain="http://rss.financialcontent.com/stocksymbol">MSCI</category>
   	   	<category domain="http://rss.financialcontent.com/stocksymbol">PXED</category>
   	   	<category domain="http://rss.financialcontent.com/stocksymbol">RHI</category>
   	   	<category domain="http://rss.financialcontent.com/stocksymbol">SPGI</category>
   	   	<category domain="http://rss.financialcontent.com/stocksymbol">TRI</category>
   	   	<category domain="http://rss.financialcontent.com/stocksymbol">TRU</category>
   	   	<category domain="http://rss.financialcontent.com/stocksymbol">ULS</category>
   	   	<category domain="http://rss.financialcontent.com/stocksymbol">VRSK</category>
   	  </item>
 </channel>
</rss>
