{"version":"1.0","type":"rich","provider_name":"Acast","provider_url":"https://acast.com","height":250,"width":700,"html":"<iframe src=\"https://embed.acast.com/$/6710bd164114798e63e10fe5/697b2979d095fd135b7ea68c?\" frameBorder=\"0\" width=\"700\" height=\"250\"></iframe>","title":"#035: AI news for business - week 5","thumbnail_width":200,"thumbnail_height":200,"thumbnail_url":"https://open-images.acast.com/shows/6710bd164114798e63e10fe5/1769679135452-e84b6fcd-e102-4c13-828a-8b8de854782f.jpeg?height=200","description":"<p><strong>AI moved from promise to proof. At Davos, leaders stopped counting pilots and started demanding impact. Budgets are holding. Returns are not. In this episode, Magnus Oxenwaldt breaks down what that shift means for AI roadmaps in 2026.</strong></p><p><br></p><blockquote><em>“For leaders driving AI transformation, the gap between AI spend and measurable impact defines 2026.”</em></blockquote><p><br></p><p><strong>Davos signalled a shift, and other key take-aways:</strong></p><ul><li>AI budgets are stable. Measurable impact is not. The gap is now the core challenge.</li><li>Centralised AI centres of excellence deliver significantly higher returns than ad hoc deployments.</li><li>The AI tooling market is fragmenting. Best-of-breed matters more than vendor loyalty.</li><li>Vendor incentives are changing. Governance models need to keep up.</li></ul><p><br></p>","author_name":"Magnus Oxenwaldt"}