{"version":"1.0","type":"rich","provider_name":"Acast","provider_url":"https://acast.com","height":250,"width":700,"html":"<iframe src=\"https://embed.acast.com/$/659557afc7c0640016f29135/69173685e4a19aaf07ccd4e9?\" frameBorder=\"0\" width=\"700\" height=\"250\"></iframe>","title":"State of AI 2025: McKinsey Report","thumbnail_width":200,"thumbnail_height":200,"thumbnail_url":"https://open-images.acast.com/shows/659557afc7c0640016f29135/1763128944797-de8c9b1b-2b7e-4296-88a0-3727649dd0e8.jpeg?height=200","description":"<p><a href=\"https://www.mckinsey.com/~/media/mckinsey/business%20functions/quantumblack/our%20insights/the%20state%20of%20ai/november%202025/the-state-of-ai-2025-agents-innovation_cmyk-v1.pdf\" rel=\"noopener noreferrer\" target=\"_blank\">The&nbsp;<strong>State of AI 2025</strong></a>&nbsp;from McKinsey provides a reality check: AI adoption is nearly universal, yet real transformation remains concentrated among a small group of high-performing organizations. The hype is massive but the gap between excitement and enterprise-level impact is still wide.</p><p>In this post, I want to break down the findings from the report&nbsp;<em>through the lens of someone who builds and deploys AI systems</em>, often for organizations trying to scale beyond pilots. These insights reflect both what the data shows and what I see daily in my conversations with executives, engineers, and AI strategy teams.</p>","author_name":"Danar Mustafa"}