{"version":"1.0","type":"rich","provider_name":"Acast","provider_url":"https://acast.com","height":250,"width":700,"html":"<iframe src=\"https://embed.acast.com/$/659557afc7c0640016f29135/6a7b90bb1549db32d44cbe31?\" frameBorder=\"0\" width=\"700\" height=\"250\"></iframe>","title":" Deloitte’s 2026 AI CTO Technology Leadership Study Explained","thumbnail_width":200,"thumbnail_height":200,"thumbnail_url":"https://open-images.acast.com/shows/659557afc7c0640016f29135/1786482789176-166d4957-e541-4718-98f3-2e55581627da.jpeg?height=200","description":"<p>Deloitte’s 2026 Global Technology Leadership Study reveals a major reset in the tech C-suite. Based on a survey of 662 global technology leaders, this episode explains why the era of the operational CTO is over, how AI is changing the role of CIOs, CTOs, CISOs, and CDAOs, and why enterprise technology leaders must move from uptime and delivery to business value, AI governance, data readiness, budget reallocation, and cross-functional orchestration. We break down the confidence-readiness gap, the top barriers to scaling AI agents, and what tech leaders must do in the next 12 to 18 months to thrive in the AI era.</p><p><br></p><p><strong>Keyword tags:</strong></p><p>Deloitte 2026 Global Technology Leadership Study, Tech C-suite Reset, operational CTO, CIO, CTO, CISO, CDAO, AI leadership, enterprise AI, AI governance, AI agents, technology leadership, tech leadership study, CIO strategy, CTO strategy, AI operating model, enterprise value, digital transformation, AI readiness, confidence-readiness gap, legacy integration, data quality, technology budget, AI budget, C-suite orchestration, operator to orchestrator</p>","author_name":"Danar Mustafa"}