Global Scans · Intelligence · Weekly Summary

WHAT'S NEXT?: There will be an increased demand for software and services that deliver intelligence, personalization, and specialization. Artificial intelligence could become a $15+ bn opportunity by 2025. Combining human and machine cognition for engagement decisions could yield the precision and reliability of automation without sacrificing the robustness and flexibility that humans bring. The first effect of machine intelligence will be to lower the cost of goods and services that rely on prediction.

• [New] Cleveland Clinic predicts sepsis 12 hours early using AI. Appventurez
• [New] Deloitte's numbers are even more striking; only 23% of companies use agentic AI today in any meaningful way, but they project that jumps to 74% within two years. Appventurez
• [New] 85% of software professionals expect to use generative AI in 2026 to augment tasks like coding and user story generation, up from 46% in 2024. TPLEX
• [New] Ohio State University will add 100 new tenure-track faculty members with artificial intelligence expertise over the next five years. The Ohio Society of CPAs
• [New] The current regulatory direction in both the United States and Europe makes one point clear: businesses are expected to take AI governance seriously at an operational level, not merely as a written policy. Chugh, LLP - Attorneys & CPAs
• [New] With hyperscaler capex approaching $700 billion, the biggest opportunities are concentrated across a small number of companies controlling critical layers of the AI chip supply chain. Bingx Exchange
• [New] SoftBank Group announced at the 2026 Choose France summit hosted by President Emmanuel Macron that it will invest €75 billion ($87.5 billion) to develop and operate 5 gigawatts of AI data center capacity in France. Build Fast with AI
• [New] Organizations that invest in strong governance and proactive security posture management will be better equipped to navigate the complex challenges of AI security in 2026 and beyond. Concise AC
• [New] By 2027, 40% of enterprises will demote or decommission autonomous AI agents due to governance gaps identified only after production incidents occur. Gartner
• [New] If trends hold, there's a ~60% chance of self-improving AI systems by 2028, leading to recursive progress, massive productivity gains, and a capital-heavy, human-light machine economy. Radical Data Science
• [New] Future AI systems will instead rely on world models that learn abstract representations of physics, causality, and consequences, enabling planning, reasoning, and adaptation in real-world environments like robotics, healthcare, factories, and industrial systems. Radical Data Science
• [New] The AI infrastructure buildout continues to accelerate, with ~ $2.9 trillion in global CapEx expected through 2028. JD Supra
• [New] AI spending is now a capital-formation and infrastructure cycle as much as a software cycle: Global CapEx on data centers is forecast to reach $2.9 trillion through 2028. JD Supra
• [New] AI is already influencing growth at an economy-wide level: Barron's estimates AI investment drove nearly 60% of U.S. GDP growth in Q4 2025, while PwC expects AI to account for up to 15 percentage points to global GDP through 2035. JD Supra
• [New] The AI-Driven Valuation Explosion will go beyond Nvidia $5 Trillion. NextBigFuture.com
• [New] The Quantum-AI Convergence IBM publicly stated that 2026 will mark the first time a quantum computer outperforms a classical computer, unlocking breakthroughs in drug development, materials science, and financial optimization. DEV Community
• [New] What's Coming Next: The 2026 Roadmap Multi-Modal AI Becomes Standard Multimodal AI models will perceive and act in a world much more like humans, bridging language, vision, and action together. DEV Community
• [New] The increasing integration of artificial intelligence with public health has the potential to fundamentally reshape the landscape of global disease prevention and control. PubMed Central (PMC)
• [New] AI and information processing are expected to affect 86% of businesses by 2030. AIMultiple
• [New] Generative AI could raise labour productivity by approximately 15% when fully integrated across developed markets, leading to short-lived unemployment upticks during adoption periods. AIMultiple
• [New] In terms of job displacement risk, around 2.5% of U.S. employment would be at risk of displacement from AI efficiency gains, with a broader but still limited estimate of 6-7% displacement if AI is widely adopted. AIMultiple
• [New] Some AI experts predict the loss of half of entry-level white-collar jobs until 2030. AIMultiple

Last updated: 02 June 2026