Global Scans · Artificial Intelligence · Weekly Summary

• [New] By 2030, AI and related trends are projected to displace 92 million jobs while creating 170 million - a net gain of about 78 million. Unico Connect
• [New] Generative AI could contribute $4.4 trillion to the economy based on selective uses and general uses (like helping write emails) that assist with total productivity. Global Market Insights Inc.
• [New] The SEC has identified AI-washing as a clear target: using AI buzzwords to make a business sound more advanced or lower-risk than it is. JD Supra
• [New] (Gartner 2026 CIO Survey) 40% of enterprise applications are projected to include task-specific AI agents by 2026, up from less than 5% in 2025. Unico Connect
• [New] (McKinsey, 2025) Only 17% of organizations have deployed AI agents to date, but more than 60% expect to within the next two years. Unico Connect
• [New] IT and software services are anticipated to dominate with a share of nearly 53.1% in 2026, as they are both creators and users of AI. Persistence Market Research
• [New] The healthcare segment is expected to remain in the second position in 2026, because AI directly improves outcomes and reduces workload. Persistence Market Research
• [New] Worldwide AI spending is forecast to reach roughly $2.5 trillion in 2026, up about 44% year over year - split across infrastructure, services, and software. Unico Connect
• [New] Singapore announces that it will train 40,000 technology professionals over the next three years under a major national effort to build an artificial intelligence-ready workforce. Center for Strategic and International Studies
• [New] Singapore mandates all higher education students to receive baseline artificial intelligence training from 2027. Center for Strategic and International Studies
• [New] Generative AI could drive a 7% (or $7 trillion) increase in global gross domestic product and lift productivity growth by 1.5 percentage points over ten years. Amazon Web Services, Inc.
• [New] The rapid commercialization of 5G networks, with global 5G subscriptions expected to exceed five billion by 2030, is enabling real-time on-device AI processing at scale. Persistence Market Research
• [New] Goldman Sachs projects annual AI infrastructure spending will hit $800 B by the end of 2026. / USA AI-Weekly
• [New] R&D-driven advancements like AI are only going to drive a greater productivity advantage for the US going forward. RiverFront Investment Group
• [New] 86% of employers expect AI and information processing technologies to transform their business by 2030, and 92% are more likely to hire a candidate with a GenAI micro-credential than one without it. caa | Capital Analytics Associates
• [New] 40% of enterprise applications will feature task-specific AI agents by the end of 2026, up from less than 5% in 2025, and that agentic AI could drive around 30% of enterprise application software revenue, more than $450 billion, by 2035. Institutional Business Press
• [New] Broadcom's $73 billion AI-specific backlog gives credibility to management's path toward more than $100 billion in AI chip revenue in 2027. Bingx Exchange
• [New] The executive order appropriately constructs a voluntary and phased approach to introducing and evaluating frontier AI security models that would prioritize strengthening critical infrastructure and proactively remediating vulnerabilities. Federal News Network
• [New] Manufacturers have access to technologies such as AI-based threat fine-tuning, access control interaction modeling, and secure audit logging, and Europe is at the forefront of the digitalization of safe and efficient security operations. Dimension Market Research
• [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
• AI-accelerated chip revenue is projected to hit $45 billion by year-end, with Nvidia, AMD, and Samsung accounting for 68% of the total. LLODO BLOG
• 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
• 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

Last updated: 14 June 2026