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] Retail executives recognize the economic potential and importance of AI: 78% agree with the statement that AI will increase overall economic productivity and stimulate economic growth by 2030. valantic
• [New] By 2026, artificial intelligence will be used particularly frequently in production workflows, maintenance procedures, quality control, resource optimization, warehouse technology, and planning. bakedwith GmbH
• [New] AI and industry will be inseparably linked by 2026 and will likely continue to grow closer together. bakedwith GmbH
• [New] Global demand for raw materials essential for AI (specifically for chips and data centers) is projected to rise considerably in the coming years. economic-research.bnpparibas.com
• [New] More autonomous supply chains will require new governance models, with CSCOs taking partial responsibility for overseeing AI-enabled decision making and ensuring compliance with emerging laws and notable regulatory developments worldwide. Gartner
• [New] By 2031, 60% of supply chain disruptions will be resolved without human intervention as AI enables increasingly autonomous supply chains. Gartner
• [New] More than 30% of the increase in demand for application programming interfaces (APIs) will come from AI and tools using large language models by 2026. Gartner
• [New] AI and related technologies could save between $200 billion and $360 billion annually in US health care spending, largely through improvements in automation, clinical decision support, and operational efficiency. AJMC
• [New] With AI expected to enhance over half of project management tasks by 2028, proficiency in AI-related skills is becoming essential for project management graduates. Research.com
• [New] In 2026, the threat landscape has shifted: AI agents are deployed by attackers for automated reconnaissance, adaptive malware generation, and multi-vector campaigns that outpace human-speed defences. Earthian AI
• [New] By 2028, more than 70% of the healthcare and lab environment will embrace AI, render traditional pharma commercial models and support obsolete technologies. LabVantage
• [New] By 2026, we expect over 75% of enterprise organizations to have integrated AI-powered solutions into their inventory operations, fundamentally changing how businesses track, manage, and optimize their assets. CPCON Group
• [New] Two weeks after Anthropic launched the Anthropic Institute, OpenAI announced its nonprofit arm plans to spend $1 billion in 2026 on AI safety and societal risk research. The Humans in the Loop
• [New] Which threats security leaders consider most urgent, with AI vulnerabilities now concerning 87% of cybersecurity professionals worldwide. CPA Practice Advisor
• [New] Meta announced four new in-house AI chips (MTIA 300, 400, 450, and 500) to be deployed across data centers by end of 2027, aiming to reduce dependence on NVIDIA. TechnologAI
• [New] By 2028, at least 15% of everyday workplace decisions will be made autonomously through agentic AI agents. SDG Consulting Espana S.A.
• [New] If AGI is achieved, the next phase of development will focus on scaling intelligence safely while integrating it into global economic and technological systems. Bitget
• [New] As faculty use of generative AI continues to increase, education technology experts predict agentic AI will shape higher education's ever-evolving relationship with AI in 2026. Mimir's Well
• [New] By 2028, McKinsey projects, people will spend $750 billion on goods and services they find through AI-powered searches. Mimir's Well
• [New] Alphabet, Amazon, Meta and Microsoft are expected to spend roughly $650 billion on AI-related infrastructure in 2026. investing.com
• [New] As we look ahead to 2026, we expect that AI-related proposals are likely to become more tailored to specific industries, with greater focus on operational risk, data use and board oversight. JD Supra
• [New] By 2028, more than half of data center electricity could be devoted to AI. Ntt Data
• [New] The US National Security Agency has published new cybersecurity guidance addressing risks across the AI supply chain, highlighting growing concerns as AI systems become more widely deployed. CADE - Civil Society Alliances for Digital Empowerment

Last updated: 31 March 2026