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] Semi-autonomous systems make up 42% (USD 5.3 billion), used for combined human control and AI assistance, growing at 10.9% CAGR to USD 14.1 billion by 2032. openpr
• [New] The top seven technology companies are now expected to invest more than $500 billion next year to build out AI infrastructure, underscoring the intensity of the AI arms race. Wealth Management Midwest
• [New] Europe's AI Act will create unified regulations for healthcare AI across European Union countries, making it easier for companies to deploy tools internationally. ThePromptBuddy
• [New] AI is projected to add $15.7 trillion to the global economy by 2030. ""
• [New] Four in five CEOs plan to integrate AI tools directly into their core decision-making processes by the end of 2025. Future Invest News
• [New] AI will displace 85 million jobs globally in 2025, with 2.4 million jobs in the U.S. already affected by AI-driven automation from 2020 through 2024. ABC 12 WJRT-TV
• [New] The proliferation of AI is driving the rise of AI-enabled PCs, with nearly 60% of PCs sold by 2025 expected to include built-in AI accelerators or on-device AI models to manage real-time data processing, signifying a shift towards more pervasive edge AI. FinancialContent
• [New] The proliferation of AI, particularly generative AI, high-performance computing (HPC), and edge computing, is fueling demand for specialized hardware, including AI accelerators, advanced logic chips, and high-bandwidth memory, with HBM revenue alone projected to increase by up to 70% in 2025. FinancialContent
• [New] By 2030, AI will power fully cooperative mobility networks where vehicles, roads, and cities operate as one predictive ecosystem. Tamana Beauty Clinic
• [New] By 2030, AI-driven mobility will evolve into a citywide nervous system that connects public transportation, private vehicles, drones, and pedestrians in one intelligent network. Tamana Beauty Clinic
• [New] Competition is set to intensify, with players like Qualcomm preparing to ship AI chip computing clusters in 2026, and Advanced Micro Devices launching new GPUs, while Chinese chipmakers aim to triple AI chip output to reduce reliance on foreign technology. FinancialContent
• [New] Multiple dimensions of AI that stakeholders believe require regulation, spanning from immediate harms to long-term risks, and from technical safeguards to fundamental rights protection. Digital Watch Observatory
• [New] By 2030, China aims to be at the epicenter of global AI innovations, development, and investments. World and New World Journal
• [New] Nvidia is expected to remain a dominant force due to its comprehensive ecosystem, but there will be a broadening of AI applications across various sectors beyond data centers, including consumer electronics, automotive, and healthcare. FinancialContent
• [New] The adoption of AI could raise productivity growth by 1.1% annually over the next year. PLANT
• Looking towards 2026, overall global AI spending is forecast to top $2 trillion, led in large part by AI being integrated into products such as smartphones and PCs, as well as infrastructure. Gartner
• Europe is on the brink of a defining moment in AI regulation that could set a precedent for the rest of the globe. The Conference Board
• By 2030, developers will work as orchestrators of AI-driven systems, blending human creativity and judgement with machine efficiency. Software House
• In a world where artificial intelligence is leaping forward - growing at a CAGR of almost 36% from 2024 to 2030 - questions about governance and ethics with the use of AI are surfacing. Splunk
• Regulated firms could save as much as $183 billion USD a year in compliance costs by implementing AI-driven systems, while global economies could recover more than $3.3 trillion USD annually by reducing illicit flows. Financial IT
• Energy and AI are the twin engines that have the potential to turbocharge socioeconomic growth, but energy intensive data centers are competing for energy alongside multiple demand drivers in an increasingly complex world. The National
• Machines may surpass human performance in all economically valuable tasks by around 2047, contingent on advances in compute efficiency, algorithmic breakthroughs, and autonomous learning. AIMultiple

Last updated: 11 November 2025