Global Scans · Artificial Intelligence · Weekly Summary

• [New] In 2026, while companies work to integrate AI into their systems, they will increasingly face issues such as system reliability, data quality, integration challenges, and a shortage of qualified talent. Turkiye Today
• [New] AI-enabled edge devices can reduce false alarm rates by up to 92% by distinguishing between genuine threats and environmental anomalies such as shadows or wildlife movement. / USA Market Data Forecast
• [New] Almost three-quarters of CEOs are now their organization's main decision-maker on AI strategy, and companies expect to double AI spending in 2026, up from an average of 0.8% of revenue to about 1.7%. https://www.usaii.org/ai-insights/ai-leadership-trends-
• [New] Apple: While the Vision Pro is getting performance updates, reports suggest Apple is shifting strategy to develop lighter, AI/AR glasses suitable for everyday wear, possibly launching in 2026 or 2027 [2]. Shenzhen MSHILOR Technology Co.,Ltd
• [New] AI Integration is Key: The success of smart glasses in 2026 is expected to be driven more by contextual AI assistance-making everyday life easier with subtle usefulness-than by flashy AR features alone. Shenzhen MSHILOR Technology Co.,Ltd
• [New] By the end of 2026, AI technology will begin to make significant impacts on M&A transactions, enhancing due diligence processes and streamlining deal timelines. JD Supra
• [New] In 2026, organizations will adopt top-down AI programs via centralized AI studios to integrate reusable components and agentic workflows, allowing non-technical users to deploy AI without traditional coding. Grokipedia
• [New] AI-fueled processes in development lifecycles, including automated deployment, will enable faster iterations and reduce overall cycle times by allowing broader team involvement in technical tasks. Grokipedia
• [New] Intel CEO Pat Gelsinger announces AI PCs will be the standard by 2026 using Core Ultra Series 3 to run 8 billion parameter models for local security. Technetbook | The Tech Experts
• [New] META has decided to spend an enormous $600 billion in the United States for AI-powered data center infrastructure developments by 2028. Nasdaq
• [New] By 2026, AI technologies will emphasize efficiency through hardware-aware models and domain-specific systems, enabling broader business adoption without deep technical expertise. Grokipedia
• [New] As global markets navigate the complexities of AI disruption and shifting economic indicators, investors are keenly observing the performance of value stocks, which have consistently outperformed their growth counterparts in recent weeks. Yahoo Finance
• [New] Prediction 2: AI Literacy Transitions from a Specialist Skill Set to a Core Organizational Competency By 2026, enterprises will realize that sustainable AI adoption requires more than just technical teams building models. TDWI
• [New] Prediction 1: Data Readiness Will Be the Main Bottleneck and the Most Critical Area for Investment in Enterprise AI In 2026, organizations will realize that the absolute limit on AI value is no longer model sophistication but data readiness. TDWI
• [New] Prediction 2: Data Foundations and AI Governance Become Non-Negotiable The second major shift in 2026 will be the convergence of enterprise data modernization with serious AI governance. TDWI
• [New] Prediction 1: Agentic AI Matures 2026 will mark the point where agentic AI starts to move from experimentation to practical deployment. TDWI
• [New] By 2026, artificial intelligence will have moved decisively from experimentation to enterprise backbone. SISGAIN
• [New] As artificial intelligence becomes embedded in core enterprise systems, success in 2026 will depend less on experimentation and more on disciplined execution. SISGAIN
• [New] Industrial AI is where the next chapter of global growth will be written, as leaders align technology, capital and skills to reimagine how industry creates value, jobs and resilience. Roland Berger
• [New] Morgan Stanley foresees a $1.5 trillion financing gap for the AI buildout that will likely be filled in large part by credit as companies can no longer self-fund their capex. CNBC
• [New] Tesla said it expects capital expenditures to be in excess of $20 billion in 2026, driven by AI initiatives and expanded manufacturing and infrastructure. Benzinga
• [New] Energy requirements for AI data centers are growing rapidly - global data center electricity consumption is projected to double between 2022 and 2026. Futurum

Last updated: 22 February 2026