Global Scans · Artificial Intelligence · Weekly Summary

• [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
• [New] In 2026, the greatest AI risk will come from rapid adoption outpacing governance. ConnectWise
• [New] By 2026, 75% of businesses will leverage generative AI to generate synthetic customer data. Bizclik Media Ltd
• [New] Major cloud companies and OpenAI are making historic investments in AI infrastructure, more than $1.6 trillion between 2025 and 2028. Funds Society
• [New] In 2026, leaders will no longer treat AI as an experiment - it will become how work happens, moving from isolated tools to scalable platforms and ecosystems as frontier models proliferate. The Islip Bulletin
• [New] AI could generate $34 billion in efficiency gains for the real estate industry by 2030, primarily by automating tasks and reducing on-site staffing costs. Ainvest
• [New] By 2030, AI will contribute $15.7 trillion to the global economy, yet most organizations remain unprepared for the transformation already underway. Horton International | We can help you achieve your goa
• [New] Three Memorandums of Understanding signed with the Singapore Economic Development Board during the Singapore Airshow 2026 will strengthen Thales' capabilities in AI, cloud, edge computing, data engineering and manufacturing in Singapore. French Chamber of Commerce in Singapore
• [New] The WEF 2026 Report highlights 44% of workers' skills will be disrupted by AI, making AI training and AI certification an important consideration to stay relevant. https://www.usaii.org/ai-insights/top-emerging-technolo
• [New] In 2026, AI capabilities will significantly enhance remote patient monitoring and virtual care, improving clinical decision support and enabling earlier intervention. Talencio
• [New] A planned $600 billion artificial intelligence spending splurge by big tech firms in 2026 is - adding to investor unease as they assess the implications for profitability as well as a potential existential threat to software firms. Economic Times
• [New] While Nvidia and Microsoft saw gains, data analytics firms like Thomson Reuters and RELX faced significant selling pressure due to existential threats from AI models. Economic Times

Last updated: 15 February 2026