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Our Scans · (ZY.4.04) Cognitive Science · Weekly Summary


  • [New] For 2026, we expect continued momentum, especially as AI becomes more context-aware and further integrated across mission-critical verticals such as venues and smart cities. asmag.com
  • [New] By 2026, agentic AI - systems that act, decide and adapt autonomously - will move from pilots to the core of how organizations operate and serve customers. Inside Telecom
  • [New] The next five years (2025-2030) are expected to bring unprecedented advancements, with AI agents potentially managing entire business functions with minimal human oversight, as predicted by AI Consultant Insights. Mixflow.AI
  • [New] By 2027, the agentic analytics landscape is expected to feature fully autonomous, orchestrated ecosystems of collaborative AI agents operating seamlessly across departments, technology platforms, and enterprise workflows. GoodData
  • [New] Three out of four leaders reported positive returns on AI investments, and 88% plan to increase spending in 2026. Knowledge@Wharton
  • [New] Artificial intelligence will fundamentally reshape global economies. US Regulatory Intelligence
  • [New] If current AI uses were expanded proportionally to efficiency gains, an estimated 2.5% of US employment could be at risk of related job loss. grabind.com
  • [New] The potential for a new, powerful phase of growth is unequivocally present-AI for intellectual expansion and problem-solving, and Blockchain for establishing global trust and democratic governance. grabind.com
  • [New] In 2025, Americans face a complex landscape of tech-related risks beyond the overhyped AI concerns, including cybercrime, smart device vulnerabilities, data breaches, and infrastructure attacks. Global Mirror Official
  • [New] The world is learning - sometimes the hard way - that the power of AI is matched only by the scale of its potential risks. Grand Pinnacle Tribune
  • [New] Artificial intelligence, especially when wielded by North Korean hacking groups, is a more immediate and dangerous threat to the cryptocurrency ecosystem than the much-hyped quantum computing. Grand Pinnacle Tribune
  • [New] Tech stocks have particularly been volatile in recent trading because of concerns that there is a 'Mag 7' concentration in the S&P 500 and related fears of an AI bubble. Insider Monkey
  • [New] While AI often dominates headlines, many of the most pressing tech risks in the US stem from traditional cybersecurity vulnerabilities. Global Mirror Official
  • [New] AI improvements in productivity will require sweeping structural change. US Regulatory Intelligence
  • [New] Meta, Google, and Microsoft all have 2030 carbon-negative or net-zero commitments, but they are also racing to build the biggest AI models that require the most energy-hungry infrastructure. The Tech Buzz
  • [New] AI is projected to contribute trillions to the global economy, potentially adding $2.6 trillion to $4.4 trillion annually to global GDP by 2030, driven by productivity gains, cost reductions, and new revenue streams. The Chronicle-Journal
  • [New] The geopolitical race for AI dominance, particularly in building essential infrastructure, will continue to shape global dynamics. The Chronicle-Journal
  • [New] Goldman Sachs anticipates an uneven transfer of wealth rather than a complete financial collapse, with smaller, struggling AI startups being consolidated by larger, cash-rich tech giants. The Chronicle-Journal
  • [New] In 2026, the hyperscalers - including Alphabet, Amazon, Meta, Microsoft, and Oracle - are expected to boost AI-related capital expenditures to $520 billion - a 30% increase from 2025. Ascendus Financial Advisors
  • [New] By 2035, AI will be the brains behind traffic management, shifting from reactive signal timing to predictive, self-optimising networks. ITS International
  • [New] Organizations must take advantage of innovative technology priorities in 2026, including AI and machine learning - 62% of respondents identified AI and machine learning as top technology priorities for 2026. ISACA
  • [New] 40% of enterprise applications will use task-specific AI agents by the end of 2026, a massive jump from less than 5% in 2025. Avenga

Last updated: 21 November 2025



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