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HIGHLIGHTS
Top AI statements at Davos 2026 A LinkedIn Pulse brief compiles selected AI statements from Davos 2026 by world leaders and other prominent speakers. The compilation maps themes and differences in how AI is framed, including governance and economic impact. It captures the language that shapes public expectations and regulatory debate. LinkedIn Pulse
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McKinsey pilots AI assistant for recruiting McKinsey pilots an AI assistant to support recruiting activities. The pilot applies generative tools to internal talent operations with a focus on streamlining steps that are typically time intensive. The initiative reflects broader adoption of AI in core professional services workflows beyond client delivery. Financial Times
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Boston Dynamics and Google DeepMind form new AI partnership Boston Dynamics and Google DeepMind form a research partnership focused on advancing AI for robotics, with the goal of improving generalization and autonomy in real world environments. The collaboration applies frontier AI research to embodied systems that operate outside controlled settings. It reflects continued convergence between foundational model development and physical automation. Boston Dynamics
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MIT 3D printable aluminium could replace titanium Using AI, MIT researchers develop a 3D printable aluminium material that approaches titanium level performance while retaining aluminium’s cost and weight advantages. The work suggests additive manufacturing could expand into applications previously limited to more expensive materials. It points to potential shifts in design and sourcing decisions in advanced manufacturing. Eureka Magazine
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OTHER NEWS
Mastercard launches Agent Suite to ready enterprises for a new era Mastercard launches Agent Suite, positioning it as a set of capabilities to support agent based commerce and AI mediated customer journeys. Mastercard
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Community first AI infrastructure Microsoft outlines a community first approach to scaling AI infrastructure, linking data center expansion to energy, permitting, and local engagement considerations. Microsoft
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No AI bubble Nouriel Roubini argues the current AI investment cycle is not a bubble and points to productivity and revenue fundamentals that continue to support capital inflows. Fortune
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HIGHLIGHTS
Graph Transformers Graph transformers extend attention-based architectures to graph structured data, enabling learning over networks, molecular structures, and knowledge graphs. The approach adapts transformer mechanisms to problems where relationships, rather than sequences, define structure. It opens a path for applying modern representation learning to a wider class of enterprise and scientific data. Medium
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AI in drug discovery A Science paper introduces DrugCLIP, a contrastive learning method that learns representations from 3D molecular structure data to improve virtual screening. The approach reports stronger retrieval and screening performance compared with prior techniques. It reinforces the role of representation learning in scaling early stage discovery. Science
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PhD outputs shift toward AI built products An academic practice highlighted in a LinkedIn post allows PhD students to graduate with AI built digital products alongside traditional research outputs. The model aligns doctoral evaluation with deployable software artifacts. It reflects changing expectations for applied AI capability in research training. LinkedIn
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Tomaso Poggio on principles of intelligence and learning In a Brain Inspired episode, Tomaso Poggio argues that modern AI advances largely through engineering ahead of a unifying theory, comparing the moment to early electricity before Maxwell’s equations. YouTube
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OTHER NEWS
What’s next for AI in 2026 MIT Technology Review outlines themes expected to shape AI development and deployment in 2026, including agents, regulation, and productization constraints. MIT Technology Review
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The adolescence of technology Dario Amodei describes an adolescence phase of AI where capability growth outpaces institutional adaptation and safety practices. Dario Amodei
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Geopolitics in the age of artificial intelligence Foreign Affairs examines how AI reshapes geopolitical competition through industrial policy, standards, and technology security. Foreign Affairs
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When AI builds AI CSET analyzes how AI systems increasingly contribute to building other AI systems, with implications for research productivity and governance. CSET Georgetown
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AI and scientific discovery A Nature paper examines how AI affects research processes and outcomes across scientific disciplines. Nature
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HIGHLIGHTS
History of AI Theodoros Evgeniou shares a post, situating current AI developments within the longer history of AI research and engineering. The framing connects recent progress to earlier waves of ideas and methods. It supports a shared reference for current debates. LinkedIn
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Board and executive AI literacy reading list Theodoros Evgeniou shares a curated set of talks, podcasts, and readings used as pre and post materials for board and executive audiences. The selection spans governance, geopolitics, the science of intelligence, and enterprise deployment examples. Links to all items are provided in the post comments. LinkedIn
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