Latest AI (Artificial Intelligence) News

đź“…January 15, 2026 at 1:00 AM
AI surges in drug discovery, scientific productivity, and enterprise adoption amid rising cyber risks, water demands, and trust initiatives for 2026.
1

AI's Water Demand Forecast to Surge Nearly 130% by 2050

Spending on AI is projected to approach $2 trillion in 2026, accelerating global infrastructure build-out and dramatically increasing water consumption.Source 1 By mid-century, this expansion could surge AI's water demand by nearly 130%, prompting calls for a water-secure AI economy.Source 1 New research highlights the need for sustainable strategies to manage this environmental impact.Source 1

2

DrugCLIP AI Maps Druggable Human Genome in Record Time

Developed by Tsinghua University researchers, DrugCLIP enables genome-wide virtual screening, evaluating over 10 trillion protein-compound pairs in under 24 hours using just eight GPUs.Source 2 The system identified over two million candidate molecules across nearly 10,000 human proteins, outperforming traditional methods even with incomplete data.Source 2 Published in Science, it promises to revolutionize drug discovery by accelerating target identification.Source 2

3

Cyber Threats Top Global Risks as AI Rises to Second in 2026 Outlook

Allianz Risk Barometer 2026 ranks cyber incidents as the top business risk for the fifth year, with AI climbing to second place amid rapid adoption uncertainties.Source 3 The two risks are interconnected, dominating concerns across industries and regions like the US, Europe, and Asia.Source 3 In countries like Australia and Brazil, AI even tops the list, followed by cyber.Source 3

4

AI Boosts Individual Scientists' Output but Narrows Collective Research Scope

Analysis of 41.3 million papers shows AI users publish 3 times more papers, get 5 times more citations, and lead earlier, yet overall scientific topics shrink by 4.63%.Source 4Source 9Source 12 Scientists gravitate to data-rich areas, creating 'lonely crowds' with less collaboration and overlapping research.Source 4Source 9 Experts urge AI evolution to expand data gathering for broader exploration.Source 4

5

Thomson Reuters Launches Trust in AI Alliance with Top Tech Leaders

On January 14, 2026, Thomson Reuters convened Anthropic, AWS, Google Cloud, and OpenAI in the Trust in AI Alliance to engineer trustworthy agentic AI systems.Source 5 Focused on safety, accountability, and transparency for high-stakes environments, the group will share insights publicly.Source 5 Initial sessions target principles for reliable AI in professional use.Source 5

6

2026 AI Predictions: Power Infrastructure to Drive Major Breakthroughs

AI evolution in 2026 will hinge on hardware innovations like redesigned chips, liquid cooling, and nuclear-backed facilities to meet massive energy needs.Source 6 Breakthroughs are expected from power plants rather than just code advancements.Source 6 Companies are investing heavily in infrastructure to sustain AI growth.Source 6

7

IBM Outlines 2026 Goals: Multiagent AI Orchestration and Governance

2026 marks an agentic AI pivot, with Gartner forecasting 40% of gen AI interactions via autonomous agents by 2028.Source 7 Leaders should embrace multiagent systems with specialized roles while building governance to manage errors and scale reliably.Source 7 Only 25% of organizations have piloted agents, expected to double by 2027.Source 7

8

2026 Shapes Up as Big Year for AI in Structural Proteomics

AI is powering next-generation breakthroughs in structural proteomics, building on computing advances for drug discovery successes.Source 8 The year promises continued innovation in protein structure prediction and analysis.Source 8 This follows recent high-impact applications in biotech.Source 8

9

Agent Harnesses to Unbundle AI Performance from Model Training in 2026

Predictions forecast non-model-training organizations topping AI benchmarks by end-2026 via agent harnesses that optimize inference without fine-tuning.Source 10 Poetiq's ARC-AGI-2 leadership exemplifies test-time reasoning gains at lower costs.Source 10 This could spawn a new infrastructure layer, attracting billions in funding.Source 10

10

Report: AI Speeds Tasks but Fails to Deliver Net Business Value

A global report finds AI accelerates work but much time is wasted correcting low-quality outputs, limiting real business gains.Source 11 Organizations report speed benefits offset by rewriting AI-generated content.Source 11 This highlights challenges in achieving productivity ROI.Source 11

11

AI Emerges as Top Risk in Multiple Countries per Allianz Report

While cyber leads globally, AI ranks as the top business risk in Australia, Brazil, and Colombia, with cyber second.Source 3 In the US, AI is fourth after cyber, interruption, and legislation.Source 3 The report underscores AI's transformative risk profile across sectors.Source 3

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