Daily AI Agent News - Last 7 Days
AI Agents News - January 28, 2026
Davos 2026: AI Goes Mainstream in Business At the World Economic Forum in Davos, 200+ tech leaders confirmed AI is now embedded across industries. Banks are using AI for coding and analytics, while startups report rapid scaling. Some experts predict artificial general intelligence (AGI) may arrive sooner than expected.
Rezolve.ai Launches Chat-Native IT Support Rezolve.ai unveiled AI that lives in Microsoft Teams and Slack, automatically resolving 60-80% of IT tickets. Black Angus Steakhouse cut after-hours IT calls from 90% to just 10% using this technology. Employees get help instantly where they already work—no more portal visits needed.
Quantum Computing Enters Enterprise D-Wave announced a $10 million, two-year enterprise agreement with a Fortune 100 company, proving quantum computing now solves real business problems.
Why This Matters: AI agents are shifting from experimental to production-ready. If your company isn't automating customer or employee support, competitors will. The technology now reliably predicts what users need before they ask.
Microsoft launches Maia 200, a new AI chip designed to make AI cheaper and faster. The chip cuts token generation costs by 30% and is already running in US data centers. This helps companies like Microsoft 365 Copilot run AI tools without breaking the bank.
C.H. Robinson, a major shipping company, deployed AI agents that cut missed pickups by 42%. The agents handle over 100 calls at once and save the company 350+ hours of manual work daily. This means your freight gets delivered faster and more reliably.
Anthropic added new features to Claude, including a tool called Cowork that lets the AI read and modify files in specific folders. This makes Claude more useful for real work tasks.
Scientists are using AI agents to discover better battery materials faster. These agents test combinations that would take humans months to try, speeding up the path to safer, longer-lasting batteries.
The big takeaway: AI agents are moving from experiments to real business results. Companies are cutting costs, saving time, and solving problems that once required entire teams. If you're not exploring AI agents now, your competitors are.
AI Agents Are Becoming Your Biggest Cybersecurity Risk
Experian just released its 2026 data breach forecast, and the findings are critical: AI agents could soon become the leading cause of data breaches, replacing human error. Hackers can now inject their own AI agents to disrupt your systems, steal data at unprecedented speeds, and launch ransomware attacks. This means your security team needs to treat AI agents as a new threat surface, not just a productivity tool.
UK Boosts AI Research Power Sixfold
The British government invested £36 million to make Cambridge's DAWN supercomputer six times more powerful by spring 2026. UK researchers and startups now get free access to cutting-edge AMD MI355X chips—previously available only to tech giants. If you're building AI in the UK, this is your moment to access world-class computing resources.
Chinese AI Models Capture 15% Global Market
DeepSeek and Alibaba's Qwen have surged to roughly 15% global AI market share, up from 1% a year ago. Qwen hit 700 million downloads on Hugging Face—the world's most-used open-source AI system. This shift matters: open-source alternatives are now viable, cost-effective options for enterprises evaluating AI vendors.
AI Agents Reshape Business Strategy
Davos leaders declare "jobs, jobs, jobs" the AI focus for 2026, but warn of risks. Industry experts highlight that autonomous agents will handle consumer shopping requests, potentially disrupting small businesses unless they adapt quickly.
Singapore commits $785 million to public AI research through 2030, betting big on maintaining global AI competitiveness. This investment signals governments are moving beyond hype to serious infrastructure.
Key Takeaway for You: If you run a business or manage customers, prepare now. AI agents are already shopping for people—your products need to be discoverable to AI, not just humans. Brands that optimize for "AI visibility" in 2026 will capture market share before competitors notice the shift.
AI Security Threat Shifts to Agency Hijacking
Agentic AI security just entered a new danger zone. The biggest threat is no longer tricking AI systems with clever prompts—it's now "agency hijacking," where attackers manipulate an agent's tools, memory, or decision-making directly. This matters if your company uses AI agents to handle customer service, hiring, or security tasks. The fix? Tighter controls on what data your AI agents can access and when they escalate to humans.
Chip Shortage Impacts AI Agent Deployment
Companies racing to build AI agents face another headwind: TSMC warned Nvidia of capacity limits, and Micron predicts memory shortages until after 2026. If your organization planned AI agent rollouts this year, expect slower timelines and higher costs for the hardware that powers them.
Bottom Line: Protect your AI agents from hijacking attacks now. Monitor third-party integrations closely, and prepare budgets for premium pricing on AI chips through mid-2026. Companies that secure their agents early and lock in chip supply will pull ahead.
AI Agents Still Struggle With Real Work Tasks
A major new benchmark called Apex-Agents tested leading AI models on actual white-collar jobs in banking, consulting, and law. Results are sobering: the best performer Google's Gemini 3 Flash only achieved 24% success rate. The core problem? AI agents can't handle information scattered across multiple tools like Slack and Google Drive the way humans do. This means workplace automation is moving slower than predicted.
Enterprise Leaders Prioritize Safety Over Speed
A Dynatrace report surveying 919 senior leaders reveals why: 52% cite security and compliance concerns as the main barrier to deploying AI agents. Rather than rushing to automate, 69% of organizations still have humans verify AI decisions. The takeaway—reliability and governance matter more than raw capability right now.
New Testing Tool Makes AI More Trustworthy
Researchers released Detect, a framework that systematically tests deep learning models by manipulating features in their latent space. Unlike standard accuracy tests, it reveals hidden bugs and vulnerabilities, helping teams understand exactly how AI systems make decisions. This tool is crucial as enterprises scale agents responsibly.
Bottom Line: Don't assume AI agents are workplace-ready. Focus first on governance, testing, and human oversight before deploying at scale.
AI Agents News Digest - January 22, 2026
Nvidia CEO Declares AI as Largest Infrastructure Boom Ever
Nvidia's Jensen Huang announced that AI is triggering the largest infrastructure build-out in history, predicting trillions in future investment. Key breakthroughs include autonomous agents, advanced reasoning models, and physical AI. Huang dismissed bubble concerns, citing record GPU demand and urged governments to treat AI infrastructure as vital as roads and power grids. *Actionable*: Infrastructure companies and hardware makers are positioned for major growth.
CODIT Launches ChatCODIT for Global Regulatory Intelligence
CODIT launched ChatCODIT, an AI policy agent providing structured regulatory analysis across the U.S., South Korea, and Japan. The tool delivers actionable checklists for regulatory compliance. Expansion to Southeast Asia and Europe is planned. *Actionable*: Legal and compliance teams can now use AI for faster policy research.
Tech Leaders Warn on AI Regulation at Davos
Salesforce CEO Marc Benioff warned about AI safety concerns at Davos, citing reports of chatbots encouraging self-harm. While tech executives champion AI infrastructure investment, governance and regulation remain critical gaps. *Actionable*: Organizations must implement robust AI safety controls alongside deployment.
PayPal Explores AI Shopping Protocol
PayPal is advancing AI-driven discovery surfaces with new integration standards, addressing trust and payment security concerns.