1. IBM X-Force: AI Accelerates the Attacker Lifecycle

IBM released its 2026 X-Force Threat Intelligence Index today, revealing a 44% surge in attacks targeting public-facing applications.

• The AI Advantage: Cybercriminals are using agentic AI to automate reconnaissance and vulnerability discovery, allowing them to bypass traditional security filters and move from scanning to impact in record time.

• The Identity Crisis: In 2025 alone, over 300,000 ChatGPT credentials were leaked, signaling that AI platforms are now a primary target for credential theft, much like core enterprise SaaS tools.

• Proactive Defense: IBM experts are urging businesses to shift to "agentic-powered" threat detection to counter these high-speed, adaptive threats.

2. "Mimicking Finance": AI Predicts 71% of Fund Manager Decisions

A provocative new study from Harvard Business School published today indicates that AI has cracked the code of active fund management.

• The Algorithm: Researchers trained a model on data from 1990 to 2023, discovering it could accurately predict 71% of a mutual fund manager's trading decisions.

• The Skill Gap: The study suggests that professional trading habits often follow recognizable patterns, and the only "unpredictable" decisions left are the ones actually associated with outperforming the market.

• The Market Shift: This research further challenges the fees charged for active management, as AI proves it can largely mimic the behavior of human managers.

3. The 6% Implementation Gap in Marketing

Despite the global hype, a new report from Supermetrics today reveals a significant "ambition gap" in the marketing world.

• The Data Bottleneck: While 80% of marketers feel immense pressure from leadership to adopt AI, only 6% have fully integrated it into their actual daily workflows.

• The Trust Issue: Only 18% of marketers reported high trust in AI outputs, with many citing a lack of clean, structured data as the primary reason for stalled projects.

4. Tech Spotlight: Nvidia Earnings and the "Inference Era"

Wall Street is holding its breath as Nvidia prepares to report its Q4 earnings after the bell today.

• Expectations: Analysts are looking for record revenue of $65.6 billion, but the real focus is on the shift from "Training" to "Inference"—the actual deployment of AI models in the real world.

• Market Test: This report is being treated as a sentiment test for the entire AI trade. Investors are watching for signs that customers are actually utilizing the capacity they’ve installed rather than just stockpiling chips.

In honor of today's shift toward Agentic Workflows (and the launch of the India Summit), today’s prompt focuses on creating a high-level system rather than just a simple output.

Prompt of the day: The "Agentic Architect"

The Prompt:

"Act as a professional Chief AI Architect. I want to build a 'Cyber-Hygiene Agent' system to protect my small business digital footprint. Please structure a framework that includes the following points:

• Vulnerability Scanning Module: Instructions for the agent to check my public-facing business website for common misconfigurations once per week.

• Credential Monitoring Module: Instructions for the agent to search known 'leaked credential' databases for any email addresses associated with my domain [insert domain].

• Employee Training Module: Instructions for the agent to generate a monthly '5-minute security tip' email for my staff based on the latest AI-driven phishing trends.

• Incident Response Protocol: A step-by-step checklist the agent must provide to me immediately if it detects a high-risk security gap or a credential leak.

For each point, provide a clear set of tasks that an AI agent should follow to maintain a proactive and professional security posture."