1

Apple Hires Ex-Google Executive to Lead AI Marketing

Apple poached Lilian Rincon, who spent nearly a decade at Google running shopping and assistant products, to serve as VP of AI product marketing. The hire signals Apple is finally getting serious about marketing its AI capabilities — and fixing Siri. When Apple brings in external talent for marketing leadership, it's usually because they know they're behind.

Read on Reuters →
2

HBR: To Scale AI Agents, Think of Them Like Team Members

Harvard Business Review makes the case that deploying AI agents isn't a software installation — it's a change to how work gets done. The key insight: AI agents that reason, plan, and take actions across enterprise systems require the same onboarding, training, and oversight as human employees. Leaders should read this for framing AI agent rollouts internally.

Read on HBR →
3

Salesforce Pushes "Agentic Enterprise" at Manila World Tour

At Agentforce World Tour Manila, Salesforce CTO Gavin Barfield urged enterprises to "not just see AI as a bolt-on" but to rebuild it across entire workflows. The company is shifting how it measures AI performance — from tokens generated to "agentic work units" focused on completed actions. Salesforce also claims $100M in annualized savings from its own internal AI support automation.

Read on Manila Times →
4

Gartner: 40% of Enterprise Apps Will Have AI Agents by 2026

Gartner now predicts 40% of enterprise applications will feature task-specific AI agents — up from less than 5% in 2025. That's an 8x jump in one year. The infrastructure to coordinate these agents at scale is becoming what analysts call an "Agentic Operating System." If your product doesn't have an agent story yet, the clock is ticking.

Read on Markovate →
5

All-in-One Marketing Platforms: The New Standard for Global Campaigns

Robotic Marketer's new guide explains why fragmented MarTech stacks can't handle global campaign orchestration. The answer: integrated platforms that combine strategy, execution, analytics, and localization in one control plane. As AI agents proliferate across tools, the "single source of truth" matters more than ever for distributed teams.

Read on Robotic Marketer →

💡 My Take

Read this one: The HBR piece on treating AI agents like team members. It reframes deployment from "install software" to "onboard new colleagues" — and that's exactly how organizations should be thinking about AI agents entering their workflows. The companies that win will treat agent oversight as a core competency, not an IT project.

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