1.How AI give ability to think about its ‘thinking’
Metacognition—thinking about and regulating one’s own thinking—is presented as a missing but critical capability in today’s AI systems. Introducing this ability could allow generative AI to assess its confidence, recognize confusion or contradictions, and adapt its reasoning, reducing risks in sensitive areas like medicine, finance, and autonomous decision‑making. [Source: Fast Company]
2. Beyond the click: How brands can influence visibility in AI-generated answers
Online discovery is rapidly shifting toward AI‑generated answers that reduce the need for users to click through to websites, forcing brands to rethink visibility and success metrics. To stay relevant, companies must create structured, authoritative, and up‑to‑date content that AI systems can easily interpret and reuse, while learning to measure influence beyond traditional traffic and click‑based analytics. [Source: The Next Web]
3. PrDOOH 2.0: What is the future of programmatic digital out of home?
Programmatic digital out-of-home (prDOOH) is emerging as a major growth driver in advertising, powered by data, automation, and omni‑channel integration. As cookies phase out, DOOH’s reliance on first‑party and location data positions it well to attract premium budgets, improve ROI, and deliver more targeted, creative, and sustainable campaigns. [Source: The Drum]
4. Add to bot: how AI agents could reshape online retail
AI agents from platforms like OpenAI and Google are transforming online shopping by letting consumers browse, compare, and purchase products directly within chat interfaces, removing the need for apps or marketplaces. This shift could reduce fees and disrupt traditional ecommerce platforms, with rapid expansion expected beyond the US into regions like Southeast Asia. [Source: TechAsia]
5. Remixing the Marketing Mix for 2026 and Beyond
Earned media should lead the marketing mix because it builds trust and has a far stronger influence on brand consideration than paid or owned channels. Data shows that prioritizing earned media not only delivers credibility but also multiplies the impact of paid and owned efforts, making campaigns more effective in today’s complex marketing environment. [Source: AdWeek]
6. How Do You Compete In Agentic Commerce?
Agentic commerce shifts competition away from marketing tactics toward data accuracy, product truth, and machine‑readable trust, as AI agents increasingly decide what to buy on behalf of users. Brands that win are those with clean feeds, transparent pricing, and verifiable product information that AI systems can confidently recommend, while marketing‑first shortcuts lose effectiveness. [Source: Search Engine Journal]
7. Conversational AI will force a rethink of how search is monetized
Conversational AI is changing how people discover and evaluate information, pushing platforms like Google to rethink how search interactions are measured and monetized. While Google is likely to create new ad models for exploratory AI-driven searches, tools like ChatGPT are moving toward subscription-based productivity and workflow value rather than advertising. [Source: The Drum]
8. Is the Metaverse Making a Comeback in Agentic Commerce?
The metaverse didn’t fail—it shifted focus from humans to AI. Instead of consumer adoption, its real value is emerging as a spatial infrastructure where autonomous AI agents can train, negotiate, and transact at machine speed. This evolution positions the metaverse as the backbone of agent‑to‑agent commerce rather than a human‑centric virtual world. [Source: CMS Wire]
9. Are Indian advertisers rewriting the rules of programmatic outsourcing?
Indian advertisers are increasingly moving away from fully outsourced programmatic advertising toward hybrid models that keep strategy, data ownership, and measurement in-house while relying on agencies for execution and scale. This shift is driven by the need for greater transparency, regulatory compliance, and tighter linkage between media spends and business outcomes, rather than a loss of confidence in agencies. [Source: Exchange4Media]
10. What Is Prompt-Driven Analytics? A Practical Guide for CX Leaders
Prompt‑driven analytics is transforming customer experience by replacing static dashboards with real‑time, conversational insights that business users can access through natural‑language queries. Its success depends on clean, well‑governed data, enabling CX teams to act faster, measure new AI‑driven metrics, and make more informed decisions without waiting on traditional reports. [Source: CMS Wire]
