Vibe‑coding tools like Lovable promise “anyone can build software”. For marketers, that’s half‑true and dangerously incomplete. This piece unpacks the hype, the hidden risks, and a saner way to use AI builders without turning your team into an accidental SaaS vendor.
Vibe Coding for Marketers Needs Rules Read More »
OpenAI’s Codex and Prism campaigns quietly redefine AI marketing. They don’t sell bigger models; they sell a new doctrine of work, where agents reshape daily workflows, and “AI for everyone” gives way to AI for specific, messy realities like GST, UPI and WhatsApp support.
How OpenAI Just Raised the Bar for AI Marketing (Without Saying “AI‑Powered”) Read More »
xIf you want to understand the future of the internet in India, stop looking at silicon chips and server farms. Instead, look at two specific advertisements released this month. In the red corner, OpenAI’s “Kirana Store” film—a sentimental portrait of a small business owner facing existential crisis. In the blue corner, Google’s “Search Like Never Before” campaign—rapid-fire vertical videos answering daily friction points. On the surface, these are just commercials. But dig deeper, and you’ll see two tech giants pitching fundamentally different visions of the future. Google views the user as a “Seeker” navigating chaos. OpenAI views them as a “Creator” seeking agency. For Indian marketers, this distinction changes everything. This article breaks down the strategic divide, explores alternative AI models (Claude, Perplexity, Meta Llama), and provides a concrete 5-step playbook for navigating 2026 without falling into the vendor lock-in trap. The Librarian helps us survive. The Philosopher helps us transcend.
Anthropic’s Claude Code hit $1 billion in revenue in six months, not because it’s the best coding tool, but because it’s becoming the invisible workflow layer inside Slack and enterprise tools. For marketers, this is how AI infrastructure wins: through ecosystem lock‑in, not model superiority.
Perplexity’s partnership with Cristiano Ronaldo isn’t just an ad; it’s a strategic pivot from selling “tech” to selling “greatness.” This analysis breaks down how the campaign leverages celebrity trust to kill the “hallucination” narrative, signals the death of prompt engineering, and why this marks the end of the “Magic Box” era of AI marketing.
IBM’s UFC “Insights Engine” is pure marketing theatre: slick graphics, exultant broadcasters, and the word “AI” slathered everywhere. But strip away the hype and you’re looking at retrieval-augmented generation paired with text-to-SQL—a database search interface dressed in generative AI clothing. This isn’t breakthrough innovation; it’s rebranding infrastructure. The real problem: 95% of enterprise AI pilots fail to deliver business impact, yet marketers keep falling for the same hype cycle. As regulators tighten enforcement against AI washing and CFOs demand measurable ROI, brands must stop buying into vendor theatre and start demanding transparency. Marketers who act boldly, measure fiercely, and champion honest communication will write the playbook for 2025. The rest will fade into undifferentiated noise.
Anthropic’s Claude Sonnet 4.5 launch delivered something refreshingly different: demos that actually demonstrate rather than just promise. Through five strategic videos showcasing gaming strategy, real-time software creation, browser automation, document generation, and capability evolution, plus enterprise testimonials from GitHub Copilot, Canva, and TELUS reporting measurable ROI, they’ve redefined AI marketing maturity. This comprehensive analysis examines what worked brilliantly, what missed the mark, and how the industry can learn from Anthropic’s shift from promise-based to proof-based AI communication.
Anthropic’s Claude Sonnet 4.5: When AI Marketing Finally Gets Its Act Together Read More »