Gayathri Devi Jayan

AI adoption has moved beyond experimentation. Making AI work inside real organisations now requires navigating real-world constraints: messy data, legacy systems, and regulatory requirements. Many companies have invested heavily in tools and pilots, yet turning that effort into lasting business value remains difficult.  At AIDVICE, we’ve observed that the bottleneck isn’t the budget or the technology—it’s organisational readiness. Success depends on how clearly a company aligns its strategy,...

“Vibe coding” is the fastest way to build an app today. But the true competitive edge in 2026 is system depth. While Generative AI captures headlines, it is really an amplifier of a much larger foundation.  According to McKinsey , GenAI could add $4.4 trillion in annual value once fully adopted. But when one looks at the total AI value pie, broader AI such as analytics, predictive systems, and deep learning is expected to add far more: between $11 trillion and $17.7 trillion across the global...

A mid-career professional sits at their desk, watching an AI tool draft a 10-page report, write complex code, or design a marketing plan in seconds. That cold feeling hits the stomach: “Is my job gone?” The headlines certainly want you to think so. But experience teaches one to be skeptical of the doom-mongering.  The “AI will take your jobs” narrative feels familiar to anyone who has watched technology evolve over time. Similar fears surfaced when the Internet arrived, and again when the...