Think. Automate. Transform.

As 2025 approaches its conclusion, I thought to share on where AI stands today and what must be done in 2026 to transform it into a trusted business partner rather than a source of fear. This year has been a decisive turning point in the evolution of artificial intelligence. What once felt like experimental promise has now become an indispensable force across industries. No longer limited to pilots or niche use cases, AI has matured into a mainstream driver of productivity, creativity, and innovation. From healthcare diagnostics to financial forecasting, supply chain optimization to personalized education, its impact is both visible and undeniable. Yet, with this rapid growth has come a parallel wave of anxiety. Employees worry about displacement, customers question the ethics of data use, and societies grapple with the implications of machines making decisions once reserved for humans. Fear, often fueled by misinformation or lack of transparency, has become a barrier to adoption. Th...

It’s late afternoon in Gurugram (India), and a senior project manager glances at her dashboard expecting the usual metrics - only to discover her reporting structure has collapsed into a flatter model, her team has doubled, and an AI assistant has already summarized the client call she was preparing for. Meanwhile, a colleague in Chennai (India) receives a curt invite titled “transition planning,” with just ten days to secure a new internal role. These aren’t anomalies - they’re signals of a systemic shift. Infosys is quietly widening manager spans across delivery units. Accenture is trialing AI-led coordination in its European hubs. Salesforce is trimming oversight-heavy roles. TCS has announced a 2% workforce reduction - over 12,000 roles - with mid and senior managers most affected. Google has reduced small-team managers by 35% in its push for efficiency. Wipro led the charge in early 2024, cutting hundreds of mid-level positions. Amazon was blunt: all divisions must increase...