By:- Anand Mahurkar, CEO Findability Sciences
“In 2026, the biggest shift will be from ‘AI that talks’ to ‘AI that does.’ Enterprises will move beyond chatbots and pilots into agentic systems that can reason over company knowledge, orchestrate workflows, and execute decisions with human guardrails. The winners will be organizations that treat findability of data as a strategic asset unifying structured data, documents, emails, and domain expertise into a governed knowledge layer that AI can reliably retrieve, cite, and act on.
We’ll also see a clear split between generic models and domain-specific intelligence. Smaller, specialized models fine-tuned on proprietary data and reinforced with knowledge graphs and hybrid search will outperform bigger models on accuracy, cost, and compliance. Multimodal AI will become mainstream, turning images, audio, and video into searchable, actionable knowledge, while real-time analytics will drive next-best actions in sales, service, and operations.
In India especially, the next wave will be enterprise AI in vernacular and sector-specific contexts like sugar manufacturing, co-operative sector, agriculture, manufacturing, legal where ROI is tied to speed, precision, and governance, not novelty. The workforce impact will be ‘human + AI’ teams, with copilots embedded in everyday tools and measurable productivity gains.
Finally, trust will be the currency of adoption. With stricter regulation, deeper scrutiny of data privacy, and rising expectations for transparency, leaders will invest in AI governance, observability, and explainability as seriously as they invest in model performance. The most valuable AI in 2026 won’t be the most impressive demo, it will be the most dependable system delivering measurable outcomes at scale.”