We're seeing a shift from excitement to evaluation. The latest data shows that 95% of Gen AI pilots fail to reach production—a sobering sign that implementation still lags ambition.
Yet, a smarter path forward is emerging: Small Language Models (SLMs). They're leaner, cheaper, more privacy-sensitive—and ideal for edge and mobile scenarios.
Efficiency is skyrocketing. The cost to run a model like GPT-3.5 has dropped 280-fold in just two years. Hardware is 30% more efficient annually, and open-source models are closing performance gaps with proprietary ones.
Meanwhile, the future of AI isn't in replacing us—it's in collaborating with us. Leaders like TCS are building “Human + AI” models where agents work as teammates, not replacements
And locally? India’s BharatGen could change the game—this multimodal, multilingual model is being built for 1,600+ languages and culture, with a launch planned soon.
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Takeaway: The hype may be cooling—but that's a good thing. Now, it's about building responsible, efficient, inclusive, and context-aware AI that really works.
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