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AI boosts productivity only when thoughtfully integrated. Poor implementation can add more chaos than clarity.
Automation should simplify work, not just increase output. More tasks completed don’t always mean progress.
The true value of AI lies in freeing up time for meaningful work, not just ticking off to-do lists faster.
AI Appreciation Day rolls in with headlines about smarter tools, faster workflows, and calendars that practically run themselves. Meetings are transcribed in real-time. Emails draft themselves. To-do lists shrink, and work schedules seem to be smoothing out creases.
Behind all the automation, a question lingers: If machines are picking up the slack, why does work still feel like a never-ending climb? That’s the paradox. Tools promise relief, but the pressure remains.
When used with precision, modern tools operate in the background, quietly removing roadblocks and reducing mental drag.
Meetings Become Searchable Moments: Manual note-taking has become optional. Real-time transcription through AI tools captures every word, transforming conversations into searchable records. No need to rewind recordings or rely on memory.
Structured, Smart Summaries: Rather than dumping raw transcripts, the best platforms and AI tools distill what matters. Bullet-pointed decisions, action items, and key insights replace lengthy reports.
Admin Chores, Handled Automatically: From scheduling to formatting, many repetitive tasks are now executed in the background. The real benefit isn’t speed. It’s freedom from low-value work.
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Not every tool lives up to its promise. And the cracks start to show when implementation lacks intent.
More Time Spent Reviewing Than Working: A system that demands constant editing or manual clean-up doesn’t save time. It shifts the burden.
Information Overload: Floods of data can create more confusion than clarity. Tools that generate endless content without relevance add pressure rather than relief.
Fragmented Workflows: Switching between disconnected apps - each for meetings, notes, and scheduling - turns simple tasks into logistical puzzles.
More messages sent, more reports created, more tasks logged, but that doesn’t always mean progress.
Here’s how to tell if the system is improving productivity:
Net Time Gained: If tool management overshadows the task itself, something’s off.
Simplification, Not Duplication: A valuable tool cuts through the noise. It doesn’t add layers of review.
Return to Meaningful Work: Automation should make space for high-value thinking, not just generate checklists.
Studies show that when used as a support layer, automation improves performance by up to 40%. This is seen among skilled professionals and amateurs alike. It has never been about replacing talent, but elevating it.
Speaking about the current scenario, Rahul Sharma, Vice President - Sales, Salesforce India, explains, "We’re at a turning point in how work gets done. AI is moving from being a tool we use to a trusted partner that works alongside us - anticipating needs, reducing noise, and unlocking time for what really matters. The real opportunity lies in how AI can augment teams: helping them move faster, surface insights in the moment, and cut through the complexity that slows work down. That’s where agentic AI comes in - AI that’s proactive, contextual, and purpose-built to support humans, not replace them.
At Slack, we see this shift come to life with Agentforce, where autonomous agents act as teammates within the rhythm of daily work. But the future isn’t about more technology - it’s about technology that enables more meaningful work.
On AI Appreciation Day, we're not just acknowledging the progress we've made - we're charting a future where humans and AI collaborate in perfect sync, driving creativity, innovation, and lasting impact."
Practical adoption follows a few core principles:
Fit Matters More Than Features: The most effective tools blend into existing routines rather than forcing new ones.
Reliability Over Flash: Consistent performance reduces the need for double-checks and rework.
Depth Over Quantity: Insightful outputs matter more than high volume.
Real productivity gains appear when tools reduce noise and sharpen focus, not when they simply increase capacity for content.
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While the tech industry celebrates AI Appreciation Day, experts are sharing their views on how to approach this vast advancement. Praveer Kochhar, Co-Founder & CPO, KOGO AI, feels that AI Appreciation Day is a good moment to pause and take in just how far we’ve come. “In just a few years, AI has gone from a backend tool to an ally we actively collaborate with to make decisions, solve problems, and even shape strategy. It’s changed how we work, how we think, and in many ways, how we build.
Looking ahead, the future with AI feels even more promising. It holds the power to augment human potential and help us achieve in months or weeks what once took years. And with Private AI in the picture, some of the biggest blockers, like data exposure and security, are no longer standing in the way.
That’s exactly why we built Private AI at KOGO— to help organisations leverage the power of AI without having to give up control over their data. That opens up possibilities for sectors that have traditionally kept their distance from AI, like defence, healthcare, and BFSI, where AI has always been needed but never fully trusted.
India has both the talent and the urgency to lead in this space. And as the blockers are out, people can innovate without second thoughts. When human potential moves in lockstep with AI capabilities, nothing is standing in the way. What’s ahead is a kind of innovation we haven’t yet imagined, and I believe we’re just getting started," shares Praveer Kochhar.
Automation isn’t just a lever to do more. It’s a lens to refocus on what truly counts. On AI Appreciation Day 2025, the question that users are asking isn’t about how many things got done today. They are questioning whether anything meaningful can move forward.
Artificial Intelligence shouldn’t lengthen procedural jobs and tasks. The technology must assist users in optimizing their tasks to the highest degree. This is what this year’s AI Appreciation Day is all about. Users are gradually garnering awareness about how AI should be implemented and where it needs to be utilized.
