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AI Leadership

The AI Effect: A New Reality for Knowledge Workers

Goldman Sachs CEO David Solomon recently remarked:
“AI can now draft 95% of an S1 IPO prospectus in minutes – a task that used to require a 6-person team and multiple weeks. The last 5% now matters because the rest is a commodity.”

A striking statement – and a sobering truth.

We are witnessing a tectonic shift. AI is not just automating repetitive tasks; it is commoditizing high-value professional work once reserved for elite experts. The knowledge economy is being recalibrated – from expertise-driven to insight-driven, from execution to elevation.

What does this mean for leadership?

  • Efficiency is no longer a differentiator; judgment is.
  • Speed is expected; strategic originality is what stands out.
  • Majority of your deliverables may be automated; it’s the final last missing piece that will justify your role and relevance.


As AI continues to erode the margins of operational work, we must urgently ask ourselves:
Are we building teams that can deliver unique insight and direction? Or are we still rewarding output that’s quickly becoming replaceable?

This is not just a wave of change – it’s a new baseline. The AI effect, a new reality for knowledge workers.

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By Swatantra Kumar

Swatantra is an engineering leader with a successful record in building, nurturing, managing, and leading a multi-disciplinary, diverse, and distributed team of engineers and managers developing and delivering solutions. Professionally, he oversees solution design-development-delivery, cloud transition, IT strategies, technical and organizational leadership, TOM, IT governance, digital transformation, Innovation, stakeholder management, management consulting, and technology vision & strategy. When he's not working, he enjoys reading about and working with new technologies, and trying to get his friends to make the move to new web trends. He has written, co-written, and published many articles in international journals, on various domains/topics including Open Source, Networks, Low-Code, Mobile Technologies, and Business Intelligence. He made a proposal for an information management system at the University level during his graduation days.

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