Floating Button
Home Digitaledge In Focus

Confronting the generative AI paradox: Unpacking business challenges

Philip Madgwick
Philip Madgwick • 6 min read
Confronting the generative AI paradox: Unpacking business challenges
How can organisations strike the right balance between innovation and responsibility to fully benefit from generative AI? Photo: Unsplash
Font Resizer
Share to Whatsapp
Share to Facebook
Share to LinkedIn
Scroll to top
Follow us on Facebook and join our Telegram channel for the latest updates.

Over the past year, the buzz around generative AI (genAI) has reached a fever pitch. Today’s gen AI technologies can generate content at speed and with unprecedented ease.

With global data creation projected to grow to more than 180 zettabytes by 2025, there is enormous business value potential for GenAI to unlock data insights and become a data-driven business. GenAI heralds a transformative era for industries. This innovation offers the perfect capability for decision-makers with no data science skills to deliver insights via a natural language prompt, effectively democratising AI for those without deep expertise in AI and data science.

However, the rapid pace of technological progress presents a dual-edged sword. While it unlocks possibilities, it also widens the digital divide and forces boardrooms to play catch-up with emerging technologies. With access to more data than ever before, businesses leveraging genAI can uncover new patterns and insights in their data to make faster, better decisions and drive business value. But recognising that you can't simply go from zero to genAI success overnight is essential. It requires incremental steps to assess and improve data analytics maturity, organisational readiness, and buy-in to deliver trusted insights.

×
The Edge Singapore
Download The Edge Singapore App
Google playApple store play
Keep updated
Follow our social media
© 2026 The Edge Publishing Pte Ltd. All rights reserved.