Gartner’s crystal ball gazers predict bumpy roads ahead for genAI and a slowdown by 2026.
Big G thinks that the big spend on keeping IP safe and dodging copyright infringement is set to put the brakes on genAI adoption and trim down those juicy returns.
Gartner’s top boffin, Rita Sallam, warns that as genAI gets smarter, the rule-makers are playing catch-up. And it’s not just the big cheeses sweating over IP risks; it’s a headache for the whole office.
She says it is time to be choosy with vendors and smarten up the crew with the right tools.
At its Data & Analytics Summit, Big G said that by 2026, 75 per cent of chief data and analytics officers who still need to make an AI splash across the company will find themselves back in the tech trenches.
Fast forward to 2027, and 40 per cent of CDAOs will be selling governance as the golden ticket to business success from day one.
Another prediction for 2027 is that 60 per cent of firms will be scratching their heads, wondering why their AI projects didn’t bring home the bacon, all thanks to patchy ethical governance.
By 2028, over half the firms that tried creating their own large language models will abandon the effort due to the hefty price tag, brain-aching complexity, and tech hangovers.
Gartner is betting that by 2027, GenAI gizmos will be the superheroes of the tech world, slashing modernisation costs by a staggering 70 per cent.
Three-quarters of new analytics content will get the GenAI treatment by 2027, making it a doddle to turn insights into action.
Come 2027, GenAI will be the penny-pinching wizard for cloud analytics, automating 40 per cent of the spending.
By 2025, natural language will be the king of data management APIs, accelerating data munching by a hundredfold.
And by 2025, 90 per cent of folks who used just to gobble up analytics will be dishing it out, thanks to AI.
