Generative AI could save 300 billion work hours a year, equivalent to an average of roughly two hours per employee weekly!
By | Nicolas BEHBAHANI | Global People Analytics Leader @ TechnipFMC | Leading Global HR Analytics, Driving Business Growth
๐ก Workplace maturity will be reached with a productivity gain expected between 6 and 10 years!
As generative AI reshapes the workplace, it could place new stresses on organizational structures.
๐ฅ The spread of generative AI is impressive not only in terms of geographic breadth but also speed of adoption across industries. This spread across all job types is unprecedented.
๐ Some 55% of employees use generative AI at least once a week at work, but 61% of users do not find it very trustworthy. Of those 61%, 40% would nevertheless use it to help them make big financial decisions, and 30% would share more personal data for a better experience.
๐ฉ Junior employees armed with generative AI may potentially replace their first-line managers, leaving a vacuum in the middle of the job pyramid.
Generative AIโs potential is vast, yet years of scaling are needed for full productivity benefits, according to a new interesting research published by Oliver Wyman Forum using data ๐ from more than 25,000 people across 15 countries the between June and November 2023.
โ Extraordinary potential of Generative AI: $20 trillion and 300 billion hours
Researchers estimate that generative AI could add up to $20 trillion to global GDP by 2030 and save 300 billion work hours a year.