AI is turbocharging innovation, and the race for AI talent is heating up. Talent is a differentiator, but the half-life of skills is shrinking. Upskilling is imperative - can companies upskill in-time talent to win?
In the last couple of weeks,
-> Meta is reportedly pursuing top AI talent with quick offers and personal emails
-> Tesla hashtag#Robotics is hiring for a key role in its Optimus Humanoid Robot project
-> Multiple members of Inflection AI including their CEO joined Microsoft to lead #AI efforts
The tech pace of change continues to increase, but few companies have successfully scaled AI. This will change as they are ramping up very quickly.
But there's a bottleneck and not just "compute" and access to good data. Talent scarcity is one of the main concerns for executives worldwide. Demand for AI Talent is high, but supply is seemingly very limited.
As the WSJ reports the AI talent wars are heating up. Tech companies are serving up million-dollar compensation packages, accelerated stock-vesting schedules, and poaching entire engineering teams.
Interestingly, 80% of AI talent leave because they don’t see opportunities for career advancement in the #workplace. At the same time, only 10% of new roles are filled by existing staff (BCG). What's more, companies that invest in employees' growth are 3.5X more likely to have engaged employees (Gallup).
Upskilling is a strategic imperative and "good for business".
Yes, AI will shape the #futureofwork, but companies that invest in people to capitalize on these advancements will remain competitive and have an edge in the escalating talent war.
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Ram Srinivasan currently serves as an Innovation Strategist and Transformation Leader, authoring groundbreaking works including "The Conscious Machine" and the upcoming "The Exponential Human."
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