When AI makes career predictions with 95% accuracy
With an internal career platform where AI proactively recommends jobs to you based on skills, tenure, project work, rankings. No doubt, IBM will soon be trying to sell this career platform to other companies.
Photo: Taken at a old postal town on the Nakasendo trail.
Employee centric or Big Brother?
MYCA—IBM’s internal career platform called My Career Advisor—no longer acts as a self serve system; instead the AI proactively recommends jobs to you based on skills, tenure, project work, rankings, and so on.
Does 95% accuracy mean self fulfilling prophecy?
Accurate by whose predictions? I will be quite hesitant to work in a company where my career is decided by a robot.
Sensing this, the AI no doubt will weed me out. Well, IBM is not going to be on my favourite list of great place to work.
If I want to keep my job in IBM (hypothetically), I will certainly say that I love whatever is happening. Employee engagement survey scores have seen an increase of 20% in IBM. Does one assume anonymity or alignment? The same AI that gives out the survey can now detect the unmotivated with greater accuracy. Is there a conflict of interest? What is HR’s role?
Will I want to buy this HR solutions which IBM may try to sell my company? Hmm, why not. It certainly is a powerful machine from a profit/ cost perspective.
I recently heard this exchange on a TED talk about machines and replacing workers.
Henry Ford was hosting the Union chief Walter Reuther at his Ford car assembly line.
Henry Ford II: Walter, how will you get those robots to pay your union dues?
Walter Reuther in reply: Henry, how will you get them to buy your cars?
Whether this exchange took place, Ford in his HR practice understood the need to motivate and stablise his workforce with a decent salary because it is a circular economy.
Employees who leave your company may be potential clients, customers or your adversary. Understand the ecosystem.
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