IBM’s Artificial Intelligence Strategy Is Fantastic, But AI Also Cut 30% Of Its HR Workforce

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Curated from forbes.com →

Ginni Rometty is CEO, president and chairman of IBM. She has held the top job since 2012.

When she joined the company in 1981, total headcount across IBM was roughly 350,000. By 1994, under the direction of CEO Lou Gerstner, headcount dropped to around 225,000.

When she took over as CEO from Sam Palmisano—who had enjoyed a ten-year run as IBM’s top dog—the global employee population at the company had swollen to nearly 450,000 people. Some of it was organic. A lot of it was by acquisition.

Today and under Rometty’s leadership, IBM headcount has dropped approximately 25%. There are now less than 350,000 people. How? In part, artificial intelligence.

Rometty recently spoke at a CNBC event titled “@WORK TALENT + HR: Building the workforce of the future.” It’s her comments that got me thinking about the impact that artificial intelligence is going to have on an organization’s HR strategy and employee population.

First, Rometty indicated that 100% of all jobs will be impacted by artificial intelligence.

I agree. Every role in the corporate hierarchy will in one way, shape or form be affected by the introduction of AI over time. She went on to say that job losses as a result of AI is a “red herring” and that we really shouldn’t “follow that logic all over the place.”

There are millions of people in need of retraining and reskilling as a result of AI. If they aren’t at least partially taken care of by the organization, society will be overrun by people wondering what happened to them. It will become a zombie-like apocalypse of people wandering the streets looking for work.

In Rometty’s defense, she pointed out to audience members that organization’s ought to be considering three tactics to help with the transition to AI:

Somewhat ironically, however, Rometty indicated that skills were going to become the lifeline of an employee’s relevancy. “If you have a skill that is not needed for the future and is abundant in the market and does not fit a strategy my company needs, you are not in a good square to stay inside of,” Rometty said. “I really believe in being transparent about where skills are.”

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Again, transparency is one thing but helping employees with their transition under the shadow of AI, in my opinion, has got to be one of the organization’s top strategies going forward.

By example, IBM has reduced its global HR workforce by 30% through the introduction of AI into the company. But did it do anything to help those who were packaged out to learn a new skill?

Perhaps it did and those HR employees simply decided to leave. After all, Rometty suggested that  transparency is key to IBM’s workforce planning and skills gap. She also said that the AI that’s in place “infers” through the analysis of data, networks, relationships, skills, rankings and education what jobs are possible for internal candidates.

Maybe Watson felt those HR employees at IBM just didn’t have it in them to take on a new role.

That being stated, Rometty’s love for HR and the potential benefits of AI is demonstrable.

She alluded to other traditional HR systems being uprooted by AI for the better. 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.

The company’s learning management system has become the “Netflix of Learning,” again proactively recommending courses and skill upgrades based on your progress at the company.

In an apparent knock to the antiquated way that HR organizes itself, Rometty believes that HR has got to become employee centric. “We have to do things for employees not to employees,” she said. She wants to see co-creation become a large part of its culture.

She wants companies to move away from centres of excellence to solution centres. Perhaps we should be thinking about pop-up solution shops.

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Yves Mulkers

Yves Mulkers is the founder of 7wData and a widely followed voice in the data and AI community. He curates the 7wData and AI Beat newsletters, reaching hundreds of thousands of data and AI professionals, and writes on data strategy, analytics, AI, and the evolving data ecosystem.