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AI adoption hinges on reskilling, IBM research finds

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Summary

In a new IBM Institute for Business Value report, executives expect generative AI to augment rather than replace workers and estimate that 2 in 5 of their workers will need to reskill due to AI and automation over the next three years. The technology is expected to impact marketing, customer service, procurement, finance, risk and compliance most significantly. Companies should emphasize developing enterprisewide skills with the new technology as they proceed cautiously with AI. There is a disconnect between the perception of employees and their employers around technical proficiencies, and research estimates that AI could replace up to one-quarter of current workers in the U.S. and Europe.

Q&As

What challenges do business leaders face when deploying generative AI?
Business leaders face the challenge of workforce reskilling when deploying generative AI.

What percentage of executives expect AI to augment rather than replace the workforce according to a new IBM Institute for Business Value report?
Nearly 9 in 10 executives expect AI to augment rather than replace the workforce according to a new IBM Institute for Business Value report.

How many workers are estimated to need to reskill due to AI and automation over the next three years?
More than half of executives surveyed estimate 2 in 5 of their workers will need to reskill due to AI and automation over the next three years.

What potential impacts on workers does generative AI have according to some research?
Some research estimates that AI could replace up to one-quarter of current workers in the U.S. and Europe.

How can organizations close the gap between the perception of employees and their employers around technical proficiencies?
Organizations should emphasize developing enterprisewide skills with the new technology in order to close the gap between the perception of employees and their employers around technical proficiencies.

AI Comments

👍 This article provides an insightful overview of the potential impacts of generative AI on workers and the steps organizations must take to ensure their employees are prepared for the transition.

👎 The article does not provide any concrete solutions for businesses to address the challenge of reskilling their workforce in order to properly adopt generative AI.

AI Discussion

Me: It's about AI adoption and how it will require businesses to reskill their employees. It looks at how executives expect AI to augment, rather than replace workers, and the potential impacts AI could have on workers.

Friend: That's really interesting. It makes sense that businesses would need to reskill their employees to use generative AI tools. Do they give any idea of how companies should go about doing that?

Me: Yes, IBM recommends focusing on developing enterprise-wide skills with the new technology, and emphasizes the importance of closing the skills and perception gaps between employers and employees. They also caution companies to proceed cautiously with their AI adoption, as some research suggests it could replace up to a quarter of current workers.

Action items

Develop an enterprise-wide skillset for generative AI.
Invest in reskilling initiatives to ensure employees are prepared for the shift to AI-assisted work.
Monitor the potential impacts of generative AI on workers and create strategies to address any potential displacement.

Technical terms

AI: Artificial Intelligence - a branch of computer science that deals with the development of computer systems that can think and act like humans.
Generative AI: Generative Artificial Intelligence - a type of AI that is used to generate new data from existing data.
Reskilling: The process of learning new skills or acquiring new knowledge in order to adapt to changing job requirements.
C-suite: The most senior executives in an organization, typically the CEO, CFO, COO, and other top-level executives.
Automation: The use of technology to automate processes and tasks that would otherwise be done manually.
Software Development: The process of designing, coding, testing, and maintaining software applications.
GitHub Copilot: A tool from GitHub that helps developers automate their workflows.
AWS CodeWhisperer: A tool from Amazon Web Services that helps developers automate their code.
Google Cloud Vertex AI: A tool from Google Cloud that helps developers automate their AI workflows.
Pilot Programs: A trial run of a new product or service to test its effectiveness before launching it to the public.
Gartner: A research and advisory firm that provides insights and advice on the latest technology trends.
Strategic: Relating to the identification of long-term or overall aims and interests and the means of achieving them.