{"id":116453,"date":"2024-04-25T08:00:00","date_gmt":"2024-04-25T15:00:00","guid":{"rendered":""},"modified":"2025-04-22T13:45:13","modified_gmt":"2025-04-22T20:45:13","slug":"3-ways-to-solve-the-skilling-challenge-for-an-ai-empowered-government-workforce","status":"publish","type":"post","link":"https:\/\/cm-edgetun.pages.dev\/en-us\/industry\/blog\/government\/2024\/04\/25\/3-ways-to-solve-the-skilling-challenge-for-an-ai-empowered-government-workforce\/","title":{"rendered":"3 ways to solve the skilling challenge for an AI-empowered government workforce"},"content":{"rendered":"\n

Government organizations are as eager as any business sector to harness the power of generative AI to transform their operations and improve service delivery. But as more and more of them initiate early exploration, experimentation, and eventual implementation, the unique challenges of successful adoption in governments are emerging. And\u2014no surprise\u2014it\u2019s not just about the technology.<\/p>\n\n\n\n

This is of particular interest to our Microsoft for Government<\/a> team, where our mission is to help governments solve society\u2019s biggest challenges. With the accelerated pace of innovation surrounding generative AI in the past 18 months, we\u2019ve taken a special interest in understanding the full range of factors that either promote or hinder adoption in government organizations. One concern we invariably hear is about skilling\u2014that is, how to provide the training and support required to help employees not just understand the technology but embrace it. Without this, even the best implementations are at risk of failure.<\/p>\n\n\n

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Microsoft for Government<\/h2>\n\n\t\t\t\t\t
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Bridge the AI skills gap in your workforce. <\/p>\n\t\t\t\t\t<\/div>\n\n\t\t\t\t\t\t\t\t\t\t\t

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How a skilling strategy can advance AI adoption in governments<\/h3>\n\n\n\n

The growing interest in generative AI has already produced dramatic results<\/a> in businesses globally, including many noteworthy impacts on governments<\/a>. Gartner predicts that nearly 25% of governments plan to deploy generative AI solutions by March 2025, with an additional 25% projected the following year.1<\/sup> While impressive, this is a bit less than projected global adoption, which is not surprising given that government organizations face an especially high bar in terms of trust, risk, and community expectations.<\/p>\n\n\n\n

The promise of generative AI is prompting many governments to complete their cloud migrations and upgrade their data strategies, gradually retiring costly and increasingly inadequate legacy systems. These upgrades will deliver multiple benefits and are essential prerequisites to enabling generative AI innovation.<\/p>\n\n\n\n

As it turns out, however, technology alone is not enough. According to a recent IDC study<\/a>, the number one barrier to implementing and scaling AI is a lack of skilled workers. Nearly 52% of global business leaders named skilling as their top challenge\u2014more than cost (28%), concerns about data or IP loss (28%), or concerns about governance and risk.2<\/sup><\/p>\n\n\n\n

To help fully understand the challenges of skilling that governments face, we commissioned our own research, Public Sector Insights on Skilling<\/a>. We learned that the obstacles include limited training budgets and a lack of employee time and resources dedicated to learning.<\/p>\n\n\n\n

New strategies for upskilling the government workforce for generative AI<\/h3>\n\n\n\n

Governments who want to be successful with AI should recognize that people are as important as technology in delivering a strong return on investment (ROI). That\u2019s why upskilling is essential, both in terms of funding and employee time.<\/p>\n\n\n\n

To help their workforce take advantage of major investments in digital transformation, the Bank of Canada<\/a> developed an ongoing learning experience platform that provides targeted learning journeys and skills pathways for staff of many specializations. The goal is to free workers from many time-consuming administrative tasks and encourage them to focus on more meaningful work.<\/p>\n\n\n\n

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