Future Workforce Trends: AI Training
The integration of artificial intelligence (AI) into various sectors is not just transforming operational methodologies but is fundamentally reshaping the requisite skillsets of the workforce. One of the pioneering entities in this transformation is Adaptive, which emerged with a robust funding of $20 million. Jeremy Kahn, writing for Yahoo! Finance, highlights that Adaptive “is working on technology that makes it easier for businesses to train large language models (LLMs) that are tailored to their specific needs.” This venture signifies the initial strides towards democratizing AI, particularly making the nuanced process of reinforcement learning from human feedback (RLHF) more accessible and efficient for businesses seeking to customize AI applications.
Insights shared by industry leaders encapsulate the essence of workforce training in AI. John Blackmon, the chief AI officer of ELB Learning, says in a quote that emphasizes the importance of AI literacy: “AI will not replace your job. Your job will be replaced by someone else who uses AI if you don’t.” This statement underscores the urgency of embedding generative AI training within the professional development frameworks of organizations. The focal point here is not to master the intricacies of AI but to acquire proficiency in prompting AI platforms to yield desired outputs, a skill set that is rapidly becoming indispensable across job roles.
Thomson Reuters exemplifies a proactive approach to embracing the AI trend. The company has not only invested $650 million in acquiring Casetext, an AI assistant for legal professionals, but has also committed to a yearly expenditure of $100 million to infuse generative AI technology into its flagship products. A detailed report by CIO reveals the strategic importance Thomson Reuters places on AI education. Mary-Alice Vuicic, the chief people officer, is quoted saying, “We’re taking this very seriously,” as the company launched a generative AI education initiative marked by a global learning day attended by 14,000 people. This initiative covered the basics of AI and machine learning, and generative AI and LLMs, followed by extensive courses aimed at upskilling 9,000 employees, with 3,000 more in progress. Such comprehensive training programs are indicative of the evolving needs of enterprises to transform their workforce in line with AI advancements.
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The broad spectrum of generative AI courses and training resources further underscores the growing demand for AI competency. TechTarget’s George Lawton points out, “These wide-ranging resources help users of all skill levels learn the ins and outs of generative AI,” suggesting a democratization of AI knowledge that spans developers to business professionals. This includes platforms like Class Central, Coursera, and EdX, offering courses that range from understanding technologies such as large language models and generative adversarial networks to prompt engineering and solving business problems. The diversity of these resources mirrors the interdisciplinary nature of AI skills required in today’s workforce, highlighting a significant shift towards broader accessibility and application of AI knowledge across sectors.
The AI trend in the workforce necessitates a concerted effort towards training in AI technologies. As AI continues to redefine the professional landscape, the capacity for continuous learning and adaptation will be critical for individuals and organizations alike to harness the transformative potential of AI technologies.
