Educators say companies see training as best way to meet demand for AI talent

AI and ML Jobs


As demand for generative artificial intelligence (gen AI) grows, so does the demand for talent that can work with this technology. And leaders have a new role to play in preparing their teams for work in the AI ​​era. Experts say the growing demand for AI talent can't be met through new hires alone.

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Training setup Bhavesh Goswami, founder and CEO of CloudThat, says the accelerating pace of AI means businesses need to stay competitive. “It will be nearly impossible for organisations to continually hire selectively, so they are now looking to upskill their existing workforce. Hired engineers and IT professionals are now being pushed to upskill to become Gen AI, AI or machine language (ML) engineers.”

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Organizations aren’t seeing new hiring as the solution, but are investing in comprehensive training programs and partnerships with educational institutions to close the skills gap.

Job roles related to AI and machine learning have grown 74% annually, says Krishna Kumar, founder and CEO of Learnbay. “This trend underscores the growing demand for professionals who are not only well-versed in AI technology but also have the skills to apply AI in innovative ways across sectors,” Kumar says.

He said the number of corporate-sponsored AI education programmers has increased by 50% in the past year, and the Learnbay CEO sees this as an opportunity for organizations to future-ready their employees and foster a culture of innovation and agility.

CloudThat's Goswami said CTOs are working on upskilling efforts on Microsoft's gen AI capabilities: “Using gen AI as a co-pilot will increase the number of new products and features developed by 15-20%, reduce the number of bugs found in production by 10-15%, increase customer retention and loyalty by 5-10%, and reduce time to market for new products and features by 10-15%. So upskilling employees is imperative.”

Companies are choosing corporate training partners that specialize in niche technologies to augment their resources and enable them to deploy the most competitive and advanced generation AI projects. Leaders believe that upskilling is essential to stay competitive, win the race, and reinvent the companies they work for.

As this technology continues to evolve, businesses must continue to invest in learning and forge long-term partnerships with AI training institutes.

Kumar says leaders should foster an innovative culture, adapt AI practices to ensure data privacy and bias mitigation, and maintain a scalable and flexible AI infrastructure. Staying up to date on advances in AI is crucial to make informed decisions, explore new opportunities, and keep your organization future-ready, he adds.

At the same time, leaders must be mindful of issues around ethics, privacy and fair practices.

Gopichand Katragadda, president of the Society for Engineering and Technology, says it is crucial to implement robust frameworks to ensure the ethical and safe application of AI. “When selecting enterprise-grade AI solutions, prioritize those with strong data governance and privacy protocols. The key is to view generative AI not just as a technological tool, but as a strategic asset that can fundamentally enhance and differentiate your offerings in a rapidly evolving marketplace,” he adds.
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