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Employees have mixed feelings about AI

Navigating the soft skills terrain: Overlooking change management in AI integration.

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Fostering a culture of agility, innovation, and experimentation is crucial.
Nearly half of desk workers have received no guidance from their superiors.
Employers also value problem-solving, teamwork, and management capabilities in prospective hires.

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Businesses are increasingly introducing AI capabilities through pilot programs, exposing employees to new technological solutions. However, leaders may be overlooking the necessary change management processes required to effectively integrate these tools into the workforce.

According to Sunil Senan, the global head of data, analytics, and AI at Infosys, fostering a culture of agility, innovation, and experimentation is crucial. Additionally, emphasizing soft skills such as interpersonal communication and teamwork has become even more essential in preparing employees to utilize these tools efficiently.

This focus on soft skills is not unique to Infosys. A recent LinkedIn report indicates that communication, analytical abilities, and leadership are highly sought-after skills in engineering job postings. Employers also value problem-solving, teamwork, and management capabilities in prospective hires.

Senan warns that companies without clear guidance risk missing out on the benefits of AI implementation

While executives anticipate increased productivity, innovation, and efficiency through AI integration into daily workflows, a study by Slack highlights a potential gap in training strategies and policies within enterprises. Senan warns that companies without clear guidance risk missing out on the benefits of AI implementation.

Research from Slack reveals that nearly half of desk workers have received no guidance from their superiors or organizations on how to utilize AI tools in the workplace. Senan emphasizes the importance of ensuring that the broader workforce is equipped with AI awareness and skills. He suggests that building a culture, talent pool, and skills framework to support the wider community of AI users and consumers is critical for successful integration, perhaps even more so than focusing solely on those who understand AI system development.

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