How AI is changing non-tech industries and how to adapt | Work It (ft Goki Muthusamy, Samuel Hoong)

Key Concepts

• Digital Transformation: The integration of digital technology into all areas of a business, fundamentally changing how it operates and delivers value to customers.
• Generative AI (Gen AI): A type of artificial intelligence that can create new content, such as text, images, music, and code.
• Large Language Models (LLMs): A type of AI model that can understand and generate human-like text.
• Upskilling: The process of learning new skills or updating existing ones to remain relevant in the workplace.
• Reskilling: The process of learning new skills to transition into a different job or career.
• Growth Mindset: A belief that abilities and intelligence can be developed through dedication and hard work.
• T-shaped Talent: Individuals with deep expertise in one area and a broad understanding of related fields.
• Prompt Engineering: The art and science of crafting effective prompts to guide AI models to produce desired outputs.
• Behavioral Assessments: Interview techniques that focus on how candidates have handled past situations to predict future behavior.
• Leadership Principles: Core values and expected behaviors that guide employees within an organization.

The Evolving Nature of Work in Singapore's Digital Economy

This episode of the Work It podcast, brought to you by IMDA, delves into the transformative shifts occurring in the Singaporean workforce due to digitalization and the increasing integration of AI. The discussion highlights that digital growth is not confined to tech companies but is pervasive across various sectors, including finance and insurance, with over two-thirds of Singapore's digital economy originating from non-infocom sectors. The central theme revolves around how job scopes are evolving, and how both companies and employees can prepare for and support this transition.

AI's Impact on Work and Job Scopes

Key Points:

• Shift from Repetitive Tasks to Higher Value Work: Generative AI and LLMs are automating tedious, repetitive tasks, allowing employees to focus on more interesting, strategic, and higher-value activities. Samuel Hung notes that AI "shifts the focus of work from more of a you know instead of the standard manual repetitive task now we get to focus on more um interesting concepts right we get to offload the work that we don't want to do right or the tedious repetitive work."
• Enhanced Decision-Making with Real-time Insights: AI enables real-time data analysis, moving away from traditional month-end or quarter-end reporting. Goki Mutusami emphasizes this, stating, "the number one pain point is like reporting and data and you know we have to wait to month end or quarter end or an annual report before we can make decisions. So when you release a new product in the past you got to wait till uh you get all the data captured before you augment your product or you do something different. But now I think you get the insights real time like fraud detection is a perfect example. It now happens in milliseconds so that you know teams and companies can intervene quicker."
• AI as a Collaborative Agent: Employees can now work alongside AI agents, offloading parts of tasks and engaging in a back-and-forth interaction. Goki explains, "I have a AI agent or I have AI that I can actually go back and forth with my task. So, I'm not doing end to end work like you said. I can actually offload some of the tasks to my AI to complete for me. And my AI doesn't complain because it's 24 by 7."
• Empowerment for Employees and Enhanced Capabilities for Companies: AI empowers employees by automating mundane tasks and enabling them to automate processes themselves. For companies, it translates to better capabilities for customers, such as the rapid fraud detection mentioned.

Essential Skills for the Digital Age

Key Points:

• "Mission Critical" Skills Over "Soft Skills": Goki Mutusami argues against the term "soft skills," advocating for "mission critical" skills that differentiate humans from AI. These include:
  • Human Judgment: The ability to make sound decisions, especially in complex or ambiguous situations.
  • Complex Problem-Solving: Tackling intricate issues that AI cannot fully resolve.
  • Critical Thinking: Analyzing information objectively and making reasoned judgments.
  • Adaptability and Resiliency: The capacity to adjust to changing circumstances and bounce back from setbacks.
  • Curiosity: A strong desire to learn and explore new ideas.
• The Importance of Asking Great Questions: To effectively leverage AI, individuals need to ask insightful questions, requiring strategic thinking and a consultant-like approach to problem definition.

Hiring and Talent Identification in the Transforming Landscape

Key Points:

• Shift to Behavioral Assessments: Traditional resume walkthroughs are being replaced by behavioral questions designed to assess how candidates react in real-time to demonstrate crucial skills like resiliency, adaptability, and judgment. Examples include "tell me about a time where your project got completely derailed."
• Case Studies for Evaluating Logic and Judgment: Companies are using case studies to evaluate candidates' logical thinking and their thought processes when responding to different scenarios, rather than seeking perfect answers.
• Alignment with Leadership Principles: Organizations like Visa assess candidates against their established leadership principles (e.g., customer obsession, executing with excellence) to ensure cultural fit and identify differentiators.
• Advice for Job Seekers: Candidates are advised to research a company's core values and leadership principles and embody them during the interview process.

Nurturing and Upskilling the Existing Workforce

Key Points:

• Employer Support for AI Adoption: According to an IMDA pulse survey, approximately seven in ten surveyed AI users reported receiving employer support, primarily through training.
• Providing Access to Tools: Visa provides employees with AI tools such as Copilot, GitHub, and Perplexity Pro to empower them.
• Cultivating a Culture of AI Usage: Simply providing tools is insufficient; companies must foster an environment where these tools are integrated into everyday work.
• Samuel's Career Pivot: Samuel Hung's transition into specializing in generative AI through a career conversion program exemplifies successful upskilling. He emphasizes that "being thrown actual projects" provides invaluable real-life use cases and constraints, moving beyond theoretical knowledge.
• Defining Successful Upskilling:
  • On-the-Job Training (OJT): Goki stresses the importance of OJT and real-life project experience for true expertise.
  • Self-Driven Learning: Employees are increasingly expected to be proactive in identifying their skill gaps and driving their own learning.
  • Managerial Support: Managers play a crucial role in guiding their team members on what to learn and aligning it with company direction.
• Tracking Upskilling Success: Success is measured by applicability. Goki provides an example: "Let's say I go for a data course... The manager needs to talk to me. We need to debrief on my learning. And then 3 months later, I'm building a dashboard that my team is using... that is helping to solve client problems." This demonstrates a win-win for both the individual and the company.
• Visa's Collaboration with IMDA: A past collaboration trained 300 Singaporeans without computer science backgrounds over a year, combining on-the-job and classroom training. This program resulted in 50% of the cohort being hired by Visa, with others flourishing in different roles, highlighting the effectiveness of committed programs and ecosystem support.

Preparing for Future Job Scopes

Key Points:

• The Power of Mindset:
  • Growth Mindset: Embracing a "learn-it-all" mentality over a "know-it-all" approach, as advocated by Satya Nadella. This involves being flexible, adaptable, and comfortable with shifting goals and priorities.
  • Resiliency and Ambiguity: Being comfortable with uncertainty and the possibility that current work may become irrelevant.
• Broadening Skill Sets: Moving beyond "T-shaped talent" to acquire adjacent skills that complement deep expertise. Samuel's journey is presented as an embodiment of this.
• Proactive Trend Awareness: Staying informed about industry trends through accessible knowledge and information, participating in industry forums, and understanding where the field is heading.
• Reskilling in Adjacent Areas: Critically important for staying relevant.

Embracing AI: A Tool, Not a Threat

Key Points:

• AI as a Tool, Like Excel: Samuel likens AI to a tool like Excel, which revolutionized work by automating manual calculations. He argues that "we just have to embrace the tools that are given to us today."
• Low Barrier to Entry for Gen AI: The initial steps to engage with Gen AI are not complex. Curiosity, playing with interfaces, and basic prompt engineering are recommended starting points.
• The "Iron Man Suit" Analogy: Goki uses the analogy of an Iron Man suit, where AI provides superpowers and handles heavy lifting, but the human remains in the driver's seat, directing and utilizing the AI.
• AI as a 24/7 Personal Assistant: Samuel views AI as a personal assistant available around the clock, ready to help with tasks and answer questions.
• Message to Those Fearing AI: The core message is to embrace AI, not fear it. It's about augmenting human capabilities, not replacing them. The shift requires a change in mindset and a willingness to explore new technologies.

Looking Ahead: Opportunities and Continuous Learning

Key Points:

• Historical Perspective on Technological Revolutions: Goki draws parallels to past revolutions like the internet and smartphones, emphasizing that humanity has consistently adapted and benefited from technological advancements.
• Unprecedented Pace of AI Change: While acknowledging the rapid pace of AI development, Goki reiterates the enduring importance of critical thinking, good judgment, resiliency, adaptability, and the ability to ask great questions.
• Self-Development and Community Engagement: Individuals should be proactive in their self-development, seek opportunities, venture into unknown areas, and engage with industry communities, forums, and mentors.
• The Future is Unpredictable, but Foundational Skills Endure: While predicting the next big thing is impossible, holding onto core traits like curiosity, a hunger to learn, and a proactive approach will ensure continued relevance.

Conclusion

The discussion underscores that the future of work in Singapore is intrinsically linked to digital transformation and AI integration. The key to navigating this evolving landscape lies in cultivating a growth mindset, embracing continuous learning and upskilling, and leveraging AI as a powerful tool to augment human capabilities. While the pace of change is rapid, foundational human skills like critical thinking and adaptability, combined with a proactive approach to learning, will enable individuals and organizations to thrive. The message is one of empowerment and opportunity, urging individuals to embrace AI as a partner in their professional journey.