Insights
Who Shifted My Cheese?
New research shows AI creates more jobs than it destroys, but the divide between winners and losers is about where you sit in the value chain.
Forbes reports on research from Yale, PwC, IMF, and NBER suggesting AI anxiety is overblown: 82% of CEOs report stable or growing headcount since ChatGPT's launch. However, the threat is real for entry-level and back-office roles. The key insight: AI won't eliminate knowledge work - it will reshape it. The winners will be those who focus on firm-wide value creation, customer intimacy, and codifying organizational knowledge rather than just personal productivity gains.
Tacktica's take
Here's what matters for your strategy: if you're a Climber targeting Director-level positions, your AI fluency alone won't differentiate you as every peer at your level will likely have it. What separates senior promotions is demonstrable track record building AI-enabled value creation that moves the revenue needle or strengthens competitive advantage. This shifts the conversation from "I use ChatGPT to draft faster" to "I led the AI play that increased customer retention by 15%." That's what boards care about.
For Pivoters eyeing fintech, product, or strategy roles, this is actually favorable terrain. These domains sit closest to the revenue line and are seeing the most active AI experimentation. But the play isn't to become an AI specialist, it's to become fluent enough to ask the right questions about where AI creates unfair advantage in your target sector, then move into roles where you can execute that vision. A strategy manager who can connect AI capability to customer value beats an ex-data analyst every time.
One practical warning: if your current role is in standardized back-office work (compliance admin, routine analysis, transaction processing), the automation risk is real in Singapore's lean-operation culture. Your move isn't to upskill in prompt engineering - it's to drift toward customer-facing, revenue-supporting, or knowledge-codification work over the next 12–18 months. Geographic mobility and role flexibility matter here.
Key takeaways
- Shift your narrative from individual productivity to firm value creation; show how you'd use AI to unlock revenue, innovation, or competitive advantage in your target role
- Gravitate toward customer-facing or revenue-adjacent roles if your current function is standardized, repeatable, or historically outsourced
- Build visible expertise in codifying and monetizing organizational knowledge - IP, customer insights, best practices - not just deploying tools
- Use industry research (PwC, McKinsey, WEF reports cited here) in your next career conversation to show you think strategically about AI's impact, not reactively
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Tacktica Insights summarises and comments on public reporting; each post links to its source. Summary and analysis are Tacktica's own. · All insights · tacktica.com