Is the future turquoise-collar?

I HAVE spent over two decades deploying artificial intelligence (AI) in high-stakes environments.

The pattern is clear: Hype promises overnight transformation, but the real wins come from making AI reliable, invisible and accountable.

Yet right now, the uncomfortable truth is staring us down. AI isn’t just augmenting work. In many cases, it is quietly replacing the cognitive core of what we do.

We tell ourselves technological shifts are always net positive. Steam engines displaced older power sources, computers automated routine tasks, and new roles emerged. History nods reassuringly.

But AI accelerates differently. It commoditises analysis, decision-making, content generation and strategy – skills we built careers and educations on.

The compression is brutal. Disruptions that once unfolded over decades now hit in years. This isn’t tech-for-tech substitution. It is AI encroaching on human domains we assumed were safe.

The risk is systemic. Productivity climbs, but if displaced workers crowd the remaining jobs, wages stagnate under fierce competition. Fewer can afford the abundance AI helps create: an underconsumption trap on fast-forward.

If macroeconomic settings stay unchanged with minimal intervention and markets rule, the imbalance could fracture things. Anxiety is palpable. Employees scan for AI in their performance metrics. Parents question whether university paths still lead to security.

Hope is not a strategy. Proactive adaptation is.

Reflect on how we got here. Globally, we steered generations towards white-collar prestige. In Singapore, post-independence factories gave way to finance and tech hubs.

In the US, manufacturing faded into knowledge work. Europe and Asia mirrored the shift.

Degrees signalled status, cleaner desks, upward mobility. Blue-collar trades were vital, but often viewed as the road less travelled – physically tougher, less aspirational. Parents nudged their children towards offices, equating collar colour with success.

AI delivers ironic payback. The white-collar bastions we prized – coding, management, analysis, marketing, legal drafting – are now most exposed. The International Monetary Fund estimates 60 per cent of jobs in advanced economies are vulnerable, with cognitive roles hit hardest.

In the US, high-school grads outpace college ones in hiring for the first time in decades. Firms in tech and finance cite AI efficiencies for cuts. Europe’s banking sector braces itself for tens of thousands of reductions. China’s young professionals increasingly eye trades amid rising skilled wages.

As organisational psychologist Anthony Klotz puts it, AI jolts could erase 20 per cent of daily tasks within five years, starting in offices.

Blue-collar paths – the physical builders in plumbing, welding, construction – offer more breathing room. For now.

Unstructured environments, dexterity and real-time judgment still outpace AI and current robotics. Elon Musk flags trades like electricians as highly resistant. We are witnessing blue-collar’s revenge. Gen Z worldwide surges into vocational routes. Shortages explode by decade’s end.

But this isn’t pure nostalgia. It is hybridisation – hence turquoise-collar. This is a practical blend of physical grounding and cognitive augmentation. Humans orchestrate AI in integrated workflows. Mechanics leverage real-time diagnostics. Builders direct drones. Supervisors manage agentic systems.

This is emerging reality, not theory. World Economic Forum scenarios for 2030 hinge on preparation, pointing towards human-AI synergy when we invest wisely, rather than displacement when we lag.

Governments and companies alike must move with urgency. Scale nationwide upskilling, targeted transitions for white-collar workers, ethical AI hiring rules and early literacy programmes.

Singapore shows promise with its Budget 2026 merger of skills agencies for seamless training and access to premium AI tools, plus workforce excitement running ahead of global averages.

Elsewhere, the UK funds reskilling, US firms embed AI literacy, and unions drive job redesign for shared benefits.

The imperative is clear: move beyond cost-cutting mindsets. Redesign roles for collaboration, tap conversion schemes, and redefine entry-level work to spark opportunity. Reskilling beats downsizing every time; it retains talent and fuels innovation.

The reality we’re hurtling towards isn’t binary; it’s turquoise. A world where the most valuable work fuses physical presence with cognitive command, human hands guiding AI’s reach.

Yet if we fail to adapt, we court a quieter tragedy: becoming the prized horse-race trainers of tomorrow, still eloquent about strategy and form, still respected in narrow circles, while the real race roars past on circuits we no longer understand.

The tools are here. The timelines are compressing. The only question left is no longer abstract: When the engine hums louder than the hoofbeats, will you still be the one holding the reins or will you be left in the stands, watching someone else drive?

The writer is a senior industry expert with over two decades in data science and AI. He is passionate about operationalising AI while keeping human centricity at the heart of every solution.