The Scenario That Has Business Leaders Rethinking Everything
CitriniResearch just published a jaw-dropping thought experiment that's sending shockwaves through the business community. The piece, titled "The 2028 Global Intelligence Crisis," paints a detailed scenario of what could happen if AI adoption accelerates faster than our economy can adapt.
This isn't fear-mongering or AI doomer fiction, it's a carefully constructed economic model exploring underexplored risks. Written as a fictional macro memo from June 2028, it describes how rapid AI advancement could trigger economic feedback loops that traditional policy tools can't fix.
The scenario starts optimistically: by October 2026, markets hit record highs as AI drives unprecedented productivity gains. Companies using AI agents see margins expand dramatically, with corporate profits soaring as labor costs plummet.
But here's where it gets interesting: the piece describes how this productivity boom creates "Ghost GDP," output that shows up in national accounts but never circulates through the real economy. A single GPU cluster replacing 10,000 white-collar workers generates output without generating consumer spending.
The scenario traces a negative feedback loop: AI improves, companies need fewer workers, displaced workers spend less, margins tighten, firms invest more in AI, capabilities improve further. This "human intelligence displacement spiral" accelerates throughout 2027-2028.
By mid-2028 in this scenario, unemployment hits 10.2%, the S&P has crashed 38% from its highs, and the mortgage market faces unprecedented stress. The crisis stems not from bad loans, but from good loans made to people whose jobs simply no longer exist.
What makes this scenario compelling is its attention to second-order effects: SaaS companies disrupted by agentic coding tools, private credit markets seizing up, payment intermediaries losing relevance as AI agents route around fees. Each domino carefully explained.
The punchline? "You're not reading this in June 2028. You're reading it in February 2026. We still have time to be proactive. The canary is still alive."
How This Impacts MSMEs in Malaysia
For Malaysian business owners, this scenario offers a critical lens for strategic planning, even if the extreme outcomes never materialize. The underlying dynamics, AI driving productivity while displacing certain roles, are already happening here.
Recent data shows Malaysian AI adoption surged 35% to reach 2.4 million businesses, yet 73% remain stuck at basic efficiency levels. This creates a two-tier economy where early adopters gain massive advantages while laggards fall behind.
The scenario's description of "intermediation collapse" is particularly relevant for Malaysian MSMEs in distribution, agency, and service-based sectors. If your business model depends on information asymmetry or transaction friction, AI agents pose an existential question.
Malaysian businesses face unique vulnerabilities: many MSMEs operate in sectors the scenario identifies as high-risk (software services, business process outsourcing, traditional retail intermediation). Our economy's structure makes us exposed to these disruption patterns.
However, the scenario also reveals opportunities. Companies that adopt AI proactively, as the piece describes, see "margins expand, earnings beat, stocks rally." The winners are those who transform before being forced to.
The key insight for Malaysian MSMEs: you don't need to fear this scenario, you need to position yourself on the right side of it. Early AI adoption isn't just about efficiency, it's about survival in an increasingly AI-native economy.
What You Should Do to Adopt/Adapt This
First, audit your business model's vulnerability to the dynamics described in this scenario. Ask honestly: does your value proposition depend on tasks AI can now perform better, faster, or cheaper?
If you're in services, consulting, or knowledge work, start integrating AI tools immediately to enhance (not replace) your team's output. The scenario shows that companies who adopted AI proactively gained competitive advantages, while those who waited faced existential pressure.
For Malaysian MSMEs with limited budgets, focus on high-ROI implementations first: customer service automation, content creation, data analysis, or process optimization. Start small with pilot programs that demonstrate clear value before scaling.
Most importantly, build AI literacy across your organization now. The scenario's "intelligence displacement spiral" primarily affected workers who couldn't adapt, train your team to work alongside AI rather than compete against it.
Reference
https://www.citriniresearch.com/p/2028gic
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