Singapore Businesses Face an 'Intelligence Problem' as AI Adoption Outpaces Strategy

Singapore's push to become an AI leader is entering a critical phase, but a new analysis from Singapore Business Review warns that the city-state's enterprises face an 'intelligence problem': businesses are adopting AI rapidly, but struggling to connect it to the real-world context needed for effective decision-making. Budget 2026 set the direction with the National AI Council and national AI missions, and the government has since refreshed the National AI Strategy and introduced a new enterprise adoption playbook. The message is clear — but execution is proving harder.

The commentary, written by Mimrah Mahmood, argues that Singapore businesses are no longer being asked whether they should adopt AI, but whether they can translate AI investment into measurable business outcomes. The risk is that organisations make decisions based on what they already know internally, rather than what is changing around them in the market. A retailer's AI pricing tool, for example, might suggest prices based on past sales data while missing that a competitor has launched a new product changing how customers judge value.

The analysis highlights a structural weakness in how many organisations are approaching AI. Some systems are grounded primarily in internal data, providing visibility into operations but little understanding of changing customer sentiment or competitive dynamics. Others rely on generic AI models with broad external knowledge but limited access to the organisation's own context. In both cases, AI generates answers but lacks a complete picture. Gartner's prediction that 60% of AI projects not supported by AI-ready data will be abandoned by late 2026 looms large over these efforts.

The challenge is compounded by the speed at which AI is being deployed across functions. As AI scales, existing blind spots can become magnified across entire organisations. A bank using AI to personalise customer experiences might do so more efficiently, but if it relies solely on transactional data while missing broader shifts in trust or sentiment, it risks scaling experiences that are increasingly disconnected from what customers actually need.

Why it matters for Singapore: The analysis strikes at the heart of Singapore's AI strategy — the country has bet heavily on being an early and disciplined adopter of AI, but being early is different from being effective. The real opportunity, the commentary argues, lies in building AI that can reason across both internal and external sources of intelligence. As AI becomes embedded across Singapore's finance, healthcare, manufacturing, and telecommunications sectors, the organisations that gain the greatest advantage will not be those that move fastest, but those that are best informed.