The well-known "pick-and-shovel" hardware providers for AI infrastructure, such as NVIDIA, require little introduction.

However, effective AI adoption empowers another category of enterprises to elevate their traditional offerings to an entirely new level, boosting productivity with unprecedented efficiencies.

These newfound operational advantages distinguish them from their competitors.

Notably, these are primarily mature, traditionally non-AI-related companies that are frequently overlooked amid the intense focus on AI-infrastructural names.

From "Hardware Enablers" to "Applied Adopters"

From local companies such as AEM Holdings (SGX: AWX) and UMS Integration (SGX: 558), to global memory giants like Micron (NASDAQ: MU), SK Hynix (KRX: 000660), and Samsung (KRX: 005930), these hardware enablers have profited from the growing AI infrastructure buildout.

However, the sustainability of their growth remains uncertain.

Consider this: What if the chip shortage for AI-related semiconductors, such as memory modules, turns into a glut?

Haven't we seen this scenario before?

During the height of COVID-19, consumers stuck at home drove massive demand for laptops and smartphones, only to see demand collapse as the economy slowed.

In this situation, the AI hardware enablers would be the hardest hit, having borne the burden of building costly AI infrastructure. Meanwhile, the applied adopters would be comparatively shielded from the impact.

Still, effective AI adoption is more than just slapping an AI label on your business.

We examine some names that exemplify such effective adoption.

OCBC Bank (SGX: O39) – Workflow Acceleration and Virtual Advisors

For the first quarter of 2026 (1Q2026), OCBC's total income grew 5% to S$3.83 billion year on year (YoY), with net profit rising 5% to S$1.97 billion, led by the wealth management business, which grew its income 11% to S$1.48 billion.

Crucially, both customer-facing and back-end processes of OCBC are benefiting from AI adoption:

OCBC's relationship managers are using AI tools, such as agents that draft time-consuming source-of-wealth reports, to free up time for client engagements.

The AI-powered OCBC WoW app, which features two AI avatars and is being trialled, is expected to help the bank achieve its goal of doubling its wealth management business by 2029.

With the Whisper generative AI function, customer interactions with OCBC's contact centre are being transcribed and summarised.

At the back office, generative AI functions such as Document AI summarise bulky documents, Wingman writes code for developers, and Buddy records meeting minutes just like a secretary.

OCBC is using AI to automate complex, manual tasks to facilitate the delivery of traditional banking services.

DBS Group (SGX: D05) – Predictive Intelligence and Risk Management

DBS's AI investments have laid the foundation for its future growth.

To ensure sustainability in its AI adoption, DBS's management has introduced a strict governance framework known as PURE, an acronym for Purposeful, Unsurprising, Respectful, and Explainable.

Guided by this framework, DBS embeds its data professionals across various business units to drive continuous improvement and innovation to scale AI reliably.

DBS's AI adoption is already showing results.

AI-powered predictive risk analysis allows DBS to identify 95% of SME (Small and Medium Enterprise) credit risks three months ahead, saving 80% of at-risk SME borrowers from default.

Through AI, DBS's automated, hyper-personalised nudges drove engaged users to invest four times more with the bank.

In 1Q2026, DBS's total income and net profit both inched up by 1% from a year ago to S$5.95 billion and S$2.93 billion, respectively. The results were led by wealth management and treasury sales.

ComfortDelGro (SGX: C52) – Driving the Future of Industrial Automation

Transport services provider ComfortDelGro reported a 13% increase in revenue to S$5.06 billion in 2025, driving profit after tax and minority interests (PATMI) up 9.4% to S$230.3 million.

ComfortDelGro is introducing autonomous vehicles (AVs) to its ecosystem, and the initiative has moved beyond the initial pilot into real-world deployments.

Starting with the launch of public AV shuttles in Singapore, ComfortDelGro's AV services now include China and London. Management has the end goal of transitioning 10% of ComfortDelGro's point-to-point (P2P) fleet to AVs by 2030.

That's not all.

Beyond AVs, ComfortDelGro has enhanced its core point-to-point technology platform with AI, enabling drivers to be efficiently matched with passengers through dynamic pricing, generating higher productive trips per driver.