My Say: IoT as a business growth engine in the age of AI

TheEdge Mon, Jan 19, 2026 03:24pm - 1 month View Original


This article first appeared in Forum, The Edge Malaysia Weekly on January 19, 2026 - January 25, 2026

Why is the Internet of Things (IoT) becoming one of the most decisive drivers of modern economies and why does it matter now?

Asking why IoT matters today is a bit like asking why a race car needs an extra turbocharger or equivalent technologies on board. You can already move fast. The engine is running. Growth is visible. Corporates are profitable; small and medium enterprises are expanding; and emerging economies like Malaysia are still enjoying forward momentum and an encouraging gross domestic product growth of about 4.5%.

But for how long?

Look closer and the air begins to change. Not a typhoon but something more subtle and dangerous: powerful sidewinds. Global competitors are lining up, eyes fixed on Asean as the next growth frontier. Asean will be the fourth largest economy in 2030 with more than 790 million people. Competitors are not arriving empty-handed. They come armed with data, artificial intelligence, digital platforms and smart, AI-driven IoT ecosystems that connect, learn and act in real time.

In this race, speed alone is no longer enough. Intelligence wins. Adaptability wins. Scale wins. And this is precisely where IoT, fused with AI, moves from being a technology topic to becoming an economic weapon.

From connectivity to competitive intelligence

In its early days, IoT was about visibility. Connect machines. Install sensors. Collect data. See what was once invisible. For many organisations, that alone delivered value, less downtime, better tracking and basic automation.

But in the age of AI, connectivity is merely the entry ticket.

When real-time IoT data is combined with machine learning and advanced analytics, systems stop reporting the past and start shaping the future. Machines predict failures before they happen. Supply chains reconfigure themselves on the fly. Energy systems balance demand and sustainability without human micromanagement. Operations evolve from reactive firefighting to self-optimising performance.

This is not incremental improvement. It is a structural shift. Let’s not react to this development but start driving it dynamically.

IoT, when powered by AI, becomes an engine for intelligence, autonomy and resilience. For companies competing across borders, this intelligence is no longer optional. Speed, efficiency and reliability have become baseline expectations, not differentiators.

Leadership today requires a “big-picture-first” mindset, designing systems that learn, adapt and scale globally rather than optimising only for local gains.

Malaysia’s digital momentum and its ‘next leap’

Malaysia has laid a solid groundwork. Industry 4.0 initiatives, smart manufacturing, AgriTech pilots and smart city programmes reflect real progress. The digital economy agenda is no longer theoretical; it is operational. Yet many IoT deployments remain inward-looking. They aim to reduce costs, improve compliance or increase efficiency within national borders. That’s useful but insufficient.

In the AI era right now, sustainable growth demands a bolder ambition.

IoT platforms must be designed from day one for interoperability, scalability and meeting international standards. How to be a part of the global league games? Only when Malaysian enterprises can integrate themselves seamlessly into global value chains, collaborate with multinational partners and, most importantly, export IoT-enabled solutions rather than one-off projects. Scale counts in the long term.

Growth today is no longer driven by physical expansion alone. It is driven by digital capabilities that scale effortlessly across markets.

IoT and the reinvention of business models

The most disruptive impact of AI-driven IoT is not operational; it is strategic. It rewires how businesses create and capture value.

Three shifts stand out:

1. From products to outcomes

Companies no longer sell machines; they sell performance. Uptime. Efficiency. Availability. IoT monitors — including predictive intelligence — assets continuously while AI optimises results. Revenue shifts from one-time sales to recurring, high-margin services.

2. Data as a global asset

IoT generates vast streams of data. When securely governed, anonymised and analysed, this data becomes a cross-industry currency, fuelling insights that extend far beyond the original use case.

3. Platforms, not pipelines

The winners are no longer standalone solution providers. They are platform orchestrators, enabling partners, developers and customers to co-create value within scalable ecosystems 24/7.

These models allow businesses to grow digitally rather than physically, more borderless than ever before, expanding reach while reducing capital intensity. That is the holy grail of modern economics.

Sectoral impact without borders

Manufacturing and Industry 4.0

AI-powered IoT enables globally connected factories with standardised quality, predictive maintenance and synchronised supply chains spanning continents.

Agriculture and food security

Precision farming solutions developed in Malaysia can be deployed across diverse climates, boosting yields, conserving resources and strengthening food resilience in emerging markets.

Healthcare and life sciences

Wearables, remote monitoring and AI-assisted diagnostics extend care beyond hospital walls. Healthcare becomes borderless, scalable and more equitable.

Smart cities and infrastructure

Traffic optimisation, energy efficiency and waste management solutions are not local experiments. They are exportable platforms for rapidly urbanising economies worldwide.

IoT, in this context, is not about technology adoption. It is about economic influence and long-lasting impact.

The hard truths executives must face

Scaling IoT across borders is not frictionless. Real challenges must be confronted head on:

● Cybersecurity and data governance: Trust is currency. Compliance across jurisdictions is non-negotiable.

● Interoperability: Fragmented, proprietary systems choke scalability.

● Talent: AI, data science and systems integration capabilities must be embedded into long-term strategy.

● Return on investment: IoT must move beyond endless pilots and tie directly to measurable business outcomes.

These are not IT issues. They are boardroom decisions.

Policy, partnerships and the power of ecosystems

No organisation scales globally in isolation. Success depends on alignment with international standards, forward-looking digital policies and strong public–private partnerships.

Collaboration with global technology ecosystems, participation in regional digital trade frameworks and openness to co-innovation accelerate adoption while reducing risk.

In the AI-driven economy, ecosystems outperform empires. What and how to achieve it?

Exporting intelligence, not just products

In the age of AI, IoT is no longer a supporting infrastructure; it is strategy.

The next decade will belong to organisations that embed intelligence into everything they connect, design for global scale from the outset and use IoT to reinvent how value is delivered.

For Malaysia, the opportunity is clear. Not merely to digitalisation locally but to export intelligence and powerful solutions globally.

Those who see beyond boundaries, embrace a true “big-picture-first” mindset and treat IoT as a growth engine rather than a technology project will lead the next wave of innovation, resilience and sustainable economic power.

The race has already started. The IoT turbo is ready.

How to turn all this into reality? My advice: Let’s go digital the IoT way forward and let’s win the long game, not just the prize around the corner.


Tan Sri Rainer Althoff is a strategic consultant on global digital transformation and a former CEO of Siemens Malaysia

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