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Consumer Goods Leaders Urged to Treat AI as Enterprise Mandate, Not IT Initiative

Asia Pacific

Consumer Goods Leaders Urged to Treat AI as Enterprise Mandate, Not IT Initiative
Asia Pacific

Asia Pacific

Consumer Goods Leaders Urged to Treat AI as Enterprise Mandate, Not IT Initiative

2026-06-25 17:00 Last Updated At:17:12

HONG KONG SAR - Media OutReach Newswire - 25 June 2026 - Speaking at the Global Summit of the Consumer Goods Forum, Dr Malina Ngai, Group CEO of AS Watson, shared a clear message to industry leaders: AI transformation is not an IT programme - it is a CEO mandate.

Consumer Goods Leaders Urged to Treat AI as Enterprise Mandate, Not IT Initiative

Consumer Goods Leaders Urged to Treat AI as Enterprise Mandate, Not IT Initiative

Presenting on the subject "CEO AI Playbook" for retailers and manufacturers, Malina shared that while many organisations have identified AI use cases, few have addressed the real barrier to scale: culture and system design.

"AI does not transform companies. Leaders do," said Malina. "Culture moves when everyone moves. If AI sits in IT, it fails. If every function moves together, it scales."

From Pilots to Enterprise Synchronisation

Consumer Goods Leaders Urged to Treat AI as Enterprise Mandate, Not IT Initiative

Consumer Goods Leaders Urged to Treat AI as Enterprise Mandate, Not IT Initiative

Malina challenged the traditional cascade model - CEO to IT to training to business units - calling it too slow for today's environment.

Instead, she outlined a CEO-led synchronised approach in which all businesses and functions adopt AI simultaneously, supported by IT and HR. AI is horizontal, not vertical. Everyone moves in parallel, embedding AI directly into workflows, decisions, and performance management.

"This is not about experimentation at the edges," Malina said. "It is about enterprise-wide execution."

Redefining ROI: From Static Returns to Compounding Value

Consumer Goods Leaders Urged to Treat AI as Enterprise Mandate, Not IT Initiative

Consumer Goods Leaders Urged to Treat AI as Enterprise Mandate, Not IT Initiative

"Traditionally, we start with a defined investment. We build a business case, implement the solution, and drive initial adoption. Once deployed, we measure productivity gains and calculate ROI. The focus is on achieving a fixed financial return within a set timeframe. Value is captured once - not compounded."

"In AS Watson, we begin with Value Creation - identifying high‑impact AI use cases aligned to strategy in each function. Once value is proven, we drive Adoption across workflows to embed it operationally."

"As adoption deepens, we achieve Value Scaling - expanding across functions, geographies, and additional use cases . That leads to measurable Value Realisation which funds and accelerates the next wave of value creation. This is how ROI becomes compounding value."

The Agility Equation

A central moment of the keynote was the introduction of a simple formula:

Agility = Acceleration – Friction

Acceleration comes from technology investment and ambition. Friction comes from complexity, silos, slow decision rights, and misaligned incentives.

"Agility is not a talent issue. It is not a capability issue, not a software issue," Malina said. "It is a leadership choice and a system design issue."

She opined that most companies overinvest in acceleration while underinvesting in friction removal - leaving AI initiatives stalled in pilots rather than scaled across the enterprise.

"The question is not how to add more speed," she said. "It is what friction leaders are willing to remove."

A CEO Agenda

Closing the session, Malina positioned AI as a defining leadership test for the industry.

"AI will not transform the company because you bought it. It will transform your company because you led it."

"The return on AI doesn't come from the tool. It comes from the courage to change how the company works."

"GenAI will not just change how retailers and manufacturers work — it will change how we work together."

"Retail will become more human, not less. Technology will be invisible. Customers will remember how we made them feel, not how advanced our systems were."

In an environment defined by margin pressure, supply chain volatility, and shifting consumer expectations, the message resonated clearly: AI-driven agility is no longer optional - it is structural.

Hashtag: #ASWatson

The issuer is solely responsible for the content of this announcement.

About AS Watson Group

Established in 1841, AS Watson Group is one of the world's longest-standing and most recognised retail companies with roots in Asia. Today, the company operates over 17,000 stores across 12 retail brands in 31 markets, employing 130,000 people globally. This makes AS Watson Group the largest international health and beauty retailer in the world.

In the fiscal year 2025, AS Watson Group reported revenue of over US$26 billion. The company's technology-enabled O+O (Offline plus Online) platforms serve over 6 billion shoppers annually, seamlessly integrating physical and digital retail experiences.

AS Watson Group supported over 180 charitable and non-profit organisations every year, dedicating over 40,000 hours of volunteer work to serve over 370,000 people in need in our operating markets.

AS Watson Group is also a member of the world-renowned multinational conglomerate CK Hutchison Holdings Limited, which has four core businesses ‐ ports and related services, retail, infrastructure and telecommunications in over 50 countries.

Please visit for more information.

** This press release is distributed by Media OutReach Newswire through automated distribution system, for which the client assumes full responsibility. **

HONG KONG SAR - Media OutReach Newswire - 25 June 2026 - Recently, SCNet.AI (www.scnet.ai) headquartered in Hong Kong has officially launched as a global AI&HPC computing service platform. With an e-commerce-style operational model, the platform redefines how AI for Science (AI4S) computing resources are accessed, enabling researchers worldwide to access AI, supercomputing applications and diverse compute resources as seamlessly as online shopping.

Putting Scientific Research Agents Within Reach — SCNet.AI Accelerates AI4S Innovation Powered by AI & HPC

Putting Scientific Research Agents Within Reach — SCNet.AI Accelerates AI4S Innovation Powered by AI & HPC

Simplifying Innovation: From Bioinformatics to Industrial Simulation

SCNet.AI is positioned to bridge supply and demand for computing resources and unify an ecosystem of research software, delivering user-friendly research computing and scientific large model innovation environments for global research institutes, enterprises and independent developers.

SCNet.AI covers three core research scenarios:

  • Life Science & Bioinformatics: Tailored for biopharma firms and universities;
  • Industrial Manufacturing: CFD fluid simulation and FEA finite element analysis for automotive and semiconductor sectors;
  • Physical & Chemical Research: Molecular dynamics simulation for researchers in materials and new energy sectors.

Built around the integrated development philosophy of "data, computing power, models and applications",SCNet.AI addresses pain points of open-source large models including difficult deployment, high usage costs and complicated adaptation, and provides end-to-end technical support from environment deployment to task tuning, substantially lowering the operational barrier for researchers to access AI4S computing resources.

E-commerce-style Operational Model: Instant Access & Elastic Scheduling

SCNet.AI's standout innovation lies in its proprietary AI4S application marketplace model. Much like mainstream e-commerce platforms that connect physical goods buyers and sellers, SCNet.AI matches computing power, datasets, research models and industry applications with researchers.

This model delivers three distinct competitive advantages:

  • Instant on-demand access. All software is delivered via SaaS, while research AI agents are deployed under MaaS. Users can run tools online after subscription without local downloading, installation or maintenance.
  • Elastic scaling. Computing resources can be precisely allocated on demand for workloads ranging from simulation calculations to large model training.
  • Unified innovation ecosystem. Beyond being a computing power trading hub, SCNet.AI serves as a global collaborative platform for scientific research and innovation.

Currently, hundreds of premium applications, datasets and model products have already been listed on the platform. Users can select research applications on demand just like browsing an e-commerce site, eliminating the need to build in-house computing clusters or hire dedicated operation and maintenance staff. Simple registration unlocks full access, drastically cutting the overall hidden AI4S cost.

To lower entry barriers for researchers worldwide, SCNet.AI offers a complimentary resource kit for all newly registered users, including 10M Tokens, 100 GPU Hours (AI Inference) and 100 CPU Core Hours (HPC). These resources can support dozens of inference runs for mainstream foundation models, lightweight model fine-tuning, or complete end-to-end CFD and molecular dynamics simulation experiments.

This promotion is valid from June 23 to July 23, 2026 and open exclusively to first-time registrants. Each new account entity is entitled to claim the resource kit only once. All redeemed resources expire 90 days after collection. Quantities are limited and will be distributed on a first-come, first-served basis until exhausted.

For full information, please visit our official website at www.scnet.ai.

Hashtag: #SCNet.AI

The issuer is solely responsible for the content of this announcement.

** This press release is distributed by Media OutReach Newswire through automated distribution system, for which the client assumes full responsibility. **

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