Are you one of the 76% of Malaysian consumers thinking about switching car brands? A new report from Deloitte reveals a shift in the automotive market, with brand loyalty at a regional low as a flood of new players enters the scene.



Kevin Ohkohchi, Consumer Leader at Deloitte Malaysia, joins us to unpack the findings from their 2025 Global Automotive Consumer Survey. 



We discuss:


Why 76% of Malaysians plan to switch brands for their next vehicle.


The shift in preference back to hybrids over pure EVs.


The top criteria for Malaysian buyers: performance over price.


The key barriers to EV adoption: charging, time, and cost premiums.


How the end of CBU tax exemptions will likely shift the market to local assembly (CKD).

Are you one of the 76% of Malaysian consumers thinking about switching car brands? A new report from Deloitte reveals a shift in the automotive market, with brand loyalty at a regional low as a flood of new players enters the scene.Kevin Ohkohchi, Consumer Leader at Deloitte Malaysia, joins us to unpack the findings from their 2025 Global Automotive Consumer Survey.&nbsp;We discuss:<ul><li>Why 76% of Malaysians plan to switch brands for their next vehicle.</li><li>The shift in preference back to hybrids over pure EVs.</li><li>The top criteria for Malaysian buyers: performance over price.</li><li>The key barriers to EV adoption: charging, time, and cost premiums.</li><li>How the end of CBU tax exemptions will likely shift the market to local assembly (CKD).</li></ul>

Helping you navigate the ever-changing universe of business, from headlines to the bottom line

Helping you navigate the ever-changing universe of business, from headlines to the bottom line

Enterprise Explores

Why 76% of Malaysians Are Switching Car Brands

AI is changing how businesses operate and how they get attacked. Palo Alto Networks’ 2026 New Rules of Cybersecurity Report highlights six major shifts that will redefine cyber risk, from deepfake identity deception, rogue autonomous agents to data poisoning, quantum threats and even the browser becoming the new workspace.



We speak with Sarene Lee, Country Director for Malaysia at Palo Alto Networks, about what these predictions mean for Malaysian businesses, where the blind spots are, and how leaders can prepare to stay secure in the AI economy.

AI is changing how businesses operate and how they get attacked. Palo Alto Networks’ 2026 New Rules of Cybersecurity Report highlights six major shifts that will redefine cyber risk, from deepfake identity deception, rogue autonomous agents to data poisoning, quantum threats and even the browser becoming the new workspace.We speak with Sarene Lee, Country Director for Malaysia at Palo Alto Networks, about what these predictions mean for Malaysian businesses, where the blind spots are, and how leaders can prepare to stay secure in the AI economy.

Securing the AI Economy: What’s Coming in 2026

We are in the middle of an AI gold rush, driven by FOMO and massive capital expenditure. Yet, a recent MIT report reveals a startling statistic: 95% of Generative AI pilots fail to deliver measurable business impact. Why is the failure rate so high?



Prashant Kumar, Founder of Entermind, joins us to discuss his new white paper, "The Seven Original Sins of AI Investment."



He argues that the problem isn't the technology, it's the lack of "orchestration" between people, workflows, and data. We unpack why companies are failing to scale their AI pilots and why the next competitive moat won't be data, but human instinct and creativity.



We discuss:


The 95% Failure Rate: Why most AI pilots are built for demos, not the "messy reality" of the work floor.


Sin #1: The danger of forcing AI into legacy workflows instead of redesigning them.


Sin #4: "If you own the house, you are owned by the house", the trap of building everything in-house.


Sin #7: "Training brains you don't own", the risk of feeding proprietary data into public models.


The Future Moat: Why "Human Deviation" and empathy will matter more than data.

We are in the middle of an AI gold rush, driven by FOMO and massive capital expenditure. Yet, a recent MIT report reveals a startling statistic: 95% of Generative AI pilots fail to deliver measurable business impact. Why is the failure rate so high?Prashant Kumar, Founder of Entermind, joins us to discuss his new white paper, "The Seven Original Sins of AI Investment."He argues that the problem isn't the technology, it's the lack of "orchestration" between people, workflows, and data. We unpack why companies are failing to scale their AI pilots and why the next competitive moat won't be data, but human instinct and creativity.We discuss:<ul><li>The 95% Failure Rate: Why most AI pilots are built for demos, not the "messy reality" of the work floor.</li><li>Sin #1: The danger of forcing AI into legacy workflows instead of redesigning them.</li><li>Sin #4: "If you own the house, you are owned by the house", the trap of building everything in-house.</li><li>Sin #7: "Training brains you don't own", the risk of feeding proprietary data into public models.</li><li>The Future Moat: Why "Human Deviation" and empathy will matter more than data.</li></ul>

The 7 Sins of Enterprise AI Investment

We’ve spent the last two years learning to talk to AI. Now, we’re entering the era of "Agentic AI", systems that can plan, execute, and act on their own. But are we ready to manage digital employees and what happens if they make mistakes?



Huy Nguyen-Tuong, Managing Director at BCG, joins us to discuss the "Agentic Turn." He explains why adding AI to old workflows ("paving the cow path") is a recipe for disaster, how to balance supervision with autonomy, and why leaders must bring the "shadow workforce" of secret AI use into the light.



We discuss:


Agentic AI: The shift from AI that talks to AI that does.


The "Shadow Workforce": Managing the risk of employees using AI in secret.


Governance: Why humans must remain liable for agent actions.


Workflow Redesign: Why you need to rethink processes from scratch, not just automate them.


The Talent Trap: How to prevent the hollowing out of junior skills.



Image Credit: Shutterstock

We’ve spent the last two years learning to talk to AI. Now, we’re entering the era of "Agentic AI", systems that can plan, execute, and act on their own. But are we ready to manage digital employees and what happens if they make mistakes?Huy Nguyen-Tuong, Managing Director at BCG, joins us to discuss the "Agentic Turn." He explains why adding AI to old workflows ("paving the cow path") is a recipe for disaster, how to balance supervision with autonomy, and why leaders must bring the "shadow workforce" of secret AI use into the light.We discuss:<ul><li>Agentic AI: The shift from AI that talks to AI that does.</li><li>The "Shadow Workforce": Managing the risk of employees using AI in secret.</li><li>Governance: Why humans must remain liable for agent actions.</li><li>Workflow Redesign: Why you need to rethink processes from scratch, not just automate them.</li><li>The Talent Trap: How to prevent the hollowing out of junior skills.</li></ul>Image Credit: <a target="_blank" rel="noopener noreferrer nofollow" href="https://www.shutterstock.com/image-generated/neon-3d-image-agentic-ai-showing-2588129069?trackingId=9b413db0-ac68-4d14-96a4-02c0e5a8f1ba">Shutterstock</a>

Why 76% of Malaysians Are Switching Car Brands

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