Minds

CEO & Founder

Mindvalley

Certified Life Coach

Leathwaite: Executive Search

Asia Strategy & Transformation Practice

True Search

Partner, Greater China Country Lead

H.I. Executive Consulting (HIEC)

Partner, APAC Professional Services Practice

VCube International

Founder and Partner

Alcoa

Director of Strategy and Analysis, Asia-Pacific

Roland Berger

Deputy Project Manager/Senior Consultant, Consumer & Retail and Technology

A.T. Kearney

Business Analyst, Financial Services

Gavin is a transformtional leader in executive search and personal coaching, renowned for his expertise in elevating senior leadership in high-growth start-ups and scale-ups. Collaborating with private equity, venture capital funds, and founders across Asia, Gavin delivers strategic talent insights and pioneering thought leadership.

With an illustrious career that includes conducting over 20,000 executive interviews, Gavin’s mastery in talent identification and influence has driven the success of global companies like McKinsey & Company, L Catterton (LVMH), Accenture and Permira.

Gavin’s passion for connecting with people and unveiling their unique stories led him to establish "Empower Through Stories", an initiative that inspires and motivates the next generation of leaders through powerful narratives. 

An alumnus of Stanford and the University of Chicago, Gavin’s global experience spans the US, Italy, Singapore, China, and Thailand. His leadership continues to set benchmarks in excellence, innovation, and influence in the industry.

Email: gavin@mindssearch.com
IG: gavng89

Gavin Ng

I had an amazing conversation with Creasoft Capital — and it’s one every founder should pay attention to - 

Entrepreneurship and the quiet costs that rarely make it into public conversation.

According to a study by UCSF, entrepreneurs are nearly twice as likely to experience burnout and chronic stress compared to the general working population.

And McKinsey & Company  projects that 30–45% of tasks will be automated by AI, which sounds exciting — until you realise automation doesn’t reduce demands on your mind.
Sometimes it increases them.

Decision fatigue.
Constant adaptation.
Th pressure to lead a team through a landscape that shifts every quarter.

So here’s the real question for founders:

What happens to your energy, clarity, and mental resilience when your business, your people, and the world all fight for your attention at the same time?

That’s what Wajeeh H. and I explored — the true cost of entrepreneurship in an AI-driven decade.

🎧 Podcast is on the way.

Stay tuned.

Gavin

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#entrepreneurship #founders #AIfuture #mentalhealth #leadership #thecostofit

Investor | Founder | Executive Search Leader | Coach

No alternative text description for this image

Meta just quietly signalled what every employee and leader needs to hear:
your future performance won’t just be what you do, but how much AI amplifies it.

From 2026, Meta will tie employee performance to “AI-driven impact.”

Not “Did you use AI?”
But: Did AI materially move your results?

Employees are being told to:

Use AI in day-to-day work.
Capture AI-fuelled wins in self-reviews.
Expect performance systems (and even review-writing) to be AI-assisted.

This isn’t just a Meta story.
It’s a preview of where performance culture is going.

Here’s what stands out to me:

🧠 AI literacy is shifting from “nice to have” to “core expectation.”
The question is no longer “Should I use AI?”
It’s “How irresponsible is it not to?” — especially in knowledge work.

⚡️ Performance is moving from effort-based to leverage-based.
It’s not just: “Did you complete the work?”
It’s: “How much did you use AI to multiply speed, quality, and output?”

🧩 The real differentiator won’t be AI access—it’ll be AI habits.
Everyone will have tools.
Few will build daily workflows: prompts, automation, internal copilots, AI-assisted thinking.

🚀 Companies are formalising an AI-native culture, not just AI tools.
When AI shows up in scorecards, hiring, promotion criteria, and even how reviews are written…
it stops being innovation and becomes muscle memory.

If you’re an employee, manager, or founder, here’s what I’d start doing now:

1️⃣ Rebuild your personal performance philosophy around leverage, not effort

Stop thinking in terms of “tasks completed” or “hours invested.”
Start thinking in terms of:

What did I accelerate?
What did I automate?
What quality did I improve?
What decision became sharper because of AI?

Your career advantage will come from showing compounding leverage, not incremental output.

2️⃣ Redesign your core workflows so AI becomes infrastructure, not an add-on

Pick 2–3 workflows that define your role: analysis, communication, research, reporting, client prep, project management.
Then ask:

Where can AI remove steps?
Where can it take the first draft?
Where can it pressure-test my assumptions?
Where can it replace low-value cognitive load?

Employees who make AI invisible (because it’s embedded everywhere) will outperform those who treat it as a tool they “use occasionally.”

3️⃣ Build a visible “AI impact narrative” — not a usage narrative

Management doesn’t care that you used AI.
They care what AI changed.

Create a simple track record you can point to:

Faster delivery cycles
Higher accuracy
Reduced manual work
Stronger client-facing outputs
Better decision frameworks
More scenarios explored per unit time

Now - What's the one thing that AI can meaningfully improve your performance?

- Gavin 

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#ai #executivesearch #aitalent

You don’t need the title “Head of AI.”
You just need one AI success metric.

In the past month, 3 mid-career professionals asked me the same quiet question:

“What can I possibly do next?
The job market pivots to AI. 
My skills feel… falling behind.”

They weren’t wrong.
AI has reshaped the talent market.
And many were never trained to use it.

But here’s the part most people misunderstand:
Recruiters aren’t looking for AI titles.
They’re looking for proof that you can deliver impact in an AI-enabled world.

Last week, I coached a senior corporate exec from a logistics company who felt “outdated.”
His CV said “AI Project Lead.”
But zero numbers. Zero proof.

We rewrote one line:

“Reduced onboarding time by 40% through AI automation.”

Within 2 weeks, his response rate tripled.

He didn’t become more “AI.”
He simply showed he could use AI to drive real business results.

That’s what the market rewards.

Because concrete metrics beat shiny titles every time.

More importantly — talent branding has shifted.
Your value is no longer your job title.
Your value is the impact you can prove.

Here’s the paradigm shift:

You don’t need to master AI.
You need to show how AI makes you more valuable.

And you can start small.

Here’s how to build your first AI success metric — even if you’re not technical:

1️⃣ Choose one task where AI can help you work faster.
Pick something you already do — drafting emails, analysing data, summarising meetings.
AI upgrades you.
This is your easiest path to a measurable win.

2️⃣ Use AI to reduce the time by 20–40%.
Ask AI to generate drafts, automate steps, or summarize.
Small wins count — they prove productivity.

3️⃣ Measure what changed.
Track minutes saved, errors reduced, or turnaround speed.
Numbers make your story credible.

4️⃣ Turn it into one CV bullet.
Grade-5 English.
Specific.
Impact-focused.

Like:
“Cut reporting time from 3 hours to 45 minutes using AI-assisted workflows.”

5️⃣ Update your LinkedIn intro with that one metric.
Leaders and investors notice people who can deliver, not just talk about AI.

This is how mid-career professionals stay relevant.
Not by chasing new titles — but by proving real-world value.

What’s one AI result you could show if someone asked you today for proof of impact?

– Gavin

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#CareerGrowth #Executivesearch #AI #mindssearch #ExecutiveCoaching

In Asia, I’ve watched great founders turn defensive, even destructive, when investor alignment broke down.

The first argument between founders and investors rarely happens in the boardroom.

It happens in the spreadsheet.
Revenue forecasts. 
Burn rates. 
Valuation and exit pressures.

The founder sees vision.
The investor sees math.
Both are right — and both are looking for a common ground.

Here’s the deeper truth:
Most founder–investor conflicts aren’t just about results.
They’re about rhythm.

The founder is playing the long game — obsessed with legacy, momentum, and the next horizon.
The investor is reporting quarterly — focused on discipline, clarity, and protecting capital.

One’s driven by conviction.
The other by validation.

The best founders learn to measure progress without shrinking their dream.
The best investors I’ve seen translate ambition into accountability — without killing belief.

5 practical moves to achieve this goal:
1. Translate Vision into Metrics
Sit down quarterly. Founder leads the “why.” Both define the “how to measure.”
Walk out with one shared story, two columns: vision + KPIs.

2. Build Dual Dashboards
Run two scoreboards side-by-side:
• Growth (users, brand, expansion)
• Governance (burn, margin, cash)
Review both monthly — no decision if one goes dark.

3. Agree on Non-Negotiables
Founders list 3 red lines (e.g. no mission dilution).
Investors list 3 (e.g. no governance blind spots).
Put it in writing — revisit every 6 months.

4. Hold Pulse Checks
15-minute sync mid-quarter.
No slides. One question:
“Are we still aligned on rhythm?”
Prevents big misalignment later.

5. Co-Author the Narrative
After each board, founder writes vision, investor writes evidence.
One internal memo — one message.
Story + numbers = trust.

But rhythm is a choice.
You can always choose to tune before the music stops.

- Gavin

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#asialeadership #executivesearchforfounders

This chart puts a visual to the quiet anxiety a lot of us are feeling right now.

For decades, the formula was simple: Corporate growth equals hiring. 

When the S&P 500 went up, job openings followed. They synchronized.

We are witnessing the "Great Decoupling." in real time. 

The S&P 500 is roaring to new heights, driven by efficiency and AI optimism, while total job openings are freefalling back to pre-pandemic levels.

What does this mean for us as professionals?

It means the future isn’t just unequal; it’s sharply "K-Shaped." he "K" represents a split in how we work and how our value is measured.

🔹 The upward arm of the 'K': Professionals and companies using AI to decouple their output from their headcount. They are achieving exponential efficiency. Growth is no longer labor-dependent; it's capital and compute-dependent.
🔹 The downward arm of the 'K': Roles defined by repetitive cognitive tasks, or professionals waiting for the "hype to blow over." The chart shows the market no longer values this labor at the same rate.

The debate isn't "Will AI create more jobs than it destroys in 20 years?" The reality is today. Today, companies are realizing they can grow massive value without massive hiring.

If you are reading this as a knowledge worker, this may be a wake-up call. The middle ground is vanishing.

Actionable Insights for the K-Shaped Future:
🚀 Stop being a "user" and become a "leverager." 
Don't just ask ChatGPT to summarize an email. Use AI to redesign your entire workflow to be 10x faster. If your output is tethered to your hours worked, you are vulnerable.

🔍Audit your role for automation risk. 
Be honest. What percentage of your week could a sophisticated agent handle in 2 years? If it’s over 50%, pivot immediately to strategy, complex human relationship management, or high-level creative synthesis.

🤝 Become the "Human-in-the-Loop" expert. 
The upward arm of the K belongs to those who can orchestrate AI systems, audit their outputs for hallucinations, and apply high-judgment ethics to machine decisions.

The link between growth and jobs starts to break. Which side of the break are you standing on?

- Gavin

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#ArtificialIntelligence #executivesearch

When humanoid robots clean skyscrapers and load aircraft, what happens to the ‘entry-level job’?

Three headlines this week hit me harder than usual:
✈️ Amsterdam is testing robots for aircraft ground operations.
🏙️High-rise façade-cleaning robots are now commercially deployed in Asia.
⚙️Yamaha expanded its industrial robot line — longer reach, faster cycles, more flexible form factors.

Individually, these are cool engineering stories.
Together, they signal something larger:

The ‘first job’ in many industries is quietly disappearing.
Not in a dramatic Hollywood way.
But in the slow, economic way that reshapes a labour market before people realise what happened.

Because here’s the uncomfortable truth:
Technology doesn’t remove jobs — it removes the starting point of a career ladder.

And when the bottom rung disappears, the entire pathway above it must be rebuilt.

And the deeper truth emerging from these signals is this:

🤖Automation enters through the work humans avoid… but exits through the work humans thought they owned.
Cleaning buildings wasn’t a “career destination,” but it was a pathway upward.
When the pathway automates, the middle weakens next.

⚠️We’re not moving into a labour shortage—we’re moving into a skills misalignment crisis.
Japan needs robots because workers are disappearing.
ASEAN will have workers—but not enough robot-literate ones.

🔀 The divide won’t be humans vs robots—it will be humans who can work with robots vs those who can’t.
A cognitive divide.
A workflow divide.
A judgement divide.

🧩 The real competitive advantage won’t be robot hardware—it will be the ecosystem around it.
Robot OS, predictive maintenance, safety layers, orchestration software, industry-specific modules—
this is the “AWS of robotics,” and someone will own it.

In your industry, which entry-level role in your industry will automation quietly absorb first — and what new pathway replaces it?

- Gavin
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The Hidden Role of Executive Search in Scale-ups

Executive search in a scale-up isn’t about recruitment.
It’s about risk management.

When a company hits Series B or C, every new leader either protects enterprise value — or destroys it.

I’ve sat on both sides:
The founder wants someone who “gets it.”
The investor wants someone who can run it.
And somewhere between those two worlds is the person who can actually scale it.

In one Series C search, the brief wasn’t “Find me a CEO.”
It was “Find me someone the founder can trust — and the board can believe in.”

Skills were easy to check.
But the real test was chemistry, emotional maturity, and timing.
Because you’re not just hiring for execution —
you’re designing the next phase of governance.

What Smart Founders and Investors Do Differently ⚙️

1️⃣ Define the next chapter, not just the role.
Clarity on where the company is going shapes who you need — not the other way around.

2️⃣ Hire one phase ahead.
The best leaders can handle the next 18 months, not just the current quarter.

3️⃣ Run the founder–fit test early.
Don’t wait for chemistry issues post-hire — build trust during the search.

4️⃣ Split ownership clearly.
Founders lead vision, new hires lead systems — and both report truth to the board.

5️⃣ Onboard with alignment, not paperwork.
Use the first 60 days to sync culture and expectations — not just sign contracts.

The best searches don’t replace founders — they protect what made them and the company successful.
Hire for continuity.

- Gavin

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#executivesearch #scaleupleadership

If AI is part of your fund raising pitch, investors only want to know one thing:
“Does this make your business more repeatable, or more replaceable?”

I sit with a lot of early-stage founders across Asia, and there’s a pattern I’m seeing more often now.
They come in with ambitious ideas, clean slides, early success and a long list of AI features.
But when we move into the business model, very few can explain how AI might actually strengthen the engine of the company.

Not the vision.
Not the narrative.
The engine.

Last week, a founder walked me through a pitch that looked great on the surface.
But as we discussed their operations, it became clear that the AI was more decoration than discipline.
It didn’t deepen their defensibility.
It didn’t increase output consistency.
It didn’t reduce dependence on human judgment.
It was simply there, like a new coat of paint over the same old wall.

And that’s the skepticism many investors feel today.

We’re no longer asking whether AI is there.
We’re asking whether your business can survive when AI becomes a commodity — because in many categories, it already is.

A single engineer with vibe coding can now rebuild half of what used to be considered a SaaS product.
Features are less important.
Repeatability is key.

The founders who get investor trust are the one who can walk investors through a workflow and point to the exact place where AI improves speed, accuracy, or consistency — and then tie that directly to cost, margin, or scale.

When AI reduces variance, that’s repeatability.
When AI removes friction, that’s repeatability.
When AI shifts work from intuition to process, that’s repeatability.
And repeatability is what investors underwrite at early stage — because it’s the only signal that the business can grow without collapsing under its own weight.

How to make your investor deck “AI-repeatability ready”

1️⃣ Add a “Before vs After AI” slide

Show the exact process today vs. the AI-enhanced version.
Use simple numbers.
People understand contrast more than concepts.

2️⃣ Quantify one metric that moves

It can be delivery time, onboarding hours, churn, accuracy, or CAC.
One number is better than ten assumptions.
Keep it real, even if it’s early.

3️⃣ Explain why AI makes the process repeatable (solving a pain point)

Say it plainly:
“What used to depend on human judgment now depends on a system.”
Repeatability reduces risk — and investors invest to reduce risk.

4️⃣ Pressure-test the idea with a non-technical audience

If they can’t explain back how AI helps, you’re still speaking jargon.
Clear storytelling beats technical depth.

Your next investor meeting will go very differently depending on that answer.

– Gavin

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#StartupPitch #InvestorDeck #AIValue #StartupInvestment #GrowthStrategy

The Fragile Middle (0→1 vs. 1→10 vs. 10→100)

Most startups don’t die at zero.
They die in the middle.

At 0→1, everyone’s a builder.
Speed matters more than structure.
You hire missionaries, not mercenaries.
Every win feels like a miracle.

At 1→10, momentum arrives.
You start hiring specialists, building functions, tightening focus.
Meetings appear. Processes emerge.
Chaos slowly gets organized.

At 10→100, the business demands systems.
Governance, predictability, structure — everything investors love.
But that’s when something else breaks.

I’ve helped companies move from startup to scale-up, then to growth, and eventually pre-IPO.

And the most fragile stage isn’t the start —
it’s that messy, awkward scale-up → pre-IPO transition (10→100).

Because that’s when:

The company outgrows its early heroes but hasn’t yet attracted institutional leaders.
Every process feels half-built.
Everyone’s learning on the job — under investor pressure.

It’s long, scrappy, and brutally exposed.
Because for the first time, you’re building the plane while flying toward the runway.

That’s why this stage kills momentum more often than the early chaos.
The skill set that got you here — creativity, speed, hustle — now needs to evolve into discipline, clarity, and governance.
And most teams underestimate that evolution.

Here are 5 ways to navigate the messy middle 🚀
🔥 1. Build your bridge team.
Hire a few people who’ve scaled before — they’ll turn chaos into order without killing speed.

🧭 2. Write things down early.
Don’t wait to “get organized later.”
Document what works now so new hires don’t start from zero.

⚙️ 3. Balance growth and control.
Keep chasing growth, but make sure someone’s watching burn, cash, and compliance.

🧩 4. Make board talks useful.
Stop reciting updates — talk about what’s changing, what’s breaking, and what help you need.

💬 5. Communicate more than feels necessary.
The moment you think “everyone knows,” they don’t.
Keep repeating direction until it sticks.

What stage are you really leading right now: 0→1, 1→10, or 10→100? What's that one small win you can get this month. Small wins compound faster than perfect plans. 

- Gavin

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#scaleupgrowth #executivesearchforfounders

I love the positivity in this.

A young engineer getting recognised because her actions mattered more than her volume.

If AI can help leaders spot quiet, consistent, high-integrity contributors… that’s a future I’m excited about. 😊

No.1 Tech Voice to Follow & Influencer on LinkedIn|Award Winning Author|AI-IoT-Blockchain-Cybersecurity|Speaker|61k+

Google co-founder Sergey Brin ran an unusual experiment inside an internal company chat by asking #Gemini which participant deserved a promotion.
Instead of selecting senior or outspoken employees, the AI highlighted a young woman engineer who was rarely vocal but consistently contributed.
After reviewing Gemini’s suggestion, leadership approved her promotion.
The incident underscores how AI systems may surface overlooked talent that traditional performance reviews often miss.

We have 2 years before everything changes.

Not 10.
Not 5.
But 2.

I watched Steven Bartlett's new hashtag
#doac episode today, and it hit me harder than I expected.

Because the truth is — many people think AI is a “future nice problem" to have, which we would enjoy the increased productivity, accessibility to better and cheaper services and goods. 

And here’s the part people don’t want to hear:
What's the "trade" when we are opt in to this future?

Love the the balanced, real perspectives on our near future discussed in this episode. 

If you watch one thing this week, watch this:
https://lnkd.in/gfRwuiDA

This will shift how you think about the next two years — and why the real disruption is happening sooner than we think.

- Gavin

https://lnkd.in/gWDXuzqj

Open video: AI Expert: We Have 2 Years Before Everything Changes! We Need To Start Protesting! - Tristan Harris on youtu.be

AI Expert: We Have 2 Years Before Everything Changes! We Need To Start Protesting! - Tristan Harris

Helen Yu

CEO @Tigon Advisory Corp. | Host of CXO Spice | Board Director |Top 50 Women in Tech | AI, Cybersecurity, FinTech, Insurance, Industry40, Growth Acceleration

As the founder and CEO of Tigon Advisory, I help tech companies of all sizes multiply their growth opportunities by leveraging AI, cybersecurity, IoT, supply chain, and customer experience. With over a decade of technology industry experience, I offer CXO-as-a-service and guidance to organizations through digital transformation, strategic planning, enterprise risk management, go-to-market optimization, and influencer marketing.

I have worked with enterprise clients such as SAP, IBM, Salesforce and Microsoft, as well as B2B SaaS, Fintech, Insuretech, and Martech startups. I also serve as an independent board director and a venture capital advisor, where I bring a unique perspective on technology thought leadership, cybersecurity risk management, go-to-market strategy, and customer experience. I am a certified cybersecurity expert from MIT Sloan School of Management, an MBA from Loyola University of Chicago, and a respected industry thought leader, a Wall Street Journal best selling author, a keynote speaker, and a host of CXO Spice podcast. I am passionate about empowering and mentoring the next generation of technology leaders, especially women and minorities.

Director Board of Directors

CEC is a security service integrator with focus markets in manufacturing, healthcare, SLED and Corporate Campus.  Customers with complicated organizations and physical plants rely on CEC as extensions of their teams in making strategic investment and management decisions related to their technology and infrastructure. I serve as Culture and Compensation Committee Chair. 

How do you ensure autonomous vehicles are safe when you can't possibly test every real-world driving scenario?

At NVIDIA GTC, I explored AI-powered autonomous vehicles and discovered NVIDIA Halos, a comprehensive safety system that's redefining how we approach this challenge.

Here's how Halos solves this challenge:
✅ Photorealistic virtual simulations generate countless driving scenarios
✅ AI-powered contingency plans activate when anomalies are detected
✅ Continuous monitoring ensures safety and reliability

Three-Pillar Validation Approach:
✅ NVIDIA DGX for AI development with advanced curation workflows that filter out undesirable behaviors before they ever reach the road
✅ Omniverse with Cosmos for photorealistic simulation, generating massive variations in our safety test data
✅ DRIVE AGX for deployment, where modular redundancy ensures safety even when AI models show uncertainty

Industry Recognition:
✅ First AI systems lab to earn ANAB and TÜV certification
✅ Internationally certified technology for end-to-end AV safety

Complete Safety Stack:
✅ A2le-decertified Drive OS and automotive-grade hardware
✅ Modular redundant architecture with third-party validation
Every layer designed to handle critical driving tasks safely

The future of autonomous vehicles is certified and validated safety systems.

#AutonomousVehicles #AI #Safety #NVIDIAGTC #AVDevelopment #Innovation 

To stay current with the latest trends in #Technology and #Innovation, Subscribe to 👉 #CXOSpiceNewsletter https://lnkd.in/gy2RJ9xg Or 👉 
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What happens when a founder’s first job shapes a billion-dollar comeback story?

That question has been on my mind as I’ve watched Mukund Jha’s journey unfold.

Back in 2005, he told a friend he wanted to work at Google.
By 2009, he was there.
And that early training ground left a specific imprint; an instinct to build from first principles, an obsession with stability, and a refusal to take shortcuts even when the entire market is sprinting.

You can see that philosophy running straight through Emergent.
And today, it came full circle: Google’s AI Futures Fund invested in Emergent.

Foundations set the direction; results reveal the discipline.
Here’s what that discipline looks like in practice:
✅ 2.5M+ builders in just 5 months
✅ One of the fastest runs to $25M ARR in the AI platform space
✅ 3M+ production-ready apps shipped
✅ Native backend infrastructure with zero third-party dependencies
✅ Users migrating from competitors citing “unmatched stability”

If you’re curious to explore what he’s built, here’s a link with 20% off:
emergent.sh/?via=gff20 (code: GFF20)

Stay current with the latest trends in #Technology and #Innovation,
Subscribe to 👉 #CXOSpiceNewsletter https://lnkd.in/gy2RJ9xg
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What will separate AI leaders from AI laggards in 2026?

Pleased to contribute to the 2026 DATAcated Trends & Predictions Report, and the insights from 14 data and AI leaders point to a transformative year ahead.

My prediction? AI agents evolve from tools to true workplace teammates.

In 2025, we saw AI become multimodal - processing text, images, and voice simultaneously. Agentic AI systems began handling complex multi-step tasks autonomously, with reasoning models showing dramatic problem-solving improvements.

Here's what I see for 2026:
✅ AI agents as colleagues - Independently managing projects and workflows end-to-end
✅ Real-time data processing becomes critical - AI systems require continuous learning from live streams
✅ Synthetic data generation explodes - Addressing data scarcity for specialized training
✅ Federated learning scales - Training across distributed datasets without compromising privacy
✅ Data governance intensifies - Lineage tracking under regulatory pressure
Organizations treating data as dynamic fuel will be the ones that thrive.

Special thanks to Kate Strachnyi and DATAcated for assembling perspectives from Cassie Kozyrkov, Marinela Profi, Bernard Marr, Lara Sophie Bothur, Stijn (Stan) Christiaens, Christina Stathopoulos, MSc, Serena H. Huang, Ph.D., Helen Yu, Pascal BORNET, Jess Ramos ⚡️, Kristen Kehrer, Andreas Kretz, Sadie St Lawrence.

👉 Download the full report FREE: https://lnkd.in/eMevgwDH

What are you most excited about for AI in 2026?

#AITrends2026 #CIO #CTO #CEO #BoardDirectors #Data #AI

To stay current with the latest trends in #Technology and #Innovation, Subscribe to 👉 #CXOSpiceNewsletter https://lnkd.in/gy2RJ9xg Or 👉 #CXOSpiceYouTube here https://lnkd.in/gnMc-Vpj

2026 AI Trends & Predictions

How do you deploy AI infrastructure before the AI systems even arrive?

Schneider Electric's new reference designs, co-engineered with NVIDIA, provide the answer.

Industry-First Controls Framework Bridges OT and IT systems through standardized MQTT architecture, enabling seamless interoperability between power management, liquid cooling, and NVIDIA Mission Control. Real-time optimization across every layer of the stack.

NVIDIA GB300 NVL72 Reference Design Supports rack densities up to 142 kW with validated frameworks for the next-generation Blackwell Ultra architecture. Digital twin capabilities through ETAP and EcoStruxure IT Design CFD enable pre-deployment simulation.

The focus on redundancy, power quality monitoring, and validated engineering directly addresses the industry's deployment bottleneck.

I look forward to attending Schneider Electric's Innovation Summit in Las Vegas next Tuesday and Wednesday, touring their switch data center and examining these solutions firsthand.

Watch the keynote: https://lnkd.in/gxuRQGjm
#Energy #Tech #AI #Grid #Automation #DataCenter

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How prepared is your organization to bounce back when an AI-driven disruption hits?

That’s the focus of my latest CEO newsletter, following Commvault Shift Virtual, where I outlined why AI resilience is becoming a top priority for executive teams and boards.

AI is accelerating decision-making, increasing identity complexity, and tightening the margin for recovery. Resilience is a strategic imperative.

In the newsletter, I break down the shift toward Commvault Cloud Unity and Resilience Operations (ResOps), and why unifying security, identity, and recovery is essential for organizations building on AI.

👉 Read the full newsletter for the board-level perspective and what this means for the years ahead. Watch the replay here: https://lnkd.in/gN6WmZ9C

What’s the biggest AI-resilience concern on your radar right now?

#CommvaultSHIFT #CyberResilience #CISO #CIO #CTO #CEO #BoardDirectors

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A Message from Sanjay Mirchandani, CEO, Commvault “The question we’re addressing today is simple: how fast can you recover in a world where breaches a

Open article: Commvault Shift Virtual: The Dawn of AI Resilience by Helen Yu • 4 min read

Commvault Shift Virtual: The Dawn of AI Resilience

What happens when the world's leading GPU innovator and cloud computing giant double down on their 15-year partnership?

I found out at Amazon Web Services (AWS) re:Invent, where I sat down with Dave Salvator, Director of Accelerated Computing Products at NVIDIA.

His answer? "We never take our foot off the gas."

Here's what that relentless pace of innovation looks like:
✅ Full Blackwell lineup now available on AWS (GB200, GB300, MGX Pro 6000)
✅ NVLink Fusion integrating with AWS Trainium4; opening NVIDIA's proven, 7x faster fabric technology to custom silicon
✅ AI Factories expanding on-premises deployment options for enterprises
✅ Confidential computing in Blackwell for secure AI workloads in regulated industries
✅ Nemotron models live on Amazon Bedrock

Dave shared something that resonated with me: while hardware advances get the headlines, algorithmic innovation is the next frontier. NVIDIA's Project DIGITS is focused on delivering 40-50% performance gains through smarter algorithms instead of more compute.

The takeaway? This partnership isn't slowing down. With yearly platform roadmaps and Rubin already on the horizon, 2025 is shaping up to be transformative for AI infrastructure.

Watch my full interview with Dave: https://lnkd.in/gAEEFFfC

#NVIDIAPartner #AWS #reInvent2025 #AcceleratedComputing #EnterpriseAI 

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"We never take our foot off the gas. Both companies are very biased towards action. We like to move quickly." — Dave Salvator, Director of Accelerated

Open article: Accelerating AI Innovation: Inside the NVIDIA-AWS Partnership at re:Invent 2025 by Helen Yu • 4 min read

Accelerating AI Innovation: Inside the NVIDIA-AWS Partnership at re:Invent 2025

What's it like watching the Las Vegas Grand Prix qualifications from the T-Mobile Magenta tower?

Unforgettable.

Huge thanks to T-Mobile for hosting such an incredible experience—the views from the Sphere Magenta Club were unmatched, and the magenta glow fit right in with The Sphere's spectacular light show. Started the evening with my first-ever aura reading, then tried on a racing suit and helmet. My AI-generated racing persona? Nano Banana 🍌.

Finished the night watching qualifications light up The Sphere while hanging out with a creative bunch—turning online connections into real ones, surrounded by the T-Mobile team and fellow F1 fans.

Sometimes the best experiences come from saying yes to the unexpected. 🏎️

#LasVegasGP #F1 T-Mobile For Business #SphereMagenta 

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What’s Driving AI from the Lab to the Real World?

Bridging the gap between experimental AI models and industry-scale applications became the theme of my time exploring NVIDIA’s presence at Amazon Web Services (AWS) re:Invent; from a VC Startup breakfast at Osteria di Brera to hands-on demos across the Expo floor.

NVIDIA unveiled several breakthrough technologies this week:
✅ NVIDIA DRIVE Alpamayo-R1: The world's first open, industry-scale reasoning vision-language-action model for autonomous mobility
✅ Mistral Large 3: Now 10x faster on NVIDIA infrastructure
✅ Nemotron models on Amazon Bedrock: Bringing specialized agentic AI for text, code, images, and video directly to AWS customers
✅ Cosmos Cookbook: Practical resources for scaling physical AI development

The convergence of cloud infrastructure and AI is accelerating. NVIDIA's focus on open models, optimized performance, and accessible tools is democratizing AI development, making sophisticated applications available to startups and enterprises.

My conversation with Dave Salvator, Director of Accelerated Computing Products, reinforced how NVIDIA is addressing the entire AI lifecycle, from data generation to deployment.

We're witnessing a pivotal moment where physical AI, reasoning models, and open-source approaches are creating possibilities that seemed impossible just years ago.

I am thrilled about the opportunity to interview two startups founders from the NVIDIA Inception program: Diligent Robotics and Distributional, where we'll explore how they're leveraging these technologies to solve real-world challenges.

#Startup #Inception #AWSreInvent #NVIDIAPartner

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Building the future of AI but struggling to access the compute power and expertise you need?

That's exactly why NVIDIA created Inception and the Inception Tour was my favorite part of Amazon Web Services (AWS) re:Invent this year.

Since my Marketo days, I've been passionate about scaling startups. As an advisor, I've had the privilege of guiding several from early stage to exit. The most thrilling part is watching founders create something that solves real pain points and finding that repeatability to scale.

In my book "Ascend Your Startup," I talk about conquering 5 disconnects to accelerate growth with principles that are relevant to startups building what's next in AI.

At the NVIDIA Inception Pavilion, I got to interview two incredible #startups leveraging the Inception program:
✅ Adam Allevato from Diligent Robotics
✅ Scott Clark, CEO of Distributional

Stay tuned for their stories to see how they're scaling their innovations.

My key takeaway: NVIDIA operates like a startup when it comes to innovation. They've built an incredible ecosystem and genuinely care about giving back to the community. That's what sets them apart.

Inception gives startups access to:
✓ State-of-the-art GPU computing
✓ Direct collaboration with NVIDIA engineering specialists
✓ Invitations to GTC conferences worldwide
✓ Connections to NVIDIA's venture arms
✓ A community of 30,000+ startups globally

The only criteria is that your company must be less than 10 years old. No equity required. No cohort limits. Just continuous support as long as you're building.

Heartfelt appreciation to the NVIDIA team for making this experience possible: Hanako Tonozuka, Daman Oberoi, Ashutosh Joshi, and Amy Kaplan.

Is your startup ready? Join 15,000+ innovators: https://nvda.ws/48xgtEh

#NVIDIAPartner #AWSReInvent #Startups #Inception #Founders

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Are you automating the insanity or transforming your business?

That's the question Chris Hallenbeck, SVP & GM of AI & Platform at Boomi, posed in our latest CXO Spice conversation. And it cuts to the heart of the challenge.

Here's what most leaders miss: Agentic transformation isn't about making old processes faster. It's about fundamentally rethinking how work gets done.

The difference between chatbots and AI agents? Context, connectivity, and control.

Chris shared a powerful example from Serco, a company serving governments worldwide. They transformed how they handle employee certifications, moving from annual checks to something far more sophisticated. It resulted in reduced costs, lower risk, and increased operational impact. 

Here's the reality check that every executive needs to hear:
"AI is actually easy. I can build an agent that is extraordinarily powerful in under five minutes. Connectivity is really hard. Connectivity with quality data is the hardest."

So what separates successful agentic transformation from expensive pilots that never reach production?  The companies that understand this distinction and build the right foundations now will gain substantial competitive advantages.

The CXO Spice Newsletter breaks down the complete framework with detailed examples and the path forward for enterprise leaders.

Watch CXO Spice conversation with Chris Hallenbeck: https://lnkd.in/gWy4XZ_g

Are you ready for agentic transformation? Drop your thoughts in the comments.

#AgenticAI #AgenticTransformation #IPaaS #BoomiAmbassador

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"We're not trying to do the old thing faster. We're saying it can actually be done better with higher impact and lower risk." This powerful statement 

Open article: From Digital to Agentic: The Next Evolution in Business Transformation by Helen Yu • 5 min read

From Digital to Agentic: The Next Evolution in Business Transformation

Is your marketing strategy treating AI as a persona?

At the Schneider Electric Innovation Summit in Las Vegas, I sat down with Abby Gabriel, CMO of Schneider Electric North America, and this shift in thinking became crystal clear.

As Abby explained: "We now look at AI as one more persona. How does AI as an influencer take our information and ultimately provide a recommendation to our customers?"

Think about that. Not optimizing FOR AI tools. Not using AI to automate. But marketing TO AI as a decision influencer.

Here's what else stood out from our conversation:
✅ Energy tech redefined – After more than 135 years in North America, Schneider is leading the convergence through three pillars: electrification, digitalization, and automation.
✅ Digital dominance – Digital now represents 65-70% of Schneider's marketing mix, with AI strategy at the forefront. Their MySchneider portal serves more than 100,000 customers monthly.
✅ Sustainability as strategy – Serving 40% of the Fortune 500 with end-to-end decarbonization solutions—consulting, hardware, software, and services that turn strategy into results.
✅ Ecosystems over egos – With 1,500+ customers, partners, and suppliers at the Summit, Schneider proves success comes from elevating the entire ecosystem.

The future of energy technology is electrified, digitalized and automated. It turns watts and servers into intelligence, ecosystems, and sustainable outcomes.

Watch our full conversation: https://lnkd.in/gJT37MFs

On this Thanksgiving, I'm grateful for leaders like Abby Gabriel who are pushing us to think differently about the future of technology and sustainability.

#EnergyTech #AIStrategy #Sustainability #B2BMarketing #Innovation #Sponsored #SchneiderElectricInnovationSummit #ISNA2025 #InnovationSummitLasVegas #EnergyTechLeaders

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At the Schneider Electric Innovation Summit North America, hosted in Las Vegas, I sat down with Abby Gabriel, CMO of Schneider Electric North America.

Open article: The Future of Energy Technology: A Conversation with Schneider Electric's Abby Gabriel by Helen Yu • 4 min read

The Future of Energy Technology: A Conversation with Schneider Electric's Abby Gabriel

What happens when the world’s most advanced AI hardware meets the industry’s most powerful cloud platform?

This week at Amazon Web Services (AWS) re:Invent, the answer was unmistakable; and the NVIDIA presence was impossible to miss.

From packed keynotes to buzzing expo-floor demos, it’s clear we’re entering a new era where AI infrastructure is a catalyst. The conversations all pointed in the same direction:
✅ Accelerated computing is now table stakes.
NVIDIA GPUs powering AWS instances are enabling companies to build, train, and deploy models at speeds that felt impossible just a year ago.
✅ Partnership is the multiplier.
AWS × NVIDIA is empowering enterprises to scale AI workloads globally, securely, and efficiently.
✅ GenAI moved from concept to production fast.
Autonomous systems, enterprise agents, real-time LLMs, next-gen developer tools - NVIDIA’s ecosystem had a gravitational pull all week.

But what stood out most were the PEOPLE who bring that innovation to life: listening, guiding, inspiring, and elevating every moment.

The 1-minute clip captured something deeper than product demos; it showed a team showing up with energy, expertise, and genuine passion:
✅ Conversations that sparked curiosity
✅ Seamless collaboration across teams
✅ Visitors energized by every interaction
✅ A polished, human experience delivered with pride

Because in the end, hardware accelerates AI… but people accelerate possibility.
And this week at re:Invent, NVIDIA showed exactly what that looks like.

#NVIDIAPartner #AWSreInvent #Inception #AI #Robotics

Amy Kaplan Dave Salvator Scott Clark Adam Allevato Jess Ramos ⚡️Jean Kang Megan Lieu Daman Oberoi Hanako Tonozuka Viktoria Semaan Linda Haviv

What’s the biggest barrier keeping AI from doing real work in the enterprise?

That’s the question I explored with Rohan Vora, Product Lead at Glean, in the latest CXO Spice Spotlight. His answer reframed the conversation around autonomous agents.

We covered:
✅ Why autonomy requires more than just great models
✅ How enterprise context unlocks real outcomes
✅ What it takes to orchestrate work across complex systems
✅ How AI is moving from “helping with tasks” to owning outcomes

If you’re thinking about the future of AI-powered work, this conversation is a must-watch  

👉 Watch the full episode here and see how Glean is shaping the next era of enterprise autonomy: https://lnkd.in/gp2VrFEP

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In a recent episode of CXO Spice, I had the opportunity to speak with Rohan Vora, Product Lead at Glean, about one of the most important shifts unfold

Open article: The Future of Autonomous Enterprise Agents with Glean  by Helen Yu • 4 min read

The Future of Autonomous Enterprise Agents with Glean

The gap between data and AI success? Context.

SaaS brought agility but broke cohesion. Enterprises now have powerful data islands that don't speak the same language.

On November 18, discover how SAP Business Data Cloud unifies data across finance, supply chain, HR, and procurement—creating the semantic layer your AI models need to deliver real business value.

Register 👉: https://lnkd.in/g5VYih_7

Hear from Accenture's Terje "T" Sorlie and SAP's Justin Ham & Orla Cullen on building AI-ready data foundations, plus live demos:
✅ Intelligent applications in action
✅ Agentic AI with SAP Joule
✅ Predictive planning powered by AI-ready data

SAP and SAP S/4HANA Cloud ERP #Event #AI #Data

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Want to know what kills most transformations?

After sitting through 82 acquisitions at Oracle, I learned it's not strategy. It's not talent. It's not even budget.

It's legacy infrastructure that no one wants to talk about.

I keep seeing the same pattern in boardrooms:
CEOs are betting big on AI. But most are burning 35% more on cloud than they should.

Here's why:
Data platforms built 20 years ago were designed to store information.
Today you need to access data instantly, wherever it lives, to drive AI outcomes.
That fundamental shift broke the old model.

I've lived this.
In a previous role scaling a SaaS company, our infrastructure costs outpaced revenue growth. We upgraded systems. Added capacity. Getting smarter about how we accessed data was the secret source.

Companies like Zetaris are solving this differently.
Intelligent systems that optimize how data gets accessed and processed.
The impact:
✅ Cloud costs drop 30-60%
✅ Performance improves
✅ Data becomes an advantage, not a drain

Is our infrastructure investment aligned with our AI strategy or working against it?

Explore more: https://bit.ly/4mGo0W4 or Follow Zetaris

#DigitalTransformation #AIStrategy #Governance #DataAnalytics

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How much did YOUR bank take from you last time you exchanged currencies?

Last week, I went to my bank to exchange USD to euros for a trip. They charged me a $36 fee on a $500 exchange. That's over 7% gone.

And I'm not alone. 

Here's the issue most people don't see: banks are quietly taking cuts on every international transaction.

You earn money in USD → Your bank converts it (taking 2-3%) → You pay a supplier → Their bank converts it again (another 2-3%) → You've just lost 4-6% without realizing it.

For businesses processing millions? That's hundreds of thousands lost every year.

Now imagine this:
✅ One account to hold 20+ currencies, so money never has to convert until YOU decide.
✅ Expanding overseas? You can open a bank account in a new country in 60 seconds, from your laptop.
✅ A private global payment network that routes around the traditional banking system so 90% of your transactions arrive on the same day. 
✅ Add on AI agents that handle invoicing, payments, procurement, and compliance checks while you sleep. 

No waiting. No manual transfers. No hidden fees. No 7% cut.
That’s exactly what Airwallex, a global fintech offers..  Airwallex just crossed $1 Bn ARR. (90% growth) by making one thing simple: eliminate the middleman.

Now you can accept payments, hold money in multiple currencies, pay suppliers internationally, and manage team spending, all in one unified platform.

Companies like McLaren Racing, Arsenal FC, and Canva have already made the switch. 

And Airwallex is going all-in: They’ve just raised $330 million at an $8 billion valuation (30% jump in 6 months) led by Addition and with participation from T. Rowe Price, Activant Capital, Lingotto, Robinhood Ventures and TIAA Ventures.

How much is your bank quietly taking from your international payments? It’s time to rethink what global finance looks like.

#FinTech #Payment #AirwallexPartner
 
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Can AI infrastructure be both sovereign AND scalable?

NVIDIA and Amazon Web Services (AWS) proved it can.
At #AWSreInvent, they announced a partnership that redefines enterprise AI:
✅ NVLink Fusion on Trainium - massive model training, unleashed
✅ AWS AI Factories with Blackwell GPUs - your data, your control, infinite scale
✅ Nemotron on Bedrock - serverless agentic AI, no infrastructure headaches
✅ GPU-accelerated vector search - Amazon OpenSearch + NVIDIA cuVS = 10x faster indexing at 25% of the cost
✅ Physical AI at scale - NVIDIA Cosmos world foundation models now on AWS for robotics and simulation

I will be hosting Dave Salvator, Director of Accelerated Computing at NVIDIA, to unpack what this means on CXO Spice.
We're talking:
✅ Why sovereign AI infrastructure just became enterprise-ready
✅ What 20K+ Blackwell GPUs unlock
✅ How to protect your models while scaling fast

The AI infrastructure conversation just got rewritten.

Learn more: https://lnkd.in/gTUeW_hy
What's holding back your AI deployment—compute, sovereignty, or both? 👇

#NVIDIAPartner #AWS #AI #Blackwell #Enterprise

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What if you could scale your security program without expanding your team?

Most companies face a painful reality: as they grow, compliance becomes a resource black hole. 

75% of executives admit their security programs are too complex, stretched thin by thousands of controls and drowning in duplication.

Continuously hiring people doesn't scale.

Here's what's really happening:

Your InfoSec teams are burning out on manual evidence collection, juggling multiple frameworks with overlapping requirements, and struggling to give executives the visibility they need to make informed decisions. Meanwhile, 30% of employees don't even understand their role in maintaining your security posture.

I recently came across Sprinto, a platform that scales compliance through automation.  Here are some highlights of their capabilities:
✅ Pre-built framework overlaps remove duplication automatically
✅ Automated control monitoring, and evidence collection
✅ Real-time dashboards that give executives and security committees visibility
✅ Step-by-step guidance that turns compliance from a burden into a
shared responsibility

When you remove duplication, automate evidence, and give everyone visibility into risks, something remarkable happens: your security program becomes a competitive advantage.

Learn more: https://lnkd.in/g4qDmvVD

#Cybersecurity #Compliance #InfoSec #Sprinto

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