I Help Corporate Professionals Gain Career Clarity & Fulfillment | Founder @Amplify Your Home | Global AI Tax Copilot Strategist @EY

Don't be fooled by my appearance. Quiet, Asian, tiny girl.

In the last decade, I've...

Successfully navigated the corporate giants: Goldman Sachs, PwC, Deloitte and EY.

Built communities, tax and financial models, and automations. (Excel wizard here)

Empowered employees to own their damn careers,

Challenge their norms to do something special.

That's when Problems become Opportunities,

Strategies into Actions.

You are not Alone.

Ready to redefine your career? Let's make it happen.

Mary Fung

Accenture and Snowflake just formed a joint business group. 5,000+ certified consultants dedicated to AI and data transformation.

That's not a partnership announcement. That's a statement about where enterprise AI is heading.

Reading between the lines:

- The big consultancies are betting hard on data infrastructure as the AI bottleneck
- 'AI transformation' is becoming 'data transformation with AI capabilities'
- If you don't have your data house in order, no amount of AI magic will save you

What this means for enterprise buyers:

The consulting giants are building massive practices around making AI actually work. They're not selling AI hype anymore - they're selling the boring stuff. Data quality. Governance. Integration. Infrastructure.

They learned something from the last 2 years: Executives buy AI demos. But they pay for data cleanup.

If Accenture is deploying 5,000 people to this, ask yourself: Is your organization investing anywhere close to proportionally?

Own Your Damn Career | Founder @Amplify Your Home | Head of Synthetic Data & Simulations @EY

10 AI Predictions for 2026:

1. Gemini will quietly become the default AI model — not because it's best, but because it's baked into Google Workspace and enterprises buy whatever comes with the contract.

2. AI agents will be the buzzword of 2026, but 90% of enterprise "agents" will just be fancy if-then workflows with a chatbot wrapper.

3. Middle management will shrink faster than anyone expected. If your job is routing information between people, start upskilling now.

4. LinkedIn will be flooded with AI slop, which will make authentic human writing easier to spot and more valuable.

5. The companies that win with AI won't have the best models — they'll have the cleanest data and fastest approval pathways.

6. Most "AI transformations" announced in 2025 will be quietly walked back, rebranded, or buried in footnotes.

7. Copilot will be on every enterprise desktop, but 80% of employees will use it the same way they use Excel — poorly and rarely.

8. The Chief AI Officer title will peak and then quietly disappear because nobody figured out what it was supposed to do.

9. Prompt engineering will stop being a job title and become a baseline skill, like knowing how to Google.

10. The people who actually ship AI in 2026 will be the same ones who shipped software in 2016 — builders who know that technology is 20% of the problem.

Everyone keeps saying, “AI needs better foundations.”

That’s true.
But it’s not the part people think.

KPMG isn’t warning about missing tech.
They’re warning about missing discipline.

Most enterprises want AI to move fast
on top of systems that were never designed to be trusted.

Bad data.
Unclear ownership.
Processes built for humans to patch gaps with judgment.

So when AI breaks, leaders don’t ask:
“Why was this workflow fragile to begin with?”

They say:
“AI isn’t ready.”

AI doesn’t fail in enterprises because it’s too powerful.
It fails because it refuses to hide the mess underneath.

Foundations aren’t glamorous.
They don’t demo well.
They don’t win internal applause.

But without them, AI just scales dysfunction faster.

The companies that actually win with AI won’t be the loudest adopters.
They’ll be the ones willing to do the unsexy work first:
clarify ownership, clean data, redesign workflows, define accountability.

Everyone else will keep running pilots —
and blaming the tech when reality shows up.

Most companies don’t hire talent.
They hire job descriptions.

And then they’re shocked when they end up with average people doing average work.

Cursor does the opposite.
They don’t ask “What role do we need?”
They ask “Is this person undeniable?”

If the answer is yes, they bend the org around them.
They don’t wait for headcount approvals.
They don’t debate leveling.
They don’t hide behind process.

They move.

Because:
> Elite talent is rarer than clean org charts.
> Process is cheap. People aren’t.

Most companies optimize for order.
The best ones tolerate chaos to secure leverage.

If you hire roles first, you get replaceable people.
If you hire people first, they create roles you didn’t know you needed.

That’s how you build an org of superstars.
Not by perfect hiring processes but by having the courage to recognize greatness
and act before it’s gone.

Goldman’s CEO said AI can now do 95% of an S-1 in minutes.

Everyone keeps asking what happens to the jobs.

That’s the wrong question.

The real question is:
What is the 5% that still matters?

It’s not formatting.
It’s not drafting.
It’s not models, footnotes, or precedent decks.

The 5% is:
• deciding what risk actually matters
• knowing what to leave out
• framing the story regulators and investors will believe
• understanding where this deal breaks under pressure
• making judgment calls no template can defend

The 95% was always execution theater.
The 5% was always the job - it was just hidden behind process and headcount.

AI didn’t remove human value.
It stripped it down to the part you can’t fake.

If your role was built on producing the 95%,
you weren’t senior...you were insulated.

Now the insulation is gone.

What’s left is judgment, taste, and accountability.
And that’s the part most people were never trained for.

That’s the real disruption.

Users don’t need Copilot to be visionary.
They need it to be boringly correct.

Once it earns trust, then it can become transformative.

But this is exactly why Copilot keeps disappointing:
the people building it aren’t the people living in Word, Excel, Outlook, and PowerPoint all day.

They don’t feel the cost of a small error.
They don’t feel the “I now have to double-check everything” tax.
So the product ships features… before it ships trust.

And Satya stepping in as PM won’t magically fix that.

This isn’t a leadership-attention problem.
It’s a proximity problem.

Until the builders are forced to live in the workflow and be judged on accuracy, not demos
Copilot will keep being impressive… and optional.

Trust first.
Then transformation.

How to Position Yourself for AI-First Roles:

> Stop learning tools. Start solving problems. Anyone can take a ChatGPT course. Few people can articulate how AI solved a specific business problem with measurable results.

> Document everything you build. That workflow you automated? That analysis you accelerated? Screenshot it. Write it up. Your future employer can't see what you don't show them.

> Get uncomfortable with ambiguity. AI roles live in the gray zone between 'definitely possible' and 'completely impossible.' If you need clear requirements to function, this isn't your path.

> Learn to speak two languages. Technical enough to evaluate AI capabilities. Business enough to translate them into ROI. The people who bridge this gap are absurdly valuable.

> Find the AI skeptics. The person in your company who thinks AI is overhyped? Befriend them. They'll show you every gap in your thinking and make your pitches bulletproof.

> Build a public track record. LinkedIn posts about AI projects. GitHub repos with experiments. A portfolio site showing what you've built. Hiring managers are tired of 'AI enthusiasts' with nothing to show.

> Apply before you're ready. The AI field moves so fast that job requirements are wishlists, not checklists. If you meet 60% of the requirements, you're qualified. They'll teach you the rest.

Most “agentic AI” projects fail for the same reason most corporate transformations fail:
people mistake motion for progress.

McKinsey looked at 50 real agentic AI builds.

The failure wasn’t the models.
It wasn’t the prompts.
It wasn’t the talent.

It was ego.

Teams built impressive agents instead of fixing broken workflows.
They layered AI on top of chaos and called it innovation.

AI isn’t limited by capability.
It’s limited by imagination.

We already have models powerful enough to solve problems most companies haven’t even defined yet.

The gap isn’t technical - it’s structural.
It’s the lack of domain context, product packaging, and change management that turns potential into adoption.

Most enterprises don’t need “better AI.”
They need AI that speaks their language - built around real workflows, real UX, and real ownership of change.

That’s why the next wave won’t come from another foundation model.
It’ll come from domain-specific agents - vertical copilots that combine deep expertise with flawless execution.

The real unlock isn’t general intelligence.
It’s the ability to pour capital into problems that were never scalable before.

And the only thing left standing in the way isn’t the tech -
it’s the willingness to use it.

5 Things I Learned Implementing AI at Enterprise Scale:

1. Your data problem is bigger than you think. Every executive says 'our data is pretty clean.' It never is. Plan for 60% of your timeline to be data work.

2. The pilot trap is real. Successful POCs die in production because nobody planned for security reviews, compliance checks, and the 47 stakeholders who need to approve everything.

3. Change management eats AI for breakfast. The technology works. The humans resist. Budget 3x more time for training, communication, and handling the 'but we've always done it this way' crowd.

4. Start with the boring use cases. Everyone wants the sexy AI chatbot. The real ROI is in automating the mind-numbing document processing that costs you 200 hours/week.

5. Your AI strategy needs an AI exit strategy. Models change. Vendors pivot. Build for portability or you'll be rewriting everything in 18 months.

i won't be surprised if this number 10x by now

Champions of Change

Champions of Change creates profitable and impactful communities around individuals unique skills.
The World needs your gifts.
Discover, Create & Grow your Movement.

Founder & Community Builder

Scotiabank

I am blessed to work on providing Secure Integrated Authentication to Scotiabank's infrastructure.

● Creates and facilitates Scrum events to improve productivity, team wellness and mature the organization and team's agility

● Manages the JIRA instance and applies techniques for effective workflow visualization and management

● Servant-Leader: Identifies, manages, and helps mitigate issues and risks, with the timely removal of impediments for the team and/or directing obstacles to appropriate owners for quick resolutions

● Coaches the development team and guides towards adopting an Agile mindset

Scrum Master | Authentication Technology

The Nature Mindset

The Nature Mindset uses Ecotherapy and coaching practices to benefit all facets of the human being and the natural world. 
Explore how this powerful knowledge can bring alignment and empowerment to live authentic purposeful lives in harmony with nature.

Founder & Coach

The Fast Forward Group

● Delivered end-to-end virtual programming to over 30 corporate clients such as Google, Meta, Amazon, Spotify, TikTok, Twitch, Visa and Ford, with client success leading to an increase in scope and account size.

● Analyzed and presented program feedback with focus towards measuring the client’s ROI and growing the client portfolio.

● Quantified measurable client improvements in core focus areas: Confidence, Relationships, Time management, Resilience, Well-being and Happiness.

● Programs managed were delivered with exceptional quality, with NPS scores of 70+, driving repeat business.

● Championed and implemented DEI programs for people of colour across North America and U.K.

● Researched, proposed and implemented new technologies for an upcoming Membership platform. Tracked project timelines, onboarded new members, developed and tested the platform.

● Created a membership community of conscious growth through the merging of technology and heart-centered coaching.

● Developed a Community Engagement strategy, aimed at driving meaningful engagement to grow the community to critical mass. 

● Collaborated with the facilitation team to create engagement deliverables to accommodate client specific needs.

Client Engagement

●  Produced over 100 hours of content with mid to C-level executives from 30+ Fortune 500 companies such as: Google, Meta, Amazon, TikTok, Spotify, Twitch, Visa, Volta Charging and Ford.

●  Expert on producing and facilitating on video-conferencing software including: Zoom, Google Meets, WebEx and MS Teams. 

● Supported the production and management of program assets (slide decks, worksheets, storyboards) along tight deadlines.

● Supported client stakeholders, facilitators and participants during live programming. Worked in a fast-paced environment effectively managing scripts, production material and timelines with ambiguity, change, and shifting priorities.

●  The Fast Forward Group provides leadership development programs and services that change mindsets, and behaviors which drives growth. Programs focus on leadership, EQ, change management and ambitious, action-oriented strategic planning.

Producer

StackPros Inc.

Scrum Master

Hudson's Bay Company

Portfolio Project Coordinator

Babylon VR

Babylon VR is a Virtual Reality company created to accelerate the adoption of Virtual Reality. 
Services included providing immersive virtual-reality experiences to allow designs and immersive learning to become a reality. 

Custom projects were developed for clients in the Real-Estate, Design, Automotive, Public Institutions and Retail industries. Projects included developing interactive experiences in the Real-estate and Design industries, allowing users to visualize and design spaces that haven't been built yet.

Company highlights:

● Developed experiences implemented in showrooms for Real-Estate developers in Toronto, changing how buyers bought and customized their new homes.

● Created the first Virtual Reality experience for the University of Waterloo’s Hyperloop team (Waterloop), which was the only Canadian team to compete at the SpaceX HQ in 2017.

● 1 of 5 companies in the 2016 Google for Entrepreneurs Incubation cohort.

● Part of Velocity, a tech incubator founded at The University of Waterloo, and housed in the Communitech Incubator Hub.

● Delivered projects using Agile methodologies (Scrum, Kanban etc.) and intensive customer discovery data; gathering business requirements through prototyping, interviews and UX workshops.

● Pitched at the CNE Innovation Garage, winning first place ($5K) under the VR/AR Category.

Babylon VR - Create Without Constraint

Co-Founder / Business Operations

City of Oshawa

Swim Instructor | Lifeguard

Dagmar Ski Resort

Snowboard Instructor

My mission is to elevate 1M+ people to financial and time freedom by living their purpose and using their power as a force of good in the world.

🔶Ex-VR tech startup founder 
🔶Passionate and lifelong student of Human / Animal / Community Psychology
🔶My perspective of Business as a vehicle for Positive Change and Work/Life Balance
🔶Worked in Executive Coaching with Fortune 500 Executives to understand how to upgrade life
🔶On a lifelong quest for self-improvement and the uplifting of the collective human consciousness

I look forward to creating meaningful connections with you. 

taplio

The Battle

Mary Fung

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