Ryan Staley

Whale Boss

A New Era of Revenue Leadership with AI 

Our mission is to empower 1 million Go-To-Market Executives to achieve superhuman potential through AI transformation. We help revenue leaders escape the operational grind, multiply team capacity, and accelerate revenue—all while working less and achieving more.  This can be done in less than 2 months with AI education activation, innovation and automation. 

🚀 AI as “Liberating Intelligence”
AI isn’t just a tool; it’s “liberating intelligence.” This shift redefines productivity, ambition, and control, enabling leaders and teams to reach impact levels once unimaginable—all without expanding headcount. This approach resonates with executives who seek freedom in both business and life, making AI a true transformational ally.

🔹 From Productivity to “Capacity Multiplication”
Today’s leaders don’t need mere productivity boosts; they need to multiply team capacity. AI agents, workflows, and assistants go beyond task completion, amplifying output so teams perform at peak levels without constant oversight—giving leaders time for moves that truly matter.

🌄 Liberating Leaders to Live the Dream, Not Chase It
With AI, revenue leaders can grow without the endless grind. Freed from perpetual hiring and micromanagement, you gain the power to step back, letting a self-sustaining revenue engine deliver results while you live the life you envision.

💡 AI for “Decision Density”: Minimize Decisions, Maximize Impact
AI reduces the mental load by taking on real-time tactical choices, freeing leaders to focus on fewer, high-impact decisions. It turns decision-making from a draining process into strategic momentum.

I’m passionate about helping revenue leaders not just transform their teams but redefine growth itself. 

Together, we’re building a future where AI isn’t just helpful—it’s liberating.

Founder and CEO

The Scale Up Show

I deconstruct how the top SAAS CEOs in the world grow their companies repeatedly and predictably.  

This show has featured Startup and Billion Dollar Founders, Best Selling Authors, and the World’s Top Sales and Marketing Experts like Terry Jones (Founder of Travelocity and Chairman of Kayak),  Andrew Gazdecki (Founder of Microacquire), Harpaul Sambhi (Founder of Magical with a previous exit to Linkedin) and many more.

Podcast Host

Gartner

Gartner Peer Community is Gartner's new, next-generation online destination designed to increase value through timely answers and meaningful peer connections.

Ryan Staley has been invited as a Founding Peer Community Ambassador to contribute insights on B2B sales, sales leadership, and enterprise go-to-market among other topics. Gartner Peer Community is Gartner's new, next-generation online destination designed to increase value through timely answers and meaningful peer connections. 

Ryan Staley has been invited as a Founding Peer Community Ambassador to contribute insights on B2B sales, AI for Sales, sales leadership, and enterprise go-to-market among other topics.

Peer Ambassador: B2B Sales, Sales Leadership & Enterprise GTM

Pavilion

As an instructor, I have taught over 800 VPs of Sales and CROs my proprietary methods for Enterprise Sales and Enterprise GTM.  

Pavilion is a private, invitation-only community of sales and marketing executives at growth-focused companies.

Executive Member,  Former CRO & Enterprise Sales GTM School Lecturer

RevGenius

RevGenius is a think tank networking group of revenue-generating sales and marketing professionals brought together to learn, share, support, and grow with each other. You can consider us your alt work family!

Founding Member

Sales Hacker, Inc.

Flex Technology Group

Specific examples of value delivered for net new customers listed below;

-Leading Retail Company ($15 billion in annual revenue)-$3.6 Million in expense reduction over the life of contract, 15 FTE's freed up for core IT initiatives and 300% improvement in SLA's

-High Growth Manufacturer ($9 Billion in annual revenue)-$1.8 Million in expense reduction over the life of contract, 300% improvement in SLA's and 15 vendors consolidated into 1.

-Leading National Healthcare Provider ($2.5 Billion in annual revenue)- $3.6 Million in expense reduction over the life of contract, SLA improvement of 400% and  Co-authored enhanced asset management strategy

-Top Professional Services Organization ($3 Billion in annual revenue)- 60% expense reduction, SLA improvement of 300% and asset management visibility provided across 900 locations

Vice President of Strategic Accounts

Director of Strategic Accounts

Director of Sales, Midwest Region

Regional Sales Manager

Pitney Bowes (Managed Services)

Managed Print Services Enterprise Sales (Midwest Region) for Fortune 500 and Fortune 1000 organizations.

Senior Sales Consultant

Antenna Software

Antenna is a high growth early stage Software company that provides a SaaS based applications and mobility platforms that allow Fortune 500 companies to mobilize their enterprise applications.

• Responsible for Direct and Channel Sales for the Region
• Developed new Partner/Customer relationships for an
   undeveloped territory

Director of Sales Midwest Region

Sold customized Managed Print Services and software solutions to Fortune 500 and Fortune 1000 C-level executives. 

• President's Club Winner 2004, 2005, 2006, and 2007
• Grew a new market that had no customers into the one of
   the most profitable sales markets.

I help Chief Revenue Officers & Sales Professionals Leverage AI to work 10 hours less weekly and 2x performance. Follow for cutting-edge cheat codes, prompts, and workflows🎙Scale Up Show Host🔥$0→$30M ARR in 5.5 yrs

Over the last decade, I’ve grown a division from 0-$30M ARR with 4 Sales People and have upskilled over 1,600 GTM executives on AI, Enterprise Sales and GTM Strategy  .

My mission is to inspire 1 million Go To Market Executives to work less and sell more through becoming Superhuman with Artificial Intelligence.

I help revenue leaders transform their teams by acquiring AI skills to escape the operational grind, and accelerate topline revenue.

I’m the founder of Whale Boss and The Scale Up Show.

My portfolio:

→ I’m the Founder of Whale Boss, an AI Sales & Marketing consulting and skill transformation company
→ I’m the Founder of the Scale Up Show, Top 1% Global Podcast
→ I teach Executives, Sales & Marketing teams to implement tools like ChatGPT, Copilot, Claude, etc.   
→ I provide Chief AI Officer Advisory services for human capital.  


My results:

→0-$30M without funding, marketing or SDRs with only 4 Sales people
→Identified and implemented over 500 AI use cases (internally and externally)
→Taught over 800 CROs proprietary selling strategy and tactical execution
→Consulted over 40 Technology companies on custom revenue growth strategies.  
→Voted as a TOP global AI thought leader, Gartner Ambassador & Sales Assembly thought leader. 


If you want to learn more on how to become Superhuman, you can join my newsletter.
⇒ https://superhumanrevenue.beehiiv.com/


If you want to explore AI skill transformation for your organization or Team, apply for an AI Consult.  
=> https://calendly.com/ryanstaleywss/introductory-call-with-ryan-staley-from-whale-boss


Youtube- https://www.youtube.com/channel/UCFGndSHN4KkE89kUP74U7Qg

Podcast-https://ryanstaley.io/podcast/

X-https://x.com/Ryan_Staley1

Building the Team That Will Define AI Transformation in Revenue

I am excited to announce Beth Griffith as our new AI transformation Lead!


Why I Just Brought Beth Griffith On Board
When you're closing out a year at 300-400% YoY growth, you face a critical decision:

Do you slow down to protect what's working?
Or do you accelerate by bringing in the right people?
I choose acceleration.


Here's What I See in Beth
→ Her willingness to take on a massive learning curve 
→ Her authenticity about not knowing everything yet, but rapidly improving
→ Her understanding that who you are matters as much as what you know

In AI transformation, that last point is critical.


Why This Hire Matters Right Now
I've spent 3 years implementing AI solutions for 2,500+ executives. 
Here's what I've learned:

The companies winning at AI transformation aren't the ones with the biggest budgets.

They're the ones with people who are coachable, hungry, and real.
Beth brings all three.


The Montana-to-AI Pipeline 🎯
Beth joked about teaching me hunting in exchange for AI knowledge.

Here's my counter-offer:

I'll teach you AI transformation frameworks that drive measurable revenue impact.

You bring that small-town Montana grit that most Silicon Valley teams forgot existed.


A Note on David L. Farrell
David—your referral wasn't just a connection. It was a reminder that the best talent often comes through people who understand character first.
That's the kind of network effect that AI can't replicate.


What This Means for Whale Boss

We're not just adding headcount. We're building the team that will:
✓ Transform how revenue leaders adopt AI
 ✓ Cut through the AI hype with real implementation
 ✓ Deliver 60-day transformations, not 6-month promises

Beth's going to be a key part of that mission.

Welcome to the team, Beth. Let's build something remarkable.


🍌 P.S. I couldn't help to create a magazine cover of Beth using Gemini 3.0 since it was just released. Sorry, I have a problem :)  Its not perfect, but pretty solid overall.

whale-boss

li_at

JSESSIONID

Talks about #gtm, #sales, #chatgpt, #entrepreneurship, and #artificialintelligence

Event, Enablement, Project Enthusiast—Making Work flow

Revenue Leader | GTM Expert | 3x Results | Builder | Multiple President’s Club Winner | Private Equity Exit Experienced | Leader of Leaders | Analogy Evangelist

Founder & CEO, Whale Boss | Demystifying AI Agents | Helping revenue leaders 2x team results through AI Led GTM | Trusted by PE-backed SaaS | Transform your team in 60 days

Just wrapped another CRO roundtable last week in Chicago.
Stellar group. 

The conversation was unfiltered, insightful, and honestly pretty intense.


Here's what's actually keeping revenue leaders up at night:
1. Misaligned Expectations with the Board

Targets keep rising while market conditions keep deteriorating.
The fear isn't about working harder—it's about being held to numbers that completely ignore reality. How do you prove success when the metrics everyone's watching don't actually reflect what's happening in the business?




2. The AI Shock + Everything Changing at Once

Technology, GTM motions, buyer behavior, AI capabilities, org structure—all shifting simultaneously.

Without a clear framework, every change feels like risk instead of opportunity.

The real issue? Separating AI hype from actual impact before you waste time and credibility chasing vaporware.



3. Tech Stack Evolution vs. Human Adoption

The stack evolves faster than behavior, process, and culture ever will.
You've got increasingly sophisticated tools and data while revenue outcomes lag miles behind. The gap isn't closing—it's widening.



4. Margin and Pricing Pressure
Competitors are cutting price aggressively, creating massive pressure to follow.

Leaders are stuck protecting brand value and economics while discount pressure builds every single quarter. Race to the bottom or hold the line?



5. Comp Plans, Metrics, and Governance

Designing effective comp plans is brutal when GTM motions shift and turnover stays high.

Which metrics actually matter versus which ones just look good in board decks? How do you create incentive alignment when ownership across GTM is still fuzzy?


6. Cross-Functional GTM at Scale

Scaling Sales, CS, Product, and Marketing requires a unified operating model.

At hyper-scale, collaboration collapses into silos. Everyone wants a single customer journey—until it requires giving up their kingdom.



7. Talent and Ramp Reality
Ramping and retaining top reps in this environment is harder than ever.
The challenge? Distinguishing true high performers from strong interviewers. And balancing L&D investment against the reality of high turnover.



8. CRO Role Clarity and Org Design

When do you actually need a CRO versus a Head of Sales?

The difference is structural and political, not just a title change. Position the role wrong in the leadership architecture and it becomes friction instead of leverage.

Which of these 8 is hitting hardest for you right now?

Huge thank you to Warren Zenna to hosting

Also it was an amazing group and great to see Daniel Frailey Guy Rubin Greg Leos Howard Diamond Elio Narciso Marc Sabatini Jason A Wankovsky  James Kaikis

I've learned more about life than I ever had this year, so I wrote down 20 things I know at 48 that I wish I knew at 28.

This is straight from the heart.



1. Working as an employee trains you to ask for permission. Working as a founder trains you to take action because your life depends on it.

2. Every 10 years, there was a technology evolution that I ignored because I was too busy. I missed the internet explosion (in early 2000), Mobile and Social (2008-2011), and Bitcoin (2015 at $230 vs. $100K+ now). I am not doing the same with AI.

3. I used to be massively afraid of failing; things had to be perfect. However, my most painful failures pushed me to do things that I never would have dreamed of.

4. Without some separation of work from relationships, health, and fun, life can seem empty when work doesn’t meet your expectations.

5. The biggest risk to an achiever with a hard work ethic is burnout. Recovery (in whatever form you need) is sometimes better than working an extra 5-10 hours weekly.

6. It’s better to have 2-3 amazingly loyal friends you can count on rather than 15 that are mediocre.

7. Lack of focus on your own can be just as paralyzing as a job you hate.

8. You can learn anything, but you don’t have time to learn everything.

9. Nobody has all the answers, and the fastest way to evolve is to do rather than passively watching LinkedIn, YouTube, taking courses, reading books, etc.

10. If you don’t make a plan for your life, you will live within the confines of someone else’s plan.

11. I appreciate my parents way more now because I have to parent and realize how hard they worked to give me an amazing life.

12. If you help others unselfishly, it always comes back to you, whether it be a day, a month, or years later.

13. God, the universe, or whatever you believe in will often guide you in simple ways if you just ask for it and allow for grace.

14. Daily focus on gratitude will transform who you are and your view of the world if you make space for it.

15. Alcohol doesn’t need to be a big part of your life to fit into social situations.

16. Your biggest breakthroughs will happen unexpectedly after you relentlessly work to improve through massive action.

17. Every person on this earth has a unique path that no one else has ever had. Take that experience and do the best you can with your unique gifts.

18. Focus is the biggest barrier you will face when AI makes custom knowledge free.

19. Your children will bring you joy that you can’t comprehend at 28.

20. If you take care of yourself physically, mentally and psychologically you won’t feel old.

That's all for now! I am sure more will come to me for a post 2 on this:)

Last week in Chicago reinforced something critical: Most companies have AI access, not AI strategy.

Speaking at the AI Roadshow revealed the same pattern I see everywhere—leaders stuck between knowing AI matters and actually transforming their teams.

3 Implementation Truths That Kept Surfacing 🎯

1. Executive Strategy ≠ Tool Access Giving teams ChatGPT without a transformation framework is hope, not strategy. Winners have clear adoption roadmaps: augmentation → automation → orchestration.

2. Cross-Functional Alignment Is Non-Negotiable Sales adopting AI while Marketing resists = siloed failure. Real transformation happens when RevOps, Sales, Marketing, and Product align on workflows simultaneously.

3. Protected Experimentation Time Drives ROI Leaders seeing results block 2-3 hours weekly for team experimentation. Treating AI as "extra work squeezed in"? Still waiting for value.


The Real Unlock 💡 
Leaders sharing honest "we tried this and it failed" stories. Real questions instead of performed expertise.
That's where transformation actually happens.


Your Implementation Checklist: 
✓ Build frameworks, not just provide access 
✓ Align teams cross-functionally on adoption 
✓ Protect dedicated experimentation time 
✓ Stay brutally honest about what's working

Thanks to ☁️ Cliff Simon for organizing and having me be a part and for  Chili Piper & HubSpot for sponsoring, and everyone who showed up ready to do the real work.

GTM & RevOps Leader

Chili Piper

HubSpot

Your Tech Stack Is Outpacing Your Team (And It's Costing You Millions)
I call this the "Progression vs. Progress" problem.

Your tech stack has evolved 10x in the past 3 years.

Your team's behavior? Maybe 1.2x.


Here's what this actually looks like inside a $100M+ ARR company:
→ 14 different sales tools that don't talk to each other 
→ AEs spending 64% of their time on NON-SELLING activities 
→ New hires taking 5+ months to ramp 
→ Top performers getting poached because they're burned out


I've seen this pattern across 2,500+ executive AI transformations.

The problem isn't the technology.
The problem is the 20/80 adoption split.


Here's what I mean:
🔹 20% of your team will naturally adopt AI tools and see 2-3x productivity gains.
🔹 80% will resist, maintain status quo, and create a performance gap that compounds DAILY.


This isn't a training problem. It's a transformation problem.


Here's the 3-stage framework that actually closes this gap:

Stage 1: Augmentation (Days 1-14) Pick ONE high-frequency task your reps hate. Automate it with AI.

Example: Account research that takes 60 minutes → 10 minutes.
That's 8-10 hours per rep per week. Immediate wins build momentum.


Stage 2: Adoption Forcing Function (Days 15-45) Create protected experimentation time. Make AI usage VISIBLE.
The reps who resist? They need to see their peers winning first.

NOTE: This requires executive-level air cover. No exceptions.



Stage 3: Orchestration (Days 46-90) Now you connect the workflows. Research → Outreach → Follow-up → Handoff.

This is where the multiplication happens.
The CROs getting this right aren't buying more tools.
They're TRANSFORMING how their existing team operates with the tools they already have.

Talent and ramp problems don't get solved by better hiring.


They get solved by making your average rep perform like your top 20%.


What's your current rep ramp time? 

I'm curious how this compares across industries.

Google's Gemini 3 Just Dropped: What Actually Matters 🚀

Here's what you need to know about 
Gemini 3—no marketing fluff, just business impact.

The Four Capabilities That Change Your Implementation Calculus
1. Economics That Unlock Stalled Projects

What's New:
Trained on Google's TPUs (not expensive NVIDIA chips)
Mixture of Experts architecture = aggressive pricing
1M token input + 64k output capacity

What This Means: Projects that didn't pencil out last quarter suddenly meet ROI thresholds. Revisit your shelved automation initiatives—the math just changed.


2. Computer Use Finally Crosses the Business Threshold
The Benchmark: 73% on ScreenSpot Pro (2x better than anything else)

What It Tests: Real enterprise software—AutoCAD, Photoshop, complex business applications

Immediate Applications:
Automate work inside your actual software stack
Generate technical documentation from screen recordings
Build workflows that span multiple enterprise tools
NOTE: The "AI can't handle complex software" excuse just evaporated.


3. Advanced Reasoning for Complex Analysis
The Numbers:
23% on MathArena (competitors: ~1%)
30% on ARC AGI 2
Flawless on AIME mathematical reasoning

Business Translation:
Financial modeling and scenario planning
Pricing optimization with multiple variables
Risk analysis and probability modeling
This isn't incremental—it's a category leap in analytical capability.


4. Coding & Automation Excellence (With One Gap)
Where It Dominates:
2400+ Live Code Bench ELO rating
#1 on tool calling benchmarks
#1 on terminal operations
Where It Doesn't: SWE Bench (complex software engineering)
Practical Reality: Exceptional for business process automation, workflow scripting, and API integrations. Not yet the definitive choice for complex software development.
This is what separates practitioners from hype merchants—I tell you where it excels AND where gaps remain.

The Uncomfortable Competitive Truth
Google has four advantages no competitor can match: 
✓ Own the hardware (massive cost advantage) 
✓ Proprietary data at scale (YouTube, Search, Gmail) 
✓ Unlimited capital for training 
✓ World-class AI talent density

Bottom Line: They're not just winning—they're accelerating away. I don't see anyone matching this quality level in the next 3 months.


Clear proof AI progress isn't slowing down.
Its speeding up

Gemini 3.0 in 3 minutes: Preps me for $200k sales call

Gemini 3.0 just dropped.
I tested it on a $200,000 sales call prep.

What took me 10 hours now takes 3 minutes.

Here's what happened:
→ Fed it ONE prompt with research parameters 
→ Generated full competitive intelligence in real-time 
→ Built 12-slide pitch deck with speaker notes 
→ Created interactive dashboard I could actually USE 
→ Mapped objection responses for every scenario

The kicker?
It didn't just give me text.

It created a VISUAL sales prep dashboard with: 
→ Key discovery questions (clickable) 
→ Pitch strategy framework 
→ Follow-up email templates 
→ Real-time objection handler


NOTE: This isn't about replacing sales skills. It's about reclaiming 10 hours weekly so you can SELL instead of research.

I've been testing AI for 3 years across 2,400+ executives.

This is the first model where preparation time COLLAPSES without quality sacrifice.

The screen understanding score? 72.7% vs GPT's 3.5%.
You have come a long way Google since the Bard days :)

That's not incremental. 

That's transformational. 🚀

Google

95% of executives are missing GPT-5's true potential.


WHEN I see people using GPT-5 like ChatGPT 4o...

WHAT I really see is millions in missed opportunities.

I just cracked GPT-5's three game-changing features that separate winners from wannabes:

Feature #1: 

The "Rival Intelligence" Framework ⚡ → Single prompt = 5 expert perspectives instantly → Customer + Shareholder + Employee + Competitor + Regulator analysis → I fed it Shopify's leaked AI memo - got strategic recommendations in 30 seconds


Feature #2: 

Your Data = Your Competitive Moat 🎯 → Connect HubSpot, Google Drive, Box directly to GPT-5 → Extract client dreams, fears, frustrations from 90 days of data → Generate personalized scripts + strategies from YOUR actual conversations


Feature #3: 

Agentic Workflow Mastery 🚀 → "Single-pass" prompting = no more back-and-forth → Deep market recon + strategy + execution in ONE prompt → Think strategic consulting team, not search engine


HOW to implement today:

Challenge Current Thinking: Use rival perspectives on your biggest decision

Mine Your Gold: Connect your CRM and ask for pattern analysis

Go Agentic: Create workflows that think 5 steps ahead

I'VE tested this with 2,500+ executives.

The results? Superhuman decision-making in seconds.

Most leaders are playing checkers with AI.

Smart ones are playing 4D chess.

Which game are you playing? 👇

Download The Ultimate GPT-5 Go-To-Market Prompting Toolkit: 
Profile link

Gpt 5 not Gpt 4

4 hours of GTM work → 15 minutes. Same outcome. ~2x quality.
Here’s what one AI workflow did for me last week:


The workflow (all in a single thread):

-Follow-up email with clear actions for the prospect.
-Deal coaching on how qualified it was through MEDDICC-style criteria.
-Next best actions based on my notes and pipeline context.
-Full proposal in my branding, with all the details tightened up.


🔥 Total time: ~15 minutes.

Old way: 3–4 hours of deep work.

Quality: better structure, cleaner narrative, stronger visuals than if I white-knuckled it myself.


This is why I think we need a new standard for AI ROI.

Not “I paid $100 for licenses, where’s my $40K?”


But:
Hours collapsed per workflow
Quality lift vs manual
Capacity unlocked per rep per week


The beautiful thing about it was that it wasn’t a complex Agent build.

It was a stacked workflow of 2 tools.


Those are the leading indicators that create the compounding ROI later.


Question for you: Where in your GTM motion would a “4 hours → 15 minutes” shift change the quarter?

WHEN I hear how executives are positioning AI to their CFOs and boards...
It tells me everything about whether they'll win or lose.

Last week, a revenue leader told his CFO:
"If I have to fire somebody to fund this, I'm going to do it. Because I can do it for a fraction of the cost of my worst performing salesperson."

His logic?

25 salespeople. Zero dedicated analysts. Zero sales support staff.

This is not we need to replace EVERYONE with AI

This is how can I maximize my entire team with AI.

But with AI assistants built for their specific workflows?
Every single rep gets the equivalent of a dedicated team of 5-10 specialists available 24/7 . 

For a fraction of the cost of one FTE.

THAT'S how executives need to be thinking.

Not: "Can we afford AI training?"
But: "Can we afford NOT to?"

Here's the shift I'm seeing from leaders who get it:

1️⃣ They frame AI as CAPACITY—not a line item expense
2️⃣ They compare the cost to headcount—not to other software
3️⃣ They position it as competitive survival—not innovation theater

The best revenue leaders aren't asking permission.
They're telling their boards: "We're doing this one way or another. I'd rather do it with your blessing."

That's executive confidence in 2025.

How are YOU positioning AI investments to your leadership team?

The "Pilot Purgatory" Problem
The traditional software playbook is KILLING your AI ROI.

Here's what I mean:
I've seen dozens of Public, VC, PE-backed companies spend 6-9 months "validating" AI pilots.

By the time they're ready to scale? The technology has already evolved 3 generations.

OpenAI just released data showing they've shipped a new feature every ~3 days this year.


Your quarterly validation cycle can't keep pace with weekly capability improvements.


Here's the uncomfortable truth most consultants won't tell you:
The companies stuck in pilots aren't failing because of technology.


They're failing because they're applying OLD playbooks to NEW capabilities.
🔹 Traditional software: Start small → Test a specific use case → Scale once proven 

🔹 AI implementation: Build learning systems → Iterate in weeks → Scale while improving


The difference?
AI systems don't follow fixed rules. 
They generate outputs based on patterns, data, and context.


Success changes with new inputs.

That means quality and reliability require CONTINUOUS evaluation, feedback, and iteration.


NOT a 6-month pilot program that measures last quarter's metrics.


Here's what I've seen work in 60-day transformations:

Shorter loops (weekly, not quarterly reviews)

Decentralized learning (champions across every team)

Immediate measurement against business outcomes


NOTE: The companies reaching production consistently share one trait—they balance speed with structure and evolve as fast as the technology.



Is your AI strategy moving at the speed of ChatGPT's feature releases, or the speed of your annual planning cycle?

Google Just Opened a 90-Day Competitive Window
Most businesses will miss it entirely.


I've watched this pattern for 3 years across 2,500+ executives:


Early movers capture 12-18 months of market advantage. Hesitators spend years catching up.


It's happening again. Right now.


The Tests That Matter
I spent 48 hours stress-testing Gemini 3 on real business scenarios:
Sales Prep: 

3 hours → 10 minutes (same quality, better output) 

Website Build: 3 weeks → 63 seconds (921 lines of functional code) 
Analytics Dashboard: 2 weeks → minutes (production-ready)

Zero exaggeration. I recorded everything.


The Business Math

Your team of 50 can now perform like 60-75. 
Your content velocity increases 5-10×. 
Your decision speed accelerates 10-20×.


Same headcount. Same budget. Different results.


Your 3-Stage Play
Days 1-30: Individual team members test on daily tasks (10-20% time savings) 
Days 31-60: Scale across departments (30-40% capacity increase) 
Days 61-90: AI-first workflows deployed (50%+ multiplication)

NOTE: After 90 days, this becomes table stakes. The advantage window closes.

The Split Happening Now
Group A: Testing this week, implementing next week, scaling by month-end Group B: "Monitoring the situation"
Group A dominates their markets by Q2 2025. Group B explains market share losses to their boards.


Your 7-Day Action Plan


Day 1-2: Identify your highest-value, most time-intensive process 
Day 3-4: Assign your best operator to test Gemini 3 
Day 5: Document time/capacity savings Day 6-7: Scale or course-correct

The Question


You won't get disrupted by AI.

You'll get disrupted by competitors using AI better than you.

Are you testing this week, or "waiting for more information"?

The 90-day clock is ticking ⏰

A CRO of a Publicly Company told me he'd trade his worst performing salesperson to fund AI transformation.

Not fire a large part of his team because of AI.

Trade the lowest performing person FOR AI.

That conversation revealed something I've now confirmed across hundreds of executive conversations:

The leaders who will win in 2026 aren't thinking about AI as a technology decision.


They're thinking about it as a RESOURCE ALLOCATION decision.

After 3 years and 2,500+ executive AI implementations, here are the 7 beliefs driving their 2026 AI strategies:

1. AI is strategically non-optional—but must be grounded in execution 
🔹 Not a side experiment. Not a pilot. 
🔹 They want AI hardwired into campaigns, daily activities, and systems.


2. Willing to fund AI by reallocating headcount, not adding spend 
🔹 One mid-performing rep = one AI transformation budget. 
🔹 They're in reallocation mode, not expansion mode.


3. Training must be the most relevant enablement they've ever had 
🔹 No theory. No hype. 
🔹 People must leave sessions doing specific things differently TOMORROW.


4. Transformation must be phased and resilient to changing priorities 
🔹 They're notorious for changing direction. 
🔹 Crawl-walk-run beats big-bang every time.


5. Time and change-capacity are the scarcest resources 
🔹 AI work must be time-neutral or time-accretive. 
🔹 It can't feel like "another initiative."


6. AI must compensate for structural underinvestment 
🔹 No dedicated data analysts. Underfunded marketing. 
🔹 AI is the force multiplier that covers the gaps.


7. The AI story must be consistent across sales + marketing + leadership 
🔹 One storyline. One SOW. 
🔹 CFO and CMO must see their words in the program.


NOTE: The bar has changed. Executives will trade headcount for AI—IF it clearly drives daily behavior change and revenue outcomes.


Which of these 7 beliefs resonates most with what you're hearing from leadership?


Struggling to figure this out? 

DM me to see how your peers are tackling this for 26 and beyond.

GPT 5.2 is expected to be released any day. Here’s what it REALLY means (Non-technical breakdown)

I've been studying AI benchmarks for 3 years.

If the benchmarks are true what OpenAI will drop with GPT-5.2 is different.

Here's what these numbers actually mean for revenue leaders (in plain English):

The headline: GPT-5.2 is crushing every other model across 20+ benchmarks if these benchmarks are TRUE.

Not by a little. By a lot.

🔹 **Academic reasoning:** 67.4% vs. Gemini's 37.5%
🔹 **Visual reasoning puzzles:** 62.2% vs. 31.1%
🔹 **Agentic tool use:** 93.9% vs. Claude's 84.7%
🔹 **Long-horizon tasks:** $6,025 value vs. competitors under $600

Here's what this means for your team:

1. Reasoning just got real. This isn't "summarize my email" AI. It's "analyze this complex deal and tell me what I'm missing" AI.

2.Agentic work is here.The model can now execute multi-step tasks autonomously. Think: research → analyze → draft → refine. Without babysitting.

3.The gap is widening.
 Teams using GPT-5.2 will operate at a different level than those stuck on older models.

NOTE: Benchmarks aren't everything. Real-world implementation matters more.

But if you've been waiting for AI to "get smart enough" to handle complex revenue work?

That moment keeps arriving with every new model release.

What's your take—what do you think this change could do for your day to day work?

99% of people are using GPT-5.1 completely wrong.

You're losing 10+ hours EVERY WEEK.

GPT-5.1 just dropped 3 superpowers most people are 
COMPLETELY MISSING:

The 3 Superpowers: 

→ Speed & Warmth: Eliminates robotic AI output 
→ Adaptive Reasoning: 85% accuracy (10 points higher than GPT-5)
→ Instruction Precision: Zero regeneration cycles

The breakthrough moment?

GPT-5.1 caught a CRITICAL math error in my $100M revenue plan and said:

"Let's treat this like a real revenue plan, not a poster for the wall."

That's not a tool. That's a TEAMMATE.

The Mistake Everyone Makes: 
→ Using Instant mode for strategic work (WRONG) 
→ Using Thinking mode for volume tasks (WRONG)

I break down all 3 superpowers in 17 minutes: 
→ How to access each TODAY → My 4-step prompt framework
→ Real examples of AI catching million-dollar errors


Which superpower will unlock YOUR 10 hours? 👇

Gemini 3.0 🍌+ Grok 4.1 Imagine

I used a recursive prompt for the image with Gemini and then had Grok turn it into a video.

Pretty sweet combo.

Some of the most fun I ever had. 

Great time with Frederic Aouad, Negin Kamangar, and Kristi Gaudioso the GTM conference earlier this year. 

One of the things that we had a blast with was editing pictures in real-time. Just the jump from Nano Banana 2 to Nano Banana 3 from Gemini has been insane. 

I remember when I first tried this with this picture, it would actually change the coloring and facial expressions and other areas of the people. 

Now with just the simple prop below, all you could do is massively edit something in a real simple way (like give us all afros.)

PROMPT

Make thes people have afros like they are from the 70s

This unlocks so many use cases.

Which picture is better?  A or B?

No alternative text description for this image

Gemini 3.0 in 3 Minutes: Live website & Dashboard build (INSANE RESULTS)

This one blew me away.  

After playing with this all weekend Google really knocked the cover off the ball.

Turning cold leads into warm leads.

This was a combo of Gemini 🍌and @grok 

The ability to generate an insane scene and then animate it can be done for $60 per month of what would have taken $10,000 in the past in addition.



It can be done from your phone in literally 5 minutes vs a multi-week process.



Insane that this is possible.  And opens up creativity to so many people.

Sometimes I think we overcomplicate AI in sales.

Everyone wants the perfect playbook, the secret sauce, the one tool that will magically double revenue.

But the truth is, most of the wins I’ve seen come from small, gritty experiments.

A team tries a new AI-powered lead scoring model. It flops. They tweak it, try again. Suddenly, they’re booking 30% more meetings.

Or a manager uses AI to analyze call recordings. Finds out the top reps ask twice as many questions as everyone else. Next week, the whole team is trying it. Win rates jump.

It’s not glamorous. It’s not always scalable. But it works.

AI isn’t a silver bullet. It’s a thousand little adjustments, stacked up over time.

The teams that win aren’t the ones with the biggest budgets. They’re the ones willing to get their hands dirty, fail fast, and learn faster.

So if your AI project feels messy, you’re probably on the right track.

What’s the smallest experiment that made the biggest impact for your team?

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