Technical literacy isn't replacing the MBA. It's revealing what the MBA was actually selling: access. What's left now is operational execution.
Keynotes · Workshops · Labs
Based in New York & Toronto
As seen on
Hybrid CTO/CPO, patent-holder, professor. I've made these calls with real money on the line — at Meta scale, at 0→1 startup speed, in classrooms and boardrooms.
Keynotes for the future of work, media, education, and emerging tech. Every one runs on frameworks + toolkits I've built from real calls and shipped work, not theory — the workshops are where the room does the work itself.
What's left to own when every competitor rents the same models. Most companies and people are building homes on rented land. We've seen this before.
Technology stopped being the differentiator a long time ago. I'll show you what replaced it, why that's good news, what you can practically do, and how systems thinking keeps you ahead when the tools change underneath you — in your career or your market.
How the digital, mobile, and platform waves broke, why incumbents missed every signal, and where the same tells are showing up right now. The more things change, the more we realize we're back in the 90s again. Seeing it early isn't intuition — it's a system: mapping what happened, the levers driving change, and how to predict the next one before it lands. Then you build where everyone else will end up in three years — and arrive first.
Gen X reskilled every 10–20 years. Millennials, every five. Now it's one to two — sometimes quarterly. The half-life of a skill is shorter than the time it takes to learn one, and in 2026 China deleted 12,200 degree programs and replaced them with AI. So what do you learn, and who do you hire, when the skills themselves are becoming furniture?
Every session is tailored — tell me which one and what your goals are.
Judgment is knowing what's worth building and what to kill. Taste is knowing it before the data does.
Both are teachable. 11+ frameworks, 3 moves, and your room walks out with the systems to act before the window closes.
Pattern-recognition for what actually shifts: cost, workflow, value chain, behavior, moats.
The difference between an interesting problem, one someone will pay to solve, and one you can actually hold — before you spend two quarters on it.
Judgment that survives you and scales to your tools and teams, human or AI. How to make things happen once the decision is made and it's time to show results.
The teaching practice
Not just lectures. Working sessions built on the frameworks & interactive toolkits — every one ends with something on the page that wasn't there when you walked in. Learn by doing the work.
Workshops · Labs · Webinars · Cohorts · 1:1 intensives · Custom curricula
A rooftop masterclass, oversubscribed 8×. 100+ founders pressure-testing what's actually worth building before they build it.
Read the recap ↗
A full semester running the frameworks with undergrads building real products — the same tools the exec rooms get, taught end to end.
A room of operators working through what AI actually changes about their jobs — and what to do about it on Monday.
Half a day mapping an industry's disruption levers with the leadership team that has to act on them.
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Selected press, podcasts, and stages. Scroll the reel.
Technical literacy isn't replacing the MBA. It's revealing what the MBA was actually selling: access. What's left now is operational execution.
Why AI is already furniture, not a differentiator. What's actually left to own when everyone rents the same models. And how the best leaders decide what not to build, and see what's coming before their competitors do.
A fireside chat with Jason Feinberg of KOSIGN on what it actually takes to scale music tech: trust, rights, and the messy middle between idea and impact.
Masterclass
A sold-out masterclass on a Manhattan rooftop, oversubscribed 8x. Founders pressure-testing what's actually worth building before they build it.
Read the recap ↗Alisha Outridge has spent 15+ years building AI/ML products at Meta, Reuters, TuneCore, and 2+ acquired startups. She founded Byte&Chord in 2024 to take that work directly to the people, schools, and organizations that need it.
At Meta, she led product for Search and People Data across 500M+ daily users and co-invented privacy-smart personalization technology (US10467282B2), prototyped at a Facebook Hackathon. As CTO & Chief Product Officer of TuneCore, she led AI personalization that drove +25% revenue and +30% engagement across 500K+ creators. As CPO of FlyBy, she and her team shipped the computer vision and AR work that seeded Apple's ARKit; as CPO of WHIM, she scaled a $1B art-forward smart-screen platform to 3.3M+ daily viewers across NYC Transit.
Today she teaches at Brown University and Hunter College CUNY, advises the U.S. Government on select AI governance projects, and runs her own curriculum through the AI Founder Playbook.
A proud native New Yorker, she's an oil painter, standup comedian, and avid swimmer (mermaid tail included). At heart, she's an artist who does deep tech — a builder of both AI and HI, Human Intelligence.
Cohorts, masterclasses, and labs for founders, operators, and students. The frameworks, taught end to end.
Explore ↗Interim or fractional CTO+CPO, strategy sprints, board advisory, and tech due diligence. When you need the work done, not taught.
Inquire ↗Faculty at universities and K-12 schools, including Brown and Hunter College CUNY. White-label curricula, guest lectures, and cohorts with education partners — plus 1:1 coaching for students, teens, founders, professionals and operators.
Inquire →Notes on judgment, taste, and what's actually worth building — as I write them. No cadence promises, no filler.
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Every session is built around the decision your audience needs to walk out with.
Or email booking@alishaoutridge.com.
Formats · fees on inquiry
Direct booking for keynotes, firesides, panels, workshops, and labs. Your answers go straight to my inbox and you'll hear back within a week.
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