95% of AI Projects fail.
be in the 5%
Get ready to learn the secrets to succesfully implementing ai in your business. cut employees, reduce errors, and make your customers raving fans.
"By far, the greatest danger of Artificial Intelligence is that people conclude too early that they understand it."
- Eliezer Yudkowsky
Join Zac - the ai realist
I'm That Guy geeking out on This Stuff. HI.
MIT analyzed 300 enterprise companies that attempted to roll out transformational AI and found that 95% reported zero ROI on their projects.
What do the 5% know? They know the difference between a shiny object and a strategy. Between “my employees are excited about…” and “this is exactly how AI delivers value to our enterprise.”
I've spent the last two years helping organizations successfully adopt AI tools. I’ve seen customer service departments shrink by 35% while NPS goes through the roof. I’ve helped back office teams reduce errors from 3% to <1% on critical invoicing tasks.
There is a painful gap between the noise of Sam Altman warning about superintelligence destroying the world and the reality of how we can use these tools to get rich today.
Here's what I've learned: AI adoption isn't a technology problem—it's a change management challenge. The same frameworks that helped organizations navigate digital transformation, remote work, and other massive shifts work perfectly for AI implementation. You just need someone to show you how.
That's exactly what this keynote delivers: a practical roadmap from confusion to confidence, using real examples from organizations that got it right (and wrong).
Bottom line: AI isn't going to replace your business, but someone who knows AI
might eat your business for lunch. I’ll help you stay ahead.
Zac’s thoughts on ai:
What We'll Do:
Context
AI is new, but rolling out big tech changes is old. We need to stop thinking "This is different" and see it in the context of the many times businesses have been fundamentally altered by technology changing (PCs in the workplace, cell phones, electricity in factories).
I show real examples of who screwed it up and who got it right.
AI Strategy
The worst strategy is "I dunno team, but you need to use it!" Too many leaders are abdicating the core responsibility to lead. Nobody says you need to become the expert, but if you're waiting for someone's 14 year old kid to explain to you how it's going to make you more money, you're doing it wrong.
I'll show you what an actual strategy looks like.
Real Use Cases
Demos and use cases of how their type of business can use AI right now. Not in a theoretical future, but practically and tactically today.
Human Rollout
Too often we think the successful rollout is one where we are VERY EXCITED AND ENERGETIC. Instead, we're scaring our people. They all read and see the news, and employees don't trust management.
We need to specifically tell them how we see their jobs in the future, or they will think we see their jobs as off the org chart.
Bonus Deep Dives
Additional tools and techniques based on group interest and pace.
Workshop Format:
Hands-on workshop - bring your laptop
Follow along on the big screen, creating your own results
Practical learning - not throwing shiny objects at you
"So grateful for you, Zac. This was a big step for me in getting a grip on AI. 😎"
- Kirsten, Rocket Fuel Community Contributor