An AI Learning Mindset with Colin Campbell

What if the next fortune is written by prompts, not boardrooms?

That question kept tugging at me while listening to Colin Campbell explain a simple, unsettling truth: entrepreneurs who adopt an AI learning mindset will have the upper hand. He doesn’t just make predictions. He shares small, actionable moments that reveal how AI moves from novelty to everyday leverage.

Why change is actually a golden opening

Colin starts with a contrarian claim: change is good for entrepreneurs. I found that refreshing. He points to crypto’s leading companies — none of them were old incumbents. The lesson lands hard: seismic market shifts create room for startups to become the new giants.

That idea isn’t academic for him. Colin has built and sold more than a dozen companies, so these aren’t hypothetical examples. He treats change like a field to harvest, not a storm to avoid.

AI as a paradigm shift, not just a cool tool

Here’s what stood out: Colin insists AI is bigger than the internet or social media. It’s a wave with countless sub-waves. That claim sounds dramatic, but his anecdotes made it believable.

He described using AI to edit a music video and having the model recommend killing the first 17 seconds. Brutal, but effective. When the team followed that guidance, the video hit 100,000 views in 72 hours. I honestly didn’t expect such a blunt, practical example.

Thinking like AI: a practical shift

Colin keeps returning to a single operational idea — adopt an AI mindset. That means turning to AI first for research, troubleshooting, and creative iterations. He gives two vivid use cases: diagnosing a boat error from a photo and troubleshooting product issues that would normally require a specialist.

These are tiny victories with big implications. They show how speed and inexpensive intelligence change decision-making at the margins. Margins, remember, compound into market leadership.

AI will be lazy — but that’s useful

One of the more provocative lessons was this: AIs are lazy. They gravitate toward easily available sources. Colin used that observation strategically when a press release pushed his book’s award count into AI outputs within hours.

That moment felt like a throwback to early search-engine optimization. But it’s also an invitation. If AI looks for original, verifiable content, then producing that content becomes a direct path to being surfaced by these models.

What to prioritize if you want AI to notice you

• Create original, verifiable content — press releases, public award listings, and interviews matter more than you think.
• Repeat your core message — AI favors explicit repetition across headlines and body copy.
• Be first with answers — use AI to speed up research and product selection decisions.

Those three moves sound tactical, but together they form a simple playbook for appearing in AI-generated answers.

Start small, iterate fast

Colin’s stories are deliberately low-friction. He recommends playing with multiple AI tools and paying for premium tiers so you live inside the new capabilities. He even admits to owning a half-dozen paid subscriptions. That struck me as both practical and slightly obsessive — the right mix for an entrepreneur testing a new frontier.

He also stresses team adaptation. It’s not enough for founders to be curious. Staff must be trained to use AI as an everyday partner. That’s where actual leverage multiplies.

Opportunities and ethical blind spots

There’s clear optimism here, but not blind faith. Colin points out lagging awareness among many CEOs. That gap is an opportunity and a risk. If you move first, you gain advantage. If you misrepresent or rush without verification, the public signals AI ingests might backfire.

I found that tension the most interesting part. The future feels both rich and fragile. Small choices about content and honesty could determine whether AI elevates you or misrepresents you.

Final thought

Colin’s practical, almost playful examples made a larger argument stick. Adopt an AI-first curiosity, make verifiable content visible, and treat the emerging tools like teammates you can teach. It’s an invitation to live slightly ahead of the curve — not because the technology is magical, but because the people who use it thoughtfully will set new norms for speed, discovery, and influence.

Imagine what it would mean to habitually ask, “What would AI do next?” — and to have an answer ready.