If I were entering enterprise sales today, I'd make exactly one bet.

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In 2015, I walked out of a career as a seismic engineer and into enterprise sales. Most people thought it was a mistake. No sales experience. No network. No book of business. Competing against people who'd been doing this for a decade.

What they didn't understand was that I was betting on a shift. Technical buyers were becoming more powerful. The sellers who understood their world were going to win. And I had the engineering background to speak their language.

The bet worked. Not because I was the best seller in the room. Because I understood something my competitors didn't.

I'm looking at a very similar moment right now. And I think the bet is obvious.

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If I were 28 years old and entering enterprise sales in 2026, I would bet everything on one thing: becoming the seller in the room who understands AI better than the buyer does.

Not the seller who has the best AI tools. Not the seller who can demo an AI product. The seller who deeply understands how AI is changing the decision-making processes, budget structures, and transformation priorities of the companies they're selling to.

Here's why this is the bet. Anthropic crossed a $965 billion valuation last month. Over 1,000 enterprise customers now spend more than $1 million a year on Claude. That number doubled in under two months. PwC trained 30,000 people. The company your buyer hired to advise them on AI is using AI to advise them.

The buyers are ahead of most sellers on this. They've been through AI pilots, AI failures, AI governance committees, and AI budget battles. They have opinions. They have scars. The seller who can sit across from a VP of Operations and say "I've seen four companies at your scale go through this transition, and here's what the ones that succeeded did differently" is worth 10x a seller who's never touched the problem.

This is the engineering pivot of 2026. And the window to make it is right now.

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Four steps to become the AI-fluent seller your market doesn't have yet.

1. Study one AI implementation in your target industry per week: Not AI in general. AI in your buyer's vertical. Healthcare AI governance. Financial services model risk. Manufacturing AI in operations. Each industry has specific adoption patterns, specific concerns, and specific language. Learn them.

2. Build a point of view, not a feature list: The sellers who win in complex AI deals are the ones who bring a perspective to the discovery call, not just questions. Your POV doesn't have to be perfect. It has to be informed and specific enough to spark a real conversation.

3. Understand the AI budget structure: In 2026, AI budgets often sit across IT, operations, and a Chief AI Officer if one exists. Learning where the money comes from in an AI deal changes where you prospect and how you multi-thread. This is not standard CRM knowledge. Go learn it.

4. Document your own AI transformation: Keep a private log of every time you use AI in your sales process, what you tried, what worked, what failed. This becomes your credibility. When a buyer asks "how are other sellers using this?" you are the case study. Real experience beats any vendor reference.

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Pick one industry where you sell. Find one recent AI implementation story in that industry. Read it as your buyer would. What problem did they try to solve? What would you ask them in a discovery call? Write three questions. This is the foundation of your AI-native point of view.

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What's the one thing you wish you'd learned five years ago that would have made the biggest difference in your career today?

Reply and tell me. Some answers are going on the board at my next talk.

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See you Monday.

Edward

Founder, Morning Sales

P.S. The AI-Native Sales Leader course is where I teach exactly this: how to sell AI-adjacent solutions to AI-sophisticated buyers, how to build your point of view, and how to position yourself as the one seller in your market who understands this transition at depth. $599. 200+ enterprise sellers. maven.com/edward-gorbis/the-ai-native-sales-leader