A recent Reuters investigation revealed that OpenAI, Google, and xAI are shelling out compensation packages that rival professional sports contracts, with top AI researchers now commanding $10-20 million annually, complete with private jet courtships, and multi-million dollar retention bonuses.

In other words, Silicon Valley’s AI talent war has reached NBA-level intensity as companies treat elite researcher hiring like drafting franchise players.

The Bigger Story

The numbers are staggering, of course. But the courtship tactics have gone full Hollywood too:

• Lunch with Google founder Sergey Brin
• Poker games at Sam Altman’s house
• Private jet visits from eager investors
• Personal calls from Elon Musk to close deals

And what justifies all this is the true scarcity of the talent pool. We’re talking about a few dozen to maybe a thousand people worldwide who can genuinely push AI’s frontier forward – which explains why the dynamics have gotten so wild:

• OpenAI offered key researchers $2M cash bonuses and $20M+ equity increases to keep them from joining Ilya Sutskever’s new startup
  
  
• Mira Murati recruited 20 top researchers before announcing her company, then raised $2B in seed funding with no product
  
  
• Mark Zuckerberg has been personally reaching out to DeepMind researchers, trying to recruit them to Meta

And the scouting tactics? They’re getting analytical. Zeki Data is now using Moneyball-style techniques to identify undervalued AI talent – essentially scouting researchers the same way baseball teams scout players with overlooked potential.

Why You Should Care

For compete pros and PMMs, this talent war reveals something interesting 👇

In emerging tech, your biggest moat might not be your tech stack or funding, it’s the humans who truly understand how to push boundaries.

Capital still matters. Distribution still matters. But when the right team of researchers can help a startup leapfrog incumbents (or help those incumbents defend their position), talent becomes a force multiplier.

The catch? It’s harder to track than funding rounds or product launches, which means the compete pros who do track it could gain a serious edge.

😀 The secret to winning the AI wars? Actual humans. Go figure.

Tell me if this sounds familiar.

Your rep’s working a competitive deal, and the buyer asks:

“How do you stack up against Competitor X?”

There’s no battlecard. So the rep wings it – and the deal starts to wobble.

These make-or-break moments? They happen every day.

And they’re exactly why we built Klue’s Competitor Profiles and Knowledge Hub.

Here’s what you get with these new capabilities 👇

→ AI-generated competitive profiles covering your entire landscape
→ Built using context from your GTM, positioning, and product docs
→ Refreshed daily, available on-demand, and used in Deal Tips

No more guessing. No more scrambling. Just accurate, approved answers — even for ankle-biters.

Last week, Adam and I sat down with Cody Bernard (Director of Product Marketing at Klue) and Andy McCotter-Bicknell (Product Marketing, AI at Apollo) to talk about one of the most overlooked tools in competitive positioning: the value wedge.

Those conversations led to a new guide packed with tactical advice. But if you’re short on time, here are the essentials 👇

What is a value wedge?

A value wedge is the intersection of:

• What your product does exceptionally well
• What your competitor can’t easily match
• What the buyer needs solved right now 

Sounds obvious. But in practice, many teams confuse wedges with features, and miss the mark when it comes to finding them.

🎯 Cody’s 5-step process for finding wedges – the right way

To help PMMs turn this theory into practice, Cody shared his five-step method:

1. Start with buyer problems, not competitors

Skip the feature matrix. Start with what’s broken for your buyer. Cody leans on win-loss interviews to uncover pain points that actually influence purchase decisions.

2. Map the buyer’s ideal solution

Ask: what would “better” look like to this buyer? Focus on outcomes, not features. Think in terms of jobs-to-be-done, desired benefits, and emotional triggers.

3. Connect your product to those problems

Now you layer in your product, but always in the buyer’s terms. Cody’s team builds messaging around a trigger → pain → impact → solution → benefit framework to keep the story grounded.

4. Identify real competitive gaps

This is where the wedge starts to form. Where do competitors fall short on solving the problem? What trade-offs have they made? Tools like Klue’s Competitor Profiles help validate this with real data.

5. Expect your wedge to change

Markets evolve. So do buyer expectations and competitive dynamics. Cody recommends quarterly wedge reviews to make sure reps are always working from up-to-date intel.

❤️ Cody take we loved

Your value wedge is a dynamic part of your strategy. As markets shift and competitors change, so should your wedge. What works against one competitor might fall flat against another. That’s why Cody pushes beyond quarterly reviews, encouraging teams to regularly revisit their wedges and partner closely with sales to keep them sharp, relevant, and grounded in real-world deals.

❤️ Andy take we loved

The value wedge should be front and center in a rep’s first demo. But most of the time, it’s not. Reps are focused on building rapport, running the deck, and answering questions. Meanwhile, they’re missing the moment to frame the deal on your terms. Andy’s advice? Make the wedge a first-demo priority. When reps go in first, help them anchor the buying criteria. If they’re second, help them reframe the conversation. Either way, PMMs have a massive opportunity to shape how the entire deal unfolds by establishing their wedge early. 

📌 Want to go deeper?

We just published a full blog unpacking Cody’s framework in detail.

We also dropped a new video with Andy McCotter-Bicknell, walking through how to use your value wedge inside the demo.

Read our guide to finding your value wedge
Watch Andy’s video

Here’s what you missed on the Compete Community discussion board 👇

• Claire is keen to hear how you engage execs in your win-loss program.
  
  
• Jacques is curious if anyone’s found a ‘sweet spot’ for the frequency of competitive digests?
  
  
• Josh wonders if LLMs can actually be trusted for competitive research?
  
  
• Cody shared his ‘value wedge framework’ to help your sellers win early
  
  
• Niko (hey that’s me) asked ‘what’s the wildest competitive move you’ve seen?‘

Don’t forget: You earn points every time you post and comment to climb the Community leaderboard.

Upcoming Commmunity Events

Dinner & Dialogue: AI’s Role in Product Marketing
📆 June 11 @ 6:15pm ET
📍NYC Dinner – register now

5 Plays to Support Competitive Deals (yes, with AI)
📆 June 12 @ 9am PT
📍Virtual event – register now

Something new is coming to the world of competitive intel.

It’s faster, sharper, and closer to the action than anything before it.

Stay tuned.

Product marketers shouldn’t have to choose between being strategic or helping sales win deals. But when every competitive ask becomes a fire drill, you lose time, credibility – and revenue.

That’s why we’re hosting a virtual event built for PMMs and compete leaders who want to scale their impact and influence revenue with AI.

🗓️ 5 Plays to Support Competitive Deals (yes, with AI)

June 12th | 8am PST/11amEST

🎙️ And now, the speaker lineup is live.

You’ll hear from some of the sharpest minds in compete and product marketing:

• Clara Smyth, Competitive Consultant, Klue

• Jason Hersh, Principal, Market Intelligence, Gainsight

• Cody Bernard, Director of Product Marketing, Klue

• Kim Bauer, Director of Competitive Intelligence, SentinelOne

You’ll walk away with:

• Templates to identify threats and boost seller confidence

• Frameworks for shaping buying criteria and following up with fire

• Strategies to scale enablement without being everywhere at once