Nvidia's winning competitive strategy

Hey AI Enthusiast,

Nvidia just licensed AI chip competitor Groq's technology and hired its CEO.

Non-exclusive licensing agreement. Nvidia is hiring Groq founder Jonathan Ross, president Sunny Madra, and other employees.

CNBC reported Nvidia is acquiring Groq assets for $20 billion. Nvidia said it's not acquiring the company and didn't comment on the deal scope. But if accurate, this would be Nvidia's largest purchase ever.

Groq builds LPUs (language processing units) that can run LLMs at 10x faster speed using one-tenth the energy. Jonathan Ross helped invent Google's TPU when he worked there.

Groq raised $750M at a $6.9B valuation in September. Powers AI apps for 2M+ developers, up from 356K last year.

But the real Future Friday story isn't about chip deals.

It's about what happens when AI stops pushing offers and starts negotiating with you instead.

And that's coming in 2026.

But first, today's prompt (then the future of marketing interfaces...)

🔥 Prompt of the Day 🔥

AI Prompt Library System

Act as an AI workflow specialist. Create one organized, reusable prompt library for [MARKETING FUNCTION] that eliminates repetitive prompting and saves hours daily.

Essential Details:

• Marketing Function: [CONTENT/EMAILS/ADS/SOCIAL/SALES/SUPPORT]

• AI Platform: [ChatGPT/Claude/Gemini/Multiple]

• Use Frequency: [DAILY/WEEKLY TASKS]

• Team Size: [WHO USES IT + SKILL LEVELS]

• Quality Standard: [OUTPUT REQUIREMENTS + BRAND VOICE]

• Storage Method: [Notion/Google Docs/Airtable/Internal Wiki]

• Current Pain Point: [WHAT'S BROKEN WITHOUT THIS]

Create one complete prompt library including:

1. Category organization structure (logical grouping by function and use case)

2. 25 core prompt templates (covering all common marketing tasks)

3. Variable placeholder system ([BRAND], [PRODUCT], [AUDIENCE], [TONE])

4. Output quality checklist (what makes a prompt "good enough")

5. Version control method (track what works, retire what doesn't)

6. Team sharing protocol (who accesses what, how to contribute)

7. Quick-start guide (how new team members use the library)

8. Performance tracking (which prompts save the most time)

Output as: Ready-to-use prompt library with templates organized by category, accessible to entire team.

Stop reinventing prompts. Build once, use forever.

🔮 Future Friday 🔮

AI-Negotiated Marketing: When Offers Stop Being Fixed

We're five days into 2026.

And marketing is about to change in a way most people aren't ready for.

Today, marketing pushes offers. Fixed pricing. Static discounts. Take it or leave it.

Starting this year, AI will begin to negotiate.

Not chatbots answering questions. AI systems that dynamically negotiate value, pricing, bundles, commitment terms, and access levels based on your behavior.

This is AI-Negotiated Marketing.

What It Actually Is

Users won't just "accept" or "reject" offers anymore.

AI will engage in micro-negotiations based on:

• User intent

• Willingness to commit

• Risk tolerance

• Time sensitivity

• Trust level

• Budget signals

Marketing becomes interactive value exchange, not broadcasting.

How It Works

AI detects signals:

• Price hesitation

• Feature comparison loops

• Downgrade attempts

• Cart abandonment

• Repeated visits without conversion

Instead of showing a static discount, AI responds with:

• Alternative pricing structures

• Temporary access options

• Reduced feature sets

• Shorter commitments

• Trial-to-own paths

• Usage-based pricing offers

All negotiated silently or conversationally.

Real Example: 2027 SaaS Scenario

A user visits a SaaS pricing page repeatedly.

AI notices: Interest in premium features, resistance to long commitment, high return visits.

AI responds by offering: "Try full access for 14 days, then pay only for what you use."

Another user with different signals sees: "Lower monthly price with limited features."

Same product. Different negotiated outcomes.

Why This Emerges in 2026

Several forces converge:

Static pricing loses effectiveness. Everyone's seen a discount. It doesn't move the needle anymore.

Personalization reaches saturation. Showing different headlines isn't enough. Users want different deals.

Consumers expect flexibility. Subscription fatigue is real. People want options that fit their actual needs, not preset tiers.

AI becomes trusted enough to handle pricing logic. We're past the "AI is unpredictable" phase. Businesses will let AI adjust offers in real time.

Dynamic value exchange outperforms discounts. Negotiation preserves margin better than blanket discounts.

Negotiation becomes a competitive differentiator.

What Changes for Digital Marketing

Offers become fluid. Not static anymore.

Pricing becomes contextual. What you see depends on your signals.

Funnels become dialogues. Not linear paths anymore.

Marketing teams design rules, not campaigns. You set the boundaries. AI negotiates within them.

Revenue optimization merges with UX. Pricing is part of the experience, not separate.

New KPIs That Will Matter

• Negotiation acceptance rate

• Margin preservation vs discounts

• Conversion without discounting

• Commitment length optimization

• Lifetime value stability

These replace traditional conversion rate and discount usage metrics.

The Risks

Perceived unfairness if users compare outcomes. "Why did my friend get a better deal?"

Regulatory scrutiny on price discrimination. Governments will ask if this is legal.

Need for strong transparency rules. Users need to understand why they're seeing specific offers.

Complexity in revenue forecasting. Negotiated pricing makes projections harder.

This requires careful design and clear communication.

Timeline Prediction

2026: Early experiments in SaaS and fintech. A few bold companies test AI-negotiated pricing interfaces.

2027: AI-driven flexible pricing interfaces appear in more products. Users start experiencing negotiated offers regularly.

2028–2029: Negotiation engines integrate into CRM and martech platforms. This becomes a standard feature, not a custom build.

2030: Negotiated experiences become normal for digital products. Fixed pricing starts feeling outdated.

What This Means for Marketers

If you're building pricing systems today, understand where this is heading.

The brands that win in 2027-2030 won't be the ones with the best static offers. They'll be the ones whose AI systems can negotiate value dynamically while preserving margin.

Start thinking about:

• What signals indicate willingness to pay?

• What alternative structures could you offer?

• What's your margin floor?

• What negotiation rules make sense for your product?

Fixed pricing has an expiration date.

Did You Know?

Coffee shops use AI that adjusts background music tempo based on how fast they want customers to leave, speeding up beats during rush hours to increase table turnover.

🗞️ Breaking News 🗞️

Nvidia struck a non-exclusive licensing agreement with AI chip competitor Groq.

As part of the deal, Nvidia is hiring Groq founder Jonathan Ross, president Sunny Madra, and other employees.

The Numbers

CNBC reported Nvidia is acquiring Groq assets for $20 billion. Nvidia clarified this is not an acquisition of the company and didn't comment on the deal scope.

If CNBC's numbers are accurate, this would be Nvidia's largest purchase ever.

Why This Matters

Nvidia dominates AI chips. Their GPUs are the industry standard for training and running AI models.

But Groq built a different type of chip: the LPU (language processing unit).

Groq claims LPUs can run LLMs at 10x faster speed using one-tenth the energy compared to traditional GPUs.

Who Is Jonathan Ross?

Groq's founder and CEO. Known for innovation in AI hardware.

When he worked at Google, he helped invent the TPU (tensor processing unit)—Google's custom AI accelerator chip.

Now he's joining Nvidia, bringing that expertise with him.

Groq's Growth

Groq raised $750M in September at a $6.9B valuation.

The company says it powers AI apps for more than 2 million developers, up from about 356,000 last year.

Fast growth. Significant traction.

What Nvidia Gets

Access to Groq's LPU technology through licensing.

Key talent: Jonathan Ross and other Groq employees.

Competitive advantage: If Groq's efficiency claims are real, Nvidia can integrate that into its chip roadmap.

What This Means

Nvidia isn't just dominating the current AI chip market. They're acquiring the technology and talent that could disrupt them.

This is a defensive and offensive move.

Defensive: Neutralize a competitor before they become a real threat.

Offensive: Add Groq's efficiency innovations to Nvidia's existing dominance.

With Groq's tech and team, Nvidia becomes even harder to compete against.

Over to You...

Would faster, cheaper AI chips make you finally deploy AI in areas you've been avoiding because of cost or speed?

Let me know what unlocks.

To practical AI adoption,

Jeff J. Hunter 
Founder, AI Persona Method | TheTip.ai

NEW: “AI Money Group” to Learn to Make Money with AI