Before We Dive In…
You’ve probably heard both extremes:
“AGI is just around the corner!” “We’re heading into another AI winter.”
Here’s the real question:
What if the ‘winter’ is exactly what we need to build something useful?
This week, I’m unpacking why AI skepticism is growing, and why that might be a good thing. A cold snap can bring clarity.
Focus: an unfair advantage for companies that build for real-world impact.
What Is an AI Winter, Anyway?
An AI winter isn’t about AI dying. It’s what happens when hype outpaces results, investor interest cools, and research funding slows.
We’ve seen it before:
- 1980s: Rule-based systems hit a wall.
- 2000s: Expectations crashed after early machine learning under-delivered.
But every winter resets the game.
“AI winters happen when the noise gets too loud. But that’s also when the signal becomes clearest.”
Source Actuaries Institute: actuaries.asn.au/research-analysis/history-of-ai-winters
Why a Chill Can Be Productive
Let’s flip the narrative: AI winters aren’t bad for builders. They’re bad for the hype machine.
Less noise = Less competition
Less froth = More signal
Less VC FOMO = More grounded use cases
“With less venture-fueled chaos, you might finally get to build the thing that actually works.”
The folks at Axios recently reported what we all know: real-world AI is hard, slow, and often unglamorous. But that’s exactly where opportunity lies.
Source Axios: axios.com/2025/09/09/behind-the-curtain-slow-hard-ai
Where AI Still Wins (Even in “a Winter”)
The durable stuff doesn’t die when winter hits. It thrives.
- Agentic AI inside workflows
- Internal automation tools
- Cost reduction + ops visibility
- Customer retention systems
If your AI app solves an expensive, measurable problem, it won’t freeze. It’ll get funded.
As Hemant Taneja (General Catalyst) put it in the Financial Times:
“We’re navigating peak ambiguity. Capital is still there; it’s just flowing toward ROI.” — FT Interview, Aug 2025
Source Financial Times: ft.com/content/2757870b-dbbf-4603-9fc3-7ccd03ffc8da
Winter Is a Competitive Advantage, If You’re Building the Right Way
This cold snap exposes weak ideas. That’s great news for real builders.
If your product disappeared tomorrow… what would break? If the answer is “not much,” you’ve got work to do.
✅ Solve hard business problems
✅ Own your data infrastructure
✅ Build incrementally toward ROI
The companies that survive this cycle aren’t loud; they’re the most useful.
3 Strategic Shifts to Make Right Now
Here’s what we’re advising our clients to do immediately:
1. Go Workflow-Centric, Not Model-Centric. Stop obsessing over the next LLM release. Start fixing real operational bottlenecks.
2. Measure Everything. Winter = scrutiny. Your AI initiative must tie back to real outcomes, not just benchmarks.
3. Build Anti-Hype Teams. Technical. Calm. ROI-driven. These are the teams that win when the market tightens.
This Isn’t the End. It’s a Reset
Every AI winter sets the stage for the next breakthrough.
🧠 The first winter gave us statistical learning
🧠 The second gave us deep learning
🧠 This one? Might give us agentic systems, new ops stacks, and vertical AI infrastructure
The Bottom Line: Winter Is a Gift
This moment isn’t a freeze; it’s a filter. And the signal is getting louder. Infrastructure matters again. Real ROI matters again.
Hype goes back to being cheap; execution is rightly crowned king.
What You Can Do
- Audit your AI product. What problem does it solve? Who cares if it stops working?
- Kill the hype deck. Build the ROI deck.
- Message me. I’ll help you pressure-test your use case, and show you how to win the winter.
Guy Pistone 3x Founder | Top 25 Tech CEOs in Boston | CEO @ Valere | Building Agentic AI for Operations
