For innovation leaders
What's next, before everyone else knows
Early signals on emerging tech, startup trends, and innovation patterns that matter.
What we cover
- Emerging technologies and early signals
- Startup ecosystem trends and patterns
- Innovation methodology and frameworks
- Deep dives on transformative tech
Who it's for
- Innovation managers and scouts
- R&D leaders tracking new tech
- VCs and startup investors
- Corporate strategists planning ahead
Latest posts
View all-
What 'AI-Ready' Actually Means for Organizations
Everyone wants to be 'AI-ready.' But the term is vague. Here's what organizational readiness for AI actually requires.
-
Where Emerging Tech Is Heading: My H2 2026 Outlook
After years of tracking emerging technology, here's my current thinking on where things are heading across AI, climate tech, biotech, and beyond.
-
AI Agents in Healthcare: Progress and Persistent Challenges
Healthcare AI is advancing, but deployment remains slower than other industries. Here's what's actually happening and why.
-
Building the Right AI Evaluation Benchmarks
Standard benchmarks don't tell you if AI works for your use case. Here's how to build evaluation systems that actually measure what matters.
-
Connecting AI to Legacy Systems: The Unglamorous Reality
Most AI implementations fail at integration, not intelligence. Here's what actually works when connecting AI to existing enterprise systems.
-
AI Agents in Financial Services: What's Deploying and What's Not
Financial services are cautiously adopting AI agents. Here's what's actually making it to production in this highly regulated industry.
-
Autonomous Vehicles in 2026: Where We Actually Are
After years of hype and revision, where does autonomous vehicle technology actually stand? A realistic assessment.
-
The AI Talent Market: Reality Versus Perception
Hiring AI talent is notoriously difficult. But the challenge is more nuanced than 'there aren't enough people.' Here's what I'm seeing.
-
Multimodal AI in Enterprise: Beyond the Demos
AI that processes images, audio, and text together is impressive in demos. Here's where it's actually finding enterprise traction.
-
AI Security: The Threats Organizations Are Missing
Traditional security thinking doesn't fully cover AI systems. Here are the emerging threats that require specific attention.
-
Making Innovation Labs Actually Work
Most corporate innovation labs produce demos, not impact. The few that succeed share common characteristics. Here's what distinguishes them.
-
The AI Hardware Landscape at Mid-2026
NVIDIA dominance is being challenged on multiple fronts. Here's the state of AI hardware and what it means for enterprises.
-
How AI Is Changing Product Management
Product managers are navigating new territory with AI products. The traditional frameworks don't quite fit. Here's what's different.
-
Open Source AI Models: When They Make Sense for Enterprise
Llama, Mistral, and other open models are increasingly competitive. When should enterprises consider them over proprietary options?
-
AI Agents in Customer Service: One Year Later
AI customer service agents were the hot deployment of 2025. A year later, what's actually working and what's been abandoned?