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
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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.
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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.
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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.
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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.
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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.
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The AI Talent War Is Over. The AI Skills War Is Just Beginning.
The frenzy to hire AI PhDs has cooled, but the harder challenge is here: upskilling existing employees to work alongside AI. Internal capability wins.
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Edge AI Is Finally Having Its Moment - Here's Where It Actually Works
After years of promise, edge AI is delivering real results in 2026. We look at retail analytics, agriculture, industrial IoT, and why the tech finally works.
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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.
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Small Language Models Are the Real Story of 2026
While everyone watches frontier AI models grow larger, smaller specialized language models under 10B parameters are becoming the practical choice for business deployment.
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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.
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Autonomous Vehicles in 2026: Where We Actually Are
After years of hype and revision, where does autonomous vehicle technology actually stand? A realistic assessment.
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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.
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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.
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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.
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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.
Supported by
Nextness is supported by Team400, AI consultants in Brisbane working at the frontier of agentic AI systems. When emerging tech becomes ready for enterprise, they're the team that makes it work. See also AI Agent Builders Brisbane and AI Agency Australia.