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Nextness is supported by an AI consultancy helping Australian businesses adopt emerging technology responsibly.
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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Spatial Computing Beyond Gaming: The Industrial Applications Nobody Talks About
Everyone's focused on VR gaming and consumer AR. Meanwhile, spatial computing is quietly transforming manufacturing, maintenance, and industrial training in ways that actually make money.
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Why 2026 Is the Year AI Agents Actually Get Useful
AI agents have been promised for years. Most attempts have been underwhelming. But something's shifted in 2026—the technology, the infrastructure, and the use cases are finally aligning.
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Ambient Computing Is Quietly Replacing Your Screen Time
The shift from screens to sensors, voice, and contextual computing is accelerating. Here's what's actually working and what's still vapourware.
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Vertical AI Agents Are Coming for Horizontal SaaS
Why industry-specific AI agents are outperforming general-purpose tools, and what this means for the next wave of enterprise software.
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Edge AI Chips: Why Processing Data Locally Matters More Than Ever
Sending everything to the cloud for AI processing made sense five years ago. In 2026, edge AI chips are changing the calculation. Here's why local inference is gaining ground.
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Quantum Error Correction in 2026: The Milestones That Matter and What's Next
Quantum error correction is the bottleneck standing between noisy qubits and useful quantum computers. Here's where the field actually stands in February 2026.
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AI Agents Meet IoT Sensors: The Rise of Autonomous Environments in Smart Buildings
How the convergence of AI agents and IoT sensor networks is creating buildings that think, adapt, and manage themselves without human intervention.
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Neuromorphic Computing in 2026: Where Intel's Loihi and IBM's NorthPole Actually Stand
A reality check on neuromorphic chips - the brain-inspired processors that promise radical energy efficiency. What's working, what's hype, and who's ahead.
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Spatial Computing in 2026: Beyond the Apple Vision Pro Hype
Apple Vision Pro launched to huge fanfare. A year later, where does spatial computing actually stand? The answer is more interesting than you'd expect.
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Synthetic Data Is Quietly Replacing Real Data for AI Training
Real-world data is expensive, messy, and privacy-fraught. Synthetic data generation might solve all three problems at once.
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OpenClaw and the Rise of Enterprise-Grade Open Source AI
Why 2026 is the year managed AI agent platforms go mainstream — and what it means for businesses ready to move beyond proof-of-concept.
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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.