Can Rules and Breakthroughs Be Best Friends?

  • Author: khader.alnoubani@gmail.com Publish date: Tuesday، 19 August 2025 Reading time: 3 min reads

How smart regulation can accelerate innovation rather than hinder it in the age of AI and blockchain.

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Imagine trying to referee a Formula 1 race using traffic laws from the horse-and-buggy era. That’s essentially what governments worldwide face as AI, blockchain, and biotech sprint past outdated rulebooks.

The Innovation Paradox

We’re living through a technological explosion. AI went from playing chess to diagnosing cancer in a heartbeat. Startups can go global before regulators finish their morning coffee.

For decades, we’ve assumed innovation and regulation were natural enemies. But what if they could be allies instead? What if regulation could actually accelerate progress rather than strangling it?

Enter the Sandbox Revolution

The financial world discovered the secret first. “Regulatory sandboxes” let companies test wild ideas with real customers but with training wheels on. It’s like a playdate where everyone learns together.

Success stories are piling up:

  • Saudi Arabia’s SAMA sandbox enabled digital-only banks like STC Bank and D360, transforming banking for millions of young Saudis
  • Singapore’s fintech sandbox birthed mobile payment systems now used by millions
  • Healthcare sandboxes fast-tracked AI diagnostics that might have taken decades to approve

Think of it as a controlled experiment where everyone wins: innovators get to play, regulators learn what works, and consumers stay protected.

Going Agile: Regulation at Startup Speed

Smart regulators are stealing Silicon Valley’s playbook. Instead of carved-in-stone laws, they’re creating “living” rules that evolve as fast as the tech they govern.

This means:

  • Sunset clauses that force regular reviews
  • Rapid response teams that can update rules in weeks, not years
  • Real-time monitoring using AI to spot problems before they explode

The AI Test Case

Nothing tests this budding friendship like artificial intelligence. AI doesn’t fit in neat boxes; it’s everywhere, evolving daily, and potentially world-changing.

The global response? A fascinating experiment in itself:

  • Europe started strictly, but is now backing off to avoid an innovation exodus
  • The US began hands-off, now scrambling to catch up
  • Asia mixes government support with smart experimentation

We don’t need more or less regulation; we need smarter regulation.

Risk-Based Reality Check

Here’s the breakthrough: Not all innovation is created equal. An AI recommending movies? Let it run free. An AI making parole decisions? Watch it like a hawk.

This risk-based approach focuses firepower where it matters, allowing harmless innovations to flourish while keeping the dangerous ones in check. It’s how best friends operate, knowing when to give space and when to step in.

The Collaboration Imperative

The old model—regulators dictate, companies comply— is dead. Today’s winning formula brings everyone to the table:

  • Tech companies share what’s possible
  • Academics predict what’s coming
  • Citizens’ groups define what’s acceptable
  • Regulators make it all work together

What’s Next?

The future of regulation looks more like jazz than classical music—improvised, responsive, collaborative. Regulators are using AI to monitor AI. Countries are recognizing each other’s safety certifications. Real-time data replaces guesswork.

The bottom line: When rules and breakthroughs become best friends, magic happens. Smart regulation doesn’t slow innovation; it channels it, like riverbanks that turn chaotic flooding into powerful hydroelectric energy.

In this new world, the question isn’t whether to regulate, but how to create partnerships that work. The winners will be societies that master this friendship, creating ecosystems where breakthrough technologies can flourish safely.

Because when innovation and regulation learn to play nice, we all win.

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    Author khader.alnoubani@gmail.com

    A Chief Data & Digital Consulting Executive with more than 22 years of experience helping Tier-1 banks, fin-techs, insurers, and public entities across the GCC transform data into compliant, revenue‑generating assets. He currently serves as Group Director - Data & AI at Geidea and as a trusted advisor to leading financial institutions, where he has spearheaded multimillion-riyal portfolios covering cloud modernization, AI-driven risk management, advanced analytics, and enterprise-wide data governance and privacy programs aligned with NDMO, PDPL, and global regulatory standards.Khader holds an MBA, an Executive Professional Master in Islamic Finance, and a Bachelor’s degree in Computer Science. His work bridges both practice and thought leadership: he has published peer‑reviewed research on algorithmic optimization, including the N‑Queens Problem, and is a frequent international contributor on data strategy, compliance, and digital transformation.

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