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Hello again, Leaders!

The AI revolution isn’t waiting for anyone, least of all enterprises that think they can hold out for a “perfect” moment to adopt it. Today we’re looking at how Riyadh Air and IBM are building an AI-driven airline, what it means to assess your company’s AI maturity, how AI is rewriting the playbook for TV production, and why EU copyright reform is crucial for a fair AI future. Let’s dig in.

Riyadh Air and IBM Are Building an AI-Driven Airline—Here’s Why It Matters

Riyadh Air, Saudi Arabia’s new national carrier, is teaming up with IBM to launch an AI-driven enterprise. The goal? Enhance passenger experience, streamline operations, and redefine how airlines interact with customers and employees.

Some key takeaways:

• AI will play a central role in real-time decision-making, helping manage flight schedules, optimize fuel efficiency, and improve customer service.

• Personalized passenger experiences will be at the forefront—think predictive in-flight services and seamless trip planning based on behavioral data.

• AI adoption at this scale signals that legacy industries are no longer AI skeptics—they’re all in.

For businesses, this is another example of how AI isn’t just for cutting-edge tech firms. It’s becoming the backbone of customer experience strategy across industries.

What’s Your Company’s AI Maturity Level?

MIT Sloan recently laid out a framework for assessing AI maturity—a critical checkpoint for enterprises that want to stay competitive. The scale ranges from:

1. Foundational: Experimenting with AI but not fully committed.

2. Operational: AI is integrated into workflows but not optimized.

3. Strategic: AI is driving measurable value and decision-making.

4. Transformational: AI is a core driver of business strategy and innovation.

Why does this matter? Most companies think they’re further along than they actually are. The reality: AI maturity isn’t about how many AI tools you use; it’s about how deeply AI is embedded in your organization’s strategic decision-making.

If AI adoption still feels like an “extra,” rather than a necessity, you’re not at the transformational stage yet.

TV’s AI Transformation: The Most Exciting Time in the Industry?

At Mip London, industry leaders called AI the biggest shift in TV history. This isn’t just about AI-generated scripts—it's about AI streamlining production workflows, post-production editing, and even audience insights.

What’s changing?

• Faster production cycles: AI is reducing the time between concept and distribution.

• Smarter audience targeting: AI-driven analytics are helping networks understand what viewers want before they even realize it.

• Cost efficiencies: AI tools are automating expensive, time-consuming post-production processes.

If you’re in a content-driven business (and let’s be real, every business is), AI’s ability to personalize and predict audience demand should be on your radar.

EU Copyright Reform: Why AI Needs a Level-Playing Field

The EU is under pressure to modernize copyright laws so AI companies can train models more fairly. Right now, AI developers face complex licensing barriers when training models on copyrighted material, while Big Tech firms already sitting on massive datasets have a competitive edge.

What’s at stake?

• A more balanced AI ecosystem: Without reform, only the biggest AI players will dominate, limiting innovation.

• Greater clarity on AI’s legal gray areas: Companies need to know what’s fair use vs. copyright infringement.

• Better incentives for creators: AI needs access to data, but content creators need to be compensated fairly.

If you’re working in AI (or even just using AI-generated tools), expect major regulatory shifts in the coming years. Now is the time to stay ahead of compliance challenges.

TL;DR:

• Riyadh Air + IBM: AI-powered airline operations and customer experiences are the future.

• AI maturity matters: Most companies aren’t as advanced as they think—real transformation means AI is core to strategy.

• TV’s AI revolution: Faster production, smarter audience insights, and game-changing automation.

• EU copyright & AI: Fairer AI training laws are needed to prevent Big Tech from monopolizing the industry.

Whether it’s enterprises assessing their AI maturity or policymakers scrambling to keep up, one thing is clear—this is just the beginning. The businesses that embrace AI with strategy (not just hype) will be the ones leading the future. So, where does your company stand? Hit reply, and let’s talk about making AI work for you—before it starts working on you.

Stay sharp,

Cat Valverde
Founder, Enterprise AI Solutions
Navigating Tomorrow’s Tech Landscape Together