A Shocking Study Made Me Rethink How I Use AI — and You Should Too

I have always considered myself a cautious AI user. I do not let ChatGPT write my emails or shape my stories. Instead, I use AI primarily to look up quick facts or recall something at the tip of my tongue. To me, this felt like the responsible approach — especially as a journalist aware of AI’s hallucination issues and the constant burden of truth verification. However, a recent AI dependency study has made me question even this limited use of tools like Google Gemini for everyday tasks.

The Findings Are Harder to Dismiss Than You Think

The research, conducted through three separate randomized experiments involving math and reading comprehension tasks, revealed a startling pattern. After just ten minutes of AI-assisted problem-solving, participants who then lost access to the AI performed worse and gave up more frequently than those who never used it at all. This was not after months of dependency — only ten minutes.

What makes this AI dependency study particularly compelling is that the effects appeared across both math and reading tasks. These are fundamentally different cognitive skills, suggesting the issue is not a quirk of one type of task but a general consequence of how we use these tools. Building on this, the study found that the cause was not the AI itself — it was how people used it.

Now, on an ordinary day, I might have dismissed such research as another swing in the ongoing debate about AI’s benefits and pitfalls. But this study comes from a joint effort by Carnegie Mellon University, the University of Oxford, the Massachusetts Institute of Technology, and the University of California, Los Angeles.

How You Use AI Matters More Than How Much You Use It

The majority of participants used AI to get answers directly. These individuals showed the largest declines in performance and persistence — not only compared to the control group but also compared to those who used AI for hints and clarifications. Participants who used AI for hints showed no significant impairments relative to the control group.

In other words, people who asked AI to solve the problem outright became worse at solving problems themselves. Meanwhile, those who used it for a nudge in the right direction or for clarity remained fine — statistically indistinguishable from people who had not used AI at all. This is a meaningful distinction that reframes the conversation around AI making people less intelligent. It shifts the question from “should I use AI?” to “what am I actually doing when I use it?” That question matters whether you use AI occasionally or rely on it daily for work or school.

The Cognitive Outsourcing Trap

If you have been using AI for cognitive outsourcing — essentially handing off your problem until you get an answer back — this research suggests the habit may be quietly training you to expect rescue at moments of difficulty rather than learning to push through them. The researchers warn that if these effects accumulate with sustained AI use, current AI systems risk eroding the very human capabilities they are meant to support. You will not notice it right away, but it will become apparent the next time you are on your own.

It Might Be Time to Change Your Habits

I do not think this means you should stop using AI tools altogether. But starting today, I am going to be more deliberate about what I am actually asking for when I open a chat window. Am I looking for a fact? A direction? A sanity check? Or am I just tired of thinking and hoping the chatbot will do it for me? The first few are probably fine. The last one, not so much.

For more on balancing AI use and critical thinking, check out our guide on using AI wisely. Additionally, explore how AI tools can boost productivity without harming cognitive skills.

Spotify Now Lets AI Agents Like OpenClaw and Claude Code Create Personal Podcasts for You

Imagine turning your daily to-do list, travel itinerary, or even a deep dive into World Cup history into a custom audio episode — all with a simple prompt to an AI agent. That is exactly what Spotify has introduced with its new beta feature, Save to Spotify. This tool transforms your favorite AI assistants into personal podcast producers, making Spotify personal podcasts a reality for users on desktop.

Building on its existing integrations with Claude and ChatGPT, where you can already control music playback through conversation, Spotify is now pushing the boundaries of personalized audio. The company announced today that users of AI agents like OpenClaw, Claude Code, or OpenAI Codex can prompt these tools to generate a Personal Podcast from any text-based content.

How Does Save to Spotify Work?

Getting started with the Save to Spotify tool is straightforward. First, head to the Save to Spotify CLI GitHub page and follow the installation instructions. You will need to sign in to your Spotify account through your browser, and once that step is complete, the tool is ready to use.

After setup, simply describe the personal podcast you want — whether it is a daily digest, class notes, or travel plans — and ask your AI agent to save it to Spotify. A link will appear, taking you directly to Your Library, where the episode is waiting to play. This means you can catch up on your day during your morning commute instead of scrambling through notes.

Prompt Ideas for Your Personal Podcasts

Not sure what to ask your AI agent? Spotify has provided several sample prompts to get you started. For instance, you can request: “Pull from my calendar for the day and flag anything back-to-back or that needs prep. Check my inbox for anything urgent or time-sensitive. Grab 2-3 stories from my feeds that are actually worth knowing about today. And recommend a podcast to listen to on my commute. Keep it under 5 minutes.”

Alternatively, try a travel-focused prompt: “Make me an audio itinerary about my upcoming trip. Summarize my flight details, tell me the best route to go to the airport and recommend the best restaurants and dishes from their menus, shopping and museums in the neighborhoods I’m visiting.”

For a deep dive, you might say: “Build me an audio session that dives deep into the history of the World Cup with details about key players, where it’s been held and what I should know about the games this year.”

These prompts showcase how AI-generated audio content can be tailored to your specific needs, from productivity to entertainment. As a result, the Save to Spotify tool opens up new possibilities for personalized listening experiences.

New Languages for Spotify AI DJ

In addition to the personal podcast feature, Spotify has also updated its AI DJ. You can now make song requests in four new languages, expanding beyond English and Spanish. This update allows users to interact with the AI DJ in their preferred language, making the experience more inclusive.

Therefore, whether you are using AI agents to create personal podcasts or requesting tunes from the AI DJ, Spotify is clearly investing in AI-powered audio personalization. For more on how AI is reshaping music streaming, check out our guide on AI music streaming trends. And if you are curious about other audio innovations, read about podcast creation tools.

Ultimately, this move by Spotify signals a shift toward on-demand, personalized audio content that adapts to your life. With Save to Spotify, the line between AI assistant and podcast producer is blurring — and that is a tune worth listening to.

iOS 27 could treat AI models like default apps, and that may finally get me to use Apple Intelligence

For years, smartphone users have been stuck with whatever AI their device maker decided was best. Samsung pushes Gemini. Microsoft forces Copilot. Apple, until now, kept its own Apple Intelligence tightly controlled. But a new report suggests that iOS 27 AI model choice could change everything, letting you pick your preferred AI for each task, just like you choose a default browser or email app. This shift might finally make Apple Intelligence worth using.

Most people who rely on AI daily have already found their favorites. I use Claude for editing and brainstorming, while Gemini handles image generation and research. You might prefer Perplexity for search or ChatGPT for coding. The problem is, your phone’s operating system has never cared about your preference. It simply imposes its own AI, whether you like it or not.

According to Bloomberg’s Mark Gurman, Apple is working on a feature internally called “Extensions.” It will allow users to assign a third-party AI model to specific Apple Intelligence tools, such as Writing Tools, Image Playground, or even Siri. When iOS 27 arrives, you could head into Settings, select your preferred AI for each function, and the system takes it from there.

This isn’t just a minor update—it’s a fundamental shift in how AI integrates with our devices. Instead of forcing everyone into one ecosystem, Apple is building a track where multiple AI models can run. That’s real user empowerment.

How iOS 27 AI model choice works in practice

The concept is surprisingly simple. Imagine opening the Notes app to write a quick email. With iOS 27 AI model choice, you could tap the Writing Tools button and have Claude automatically polish your text—without switching apps or copying prompts. Similarly, when you ask Siri a question, it could route your request to Gemini or ChatGPT, depending on your settings.

This frictionless, system-level integration is exactly what Android and Windows lack. On a Samsung Galaxy phone, using Claude in Messages requires a tedious detour: exit the app, open Claude, paste text, type a prompt, copy the output, return to Messages, and paste. It’s exhausting just to read that. Windows users face a similar walled garden with Copilot baked into Notepad and Paint, offering no alternative.

Motorola deserves some credit for experimenting with multiple AI models via Moto AI, but the company still ties each model to a specific use case. For instance, Llama powers “Catch Me Up,” while Copilot handles quick questions. You don’t get to choose—the platform decides for you.

Apple’s approach treats your AI preference as a user setting, not a corporate decision. That’s the real democratization of artificial intelligence.

What this means for Siri and Writing Tools

Siri has long been criticized for lagging behind competitors like Google Assistant and Alexa. With the ability to select a third-party AI model for backend processing, Siri could suddenly become far more capable. You could ask for restaurant recommendations and have Gemini search the web, or request a poem and let Claude handle the creativity.

Writing Tools, which helps with grammar, tone, and summarization, would also benefit. Instead of relying solely on Apple’s in-house models, you could choose the AI that best understands your writing style. For me, that’s Claude. For a developer, it might be ChatGPT. The choice is yours.

This flexibility could finally make Apple Intelligence a daily tool for millions of users who have so far ignored it.

Why this beats Android and Windows AI integration

The contrast between Apple’s rumored approach and what Android and Windows offer is stark. On Android, Galaxy AI is powered entirely by Gemini. On Windows, Copilot is mandatory. Neither platform lets you swap out the AI model for a specific task. You’re locked into whatever the manufacturer or Microsoft has chosen.

This isn’t just inconvenient—it’s a missed opportunity. Studies show that users perform better when they can customize their tools. For example, a writer might prefer Claude’s nuanced tone, while a data analyst might rely on ChatGPT’s code generation. Forcing everyone into one model reduces productivity and frustrates users.

Apple’s solution treats AI models like default apps. You set it once, and every time you invoke Apple Intelligence, your preferred model appears. No detours, no copy-pasting, no frustration.

As a result, Apple isn’t just catching up in the AI race—it’s building a better track for everyone to run on.

The business case for Apple’s AI agnosticism

From a business perspective, this move is brilliant. Apple has been criticized for lagging in AI development. But by opening its platform to third-party models, the company turns a weakness into a strength. With over 2.5 billion active devices, Apple could become the ultimate AI marketplace.

Here’s the kicker: Apple takes a 30% cut on App Store subscriptions. If every Claude Pro or Gemini Advanced subscription processed through iOS includes that fee, Apple doesn’t need to win the AI race. It just needs to own the racetrack. This could generate billions in recurring revenue without Apple developing its own frontier models.

Of course, nothing is officially confirmed yet. But with WWDC 2026 approaching, Apple could announce this transition from an AI-first company to an AI-agnostic platform. That would be a game-changing strategy.

What this means for your daily workflow

Imagine this scenario: You’re drafting a business proposal in Pages. You highlight a paragraph and tap “Rewrite” in Writing Tools. Instead of Apple’s generic suggestion, you get a polished version from Claude, tailored to your professional tone. Later, you ask Siri to summarize a long article, and it uses Gemini for deep research. Finally, you generate an image for a presentation using Image Playground, powered by DALL-E.

All of this happens without leaving your workflow. No app switching, no prompt copying, no frustration. That’s the promise of iOS 27 AI model choice.

For power users, this flexibility is invaluable. For casual users, it means finally getting AI that actually helps, instead of getting in the way.

Apple’s approach could set a new standard for how operating systems handle AI. Instead of a one-size-fits-all solution, users get a personalized AI ecosystem that adapts to their needs.

Final thoughts: The future of AI on your phone

Apple’s rumored Extensions feature represents a fundamental shift in AI integration. By treating AI models like default apps, the company empowers users to choose what works best for them. This isn’t just about convenience—it’s about respecting user preferences and fostering genuine innovation.

While Android and Windows continue to build walled gardens, Apple is laying the foundation for an open AI marketplace. Whether you use Claude, Gemini, ChatGPT, or something else, iOS 27 could finally let your phone work the way you want.

For more insights on AI in mobile operating systems, check out our guide to best AI apps for iPhone. Or learn how to customize Siri with third-party AI. And don’t miss our comparison of Claude vs ChatGPT for writing tasks.

Ultimately, iOS 27 AI model choice could be the feature that finally makes Apple Intelligence indispensable. And for someone like me, who has been waiting for this level of control, it can’t come soon enough.