After Siri Stumbles, Apple Pushes AI Agents Into the App Store: A New Headache?

Apple is gearing up for WWDC 2026 with a potentially revolutionary plan: embedding Apple AI agents directly into the App Store. But the company is wrestling with two massive problems that could derail the whole vision. Developers are hesitant to embrace the new Siri, and the security risks of AI agents running wild inside the App Store are keeping engineers up at night.

The Siri Integration Dilemma: Why Developers Are Holding Back

Apple’s upcoming iOS 27 will feature a dramatically overhauled Siri, powered by a new API called App Intents. This technology allows Siri to execute actions inside third-party apps without the user ever opening them. Sounds great, right? Not so fast.

According to The Information, Apple is actively courting developers like Baidu, Alibaba, and Tencent to integrate with this new Siri. However, many of the world’s largest developers are dragging their feet. The reason isn’t technical difficulty—it’s money. Apple has reportedly told developers not to charge a commission for Siri actions, but only in the early stages. The company has not ruled out introducing a fee later, once the APIs are stable and Siri is working smoothly.

This ambiguity is a major sticking point. Developers fear that if Siri becomes the primary gateway for users to interact with their apps, Apple will gain a new chokehold over customer relationships. In essence, Apple wants the ecosystem benefits of deep Siri integration without committing to the commercial terms that would actually encourage adoption. As a result, the integration is stalling, and Apple is losing precious time against competitors like Google’s Android ecosystem.

The Fee Ambiguity: Apple’s Own Making

The uncertainty around fees is particularly damaging because Apple built the App Store on clear commission terms. Developers may not have liked the 30% cut, but they understood it. Leaving the commercial terms of Apple AI agents undefined is an invitation to delay. This is something Apple cannot afford, especially after Google’s impressive AI showcase at its own developer conference earlier this year.

The App Store AI Agent Nightmare: Security Risks Emerge

Separately, Apple is working on a far more complex initiative: integrating AI agents into the App Store itself. These agents can spin up smaller, task-specific apps on the fly. This creates a real problem for Apple’s famously curated marketplace.

The core issue is oversight. The App Store review process might approve a parent agentic app, but it would have no visibility into what the agent creates inside it. The Information cites a chilling example: OpenClaw, an agentic system where agents went haywire and deleted all of a user’s emails. This kind of freewheeling behavior is a nightmare for a company that prides itself on privacy and security.

Engineers at Apple are reportedly working on a security system that prevents AI agents from misbehaving while still keeping them within the company’s strict privacy framework. However, while Apple might announce the integration of Apple AI agents at the WWDC 2026 keynote, the system may not be entirely ready for prime time.

Balancing Innovation with Control

Apple has spent years building the world’s most controlled app marketplace. Now, it is planning to integrate technology that generates unapproved apps on the fly. This is a fundamental tension. How do you maintain the security and trust of the App Store while allowing AI agents the freedom to be truly useful? It is a question that Apple must answer for both developers and users.

WWDC 2026: The Moment of Truth for Apple’s AI Strategy

During the last earnings call, Tim Cook acknowledged the AI agent trend, noting that people are buying Mac minis and Mac Studios specifically to run local AI agents. This confirms that Apple knows the wave is here. However, the company has not yet figured out how to create a profitable product or service out of it without breaking everything else.

At WWDC 2026, Apple needs to address two critical questions. First, it must clarify the commercial terms for Siri integration to get developers on board. Second, it must present a concrete security framework for Apple AI agents in the App Store. If it fails on either front, the company risks falling behind in the AI race while alienating its most valuable partners.

For more on how Apple is reshaping its ecosystem, check out our analysis of Apple WWDC 2026 preview and the ongoing Siri vs. Google Assistant AI battle.

Tarot Card Readers Are Turning to ChatGPT for Divination: Inside the AI Shift

Artificial intelligence has quietly slipped into some of the most emotionally charged corners of life. From composing eulogies to creating chatbots that mimic the deceased, AI now touches grief, memory, and meaning. The latest frontier? Tarot card readings. A 2026 study reveals that tarot practitioners are increasingly using ChatGPT for divination, seeking its help to interpret personal, symbolic, and often unresolved questions. This shift moves far beyond productivity hacks, landing squarely in the realm of spiritual guidance.

Why Tarot Readers Turn to AI for Interpretation

The study identified two primary patterns among practitioners who adopt AI. Some use ChatGPT as a shortcut when a spread feels tangled, especially when cards point in conflicting directions. Tarot thrives on ambiguity, but interpretation can be slow and mentally draining. A chatbot steps in, taking clashing symbols and returning a response that sounds clean, complete, and ready to believe.

However, the seduction of certainty comes with a cost. A reading works because it leaves room for doubt, self-reflection, and competing meanings. ChatGPT does not know the full emotional history behind the question, even when its answer sounds confident. As a result, the handoff between human intuition and machine logic can feel uneasy.

The Risk of Over-Reliance on AI in Spiritual Practices

The problem starts when clean becomes too clean. Tarot asks people to sit with uncertainty, but ChatGPT is built to turn messy inputs into a confident answer. This tension is not unique to tarot. The same instinct runs through grief tech, faith-adjacent AI, and private decision-making. People are not only asking chatbots to organize life anymore; they are asking them to help make sense of it.

Tarot makes this shift easier to see because the work is openly symbolic. A reader pulls cards, weighs context, and looks for meaning in the tension between possible interpretations. When AI steps in too heavily, it risks short-circuiting that process. For more on how AI is reshaping personal rituals, check out our analysis of AI in grief technology.

Using ChatGPT as a Tool, Not an Authority

Interestingly, the study also found a more careful use case. Some readers asked AI to challenge their assumptions, compare readings, and surface blind spots. In those moments, the useful part was not certainty—it was resistance. By offering alternative interpretations, ChatGPT can help practitioners see angles they might have missed.

This approach keeps the reader in the loop. The bot offers a possible interpretation, but the person still weighs it against the cards, the spread, the question, and their lived context. A safer approach, therefore, treats AI as a collaborator, not a final authority. For guidance on integrating AI responsibly into personal practice, see our guide on ethical AI in spirituality.

Who Gets the Final Say in a Divination?

The line to watch is control. ChatGPT can add another angle, but it should not become the authority that ends the reading. The distinction reaches beyond tarot. As AI slips deeper into grief, faith, advice, and memory, the practical rule is simple enough: let it widen the question before you let it close one.

Ultimately, the study underscores a broader trend. Technology is not just organizing our lives; it is helping us interpret them. For those seeking balance, the key is to embrace AI as a tool for exploration, not a shortcut to answers. To explore how other spiritual communities are adapting, check out our report on AI in modern religion.

In the end, the best use of ChatGPT for divination may be as a mirror—reflecting back possibilities rather than dictating outcomes. The human heart, after all, still holds the final card.

Google is reportedly prepping a powerful new Gemini AI model to outsmart ChatGPT

Google may be preparing to unveil a new Gemini AI model at its I/O developer conference on May 19. According to recent reports, the timing is aggressive, with the release expected to rival OpenAI’s upcoming GPT-5.5 class. However, the model is still said to trail behind Anthropic’s Mythos, which is currently shaping the frontier-model conversation in the industry.

But raw performance isn’t the only challenge. A strong model can grab headlines, but developers don’t rebuild their workflows just to chase leaderboard scores. They switch tools when those tools save time, reduce cleanup, and survive real projects without becoming another tab to manage.

Can Gemini win developers back?

Coding is the pressure point. Google is walking straight into the area where developers can tell within minutes whether a model is genuinely useful or merely polished for a keynote. That skepticism belongs in coding because AI has already crossed from novelty into daily work infrastructure.

For the Gemini AI model to succeed, it has to feel faster, steadier, and more useful inside real projects. Developers won’t switch because Google says the model got smarter. They’ll switch when the cleanup bill gets smaller. As a result, the company’s I/O event—running from May 19 to 20—will be a crucial stage. Google’s developer preview says the event will cover agentic coding and Gemini model updates, putting the company’s AI ambitions directly in front of the people most likely to judge them hard.

Can agents survive real work?

Google has already built a runway for agents. At Cloud Next, it introduced the Gemini Enterprise Agent Platform for building, scaling, governing, and optimizing agents, with orchestration, identity, observability, and security features folded into the stack. That sounds serious, and it gives Google more credibility than a loose collection of AI demos.

Still, agent demos are cheap now. The real test is messy work: multi-step tasks, bad inputs, unclear goals, and moments where the model has to recover without constant hand-holding. Therefore, the Gemini AI model must prove itself in these chaotic environments to earn developer trust.

Will ChatGPT feel less automatic?

Google’s real fight is default behavior. Developers, power users, and regular subscribers already have AI routines, and Gemini has to interrupt those habits with obvious utility. ChatGPT and Claude already sit in the mental shortcut layer for many AI users, while Google is still trying to make Gemini feel unavoidable.

The rumored model can help only if it makes Gemini the first place people go for coding, research, and agentic work. Google has one clean job at I/O: show a Gemini that saves time, writes useful code, and runs agentic tasks with less babysitting. Anything less is another respectable model in a market that already has too many of them.

In addition, Google must address the growing competition from OpenAI’s ChatGPT, which continues to dominate the consumer and developer space. The new Gemini AI model could be a turning point if it delivers on speed, reliability, and practical utility.

Building on this, the developer community is watching closely. They want a model that doesn’t just perform well in benchmarks but also integrates seamlessly into existing workflows. Google’s challenge is to make Gemini the default choice, not just another option.