The Future of AI Is Personal and It Starts With Trust

A new era of personal AI is coming — one where trust, control and capability go hand in hand.
May 20, 2025 6:00 AM ET
A close-up of a finger poised to tap a fingerprint scanner icon on a smartphone screen, indicating biometric authentication.

Artificial intelligence (AI) is evolving fast. It can now pass the bar exam, write code and diagnose diseases. Yet it still struggles with something far simpler: proving it's acting in your best interest.

We’re entering a new era of AI — one where systems move from conversation to action. Imagine personal AI agents that not only answer your questions, but also book your travel, manage your finances and coordinate your schedule. They’ll save you time, streamline decisions and help you get more out of everyday life.

But for this future to thrive, one ingredient is essential: trust.

These systems must be able to show they’re acting on your behalf, with your consent and in your best interest. Can a business verify it's your AI making a purchase? Can another agent confirm it's acting on your instructions? With the right safeguards in place, the answer is yes.

Trust isn’t about limitations — it’s about powering AI to do more, safely. By building systems with clear boundaries, secure permissions and user control, we unlock the full potential of personal AI.

And that’s the future we’re building: one where AI works with you, for you — on your terms.

Earning your trust: The three pillars of personal AI 

Three requirements stand between today's conversational AI and tomorrow's truly personal agents:

1. AI must be able to prove it works for you, not someone impersonating you. 

AI will increasingly interact with businesses, services and even other AI agents. But without a way to verify that it's acting on behalf of the correct person, these communications open the door to fraud, abuse and security risks.

When your AI agent attempts to make a purchase on your behalf, merchants need verifiable proof that:

  • You are who you claim to be (identity)
  • You have explicitly authorized this specific AI to act for you (delegation)
  • You've granted permission for this particular type of transaction (scope)
  • The authorization hasn't been revoked or tampered with (validity)

This challenge isn’t just theoretical. AI-generated voices have been used in scam calls to impersonate loved ones. Deepfakes have fooled financial institutions into approving fraudulent transactions.

But again, it’s not about eliminating risk entirely — it’s about mitigating risks to the lowest levels possible. With secure delegation frameworks, we can allow AI agents to act meaningfully while keeping user identity and intent verifiable.

2. AI must store and retrieve personal data securely. 

For AI to be truly useful, it needs information — access to your calendar, payment details, travel history and other personal data. But this creates a critical question: Where is this data stored and who controls it?

Too much data exposure increases risks; too little makes the AI ineffective. The goal is controlled access: letting your AI pull only what it needs, when it needs it and nothing more.

This points to a new solution: a personal data vault, owned and managed by you. This secure repository would hold your digital life — from financial details to medical info — with access granted only through your explicit permissions.

Such vaults should also support two-way access. If your AI books a flight, it needs to store the confirmation. If it updates your insurance policy, it should log the change. Over time, this builds a more capable AI that still operates within clear limits you define.

3. AI must act within limits set by you. 

Lastly, AI should never be an all-or-nothing tool. It must operate within defined boundaries, giving users control over what it can do, when and for how long.

Imagine asking your AI to manage your home services while you’re traveling. You might want it to reschedule a package delivery, approve a cleaning service visit, or adjust your smart home settings — but that doesn’t mean it should have unlimited access to everything in your home ecosystem. If your AI can unlock the front door for the dog walker, should it also be able to disable your security system? If it can manage a grocery delivery, should it also be allowed to modify your recurring bill payments?

AI should function under clear, user-defined scopes, such as:

  • Task-specific permissions – Allowing AI to approve service appointments but not modify security settings
  • Time-bound access – Granting access to unlock the door for the dog walker only between 2-3 PM on Wednesdays
  • Granular data controls – Letting AI use your stored credit card for one grocery delivery, not for other purchases

The best AI isn’t the one that can do everything — it’s the one that knows its limits and operates within yours.

What’s driving this shift? 

Trust in artificial intelligence isn't just a nice-to-have. Across the globe, governments are taking action to regulate AI's expanding role in our lives and economies.

Take the European Union's AI Act or the Digital Identity Wallet regulations. These aren't isolated initiatives — they reflect a growing global emphasis on transparency and user control. As AI systems become more autonomous in our daily lives, companies face a stark reality: either develop verifiable AI systems that respect clear permission boundaries, or face mounting regulatory headaches.

For businesses, this is competitive and compliance imperative. Deepfake scams have already cost businesses millions. Companies that can't verify whether an AI interaction is legitimate face potential consequences, both financial and reputational.

Meanwhile, consumers are growing increasingly savvy about their digital footprints, with 81% expressing concerns about how businesses use their data. The days of passive acceptance of data collection are waning. People are pushing back, demanding services that work for them without compromising their privacy. They're asking pointed questions: "Who can access my information?" and "Are my AI interactions private or already written off as training material for the next model?" Without satisfactory answers, public trust continues to erode.

A future where AI is personal, private and trusted 

Today’s AI race is all about capabilities. But tomorrow’s breakthroughs will be defined by something even more meaningful: trust. The most impactful systems won’t just be intelligent — they’ll be built to serve you.

Imagine an AI that’s truly personal. One that acts as your trusted delegate — not a detached assistant, but a digital partner operating with your explicit guidance, your values and your boundaries. It doesn’t just know you — it respects you.

As these agents become part of our everyday lives, they’ll open doors to a new kind of freedom: the freedom to offload complexity, reclaim time and navigate the digital world with confidence. When people are in control, AI becomes more than just a tool — it becomes an extension of your intent, working with precision, privacy and purpose.

Because the future of AI isn’t just about what it can do. It’s about what it can do for you on your terms.