Google’s next big AI bet: privacy without limits

Today, we’re looking at Google’s quiet challenge to Apple’s AI privacy lead: offloading heavy AI tasks to the cloud without compromising your data, a move that redefines what on-device really means. We’re also looking at how Maximus is bringing private-sector AI to public services, embedding intelligence into every government interaction to make bureaucracy faster, smarter, and maybe even human.

In today’s post:

• Google just made cloud AI look like local AI

• AI is reshaping how government talks to citizens

• Robyn: Your emotional mirror

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What’s Trending Today

STRATEGY

Google’s quiet move to out-Apple Apple in AI privacy

Google is rolling out “Private AI Compute”, a secure way to offload AI tasks to the cloud without compromising user privacy. Sound familiar? It should. It’s basically Apple’s Private Cloud Compute, but Google-style.

Here’s everything you need to know:

• Most of Google’s AI features have worked on-device until now.

• Advanced AI needs more power than your phone or Chromebook can handle.

• Private AI Compute sends tough tasks to the cloud, but keeps your data locked down.

• Google claims no one, not even them, can access what’s processed.

• Early examples include better Magic Cue suggestions on Pixel 10 and smarter transcription in more languages.

• This is Google trying to have it both ways: cutting-edge AI and real privacy.

• It’s also a signal that device-only AI isn’t enough for what’s coming next.

Google’s Private AI Compute isn’t just catch-up, it’s a quiet redefinition of what “on-device” means. If this model works, expect other tech giants to follow. The real test? Whether users believe “cloud privacy” can ever be more than marketing.

POLICY

Maximus just made AI central to government services

Maximus and Genesys are expanding their partnership to overhaul public sector services. The goal? Smarter, faster, more human interactions powered by AI and tailored for government complexity.

Here’s everything you need to know:

• The new Maximus TXM solution integrates with Genesys Cloud to unify digital, voice, and self-service channels.

• It’s AI-powered but mission-driven designed for the real constraints of public service delivery.

• Agencies gain real-time data insights, intelligent routing, and better visibility into service journeys.

• Tools equip contact center agents to solve issues faster and personalize support.

• The system supports mandates with measurable outcomes on access, timeliness, and efficiency.

• It’s not just modernization, it’s a shift toward treating citizens like customers, with accountability baked in.

• The partnership signals a broader trend: governments adopting private-sector-grade tech, but with public trust in mind.

For years, “digital government” has meant clunky portals and long wait times. Maximus and Genesys are trying to change that. If they succeed, AI won’t just make things more efficient, it might restore faith in public service.

BREAKTHROUGH

This ex-Harvard doctor built an AI that remembers how you feel

Jenny Shao left her Harvard medical residency to build Robyn, a new kind of AI. It’s not a chatbot. It’s not a therapist. It’s something in between an emotionally intelligent companion that learns who you are and helps you reflect.

Here’s everything you need to know:

• Robyn is designed to support, not replace, it’s not trying to be your doctor or your friend.

• Its emotional intelligence is inspired by Shao’s medical training and memory research with Nobel laureate Eric Kandel.

• The AI remembers past chats and adapts its advice based on your unique personality traits.

• Users get weekly insights on their behavior, emotional patterns, and inner critic.

• Guardrails are in place: it deflects unsafe questions and directs users to crisis resources when needed.

• Backed by $5.5M from top investors, Robyn is now live in the U.S. at $19.99/month.

• Its challenge? Staying helpful without making people form unhealthy attachments to the AI.

Robyn is trying something bold giving people a non-human way to better understand their humanity. But the line between “companion” and “crutch” is thin. Whether this works depends not just on tech, but on trust, boundaries, and emotional maturity.

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