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- Ep 695: AI as an Operating System: LLMs Are the Internet Now
Ep 695: AI as an Operating System: LLMs Are the Internet Now
Anthropic Teams Up with Teach For All on Global AI Education, ServiceNow Finalizes Multi-Year OpenAI Partnership, Microsoft CEO says shift needed from tokens to GDP growth
Everyday AI
January 20, 2026
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š Daily Podcast Episode: Most people still treat AI like software. But itās quickly becoming the foundation of how teams think, build, and operate. Give it a watch/read/listen.
šµļøāāļø Fresh Finds: Android Launches Typeless UI System, MemOS 2.0 Brings Open-Source Long-Term Memory, Google Stitch Quietly Tests API Key Access and more Read on for Fresh Finds.
š Byte Sized Daily AI News: Anthropic Teams Up with Teach For All on Global AI Education, ServiceNow Finalizes Multi-Year OpenAI Partnership, Microsoft and BMS Expand AI Lung Cancer Detection Across Hospitals and more Read on for Byte Sized News.
šŖ Leverage AI: Most organizations are adding AI to old workflows. The winners are rebuilding workflows around AI as the foundation. Keep reading for that!
ā©ļø Donāt miss out: Did you miss our last newsletter? We Covered: OpenAI drops receipts on Musk, Notion may be updating its agentic offerings, ChatGPT Go goes global and ads announced Check it here!
Ep 695: AI as an Operating System: LLMs Are the Internet Now
One of the biggest mistakes in AI?
Thinking that your company's AI use is noteworthy. Or, even a competitive advantage.
It's not.
We break it down in Volume 3 of our 'Start Here Series.'
Also on the pod today:
ā¢ AI as your next OS? š„ļø
ā¢ Large language models everywhere now š¤
ā¢ AI agents replacing browsers š
Itāll be worth your 41 minutes:
Listen on our site:
Click to listen
Subscribe and listen on your favorite podcast platform
Listen on:
Hereās our favorite AI finds from across the web:
New AI Tool Spotlight ā Interact Pitch is Interactive pitch decks
with real time viewer insights, Dopamine Effortlessly builds your AI team for everything you do, Figy AI Turns your content into modern AI study cards.
Google Stitch Updates ā Stitch is testing API keys to tap Gemini for higher-res images, including possible 4K. Generate PRD will auto-create product docs from your designs.
OpenAIās Global Moves ā OpenAI is expected to announce some global moves tomorrow.
Android āTypelessā Released ā Voice-first keyboard brings accurate, natural dictation across all Android apps.
Anthropicās AI Moves ā Anthropicās Long-Term Benefit Trust added Tino CuĆ©llar, bringing deep legal, governance, and international experience to steer AIās societal impact.
AI Art in Video Games ā Studios are using AI for game art, and players are furious. Curious which parts of dev AI actually helps?
MemOS 2.0 Open Source Memory ā MemOS lets agents actually remember people, files, and actions. Explore the project on GitHub.
1. Anthropic and Teach For All partner to train 100,000+ teachers on AI š§ā
Anthropic announced a global partnership with Teach For All to give over 100,000 teachers and alumni across 63 countries access to Claude, training, and a creator program that turns educators into co-designers of classroom AI tools.
The initiative rolls out an AI Fluency series, a daily peer hub called Claude Connect, and an advanced Claude Lab where teachers test and shape product features while informing Anthropicās roadmap. Early projects include localized curricula and classroom apps built by teachers in Liberia, Bangladesh, and Argentina, showing how frontline educators can adapt AI to real student needs.
2. ServiceNow names OpenAI a preferred enterprise AI partner š¤
ServiceNow today announced a multi-year pact making OpenAI models, including GPT-5.2, a preferred intelligence capability for enterprises running more than 80 billion workflows a year, signaling a major push to embed frontier AI directly into mission-critical business processes.
The deal brings OpenAIās multimodal models and future speech-to-speech and native voice tech into ServiceNowās AI Platform so models can both understand and act on enterprise data inside customersā secure infrastructures. That means AI will move from pilot projects to real, end-to-end automation inside IT, finance, HR and other functions, with summarization, actionable recommendations, and developer tools tied to governance and permissions.
3. BMS and Microsoft partner to bring AI lung-cancer detection to more hospitals š«
Bristol Myers Squibb announced today a collaboration with Microsoft to deploy FDA-cleared radiology AI through Microsoftās Precision Imaging Network, aiming to accelerate earlier detection of lung cancer and improve follow-up care.
The initiative pairs BMSās oncology expertise with Microsoftās widely used imaging workflows to surface hard-to-see lung nodules, route patients into care pathways, and target underserved rural and community clinics that often miss follow-up. By integrating AI triage and workflow tracking into existing hospital systems, the effort seeks to reduce missed incidental findings and push diagnoses to earlier, more treatable stages.
4. KPMG inks deal with Uniphore to deploy industry-tailored AI agents š¦¾
KPMG announced at Davos that it has partnered with Uniphore to build and operationalize industry-specific small language models and agentic AI on Uniphoreās Business AI Cloud, targeting regulated sectors like banking, insurance, energy and healthcare.
The move is part of KPMGās push to equip its global workforce with AI-enabled delivery models and to embed governed, production-grade AI into core workflows rather than running isolated pilots. The collaboration centers on an SLM factory approach to encode institutional knowledge, regulatory frameworks and process playbooks into reusable AI systems for functions such as procurement, finance and claims, with early solutions focused on contract review and exception routing.
5. Microsoft CEO: Turn AI tokens into growth šŖ
At the World Economic Forum, Microsoft CEO Satya Nadella warned that the new economic commodity of AI "tokens" must be converted into GDP growth globally, arguing countries with cheaper and more accessible tokens will see higher productivity and scale.
He called for improved token supply ā from chips to data centers ā comparing the need for a ubiquitous token grid to the spread of electricity, and urged firms large and small to accelerate adoption while managing organizational change. Nadella emphasized the technologyās potential to expand opportunity in the Global South if demand and investment environments exist.
When's the last time you made a choice to use the internet?
You didn't. You opened Outlook. Internet's there. Logged into Salesforce. There. Your CRM, your project management, your everything. All running on it.
You don't even think about it.
That's exactly where AI is headed. And most teams ain't ready.
Right now, people still go out of their way to open ChatGPT. They make a conscious decision to use AI. But that's changing fast. Copilot's already baked into Excel. Gemini pops up in Google Docs. Agentforce lives inside Salesforce.
AI is becoming the system that your knowledge runs on. Not a tool you visit.
We've already covered what generative AI actually is and the jargon you gotta know to compete.
Now we're talking about the mindset shift that turns AI from "something I use sometimes" into the foundation of how your entire team operates.
Here's what that actually looks like.
1. AI Becomes The New Internet Layer š„
Think about 1998. People were still "going online." Sit down, dial up, browse around, log off. The internet was a destination.
Wild to think about now, right?
Today it's invisible infrastructure. You don't go online. You just ARE online. Likeā¦. Always. Everything runs on the internet without you thinking about it.
AI is making that same transition right now.
Microsoft's CEO told employees that Microsoft would become obsolete if they didnāt become AI-first. (Reportedly) His words, not ours. As inā¦ old school operating systems are becoming a thing of the past, and the AI knowledge layer is what powers the future of work.
Keyboards and taskbars becoming secondary. Every Office app functioning as a development environment for agents.
That ain't a prediction about 2036. That's the direction the largest software company on Earth is actively building toward today.
The organizations ahead of this curve aren't asking "should we use AI?" They're asking "what does our workflow look like when AI is just THERE by default?"
Same way you'd never ask "should we use the internet?" for a new process today.
The mental model shift is everything.
Try This
Count how many times this week you consciously decided to open an AI tool versus how many times AI was just there in your existing apps.
That ratio tells you where you are in this transition.
If AI still feels like a separate destination, you're operating with a 2024 mindset. And that aint good shorty.
2. One Person With AI Equals A Larger Team ā”
Here's what this shift actually means for how work gets done.
Real talk.
The smartest organizations ain't adding AI to existing processes. They're rebuilding processes from scratch around AI as the foundation.
A ten-step workflow becomes three steps. Human orchestrates at the front. Agents execute in the middle. Human taste-makes at the end.
That's not theoretical. That's how teams are actually operating right now.
MCP, the Model Context Protocol, is what makes this work at scale. Anthropic created it, then donated it to the Linux Foundation. OpenAI, Google, Microsoft all support it now.
Before MCP, you needed humans connecting different systems. Playing telephone. Copying and pasting. Now agents handle that horizontal coordination while you focus on decisions that actually matter.
90% of organizations are reportedly running MCP servers already without knowing it. The infrastructure exists. Most teams just haven't built workflows around it yet.
Try This
Map your team's most manual workflow. The one where someone copies data from one system, reformats it, pastes it somewhere else.
That copy-paste work? Agents handle that now.
Free that person up for orchestration and taste-making. The stuff that actually requires human judgment.
3. Platform Choice Now Equals OS Choice š
In the 90s (give or take), most companies made an operational call. We're a Windows org. Or we're a Mac org. Or maybe Linux. Then they built everything around that decision.
You've got four real options, TBH. Microsoft 365 Copilot. Google Gemini. Anthropic Claude. ChatGPT. Each has enterprise tiers. Each integrates differently.
ChatGPT just launched apps for Photoshop, Canva, Asana, Dropbox, GitHub, Google Drive, Gmail, HubSpot, Monday.com, Notion, SharePoint, Slack, Stripe, Zoom.
That's probably half your tech stack. All flowing through one interface.
Anthropic released Claude Cowork last week. Non-technical version of their coding tool. Navigates files on your machine, browses the web, executes multi-step tasks. No babysitting required.
The platform you choose becomes the layer everything runs on. Just like choosing Windows versus Mac shaped how you worked for the next decade.
Make the call. Then build around it.
Try This
Pick one platform. Run a 30-day pilot with one team.
Don't evaluate features. Evaluate how much of your current workflow can collapse into that single interface.
Track context-switching between apps before and after.
That's the only metric that matters for this decision.
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