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Ep 777: No, Anthropic isn’t leading In Enterprise AI Adoption. Separating AI Facts from Fiction and how Companies Should Choose Providers

Google is teasing a new Gemini Spark agent platform, Apple is scrambling to figure out how AI agents fit into the App Store, and OpenAI wants a global AI watchdog that could even include China, and more

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Everyday AI
May 14, 2026

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Outsmart The Future

Today in Everyday AI
8 minute read

🎙 Daily Podcast Episode: Everyone keeps arguing about whether Anthropic or OpenAI is winning enterprise AI, but the real story is how bad data, misleading studies, and AI marketing spin are shaping billion-dollar business decisions. Give today’s show a watch/read/listen.

🕵️‍♂️ Fresh Finds: Microsoft just expanded Copilot across mobile Edge, Meta launched private “Incognito Chat” for AI conversations, and TikTok is letting AI agents fully automate ad campaigns, and more. Read on for Fresh Finds.

🗞 Byte Sized Daily AI News: Google is teasing a new Gemini Spark agent platform, Apple is scrambling to figure out how AI agents fit into the App Store, and OpenAI wants a global AI watchdog that could even include China, and more. Read on for Byte Sized News.

💪 Leverage AI: The biggest AI enterprise story this week might not be Anthropic vs. OpenAI. It might be how easily bad data becomes accepted as fact. Keep reading for that!

↩️ Don’t miss out: Miss our last newsletter? We covered: Google just launched its Gemini Deep Research Agent, Microsoft unveiled a 100-agent AI cybersecurity system called MDASH, and Meta rolls out private AI chat, and more. Check it here!

Ep 777: No, Anthropic isn’t leading In Enterprise AI Adoption. Separating AI Facts from Fiction and how Companies Should Choose Providers


If you're making AI decisions, you have to understand where you're getting your intel from. 🤦

A recent report from Ramp went viral and set off a narrative that Anthropic had officially overtaken OpenAI in enterprise adoption.

Is it true?

Should you pay attention?

Also on the pod today:

• Ramp study’s math blunder 🤦‍♂️
• One Claude user = whole company? 😲 
• Microsoft missing from adoption chart 🧐 

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Here’s our favorite AI finds from across the web:

New AI Tool Spotlight –  Spellar Records calls locally, No bot joins your call, AI summaries, action items, and chat powered by Claude, GPT, and Gemini, Naptick is the first bedside AI sleep companion that works as a personal sleep mentor, Asteroid Deploys browser AI agents to run portal workflows in-house — no RPA, no BPOs, no outsourcing.

Alexa for Shopping — Amazon just launched Alexa for Shopping, an AI-powered assistant that knows your shopping habits and helps you buy smarter.

Copilot for Mobile — Edge just rolled out Copilot features on mobile, letting you compare tabs, pick up projects, and even turn your browsing into a podcast.

Claude Code Limits — Claude Code weekly limits just got bumped up by 50 percent, live for all paid users until July 13.

Self Upgrade AI — A new AI startup led by ex-OpenAI and DeepMind leaders just raised $650M to build self-improving AI that can experiment and upgrade itself.

Workspace Studio — Google Workspace Studio now lets you automate email alerts and task flows without needing to code.

OpenAI and Accenture Federal Servies — Accenture Federal Services and OpenAI are teaming up to help US agencies roll out advanced AI faster, with secure, production-ready solutions.

Codex at Work — OpenAI is offering 2 free months of Codex for eligible enterprise teams that switch now.

Meta Incognito AI — Meta just launched Incognito Chat for WhatsApp and the Meta AI app, making your AI conversations truly private.

Tiktok AI Tools — TikTok just launched tools for AI agents to fully automate ad campaigns, taking manual work off media buyers' plates.

Perplexity Computer — Perplexity Computer runs code in ultra-secure sandboxes, connects safely to external services, and gives admins tight control over everything.

Cline Open Source Agent — Cline just dropped an open-source agent SDK that powers every Cline tool and lets anyone build their own.

holaOS 0.1 Release — holaOS just dropped its first beta, letting you run and manage multiple AI-powered workstreams with their own apps, skills, and memory.

1. Google Teases Gemini Spark Ahead of I/O Shakeup ✨

Just days before Google I/O, a new beta feature called "Gemini Spark" has quietly popped up inside the Gemini web app, signaling Google's next big leap into AI-powered personal agents.

The update promises to let Spark act as a 24/7 assistant that handles inboxes, web tasks, and other multi-step chores using data from connected apps, chat history, and even your location. While Spark puts Google in direct competition with the likes of OpenAI's and Anthropic's upcoming agent platforms, it also comes with warnings: the experimental tool may share sensitive info or complete purchases without asking first.

2. Apple Eyes Tighter AI Agent Controls for App Store📲

With WWDC just weeks away, Apple is reportedly racing to design a system that brings AI agents into the App Store while keeping its famously strict privacy and security standards intact, according to The Information.

The company is grappling with how to allow these advanced agents, which can take complex actions for users, without letting them break App Store rules or go rogue.

3. OpenAI Backs Global AI Watchdog With China in the Mix 🇨🇳

OpenAI is signaling support for a U.S.-led international AI oversight group that could include China, making waves just as President Trump arrives in Beijing for high-stakes talks.

The company’s VP of global affairs, Chris Lehane, likened the proposed body to the International Atomic Energy Agency, suggesting it could set global standards for AI safety while bridging divides between AI powerhouses.

4. Fiserv and OpenAI Join Forces to Shake Up Banking with AI 🤝

In a move making waves today, Fiserv announced a partnership with OpenAI to inject cutting-edge AI directly into the core systems of banks and financial institutions.

The collaboration aims to streamline complex tasks, speed up modernization projects, deliver banking-specific AI tools, and boost cybersecurity—making life easier for banks of all sizes.

5. Microsoft Eyes Next-Gen AI with Inception Acquisition 🤝

Microsoft is reportedly in talks to acquire Inception, the lab behind Mercury 2, a cutting-edge reasoning diffusion LLM that’s generating serious buzz for its breakthrough performance and approach.

According to Reuters, this move signals Microsoft’s ambitions to go beyond traditional generative AI models, potentially baking advanced reasoning directly into Copilot and its enterprise stack.

6. Anthropic and Gates Foundation Launch $200M AI Push for Global Good 🤑

In a major move this week, Anthropic is teaming up with the Gates Foundation to roll out $200 million in grants, AI credits, and support to boost health, education, and economic mobility worldwide over the next four years.

The partnership zeroes in on using AI to speed up vaccine discovery, improve disease modeling, power smarter educational tools, and help farmers and job seekers get ahead.

Those headlines you’re probably seeing about Anthropic overtaking OpenAI in the enterprise? 

Yeah, the data source doesn’t even know the difference between percentage increase and percentage point increase. 

Yikes. 

Ramp’s latest AI Index report claims Anthropic surpassed OpenAI in business adoption among, and the AI influencers and media immediately started acting like the enterprise AI race had a new king.

Slow down shorties. 

This is where executives get burned. A slick chart turns into a Slack thread, the Slack thread turns into a board question, and suddenly someone is rethinking a $1,000,000 AI commitment based on Ramp data that didn’t measure seats, usage, deployment, workflows, or outcomes.

They measured yes’s and no’s. 

On today’s Everyday AI, we break down why relying on the now viral Ramp AI Index is a dangerous shortcut for enterprise buyers, how Microsoft and Google blow up the easy Anthropic-vs-OpenAI narrative, and what signals actually matter. 

Let’s dive in.

1. Stop counting swipes as scale 🔥

Ramp’s adoption framing has a giant problem hiding in plain sight.

If a company has a positive transaction amount for an AI product or service in a given month, Ramp counts that company as having adopted the tool. Yes, seriously. That’s the base of the methodology. 

That’s binary. Yes or no.

Which means a two-person company swiping their Ramp card to buy Claude could potentially count the same as a companywide ChatGPT deployment with 10,000 seats, assuming both show up as visible transactions.

(Again… another data flow. How many F500-types are swiping a Ramp credit card for their 7 or 8 figure AI spend? lol) 

Ramp’s approach makes zero sense and is a wildly different story than actual enterprise adoption.

Real adoption asks better questions. How many people have access? How many are active weekly? What is the total spend. Which workflows changed? Which teams depend on it? What business outcome moved?

A card transaction that reportedly treats a 2-person and 10,000 person company the same is the legit biggest red flag imaginable. 

Try This

Before your next AI vendor review, ban the word “adoption” unless the metric includes seat count, active usage, deployment scope, and workflow impact.

If the number only proves someone paid for something, label it spend visibility. Not adoption.

2. Red-team the data pool ⚡

Ramp’s data pool is not the enterprise market.

It’s Ramp’s customer base. More specifically, it’s a customer base Ramp describes as high-growth and tech-forward, which already matters when you’re comparing tools with different buyer profiles.

That doesn’t make the data useless.

It makes it narrow and already pre-skewed toward certain providers, like Anthropic or Grok. 

And narrow data gets dangerous when the headline gets broad.

There are also incentive questions that smart buyers shouldn’t ignore. Ramp sells AI spend intelligence, Anthropic features Ramp as a Claude Code customer, Brex has a public OpenAI partnership, and nearly a third of named Ramp investors overlap with Anthropic’s latest fundraising rounds. 

Don’t get us wrong….that doesn’t prove anything shady.

It does mean you shouldn’t treat the chart like neutral gospel delivered from the AI heavens. It’s bad data (percent vs. percentage points!!) and a worse methodology. 

Try This

Create a “data bias” box for every external AI report your team uses.

List the sample, who is excluded, how the data was collected, who benefits commercially, and whether the conclusion is broader than the dataset can actually support.

If the data says “our customers,” don’t let your team translate that into “the enterprise market.”

3. Notice who disappeared 🚀

The fastest way to judge the Ramp AI Index is to ask who’s missing.

Microsoft doesn’t appear on the chart.

Google barely shows up.

Meanwhile, the actual enterprise AI conversation absolutely has to include Microsoft, especially when we’re talking about 450,000,000 paid Microsoft 365 seats and $37 billion+ AI annual recurring revenue.

So if an “enterprise AI adoption” chart leaves out Microsoft and barely registers Google, that should give you enough reason to laugh it off. 

The data source can only tell you what it can see. And if it can’t see the biggest enterprise channels, it shouldn’t be steering enterprise decisions.

Try This

Build your own internal AI market map before you talk renewals.

Split vendors into four buckets: visible card spend, procurement contracts, embedded platform usage, and shadow team usage.

That forces a cleaner view of reality.

Because the winner isn’t the vendor that looks best in someone else’s dataset.

It’s the one actually changing work inside your company.

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