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The Future of AI Agents: Will there be more Agents than humans?

Exclusive AI agent insights from an industry leader, Google impresses with Gemini Workspace Studio, Anthropic's $200 million AI deal and more.

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Everyday AI
December 04, 2025

Outsmart The Future

Today in Everyday AI
8 minute read

🎙 Daily Podcast Episode: A year ago, we asked a bold question: would there be more AI agents than humans by the end of 2025? Today, that question feels less theoretical. Find out more in today’s show and give it a watch/listen.

🕵️‍♂️ Fresh Finds: Google Gemini leaks show Schedule Action Manager, How Amazon is making custom AI agents for teams, How to build no code AI agents in Workspace and more Read on for Fresh Finds.

đź—ž Byte Sized Daily AI News: Anthropic and Snowflake $200M AI Deal, Google makes splash with Gemini Workspace Studio, OpenAI makes big nonprofit investment and more Read on for Byte Sized News.

🧠 Learn & Leveraging AI: Cloudflare powers like half of the internet. We talked with their AI Agents lead on how business leaders need to prepare for the future of AI agents. Keep reading for that!

↩️ Don’t miss out: ChatGPT leaks on memory and 5.2, Amazon releases 3 new AI agents, Anthropic might be going public and more. Check it here!

The Future of AI Agents: Will there be more Agents than humans?

You're probably using AI agents without even knowing it. 🤯 

Crazier yet? 



It's very possible that there may already be more AI agent instances than humans in the world. 

Was that a bold claim we made a year ago?

Yeah. 



But did Cloudflare's Tech Lead of AI Agents agree? Also, yeah. (See, we're not that crazy.) 



So, what do you need to know about the future of AI agents? 

Well, we DO KNOW this is one episode you don't wanna miss. 



Also on the pod today:

• More AI agents than humans? 🤖
• Digital HR for managing agents 🗂️
• Agent automation vs. human skills 🏭

 It’ll be worth your 31 minutes:

Listen on our site:

Click to listen

Subscribe and listen on your favorite podcast platform

Listen on:

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

New AI Tool Spotlight – Pylar is The simplest, safest way to connect agents to your data stack, Compass is AI-powered business insights for Slack, Weather mini brings Beautifully crafted AI weather illustrations with animations

Google Photos Recap — Turn your 2025 Google Photos Recap into a customizable, shareable highlight reel

NotebookLM Leaks — Looks like Gemini 3 Pro may be headed to NotebookLM soon.

Google Scheduled Action Manager — Gemini quietly tests scheduled routines and projects to hook daily usage

ChatGPT helping Music Career — How a $200 AI “first hire” turned a solo music business around

Amazons Simple Model Customization — How AWS is making powerful, low-cost custom AI agents easy for any team—are you ready?

AI Hardware — Nvidia’s new AI server claims to run top Chinese models up to 10x faster than before, thanks to a huge pack of high-speed chips. Want to see how far the hardware race has come?

1. OpenAI snaps up AI training tracker startup Neptuneđź’°

The stock-based deal, reportedly valued at under $400 million according to Reuters, folds an existing OpenAI vendor into the company as it continues to refine and monitor its GPT large language models. Backed by Microsoft and already valued privately at around $500 billion, OpenAI is quietly consolidating key tools and talent even as it plays down the likelihood of a near-term stock market listing.

2. OpenAI Powers Nationwide Nonprofit Funding Surge 🔌

OpenAI-backed funding is lighting up the nonprofit world this week, with hundreds of organizations from coast to coast receiving funds to fuel their missions. The announcement arrives as local groups face mounting challenges in education, social justice, and community health, making the timing especially impactful.

This wave of support is set to accelerate grassroots innovation and leadership in underserved areas nationwide. For nonprofits, it’s a clear signal that AI-driven philanthropy is reshaping how change gets made in 2025.

3. Anthropic and Snowflake lock in $200M AI data deal 🤑

Anthropic and Snowflake just announced a multi‑year, $200 million expansion of their partnership, a move that cements Claude as a core AI engine inside Snowflake’s data and AI platform for thousands of global enterprises.

The deal ties Claude models into Snowflake across all major clouds, sets up a joint go‑to‑market push for AI agents, and leans heavily on Snowflake’s pitch that companies can keep sensitive data inside a governed environment while still using cutting‑edge AI. Both companies say the next phase is all about agents that can reason over complex enterprise data with high accuracy on text‑to‑SQL tasks, targeting regulated sectors that have been slower to move from small tests to full production.

4. Microsoft disputes report of lowered AI sales targets 📉

Microsoft is pushing back after a new report said it quietly cut aggressive sales growth targets for its Azure Foundry AI platform, a move that rattled investors and knocked the stock more than 2% on Wednesday.

According to The Information, many Azure sales staff failed to hit steep goals tied to Foundry, which is used by companies to build and run AI agents, and some units allegedly saw quotas reduced after widespread misses. Microsoft insists the report blurred the difference between growth and quotas and says aggregate AI sales quotas have not been lowered, signaling it wants to project confidence in its long-term AI revenue story despite short-term stumbles.

5. Meta Shifts Gear: Metaverse Seeing 30% Cuts With AI focus 🔪

Meta is slashing Reality Labs' budget by up to 30%, signaling a dramatic pivot from its costly metaverse dreams to an all-in push for artificial intelligence and smart hardware. After sinking more than $70 billion into virtual reality with little mainstream payoff, Mark Zuckerberg’s team is now betting on AI tools and wearables like the popular Ray-Ban smart glasses.

This strategic U-turn, reportedly mapped out in Hawaii, shows Meta chasing near-term gains and investor confidence while risking its early lead in spatial computing as rivals circle. All eyes now turn to January’s earnings call for official confirmation and a glimpse at Meta’s new roadmap.

6. Google Unveils Workspace Studio, Ushering in DIY AI Agents for Work 🛠️

Google has officially launched Workspace Studio, a platform that lets anyone—no coding required—create AI agents to automate tasks across its popular business apps. Powered by the Gemini 3 model, these agents can tackle everything from email sorting to complex project updates, aiming to slash hours spent on repetitive digital chores.

Google says early testers saw dramatic productivity boosts, with some workflows completed in minutes instead of hours. This rollout signals Google's big push to make workplace AI accessible to the masses, not just tech pros.

A year ago, we made the kinda wild prediction that there’d be more AI agents in 2025 than humans. 

People LOLed at us. 

And he knows a thing or three about agents. He’s the Tech Lead of AI Agents at Cloudflare, the company that pretty much powers the internet. 

Here’s what people are overlooking: agentic AI is happening in the background when we barely even notice. 

So on today’s show, we got the hot AI agent tea from a leader on the forefront and he laid out the AI Agent blueprint every business leader needs in 2026. 

Let’s get it.

1. The Species Barrier Has Broken 🚀

The math is terrifyingly simple.

Start with ChatGPT’s one billion monthly users. If each session counts as an agentic loop—where a bot takes inputs and executes goals—you’re already at a billion. Now factor in proactive tech like ChatGPT Pulse and the millions of enterprise bots running silently on Cloudflare’s network 20 milliseconds away from 90% of the human population.

We are vastly outnumbered.

Real talk here.

While your board debates if AI is "ready" for enterprise deployment, the infrastructure layer is already scaling to support a world where software does the goal-setting. The Turing test was solved eighteen months ago. The real question now is whether your infrastructure can handle a digital population boom that’s already consuming your competitors' compute power.

Try This

Stop counting your AI tools and start auditing your "shadow agents" immediately.

Open your software usage logs or API dashboard this morning. You are looking for high-frequency, automated workflows—Zapier loops, custom scripts, or "smart" features—that trigger more than 50 times a day without human intervention.

Classify them by autonomy level. Are they just repeating tasks, or are they making decisions?

If you can’t answer that, you have a massive security blind spot. Identify your top three unauthorized agents and formalize them into a managed pilot program by Friday before they start making decisions you didn't authorize.

2. Your Agents Are Drunk Interns 🔥

Here is the brutal reality of deploying agents that most vendors hide.

If you have one employee managing twenty agents, you don't have productivity. You have a management crisis. Without the right guardrails, these bots go out in the middle of the night, get what Sunil calls "digital drugs," and show up to work high—hallucinating data and looping infinitely on bad logic.

You need Digital HR.

You need observability systems for your bots just like you have performance reviews for your people. It’s not enough to deploy the code. You need to know when they're working, when they're failing, and when they're making decisions that could take down a server. Cloudflare is building this at the network level, but your internal operations are likely running blind.

Try This

Create a mandatory "performance review" protocol for your AI agents this week.

Set up a simple log that tracks three specific metrics for every active agent: Success rate (did it achieve the goal?), Cost per execution (token usage), and "Hallucination rate" (how often did a human have to intervene?).

Review this every Monday morning.

If an agent requires human intervention more than 20% of the time, fire it. Downgrade it back to a standard automation script immediately. Don't let bad agents clutter your workflow just because the tech feels futuristic.

3. The 90% Failure Requirement ⚡

Sunil was painfully honest about what winning actually looks like.

They will fail. They will break. They won’t save time.

But that one successful attempt? That puts you in the top 1% of the market. The competitive advantage doesn't come from a perfect strike rate. It comes from the volume of experiments you run to find that single golden use case.

Most leaders are frozen because they're afraid of the nine failures.

Wrong.

Cloudflare sees millions of requests and knows the companies winning right now are the ones treating failure as data acquisition. The models are getting smarter every week. If you wait until they are perfect, you won't have the operational muscle memory to use them when they arrive.

Try This

Allocate a specific "failure budget" for your team's time this month.

Explicitly tell your direct reports they are expected to spend two hours a week testing low-stakes automations that might not work. Focus on personal drudgery first—ask them to automate invoice sorting, calendar Tetris, or email triage.

When they report back that 90% of it didn't work, celebrate the data.

Then take the one thing that did work—maybe a tax calculation agent or a meeting summarizer—and scale that across the entire department immediately.

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