Google Just Dropped HUGE AI Bombshells at I/O 2026! Gemini Omni & Spark Are INSANE

Open AI is still selling chatbots.

Anthropic is still selling Claude. And

while the rest of the AI industry talks about agents, Google just turned every one of its products into one. At Google

IO 2026, the company didn't just upgrade Gemini. It shipped the most agentic

Gemini. It shipped the most agentic update in its history. A new personal AI agent called Gemini Spark can now work for you 24 hours a day, even when your

phone is turned off. A new model called Gemini Omni can simulate reality itself, generating video grounded in real-world physics. Search, Chrome, Gmail, YouTube,

physics. Search, Chrome, Gmail, YouTube, and even shopping are being rebuilt around AI agents that take action on your behalf. And the scale Google is

your behalf. And the scale Google is operating at is now so large that no other company on the planet can match it. Let's start with Gemini Spark,

it. Let's start with Gemini Spark, because this is the announcement that defined the entire keynote. Spark is a personal AI agent that runs around the clock on dedicated virtual machines in Google Cloud. The key part is that it

Google Cloud. The key part is that it works in the background, even when your phone or laptop is off. You give it a task, walk away, and Spark keeps working. It connects natively with

working. It connects natively with Gmail Calendar Drive Docs Sheets Slides, YouTube, and Google Maps. Josh

Woodward, who leads Google Labs and the Gemini app, described the experience as tossing things over your shoulder and Spark catching them. Sundar Pichai

called it the next evolution of digital assistants. Spark is built on Gemini 3.5

assistants. Spark is built on Gemini 3.5 and the anti-gravity harness, and the beta opens to US AI Ultra subscribers next week. If your phone could complete

next week. If your phone could complete tasks while it is turned off, how much of your daily workflow would you actually hand over to it? Tell me below in the comments. Behind Spark is a brand

new model. Google launched Gemini 3.5

new model. Google launched Gemini 3.5 Flash on the same day as the keynote, and it is already the default model in the Gemini app and AI mode in Search worldwide. If you opened Gemini today,

worldwide. If you opened Gemini today, you are already running it. The model is optimized heavily for agentic coding and long horizon tasks. Inside Google's own

developer platform, Gemini 3.5 Flash reportedly runs at 12 times the speed of comparable frontier models. Google also

claims it can cut enterprise AI costs by more than $1 billion per year. That

number alone shows the kind of pressure Google is putting on the rest of the industry, but the bigger jump came with another model. Gemini Omni is Google's

another model. Gemini Omni is Google's new world model, and Pichai described it as the leap from predicting text to simulating reality. Omni accepts image,

simulating reality. Omni accepts image, audio, video, and text input. Right now,

it outputs video grounded in real-world physics that can be edited natively.

Image and text outputs are coming over time. It is already live in the Gemini

time. It is already live in the Gemini app, in Google Flow, and inside YouTube Shorts. This is Google's most direct

Shorts. This is Google's most direct shot at OpenAI's Sora and Runway, and it is the first time a major lab has shipped a real-world model in a consumer product. The engine powering all of this

product. The engine powering all of this is Anti-gravity 2.0. Google fully

reimagined its developer platform around AI agents. Anti-gravity 2.0 ships as a

AI agents. Anti-gravity 2.0 ships as a standalone desktop app, a command line tool, and a software development kit. It

supports parallel sub-agent execution, scheduled background tasks, and integrations across AI Studio, Android, and Firebase. The data point Pichai

and Firebase. The data point Pichai showed on stage was staggering. In

March, Google's own developers were processing half a trillion tokens per day inside Anti-gravity. By mid-May,

that number was over 3 trillion. That is

a six-times jump in just 10 weeks. This

is the flywheel powering every other announcement. What happens to regular

announcement. What happens to regular software developers when AI agents can build, deploy, and ship code faster than humans can review it? Drop your answer below. The next big shift moves into

below. The next big shift moves into search. Google introduced information

search. Google introduced information agents, personalized AI agents that you can set up to run in the background 24 hours a day. They monitor the web for you and alert you the exact moment

something happens. A price drops, a job

something happens. A price drops, a job opens, a flight gets cheaper. You no

longer search. The agent searches for This is the first time agentic AI has been embedded directly inside Google Search, the most used product on the internet. Rolling out this summer to AI

internet. Rolling out this summer to AI Pro and Ultra subscribers. Shopping is

also being rebuilt around agents. Google

launched Universal Cart, an AI-powered shopping cart that lives across Search, the Gemini app, YouTube, and Gmail. The

moment you add a product, the cart goes to work in the background. It hunts for deals, tracks price drops, surfaces price history, and alerts you the second something comes back Behind it sits a new system called the

Universal Commerce Protocol. This lets

AI agents browse retailer inventories and handle the entire checkout from inside Search. Google is quietly

inside Search. Google is quietly building the infrastructure for AI agents to do all your shopping for you.

Search itself is changing in a way that has not happened in nearly three decades. Powered by Gemini 3.5 Flash and

decades. Powered by Gemini 3.5 Flash and Anti-gravity, Search now uses agentic coding to generate custom layouts and interactive visuals tailored to each specific question. Ask a complex query,

specific question. Ask a complex query, and instead of a list of blue links, you get a dynamic interface built in real time for that exact question. The

product that defined the modern internet is now becoming something completely different. This is generative UI hitting

different. This is generative UI hitting Search at full scale. Google also moved aggressively into hardware. Samsung and

Google jointly unveiled their first smart glasses, branded as intelligent eyewear. Two design partners came on

eyewear. Two design partners came on board, Gentle Monster for fashion-forward styles, Warby Parker for classic frames. Launching this fall with

classic frames. Launching this fall with cross-platform support for both Android and iPhone, which is a direct shot at Meta's Ray-Ban glasses. The glasses run Android XR and are powered by Gemini.

Features include live translation that matches the speaker's voice, turn-by-turn navigation, summarized notifications, and hands-free Gemini access. Two categories exist, audio-only

access. Two categories exist, audio-only glasses and display glasses with AR overlays. Analyst estimates put the

overlays. Analyst estimates put the price between $600 and $900. If you

could wear Gemini on your face all day, would you actually use it, or does it still feel too early for smart glasses?

Let me know in the comments. That

question matters more when you see the scale Google is operating at. Pichai

dropped some genuinely shocking numbers.

Google now processes 3.2 quadrillion tokens per month. A year ago, that number was 480 trillion. The Gemini app went from 400 million to 900 million

monthly active users in just 12 months.

AI Overviews now serves 2.5 billion monthly users. Nano Banana, Google's

monthly users. Nano Banana, Google's image tool, has generated over 50 billion images. And the company plans to

billion images. And the company plans to spend between 180 and 190 billion dollars on AI in 2026 alone. That is

roughly six times what it spent in 2022.

This is the context for everything else.

No other company on the planet is operating at this scale. That scale lets Google do something nobody else can. It

can push agentic AI into every product you already use. Beyond Spark, the company launched a wave of agentic features across the entire ecosystem.

Daily Brief gives you a proactive Gemini briefing each morning. Docs Live lets you create entire documents by talking to Gemini Live. Gmail Live brings voice-driven email composition. Google

Picks is a new image generation and editing tool. Ask YouTube reimagines how

editing tool. Ask YouTube reimagines how you find videos by letting you talk to Gemini directly. And Code Mentor is a

Gemini directly. And Code Mentor is a new AI security agent that finds and fixes vulnerabilities inside your code automatically. The bigger picture is

automatically. The bigger picture is this. ChatGPT and Claude are destination

this. ChatGPT and Claude are destination apps. You go to them. Google is doing

apps. You go to them. Google is doing the opposite. It is turning every

the opposite. It is turning every product you already open every day into an agent. Inbox, browser, search, maps,

an agent. Inbox, browser, search, maps, docs, shopping, video, and now even your glasses. That is a distribution

glasses. That is a distribution advantage no AI lab can match. What

Google announced at IO 2026 is not a new feature wave. It is a structural shift

feature wave. It is a structural shift in how the internet works. The chatbot

era is ending. The agent era has officially begun. And this is only the

officially begun. And this is only the warm-up because the next round of AI hardware is just months away. And if you think that's crazy, wait until you hear this. Anthropic may be the most

this. Anthropic may be the most confusing AI company in the world right now. One month, people are angry because

now. One month, people are angry because Claude is running out of usage. The next

month, Anthropic is signing some of the biggest compute deals in the AI industry. One moment, Elon Musk is

industry. One moment, Elon Musk is calling the company dangerous and hypocritical. The next moment, he is

hypocritical. The next moment, he is giving Anthropic access to one of the most powerful AI data centers on Earth.

And behind all of this is a bigger story about Claude, OpenAI, the Pentagon, cybersecurity, jobs, and the future of the AI race. To understand what's happening with Anthropic, we have to

start with one simple mistake. Anthropic

did not buy enough compute. Dario

Amodei, the CEO of Anthropic, had a very cautious approach. He did not want the

cautious approach. He did not want the company to spend insane amounts of money on chips and data centers if AI demand suddenly slowed down. And honestly, that fear was not crazy. In AI, compute is

not like buying a normal laptop. These

companies are spending billions of dollars on data centers before they even know if the revenue will arrive fast enough. Amodei warned that if a company

enough. Amodei warned that if a company is even one year wrong about AI growth, or if growth is slower than expected, it can go bankrupt. So, Anthropic played it safer. But then, Claude exploded. Claude

safer. But then, Claude exploded. Claude

code became one of the hottest tools for developers. More companies started using

developers. More companies started using Claude. More people began running long

Claude. More people began running long coding tasks, agent workflows, and huge documents through the model. And

suddenly, the conservative compute strategy turned into a real problem.

Users started hitting limits faster.

During peak hours, Anthropic made usage caps tighter for some free, pro, and max users. The company said weekly limits

users. The company said weekly limits were not changing, but users would move through their 5-hour session limits faster during busy weekday hours.

Business Insider reported that around 7% of users were expected to be affected, especially pro users doing heavy tasks.

And then came the open claw issue. Open

claw was a third-party agentic tool that let people use claw in a much more powerful way. It could help with things

powerful way. It could help with things like inboxes, calendars, and complex online tasks. But these agentic

online tasks. But these agentic workflows burn through a lot more compute than normal chat. So Anthropic

changed the rules. Starting in April, users could no longer use their normal Claude subscription limits for third-party tools like Open Claude. They

had to pay separately through usage bundles or API access. To Anthropic,

this was responsible capacity management. To many users, it felt like

management. To many users, it felt like the company had changed the deal after people had already paid. That is why Claude went through a very strange moment. People loved the model.

moment. People loved the model.

Developers respected it. But the actual user experience started feeling unstable. One day you had enough usage.

unstable. One day you had enough usage.

The next day you were limited. One day

Claude code seemed included. The next

day users were unsure what their plan actually covered. And for a company

actually covered. And for a company built around trust, reliability, and safety, this became a serious PR problem. So Anthropic had to make a huge

problem. So Anthropic had to make a huge correction. And the correction was

correction. And the correction was simple. Buy more compute faster than

simple. Buy more compute faster than ever before. On May 6th, Anthropic

ever before. On May 6th, Anthropic announced higher usage limits and a new compute deal with SpaceX. The company

said it would double Claude code's 5-hour rate limits for pro, max, team, and seat-based enterprise plans. It also

removed the peak hour limit reduction for Claude code on pro and max accounts and raised API rate limits for Claude Opus models. But the biggest part was

Opus models. But the biggest part was the SpaceX deal. Anthropic said it had signed an agreement to use all of the compute capacity at SpaceX's Colossus 1 data center, giving Claude access to

more than 300 megawatts of new capacity and over 220,000 Nvidia GPUs. This is a massive shift. Anthropic went from being

massive shift. Anthropic went from being cautious about overbuying compute to suddenly locking down some of the biggest AI infrastructure deals in the world. It also announced up to 5

world. It also announced up to 5 gigawatts of capacity from Amazon, a 5 gigawatt agreement with Google and Broadcom, 30 billion dollars of Azure capacity through Microsoft and Nvidia,

and a 50 billion dollar investment in American AI infrastructure with Fluidstack. Anthropic also committed to

Fluidstack. Anthropic also committed to spending $200 billion with Google Cloud over five years. That number shows how serious this race has become. This is

not a normal software company scaling servers. This is an AI company trying to

servers. This is an AI company trying to build the energy and chip supply chain needed to serve hundreds of millions of users and thousands of enterprises. But

the strangest part of the compute story is Elon Musk. Just a few months earlier, Musk was publicly criticizing Anthropic.

Reports said he had called the company evil, misanthropic, and hypocritical.

Then suddenly, SpaceX was leasing Anthropic its Colossus 1 data center.

Musk later said that after spending time with Anthropic's leadership, "No one set off my evil detector." On the surface, this looks like a shocking U-turn. But

the business logic is easy to understand. Compute is now one of the

understand. Compute is now one of the most valuable resources in the world. If

SpaceX has massive compute capacity available and Anthropic is willing to pay for it, that is a powerful financial opportunity. There is also another

opportunity. There is also another layer. Musk is still fighting OpenAI in

layer. Musk is still fighting OpenAI in a long and bitter legal and public battle. So, helping Anthropic, one of

battle. So, helping Anthropic, one of OpenAI's strongest rivals, also puts more pressure on Sam Altman's company.

And OpenAI noticed the moment. While

Anthropic was dealing with user frustration, quota confusion, and pricing anger, OpenAI saw an opening.

Business Insider reported that OpenAI and Anthropic were almost trying to out-freebie each other. Sam Altman

announced two months of free Codex usage for companies that signed up within 30 days. Less than an hour later, Anthropic

days. Less than an hour later, Anthropic announced that Claude code weekly limits would increase by 50% until July 13th for Pro, Max, Team, and Enterprise

users. This is where the AI war becomes

users. This is where the AI war becomes very practical. For normal people, AI

very practical. For normal people, AI competition sounds like benchmarks and model names. But for users, it comes

model names. But for users, it comes down to something much simpler. Which

tool lets me work without hitting a wall? And right now, some users who were

wall? And right now, some users who were frustrated with Claude started trying ChatGPT again. That does not mean Claude

ChatGPT again. That does not mean Claude is weak. In fact, Claude is still

is weak. In fact, Claude is still considered one of the best models for writing, coding, and long context work.

But, reliability matters. If a developer is halfway through a project and suddenly hits a limit, that frustration can push them to another platform.

OpenAI is also going through its own strategy reset. The company spent time

strategy reset. The company spent time expanding into many areas, including Sora, its AI video product, and Atlas, its AI-powered browser. But, Sora was discontinued with OpenAI confirming that

the Sora web and app experiences ended on April 26th, 2026. Reuters reported

that OpenAI shifted focus toward coding tools, corporate clients, and AGI after dropping Sora. That matters because

dropping Sora. That matters because Anthropic has been winning ground in enterprise and developer workflows, exactly the area OpenAI does not want to lose. OpenAI may have the stronger

lose. OpenAI may have the stronger consumer brand because of ChatGPT, but Anthropic has built a very strong reputation among serious business users.

So, now both companies are fighting for the same customer, the developer, the enterprise team, the finance worker, the lawyer, the consultant, and the company that wants AI inside real workflows. Who

do you think is winning the AI race right now? Anthropic, OpenAI, Google, or

right now? Anthropic, OpenAI, Google, or XAI? Let us know in the comments. But,

XAI? Let us know in the comments. But,

the competition is not only about customers. It is also about values.

customers. It is also about values.

Anthropic's biggest political fight came from the Pentagon dispute. The company

refused to remove guardrails against using Claude for fully autonomous weapons or mass domestic surveillance.

After that, the US Department of War designated Anthropic as a supply chain risk. Anthropic said it was legally

risk. Anthropic said it was legally unsound and decided to challenge it in court. Anthropic sued to block the

court. Anthropic sued to block the Pentagon from placing it on a national security blacklist, arguing that the designation was unlawful and violated its free speech and due process rights.

OpenAI took a different path. It reached

an agreement with the Pentagon to deploy advanced AI systems in classified environments. OpenAI said the deal

environments. OpenAI said the deal included red lines, no mass domestic surveillance, no directing autonomous weapon systems, and no high stakes automated decisions like social credit systems. So the contrast is clear.

Anthropic is trying to prove that safety limits are non-negotiable, even if it creates government conflict. Open AI is trying to prove that it can work with the government while keeping guardrails in place. Both companies say they are

in place. Both companies say they are acting responsibly, but they are choosing very different strategies. Then

there is Mythos. Anthropic introduced

Project Glasswing because of what it saw from Claude Mythos preview, an unreleased frontier model focused on cybersecurity. Some industry reports

cybersecurity. Some industry reports describe Mythos as a possible 10 trillion parameter class model, but Anthropic's official statement is more careful. What Anthropic did say is

careful. What Anthropic did say is already dramatic enough. Mythos preview

can find and exploit software vulnerabilities at a level that surpasses almost all human experts.

Anthropic said it found thousands of high severity vulnerabilities, including flaws in major operating systems and web browsers. It even found a 27-year-old

browsers. It even found a 27-year-old OpenBSD vulnerability, a 16-year-old FFmpeg vulnerability, and chained Linux kernel vulnerabilities. That is both

kernel vulnerabilities. That is both exciting and terrifying. In the hands of defenders, a model like Mythos could help secure the internet. In the hands of attackers, it could create a new era

of automated hacking. That is why Anthropic limited the release through Project Glasswing, working with major technology and financial partners instead of giving the model to everyone.

After that came Claude Opus 4.7.

Anthropic said Opus 4.7 improved vision, coding, professional tasks, documents, interfaces, and real-world agentic workflows. But it also admitted

workflows. But it also admitted something important. Opus 4.7 was

something important. Opus 4.7 was intentionally trained so its cybersecurity capabilities were not as advanced as Mythos preview. In simple

words, Anthropic made the public model stronger in useful areas, but weaker in the dangerous cyber area. And that is the core Anthropic story. This company

wants to move fast, but not in the same way as everyone else. It wants to win enterprise customers, but it also wants to define the safety rules of the industry. It wants massive compute, but

industry. It wants massive compute, but it was scared of buying too much too early. It wants powerful models, but it

early. It wants powerful models, but it is willing to hold back the most dangerous capabilities. Meanwhile, the

dangerous capabilities. Meanwhile, the money is getting unbelievable. Recent

reports say Anthropic has been discussing a $30 billion funding round at around a $900 billion valuation with projected annualized revenue reaching

toward $45 billion. And this is why the IPO race is becoming real. Anthropic,

OpenAI, and Musk's xAI empire are no longer just labs. They are becoming infrastructure companies, software companies, defense contractors, cloud customers, and possibly some of the most

valuable companies on Earth. But the

biggest question is not just who wins.

The biggest question is what happens to people. Dario Amodei has warned that AI

people. Dario Amodei has warned that AI could wipe out half of entry-level white-collar jobs within 5 years and push unemployment much higher. He says

governments and AI companies are sugarcoating the risk. Sam Altman has a more optimistic view. He agrees many jobs will change, but he argues AI will help people create more, build more, and

live with greater abundance. Which

vision sounds more realistic to you?

Dario Amodei's warning about job loss or Sam Altman's optimism about AI creating abundance? Drop your thoughts in the

abundance? Drop your thoughts in the comments. So, Anthropic is not just a

comments. So, Anthropic is not just a company story. It is a preview of the

company story. It is a preview of the entire AI future. Compute is scarce.

Users are impatient. Governments want

access. Hackers want power. Enterprises

want productivity. Investors want

trillion-dollar returns. And workers

want to know if AI will help them or replace them. Claude may be just one

replace them. Claude may be just one chatbot on the surface, but behind it is a battle over infrastructure, safety, money, military power, cybersecurity, and the future of work. And that is why

Anthropic matters. Because whether you

Anthropic matters. Because whether you use Claude or ChatGPT, the choices these companies make now could decide what the next decade of AI actually looks like.

But while Anthropic is trying to control how powerful Claude becomes, Elon Musk's xAI is moving in the opposite direction.