GOOGLE KEEPS DELAYING GEMINI 3.5 PRO—AND THE AI HYPE CLOCK IS TICKING
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GOOGLE KEEPS DELAYING GEMINI 3.5 PRO—AND THE AI HYPE CLOCK IS TICKING
After months of enormous expectations, carefully placed teasers and breathless predictions about Google’s next major AI model, users were told Gemini 3.5 Pro was almost ready.
Google had already unveiled the model at its I/O conference in May.
CEO Sundar Pichai reportedly said it would arrive “next month.”
That meant June.
Simple enough—or so we thought.
JUNE CAME AND WENT
Google spent May presenting Gemini 3.5 Pro as its next frontier model: smarter, more capable and better equipped to handle difficult coding projects, long-running tasks and autonomous AI agents.
Then June arrived.
Users waited.
Developers waited.
Gemini Ultra subscribers waited.
And Gemini 3.5 Pro did not arrive.
Reports later indicated Google had moved the release from June into July, giving the company additional time to gather feedback from early testers and continue adjusting the model.
Fair enough.
Frontier AI models are complicated. A few additional weeks of testing is hardly the end of the world.
Except July arrived too.
## THEN THE JULY RELEASE STARTED DISAPPEARING
As of July 17, 2026, Gemini 3.5 Pro still has not received the broad public release users were expecting.
The story has now reportedly moved beyond a small, last-minute delay.
Bloomberg’s reporting, as summarized by MarketWatch, says Gemini 3.5 Pro is months behind schedule while Google attempts to improve its performance. The delay has reportedly frustrated engineers and AI researchers inside the company.
In other words, this no longer sounds like someone adjusting the final settings before pressing the launch button.
It sounds like Google may still be trying to make sure the rocket flies.
THE CODING PROBLEM WILL NOT GO AWAY
Coding appears to be one of the major pressure points.
Google reportedly updated Gemini’s training data in June in an attempt to improve its code-writing capabilities, but the resulting performance was described as disappointing.
That is not a minor issue.
Coding has become one of the most visible battlegrounds in the AI industry. Developers are not simply asking these models to answer programming questions anymore. They are asking them to inspect repositories, repair bugs, operate tools and complete projects that can take hours—or even days.
Gemini 3.5 Pro was expected to strengthen Google’s position in exactly this area.
Instead, the model currently appears to be stuck debugging itself.
GOOGLE ANNOUNCED IT BEFORE IT WAS READY
This is where the situation becomes awkward.
Google did not merely allow internet rumors to grow around an imaginary model.
The company showed Gemini 3.5 Pro at Google I/O.
Its CEO gave users a public release window.
The model was reportedly being tested by select users through Google’s Antigravity development platform and the LMArena benchmarking site.
Google created the expectation that the finish line was close.
June became July.
July has now become an unanswered question.
And Google has not publicly provided a firm replacement date.
A Google spokesperson declined to comment when Business Insider reported that the model had been pushed into July.
Apparently, even Google’s communications team is waiting for Gemini 3.5 Pro to finish thinking.
THE COMPETITION IS NOT WAITING
The AI industry does not pause politely while one company perfects its next model.
Every additional week gives competing laboratories more time to release upgrades, attract developers and convince businesses to build around their platforms.
Google has enormous advantages. It owns its infrastructure, builds its own chips, operates one of the world’s largest cloud platforms and can place Gemini across Search, Android, Workspace and countless other products.
But enormous resources also create enormous expectations.
When a smaller laboratory delays a model, users may barely notice.
When Google previews its most powerful upcoming system, promises it within weeks and then reportedly falls months behind schedule, people begin asking what went wrong.
Alphabet shares fell more than 4% on Thursday amid reporting about the Gemini delay and broader concerns surrounding the AI market.
The unreleased chatbot has somehow already managed to generate a very real reaction.
PERHAPS THE MODEL SIMPLY WAS NOT GOOD ENOUGH
There is an obvious explanation for the delay.
Gemini 3.5 Pro may not yet be performing at the level Google believes is necessary.
That would not make the company incompetent. It may actually be more responsible to delay the release than to ship a disappointing or unreliable model simply to satisfy an announced deadline.
Frontier-model training is unpredictable. Improvements that look promising internally do not always survive real-world testing. Fixing one weakness can create another. A coding upgrade may improve benchmark results while making the model slower, more expensive or less reliable elsewhere.
Taking additional time can therefore be the correct decision.
But users are also entitled to notice when “next month” quietly transforms into “eventually.”
THE HYPE TRAIN IS STUCK AT THE STATION
Gemini 3.5 Pro arrived surrounded by predictions that it could restore Google’s position at the front of the AI race.
It was expected to improve coding.
It was expected to handle longer autonomous tasks.
It was expected to power more capable agents.
At the moment, however, its most impressive ability may be extending a release window.
Could Google eventually launch an incredible model that justifies the delay?
Absolutely.
Could Gemini 3.5 Pro arrive and immediately compete with—or surpass—the strongest systems available?
Certainly.
But that model is not the one people can use today.
Today’s Gemini 3.5 Pro remains a presentation, a promise and an increasingly flexible date on the calendar.
NICE TRY, GOOGLE
This does not mean Gemini 3.5 Pro will be a failure.
Google DeepMind has some of the world’s strongest researchers, immense computing resources and a history of producing highly capable AI systems. Delaying the model may ultimately result in a dramatically better product.
However, first impressions matter—especially when customers are paying for premium AI subscriptions after being shown features and models that remain unavailable.
Google told users Gemini 3.5 Pro was coming in June.
Then reports pointed toward July.
Now the model is reportedly months behind schedule, coding improvements have allegedly produced disappointing results and no firm public release date has replaced the original promise.
Perhaps Gemini 3.5 Pro is performing an extremely advanced long-horizon task.
Unfortunately, that task appears to be launching Gemini 3.5 Pro.
Nice try, Google.
But perhaps do not announce the month until the model can read a calendar.
After months of enormous expectations, carefully placed teasers and breathless predictions about Google’s next major AI model, users were told Gemini 3.5 Pro was almost ready.
Google had already unveiled the model at its I/O conference in May.
CEO Sundar Pichai reportedly said it would arrive “next month.”
That meant June.
Simple enough—or so we thought.
JUNE CAME AND WENT
Google spent May presenting Gemini 3.5 Pro as its next frontier model: smarter, more capable and better equipped to handle difficult coding projects, long-running tasks and autonomous AI agents.
Then June arrived.
Users waited.
Developers waited.
Gemini Ultra subscribers waited.
And Gemini 3.5 Pro did not arrive.
Reports later indicated Google had moved the release from June into July, giving the company additional time to gather feedback from early testers and continue adjusting the model.
Fair enough.
Frontier AI models are complicated. A few additional weeks of testing is hardly the end of the world.
Except July arrived too.
## THEN THE JULY RELEASE STARTED DISAPPEARING
As of July 17, 2026, Gemini 3.5 Pro still has not received the broad public release users were expecting.
The story has now reportedly moved beyond a small, last-minute delay.
Bloomberg’s reporting, as summarized by MarketWatch, says Gemini 3.5 Pro is months behind schedule while Google attempts to improve its performance. The delay has reportedly frustrated engineers and AI researchers inside the company.
In other words, this no longer sounds like someone adjusting the final settings before pressing the launch button.
It sounds like Google may still be trying to make sure the rocket flies.
THE CODING PROBLEM WILL NOT GO AWAY
Coding appears to be one of the major pressure points.
Google reportedly updated Gemini’s training data in June in an attempt to improve its code-writing capabilities, but the resulting performance was described as disappointing.
That is not a minor issue.
Coding has become one of the most visible battlegrounds in the AI industry. Developers are not simply asking these models to answer programming questions anymore. They are asking them to inspect repositories, repair bugs, operate tools and complete projects that can take hours—or even days.
Gemini 3.5 Pro was expected to strengthen Google’s position in exactly this area.
Instead, the model currently appears to be stuck debugging itself.
GOOGLE ANNOUNCED IT BEFORE IT WAS READY
This is where the situation becomes awkward.
Google did not merely allow internet rumors to grow around an imaginary model.
The company showed Gemini 3.5 Pro at Google I/O.
Its CEO gave users a public release window.
The model was reportedly being tested by select users through Google’s Antigravity development platform and the LMArena benchmarking site.
Google created the expectation that the finish line was close.
June became July.
July has now become an unanswered question.
And Google has not publicly provided a firm replacement date.
A Google spokesperson declined to comment when Business Insider reported that the model had been pushed into July.
Apparently, even Google’s communications team is waiting for Gemini 3.5 Pro to finish thinking.
THE COMPETITION IS NOT WAITING
The AI industry does not pause politely while one company perfects its next model.
Every additional week gives competing laboratories more time to release upgrades, attract developers and convince businesses to build around their platforms.
Google has enormous advantages. It owns its infrastructure, builds its own chips, operates one of the world’s largest cloud platforms and can place Gemini across Search, Android, Workspace and countless other products.
But enormous resources also create enormous expectations.
When a smaller laboratory delays a model, users may barely notice.
When Google previews its most powerful upcoming system, promises it within weeks and then reportedly falls months behind schedule, people begin asking what went wrong.
Alphabet shares fell more than 4% on Thursday amid reporting about the Gemini delay and broader concerns surrounding the AI market.
The unreleased chatbot has somehow already managed to generate a very real reaction.
PERHAPS THE MODEL SIMPLY WAS NOT GOOD ENOUGH
There is an obvious explanation for the delay.
Gemini 3.5 Pro may not yet be performing at the level Google believes is necessary.
That would not make the company incompetent. It may actually be more responsible to delay the release than to ship a disappointing or unreliable model simply to satisfy an announced deadline.
Frontier-model training is unpredictable. Improvements that look promising internally do not always survive real-world testing. Fixing one weakness can create another. A coding upgrade may improve benchmark results while making the model slower, more expensive or less reliable elsewhere.
Taking additional time can therefore be the correct decision.
But users are also entitled to notice when “next month” quietly transforms into “eventually.”
THE HYPE TRAIN IS STUCK AT THE STATION
Gemini 3.5 Pro arrived surrounded by predictions that it could restore Google’s position at the front of the AI race.
It was expected to improve coding.
It was expected to handle longer autonomous tasks.
It was expected to power more capable agents.
At the moment, however, its most impressive ability may be extending a release window.
Could Google eventually launch an incredible model that justifies the delay?
Absolutely.
Could Gemini 3.5 Pro arrive and immediately compete with—or surpass—the strongest systems available?
Certainly.
But that model is not the one people can use today.
Today’s Gemini 3.5 Pro remains a presentation, a promise and an increasingly flexible date on the calendar.
NICE TRY, GOOGLE
This does not mean Gemini 3.5 Pro will be a failure.
Google DeepMind has some of the world’s strongest researchers, immense computing resources and a history of producing highly capable AI systems. Delaying the model may ultimately result in a dramatically better product.
However, first impressions matter—especially when customers are paying for premium AI subscriptions after being shown features and models that remain unavailable.
Google told users Gemini 3.5 Pro was coming in June.
Then reports pointed toward July.
Now the model is reportedly months behind schedule, coding improvements have allegedly produced disappointing results and no firm public release date has replaced the original promise.
Perhaps Gemini 3.5 Pro is performing an extremely advanced long-horizon task.
Unfortunately, that task appears to be launching Gemini 3.5 Pro.
Nice try, Google.
But perhaps do not announce the month until the model can read a calendar.
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