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a new commercial from Google asks: What if the Founding Fathers had access to Google Workspace?

With the tagline “Group project, but make it 1776,” the ad depicts a largely unseen Thomas Jefferson mid-draft when he gets a nagging text from Ben Franklin, leading to a very Google-centric collaboration process. Edits are suggested in Google Docs, a meeting gets scheduled in Google Calendar and conducted remotely via Google Meet (with every single attendee apparently turning their camera off?), then the whole thing is finalized with e-signatures; cue the fireworks.

Of course, since this is an ad from a tech company in the year 2026, AI has a role to play. The fictionalized founders use Google’s “help me visualize” AI tool to try out different animals on the national seal, Gemini takes notes on the meeting, and the founders also ask the chatbot for advice before declining King George III’s document access request.

The whole thing is very tongue-in-cheek (at one point, Sam Adams asks, “Can we settle this over beers?”), and the AI evangelism is relatively discreet when compared to many other recent ads. And unlike that infamous Google commercial in which a father uses Gemini to write a fan letter for his daughter, this one shies away from any suggestion that the actual text of the Declaration of Independence would be improved with AI. Perhaps the most AI-forward element of the ad is the footage itself, which to my eye has the uncanny glow of AI-generated video.

While viewer comments on YouTube and Instagram appear to be mostly positive, you may not be surprised to learn that the response on Bluesky has been far more critical. Posters declared the commercial “cringey” and “stunningly tone deaf,” and the AI angle was the biggest target — even as many users, including historian Angus Johnston, noted that it’s “amazing how little of this is actually AI.”

“Even in a corny fantasy joke, it’s impossible to make the case that AI is a useful tool for political organizing, writing, or human collaboration,” Johnston said.

[embed]https://www.youtube.com/watch?v=Q3RjZY-rSsc[/embed]

When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.

#Google #commercial #imagines #Declaration #Independence #written #TechCrunchgemini,Google"> New Google commercial imagines a Declaration of Independence written with help from AI | TechCrunch
Two hundred and fifty years after the signing of the Declaration of Independence, a new commercial from Google asks: What if the Founding Fathers had access to Google Workspace?

With the tagline “Group project, but make it 1776,” the ad depicts a largely unseen Thomas Jefferson mid-draft when he gets a nagging text from Ben Franklin, leading to a very Google-centric collaboration process. Edits are suggested in Google Docs, a meeting gets scheduled in Google Calendar and conducted remotely via Google Meet (with every single attendee apparently turning their camera off?), then the whole thing is finalized with e-signatures; cue the fireworks.







Of course, since this is an ad from a tech company in the year 2026, AI has a role to play. The fictionalized founders use Google’s “help me visualize” AI tool to try out different animals on the national seal, Gemini takes notes on the meeting, and the founders also ask the chatbot for advice before declining King George III’s document access request.

The whole thing is very tongue-in-cheek (at one point, Sam Adams asks, “Can we settle this over beers?”), and the AI evangelism is relatively discreet when compared to many other recent ads. And unlike that infamous Google commercial in which a father uses Gemini to write a fan letter for his daughter, this one shies away from any suggestion that the actual text of the Declaration of Independence would be improved with AI. Perhaps the most AI-forward element of the ad is the footage itself, which to my eye has the uncanny glow of AI-generated video.

While viewer comments on YouTube and Instagram appear to be mostly positive, you may not be surprised to learn that the response on Bluesky has been far more critical. Posters declared the commercial “cringey” and “stunningly tone deaf,” and the AI angle was the biggest target — even as many users, including historian Angus Johnston, noted that it’s “amazing how little of this is actually AI.”

“Even in a corny fantasy joke, it’s impossible to make the case that AI is a useful tool for political organizing, writing, or human collaboration,” Johnston said.


[embed]https://www.youtube.com/watch?v=Q3RjZY-rSsc[/embed]

When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.#Google #commercial #imagines #Declaration #Independence #written #TechCrunchgemini,Google
Tech-news

a new commercial from Google asks: What if the Founding Fathers had access to Google Workspace?

With the tagline “Group project, but make it 1776,” the ad depicts a largely unseen Thomas Jefferson mid-draft when he gets a nagging text from Ben Franklin, leading to a very Google-centric collaboration process. Edits are suggested in Google Docs, a meeting gets scheduled in Google Calendar and conducted remotely via Google Meet (with every single attendee apparently turning their camera off?), then the whole thing is finalized with e-signatures; cue the fireworks.

Of course, since this is an ad from a tech company in the year 2026, AI has a role to play. The fictionalized founders use Google’s “help me visualize” AI tool to try out different animals on the national seal, Gemini takes notes on the meeting, and the founders also ask the chatbot for advice before declining King George III’s document access request.

The whole thing is very tongue-in-cheek (at one point, Sam Adams asks, “Can we settle this over beers?”), and the AI evangelism is relatively discreet when compared to many other recent ads. And unlike that infamous Google commercial in which a father uses Gemini to write a fan letter for his daughter, this one shies away from any suggestion that the actual text of the Declaration of Independence would be improved with AI. Perhaps the most AI-forward element of the ad is the footage itself, which to my eye has the uncanny glow of AI-generated video.

While viewer comments on YouTube and Instagram appear to be mostly positive, you may not be surprised to learn that the response on Bluesky has been far more critical. Posters declared the commercial “cringey” and “stunningly tone deaf,” and the AI angle was the biggest target — even as many users, including historian Angus Johnston, noted that it’s “amazing how little of this is actually AI.”

“Even in a corny fantasy joke, it’s impossible to make the case that AI is a useful tool for political organizing, writing, or human collaboration,” Johnston said.

[embed]https://www.youtube.com/watch?v=Q3RjZY-rSsc[/embed]

When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.

#Google #commercial #imagines #Declaration #Independence #written #TechCrunchgemini,Google">New Google commercial imagines a Declaration of Independence written with help from AI | TechCrunch

Two hundred and fifty years after the signing of the Declaration of Independence, a new commercial from Google asks: What if the Founding Fathers had access to Google Workspace?

With the tagline “Group project, but make it 1776,” the ad depicts a largely unseen Thomas Jefferson mid-draft when he gets a nagging text from Ben Franklin, leading to a very Google-centric collaboration process. Edits are suggested in Google Docs, a meeting gets scheduled in Google Calendar and conducted remotely via Google Meet (with every single attendee apparently turning their camera off?), then the whole thing is finalized with e-signatures; cue the fireworks.

Of course, since this is an ad from a tech company in the year 2026, AI has a role to play. The fictionalized founders use Google’s “help me visualize” AI tool to try out different animals on the national seal, Gemini takes notes on the meeting, and the founders also ask the chatbot for advice before declining King George III’s document access request.

The whole thing is very tongue-in-cheek (at one point, Sam Adams asks, “Can we settle this over beers?”), and the AI evangelism is relatively discreet when compared to many other recent ads. And unlike that infamous Google commercial in which a father uses Gemini to write a fan letter for his daughter, this one shies away from any suggestion that the actual text of the Declaration of Independence would be improved with AI. Perhaps the most AI-forward element of the ad is the footage itself, which to my eye has the uncanny glow of AI-generated video.

While viewer comments on YouTube and Instagram appear to be mostly positive, you may not be surprised to learn that the response on Bluesky has been far more critical. Posters declared the commercial “cringey” and “stunningly tone deaf,” and the AI angle was the biggest target — even as many users, including historian Angus Johnston, noted that it’s “amazing how little of this is actually AI.”

“Even in a corny fantasy joke, it’s impossible to make the case that AI is a useful tool for political organizing, writing, or human collaboration,” Johnston said.

[embed]https://www.youtube.com/watch?v=Q3RjZY-rSsc[/embed]

When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.

#Google #commercial #imagines #Declaration #Independence #written #TechCrunchgemini,Google

Two hundred and fifty years after the signing of the Declaration of Independence, a new…

new models powering the conversational experiences drove more demand, alongside the new features like a voice chat interface.

For instance, ChatGPT and Gemini each added tens of millions of new downloads after releasing their respective image models, Appfigures found.

For Google’s Gemini, the release of its image model Nano Banana drove an additional 22+ million downloads in the 28 days following the introduction of the Gemini 2.5 Flash image model last August. This launch lifted the app’s downloads by more than 4x over that period, the data showed.

Image AI models now drive app growth, beating chatbot upgrades | TechCrunch
Image model releases are driving growth for AI mobile apps, generating 6.5x more downloads than traditional model updates, according to a new report from app intelligence provider Appfigures.

This marks a shift from earlier days, when the release of new models powering the conversational experiences drove more demand, alongside the new features like a voice chat interface.







For instance, ChatGPT and Gemini each added tens of millions of new downloads after releasing their respective image models, Appfigures found.

For Google’s Gemini, the release of its image model Nano Banana drove an additional 22+ million downloads in the 28 days following the introduction of the Gemini 2.5 Flash image model last August. This launch lifted the app’s downloads by more than 4x over that period, the data showed.

Image Credits:Appfigures

Meanwhile, ChatGPT added more than 12 million incremental installs in the 28 days after the introduction of its GPT-4o image model in March of last year. That’s roughly 4.5x more downloads than it saw for its GPT-4o, GPT-4.5, and GPT-5 model releases, Appfigures pointed out.

Other model releases followed similar trends, though on a smaller scale. Meta AI’s introduction of its AI video feed Vibes added an estimated 2.6 million incremental downloads in the 28 days after its September 2025 release. (Yes, technically, this is a video model, but it’s ultimately about visual content, not just text.)

Image Credits:Appfigures

Still, the report cautioned, additional downloads don’t always translate into increased mobile revenue.

	
		
		Techcrunch event
		
			
			
									San Francisco, CA
													|
													October 13-15, 2026
							
			
		
	


Instead, new image model releases give people a reason to install the app and try out its improved image-generation capabilities. That doesn’t mean they’ll necessarily convert to paying subscribers. For example, Appfigures noted that Nano Banana drove only 1,000 in estimated gross consumer spending during the 28-day window following its release, even though it produced a larger spike in downloads than ChatGPT’s 4o image model release.

Meta AI’s launch of Vibes also led to additional downloads, but no meaningful revenue.

Among the three, only ChatGPT turned the increased attention into actual dollars. 







OpenAI’s 4o image-generation model led to an estimated  million in gross consumer spending over the 28 days after its launch, compared with its prior baseline, Appfigures said.

Image Credits:Appfigures

The company also looked at DeepSeek in its analysis, but it didn’t fit the pattern. 

While DeepSeek R1 drove 28 million downloads after its January 2025 release, it wasn’t a typical model comparison event. This was DeepSeek’s breakout moment, when it went from being relatively unknown to an overnight sensation as the tech industry learned about the techniques it used to train its AI models at a fraction of the cost of its competitors. This case highlights how curiosity can drive downloads — though in this instance, the interest wasn’t tied to an image model.
When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.#Image #models #drive #app #growth #beating #chatbot #upgrades #TechCrunchai apps,ChatGPT,gemini,image models,meta ai
Image Credits:Appfigures

Meanwhile, ChatGPT added more than 12 million incremental installs in the 28 days after the introduction of its GPT-4o image model in March of last year. That’s roughly 4.5x more downloads than it saw for its GPT-4o, GPT-4.5, and GPT-5 model releases, Appfigures pointed out.

Other model releases followed similar trends, though on a smaller scale. Meta AI’s introduction of its AI video feed Vibes added an estimated 2.6 million incremental downloads in the 28 days after its September 2025 release. (Yes, technically, this is a video model, but it’s ultimately about visual content, not just text.)

Image Credits:Appfigures

Still, the report cautioned, additional downloads don’t always translate into increased mobile revenue.

Techcrunch event

San Francisco, CA | October 13-15, 2026

Instead, new image model releases give people a reason to install the app and try out its improved image-generation capabilities. That doesn’t mean they’ll necessarily convert to paying subscribers. For example, Appfigures noted that Nano Banana drove only $181,000 in estimated gross consumer spending during the 28-day window following its release, even though it produced a larger spike in downloads than ChatGPT’s 4o image model release.

Meta AI’s launch of Vibes also led to additional downloads, but no meaningful revenue.

Among the three, only ChatGPT turned the increased attention into actual dollars.

OpenAI’s 4o image-generation model led to an estimated $70 million in gross consumer spending over the 28 days after its launch, compared with its prior baseline, Appfigures said.

Image Credits:Appfigures

The company also looked at DeepSeek in its analysis, but it didn’t fit the pattern.

While DeepSeek R1 drove 28 million downloads after its January 2025 release, it wasn’t a typical model comparison event. This was DeepSeek’s breakout moment, when it went from being relatively unknown to an overnight sensation as the tech industry learned about the techniques it used to train its AI models at a fraction of the cost of its competitors. This case highlights how curiosity can drive downloads — though in this instance, the interest wasn’t tied to an image model.

When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.

#Image #models #drive #app #growth #beating #chatbot #upgrades #TechCrunchai apps,ChatGPT,gemini,image models,meta ai"> Image AI models now drive app growth, beating chatbot upgrades | TechCrunch
Image model releases are driving growth for AI mobile apps, generating 6.5x more downloads than traditional model updates, according to a new report from app intelligence provider Appfigures.

This marks a shift from earlier days, when the release of new models powering the conversational experiences drove more demand, alongside the new features like a voice chat interface.







For instance, ChatGPT and Gemini each added tens of millions of new downloads after releasing their respective image models, Appfigures found.

For Google’s Gemini, the release of its image model Nano Banana drove an additional 22+ million downloads in the 28 days following the introduction of the Gemini 2.5 Flash image model last August. This launch lifted the app’s downloads by more than 4x over that period, the data showed.

Image Credits:Appfigures

Meanwhile, ChatGPT added more than 12 million incremental installs in the 28 days after the introduction of its GPT-4o image model in March of last year. That’s roughly 4.5x more downloads than it saw for its GPT-4o, GPT-4.5, and GPT-5 model releases, Appfigures pointed out.

Other model releases followed similar trends, though on a smaller scale. Meta AI’s introduction of its AI video feed Vibes added an estimated 2.6 million incremental downloads in the 28 days after its September 2025 release. (Yes, technically, this is a video model, but it’s ultimately about visual content, not just text.)

Image Credits:Appfigures

Still, the report cautioned, additional downloads don’t always translate into increased mobile revenue.

	
		
		Techcrunch event
		
			
			
									San Francisco, CA
													|
													October 13-15, 2026
							
			
		
	


Instead, new image model releases give people a reason to install the app and try out its improved image-generation capabilities. That doesn’t mean they’ll necessarily convert to paying subscribers. For example, Appfigures noted that Nano Banana drove only 1,000 in estimated gross consumer spending during the 28-day window following its release, even though it produced a larger spike in downloads than ChatGPT’s 4o image model release.

Meta AI’s launch of Vibes also led to additional downloads, but no meaningful revenue.

Among the three, only ChatGPT turned the increased attention into actual dollars. 







OpenAI’s 4o image-generation model led to an estimated  million in gross consumer spending over the 28 days after its launch, compared with its prior baseline, Appfigures said.

Image Credits:Appfigures

The company also looked at DeepSeek in its analysis, but it didn’t fit the pattern. 

While DeepSeek R1 drove 28 million downloads after its January 2025 release, it wasn’t a typical model comparison event. This was DeepSeek’s breakout moment, when it went from being relatively unknown to an overnight sensation as the tech industry learned about the techniques it used to train its AI models at a fraction of the cost of its competitors. This case highlights how curiosity can drive downloads — though in this instance, the interest wasn’t tied to an image model.
When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.#Image #models #drive #app #growth #beating #chatbot #upgrades #TechCrunchai apps,ChatGPT,gemini,image models,meta ai
Tech-news

new models powering the conversational experiences drove more demand, alongside the new features like a voice chat interface.

For instance, ChatGPT and Gemini each added tens of millions of new downloads after releasing their respective image models, Appfigures found.

For Google’s Gemini, the release of its image model Nano Banana drove an additional 22+ million downloads in the 28 days following the introduction of the Gemini 2.5 Flash image model last August. This launch lifted the app’s downloads by more than 4x over that period, the data showed.

Image AI models now drive app growth, beating chatbot upgrades | TechCrunch
Image model releases are driving growth for AI mobile apps, generating 6.5x more downloads than traditional model updates, according to a new report from app intelligence provider Appfigures.

This marks a shift from earlier days, when the release of new models powering the conversational experiences drove more demand, alongside the new features like a voice chat interface.







For instance, ChatGPT and Gemini each added tens of millions of new downloads after releasing their respective image models, Appfigures found.

For Google’s Gemini, the release of its image model Nano Banana drove an additional 22+ million downloads in the 28 days following the introduction of the Gemini 2.5 Flash image model last August. This launch lifted the app’s downloads by more than 4x over that period, the data showed.

Image Credits:Appfigures

Meanwhile, ChatGPT added more than 12 million incremental installs in the 28 days after the introduction of its GPT-4o image model in March of last year. That’s roughly 4.5x more downloads than it saw for its GPT-4o, GPT-4.5, and GPT-5 model releases, Appfigures pointed out.

Other model releases followed similar trends, though on a smaller scale. Meta AI’s introduction of its AI video feed Vibes added an estimated 2.6 million incremental downloads in the 28 days after its September 2025 release. (Yes, technically, this is a video model, but it’s ultimately about visual content, not just text.)

Image Credits:Appfigures

Still, the report cautioned, additional downloads don’t always translate into increased mobile revenue.

	
		
		Techcrunch event
		
			
			
									San Francisco, CA
													|
													October 13-15, 2026
							
			
		
	


Instead, new image model releases give people a reason to install the app and try out its improved image-generation capabilities. That doesn’t mean they’ll necessarily convert to paying subscribers. For example, Appfigures noted that Nano Banana drove only 1,000 in estimated gross consumer spending during the 28-day window following its release, even though it produced a larger spike in downloads than ChatGPT’s 4o image model release.

Meta AI’s launch of Vibes also led to additional downloads, but no meaningful revenue.

Among the three, only ChatGPT turned the increased attention into actual dollars. 







OpenAI’s 4o image-generation model led to an estimated  million in gross consumer spending over the 28 days after its launch, compared with its prior baseline, Appfigures said.

Image Credits:Appfigures

The company also looked at DeepSeek in its analysis, but it didn’t fit the pattern. 

While DeepSeek R1 drove 28 million downloads after its January 2025 release, it wasn’t a typical model comparison event. This was DeepSeek’s breakout moment, when it went from being relatively unknown to an overnight sensation as the tech industry learned about the techniques it used to train its AI models at a fraction of the cost of its competitors. This case highlights how curiosity can drive downloads — though in this instance, the interest wasn’t tied to an image model.
When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.#Image #models #drive #app #growth #beating #chatbot #upgrades #TechCrunchai apps,ChatGPT,gemini,image models,meta ai
Image Credits:Appfigures

Meanwhile, ChatGPT added more than 12 million incremental installs in the 28 days after the introduction of its GPT-4o image model in March of last year. That’s roughly 4.5x more downloads than it saw for its GPT-4o, GPT-4.5, and GPT-5 model releases, Appfigures pointed out.

Other model releases followed similar trends, though on a smaller scale. Meta AI’s introduction of its AI video feed Vibes added an estimated 2.6 million incremental downloads in the 28 days after its September 2025 release. (Yes, technically, this is a video model, but it’s ultimately about visual content, not just text.)

Image Credits:Appfigures

Still, the report cautioned, additional downloads don’t always translate into increased mobile revenue.

Techcrunch event

San Francisco, CA | October 13-15, 2026

Instead, new image model releases give people a reason to install the app and try out its improved image-generation capabilities. That doesn’t mean they’ll necessarily convert to paying subscribers. For example, Appfigures noted that Nano Banana drove only $181,000 in estimated gross consumer spending during the 28-day window following its release, even though it produced a larger spike in downloads than ChatGPT’s 4o image model release.

Meta AI’s launch of Vibes also led to additional downloads, but no meaningful revenue.

Among the three, only ChatGPT turned the increased attention into actual dollars.

OpenAI’s 4o image-generation model led to an estimated $70 million in gross consumer spending over the 28 days after its launch, compared with its prior baseline, Appfigures said.

Image Credits:Appfigures

The company also looked at DeepSeek in its analysis, but it didn’t fit the pattern.

While DeepSeek R1 drove 28 million downloads after its January 2025 release, it wasn’t a typical model comparison event. This was DeepSeek’s breakout moment, when it went from being relatively unknown to an overnight sensation as the tech industry learned about the techniques it used to train its AI models at a fraction of the cost of its competitors. This case highlights how curiosity can drive downloads — though in this instance, the interest wasn’t tied to an image model.

When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.

#Image #models #drive #app #growth #beating #chatbot #upgrades #TechCrunchai apps,ChatGPT,gemini,image models,meta ai">Image AI models now drive app growth, beating chatbot upgrades | TechCrunch


Image model releases are driving growth for AI mobile apps, generating 6.5x more downloads than traditional model updates, according to a new report from app intelligence provider Appfigures.

This marks a shift from earlier days, when the release of new models powering the conversational experiences drove more demand, alongside the new features like a voice chat interface.

For instance, ChatGPT and Gemini each added tens of millions of new downloads after releasing their respective image models, Appfigures found.

For Google’s Gemini, the release of its image model Nano Banana drove an additional 22+ million downloads in the 28 days following the introduction of the Gemini 2.5 Flash image model last August. This launch lifted the app’s downloads by more than 4x over that period, the data showed.

Image AI models now drive app growth, beating chatbot upgrades | TechCrunch
Image model releases are driving growth for AI mobile apps, generating 6.5x more downloads than traditional model updates, according to a new report from app intelligence provider Appfigures.

This marks a shift from earlier days, when the release of new models powering the conversational experiences drove more demand, alongside the new features like a voice chat interface.







For instance, ChatGPT and Gemini each added tens of millions of new downloads after releasing their respective image models, Appfigures found.

For Google’s Gemini, the release of its image model Nano Banana drove an additional 22+ million downloads in the 28 days following the introduction of the Gemini 2.5 Flash image model last August. This launch lifted the app’s downloads by more than 4x over that period, the data showed.

Image Credits:Appfigures

Meanwhile, ChatGPT added more than 12 million incremental installs in the 28 days after the introduction of its GPT-4o image model in March of last year. That’s roughly 4.5x more downloads than it saw for its GPT-4o, GPT-4.5, and GPT-5 model releases, Appfigures pointed out.

Other model releases followed similar trends, though on a smaller scale. Meta AI’s introduction of its AI video feed Vibes added an estimated 2.6 million incremental downloads in the 28 days after its September 2025 release. (Yes, technically, this is a video model, but it’s ultimately about visual content, not just text.)

Image Credits:Appfigures

Still, the report cautioned, additional downloads don’t always translate into increased mobile revenue.

	
		
		Techcrunch event
		
			
			
									San Francisco, CA
													|
													October 13-15, 2026
							
			
		
	


Instead, new image model releases give people a reason to install the app and try out its improved image-generation capabilities. That doesn’t mean they’ll necessarily convert to paying subscribers. For example, Appfigures noted that Nano Banana drove only 1,000 in estimated gross consumer spending during the 28-day window following its release, even though it produced a larger spike in downloads than ChatGPT’s 4o image model release.

Meta AI’s launch of Vibes also led to additional downloads, but no meaningful revenue.

Among the three, only ChatGPT turned the increased attention into actual dollars. 







OpenAI’s 4o image-generation model led to an estimated  million in gross consumer spending over the 28 days after its launch, compared with its prior baseline, Appfigures said.

Image Credits:Appfigures

The company also looked at DeepSeek in its analysis, but it didn’t fit the pattern. 

While DeepSeek R1 drove 28 million downloads after its January 2025 release, it wasn’t a typical model comparison event. This was DeepSeek’s breakout moment, when it went from being relatively unknown to an overnight sensation as the tech industry learned about the techniques it used to train its AI models at a fraction of the cost of its competitors. This case highlights how curiosity can drive downloads — though in this instance, the interest wasn’t tied to an image model.
When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.#Image #models #drive #app #growth #beating #chatbot #upgrades #TechCrunchai apps,ChatGPT,gemini,image models,meta ai
Image Credits:Appfigures

Meanwhile, ChatGPT added more than 12 million incremental installs in the 28 days after the introduction of its GPT-4o image model in March of last year. That’s roughly 4.5x more downloads than it saw for its GPT-4o, GPT-4.5, and GPT-5 model releases, Appfigures pointed out.

Other model releases followed similar trends, though on a smaller scale. Meta AI’s introduction of its AI video feed Vibes added an estimated 2.6 million incremental downloads in the 28 days after its September 2025 release. (Yes, technically, this is a video model, but it’s ultimately about visual content, not just text.)

Image Credits:Appfigures

Still, the report cautioned, additional downloads don’t always translate into increased mobile revenue.

Techcrunch event

San Francisco, CA | October 13-15, 2026

Instead, new image model releases give people a reason to install the app and try out its improved image-generation capabilities. That doesn’t mean they’ll necessarily convert to paying subscribers. For example, Appfigures noted that Nano Banana drove only $181,000 in estimated gross consumer spending during the 28-day window following its release, even though it produced a larger spike in downloads than ChatGPT’s 4o image model release.

Meta AI’s launch of Vibes also led to additional downloads, but no meaningful revenue.

Among the three, only ChatGPT turned the increased attention into actual dollars.

OpenAI’s 4o image-generation model led to an estimated $70 million in gross consumer spending over the 28 days after its launch, compared with its prior baseline, Appfigures said.

Image Credits:Appfigures

The company also looked at DeepSeek in its analysis, but it didn’t fit the pattern.

While DeepSeek R1 drove 28 million downloads after its January 2025 release, it wasn’t a typical model comparison event. This was DeepSeek’s breakout moment, when it went from being relatively unknown to an overnight sensation as the tech industry learned about the techniques it used to train its AI models at a fraction of the cost of its competitors. This case highlights how curiosity can drive downloads — though in this instance, the interest wasn’t tied to an image model.

When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.

#Image #models #drive #app #growth #beating #chatbot #upgrades #TechCrunchai apps,ChatGPT,gemini,image models,meta ai

Image model releases are driving growth for AI mobile apps, generating 6.5x more downloads than…