A Google Search exec said that one of the company’s biggest opportunities in AI lies in its ability to get to know the user better and personalize its responses.

The promise is AI that’s uniquely helpful because it knows you. But the risk is AI that feels more like surveillance than service.

In a recent episode of the Limitless podcast, Robby Stein, VP of Product for Google Search, explained that Google’s AI tends to field more queries that are advice-seeking or those where the user is looking for recommendations — and these types of questions are more likely to benefit from more subjective responses.

“We think there’s a huge opportunity for our AI to know you better and then be uniquely helpful because of that knowledge,” Stein said in the interview. “And one of the things we talked about at Google’s developer conference I/O was how the AI can get a better understanding of you through connected services like Gmail.”

Google has been integrating AI into its apps for some time, starting back when Gemini was still known as Bard. More recently, it began pulling personal data into another AI product, Gemini Deep Research. And Gemini is now infused into Google Workspace apps like Gmail, Calendar and Drive.

But as Google integrates more personal data into its AI — spanning your emails, documents, photos, location history, and browsing behavior — the line between a helpful assistant and an intrusive one becomes increasingly blurred. And unlike opt-in services, avoiding Google’s data collection may become harder as AI becomes central to its products.

Google’s pitch is that this deep personalization makes the AI far more useful. The idea is that Google’s AI technology could learn from the user’s interactions across Google’s various services, then use that understanding to make more personalized recommendations. For instance, if it learned that a user likes particular products or brands, the AI responses might favor those in its recommendations.

That, Stein said, would be “much more useful” than just showing users a more generic list of the best-selling products in a given category. “That is, I think, very much the vision — of building something that can be really knowledgeable for you, specifically.”

This idea isn’t all that different from how the “Others” in the hit Apple TV show “Pluribus” have gobbled up the world’s knowledge, including intimate details about individuals. When the system interacts with the show’s protagonist, Carol, it uses that data to personalize everything: cooking her favorite meals, adopting a familiar face to handle its communications with her, and otherwise anticipating her needs.

But Carol doesn’t find the personalized responses kind; she finds them invasive. She never consented to sharing her data with the hivemind, yet it knows her better than she’d like.

Similarly, it seems that avoiding Google’s data-gobbling ways will get increasingly difficult in the AI era, and if Google doesn’t get the balance right, the results could feel more creepy than useful.

(To be clear: Google does let you control the apps Gemini uses to make its AI more knowledgeable about you specifically — it’s under “Connected Apps” in Gemini’s settings.)

If you do share app data with Gemini, Google says it will save and use that data according to the Gemini privacy policy. And that policy reminds users that human reviewers may read some of their data and not to “enter confidential information that you wouldn’t want a reviewer to see or Google to use to improve its services.”

But as more data gets ingested into Google’s own hivemind, it’s easy to see how AI could make data privacy more of a gray area.

Google, however, believes it has a solution of sorts.

Stein says that Google will indicate when its AI responses are personalized.

“I think people want to intuitively understand when they’re being personalized — when information is made for them, versus when [it’s] something that everyone would see if they were to ask this question,” he said.

Stein noted, too, that Google could send a push notification to users when a product they had been considering after several days of online research becomes available or is on sale.

“There are all these ways that Google now, across modes, across kind of different aspects of your life, [is] being incredibly helpful to you…” he said. “And I think that’s more of how I think of the future of search than any one specific feature or single form factor.”

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While Google plans to indicate personalized responses, the increasing reliance on user data could make privacy a significant challenge.","bullets",[206,207,208,209,210,211],"Google sees personalization as a key opportunity for its AI to be uniquely helpful.","The company is integrating AI into apps like Gmail, Calendar, and Drive, using data from connected services.","Personal data, including emails, documents, and browsing history, is being used to tailor AI responses.","Concerns exist that increased data collection could lead to AI feeling like surveillance rather than service.","Google plans to indicate when AI responses are personalized to users.","The company may send notifications for products users have researched that are now on sale.","persons",[214],"Robby Stein","places",[],"words",491,"sentiment",0.5,"neutral","subject","meta",{"_225":226,"_227":228,"_252":234},"type","bee:get-index-of-articles","schedule",{"_14":229,"_36":-5,"_230":231,"_62":-5,"_144":232,"_233":234,"_65":66,"_222":27,"_235":-5,"_236":66,"_186":187,"_237":238,"_39":238,"_239":240,"_241":68,"_242":243,"_41":238,"_244":68,"_64":245,"_246":247,"_248":249,"_250":-5,"_251":-5},"6730bc49-70a5-4fe7-88a2-0c9cc7a575b0","npub","npub1y2sh85zz4ngtwkj9hqrc0lshw8wtu9cu3y6vkdp677epnpj4jh2s2ep9xl",1,"rssUrl","https://techcrunch.com/category/artificial-intelligence/","userRef","autosign","syncedAt","2025-12-03T12:32:19.596Z","frequency","hourly","isOwnBlog","nextRunAt","2025-12-03T13:06:09.923Z","autopublish","mainstream","sourceVariant","rss","scheduleVariant","scraping-bee-classic-proxy","retryArticlesIds","ownershipConfirmedAt","dataSourceUrl","eventId","84142fef4ee789c96cfc3a90cf051b3b514869a17b24662f2b9ef4789fbbbb9c","nostrRootEvent","event",{"_14":254,"_258":259,"_260":232,"_62":261,"_274":273,"_178":275,"_276":277},"sig","e19e750d41ad474343257231e50a9242201e453e4b2577accbd0c8ae92bb4e64c094ff96eb55252e3f3bcb53d7bc93f27a6f84aac2c5665a3c49b6e71c61e69e","kind",[262,263,264,268,271],[222,167],[30,171],[265,266,25,267],"a","30023:22a173d042acd0b75a45b80787fe1771dcbe171c8934cb343af7b219865595d5:03a2caba-1145-46f4-8c80-0811c5979954","mention",[269,270],"client","Layer3.press",[272,273,25],"p","22a173d042acd0b75a45b80787fe1771dcbe171c8934cb343af7b219865595d5","pubkey","One of Google's biggest AI advantages is what it already knows about you\nThe promise is AI that's uniquely helpful because it knows you. But the risk is AI that feels more like surveillance than service.\n\n\nnostr:naddr1qvzqqqr4gupzqg4pw0gy9txskadytwq8sllpwuwuhct3ezf5ev6r4aajrxr9t9w4qqjrqvmpxf3kzcnp95cnzdp4956rve3595uxxwps95crsvf3vv6njdee8y6ngwdsz28 ","created_at",1764767230,"authorNPub","markdown","A Google Search exec said that one of the company’s biggest opportunities in AI lies in its ability to get to know the user better and personalize its responses.\n\nThe promise is AI that’s uniquely helpful because it knows you. But the risk is AI that feels more like surveillance than service.\n\nIn a recent [episode](https://www.youtube.com/watch?v=2SwNPqsOXkk) of the Limitless podcast, Robby Stein, VP of Product for Google Search, explained that Google’s AI tends to field more queries that are advice-seeking or those where the user is looking for recommendations — and these types of questions are more likely to benefit from more subjective responses.\n\n“We think there’s a huge opportunity for our AI to know you better and then be uniquely helpful because of that knowledge,” Stein said in the interview. “And one of the things we talked about at [Google’s developer conference](https://techcrunch.com/2025/05/01/google-io-2025-ai-search-and-more/) I/O was how the AI can get a better understanding of you through connected services like Gmail.”\n\nGoogle has been integrating AI into its apps for some time, starting back when [Gemini](https://techcrunch.com/2025/02/26/what-is-google-gemini-ai/) was still known as [Bard](https://techcrunch.com/2023/09/19/googles-bard-chatbot-can-now-tap-into-your-google-apps-double-check-answers-and-more/). More recently, it [began pulling personal data](https://blog.google/products/gemini/deep-research-workspace-app-integration/) into another AI product, Gemini Deep Research. And Gemini is now infused into Google Workspace apps like [Gmail](https://techcrunch.com/2025/05/30/gemini-will-now-automatically-summarize-your-long-emails-unless-you-opt-out/), [Calendar](https://techcrunch.com/2025/10/14/googles-gemini-can-now-help-you-schedule-google-calendar-meetings/) and Drive.\n\nBut as Google integrates more [personal data](https://techcrunch.com/2023/09/19/googles-bard-chatbot-can-now-tap-into-your-google-apps-double-check-answers-and-more/) into its AI — spanning your emails, documents, photos, [location history](https://techcrunch.com/2025/11/05/google-maps-bakes-in-gemini-to-improve-navigation-and-hands-free-use/), and browsing behavior — the line between a helpful assistant and an intrusive one becomes increasingly blurred. And unlike opt-in services, avoiding Google’s data collection may become harder as AI becomes central to its products.\n\nGoogle’s pitch is that this deep personalization makes the AI far more useful. The idea is that Google’s AI technology could learn from the user’s interactions across Google’s various services, then use that understanding to make more personalized recommendations. For instance, if it learned that a user likes particular products or brands, the AI responses might favor those in its recommendations.\n\nThat, Stein said, would be “much more useful” than just showing users a more generic list of the best-selling products in a given category. “That is, I think, very much the vision — of building something that can be really knowledgeable for you, specifically.”\n\nThis idea isn’t all that different from how the “Others” in the hit Apple TV show “Pluribus” have gobbled up the world’s knowledge, including intimate details about individuals. When the system interacts with the show’s protagonist, Carol, it uses that data to personalize everything: cooking her favorite meals, adopting a familiar face to handle its communications with her, and otherwise anticipating her needs.\n\nBut Carol doesn’t find the personalized responses kind; she finds them invasive. She never consented to sharing her data with the hivemind, yet it knows her better than she’d like.\n\nSimilarly, it seems that avoiding Google’s data-gobbling ways will get increasingly difficult in the AI era, and if Google doesn’t get the balance right, the results could feel more creepy than useful.\n\n(To be clear: Google _does_ let you control the apps Gemini uses to make its AI more knowledgeable about you specifically — it’s under “Connected Apps” in Gemini’s [settings](https://gemini.google.com/apps).)\n\nIf you do share app data with Gemini, Google [says](https://support.google.com/gemini/answer/13594961?dark=1&sjid=17783156566859743275-NA&visit_id=639002230735023711-3962094755&ref_topic=15294201&rd=1#pn_connected_apps) it will save and use that data according to the [Gemini privacy policy](https://support.google.com/gemini/answer/13594961?dark=1&sjid=17783156566859743275-NA&visit_id=639002230735023711-3962094755&ref_topic=15294201&rd=1#pn_connected_apps). And that policy reminds users that human reviewers may read some of their data and not to “enter confidential information that you wouldn’t want a reviewer to see or Google to use to improve its services.”\n\nBut as more data gets ingested into Google’s own hivemind, it’s easy to see how AI could make data privacy more of a gray area.\n\nGoogle, however, believes it has a solution of sorts.\n\nStein says that Google will indicate when its AI responses are personalized.\n\n“I think people want to intuitively understand when they’re being personalized — when information is made for them, versus when \\[it’s\\] something that everyone would see if they were to ask this question,” he said.\n\nStein noted, too, that Google could send a push notification to users when a product they had been considering after several days of online research becomes available or is on sale.\n\n“There are all these ways that Google now, across modes, across kind of different aspects of your life, \\[is\\] being incredibly helpful to you…” he said. “And I think that’s more of how I think of the future of search than any one specific feature or single form factor.”","freeMarkdown","kind1EventId","kind30023EventId","32dfdb9aff5630549e42ae1e6615d433e7a492342320398b03ca80cbd24653be","kind30023",{"_14":284,"_258":287,"_260":288,"_62":289,"_274":273,"_178":303,"_276":277},"499d8491db001ea65710b3e9b0d7fd0e0ee0880c56db79fab1153f03167f5c944ddb0eccc3c708abede690200cacc7968d838559d052ac4cee8489e2a9607ed2",30023,[290,293,294,297,298,300,301,302],[291,292],"r","undefined/articles/03a2caba-1145-46f4-8c80-0811c5979954",[26,167],[295,296],"published_at","1764634620",[30,171],[299,162],"d",[202,168],[269,270],[272,273,25],"One of Google's biggest AI advantages is what it already knows about you\nGoogle's AI strategy involves understanding users better through connected services to offer more personalized and helpful responses. However, this deep integration of personal data raises concerns about surveillance and the blurring line between assistance and intrusion. While Google plans to indicate personalized responses, the increasing reliance on user data could make privacy a significant challenge.\n - Google sees personalization as a key opportunity for its AI to be uniquely helpful.\n - The company is integrating AI into apps like Gmail, Calendar, and Drive, using data from connected services.\n - Personal data, including emails, documents, and browsing history, is being used to tailor AI responses.\n - Concerns exist that increased data collection could lead to AI feeling like surveillance rather than service.\n - Google plans to indicate when AI responses are personalized to users.\n - The company may send notifications for products users have researched that are now on sale.\n","publishedToNostr","htmlContentKind30023","

A Google Search exec said that one of the company’s biggest opportunities in AI lies in its ability to get to know the user better and personalize its responses.

The promise is AI that’s uniquely helpful because it knows you. But the risk is AI that feels more like surveillance than service.

But Carol doesn’t find the personalized responses kind; she finds them invasive. She never consented to sharing her data with the hivemind, yet it knows her better than she’d like.

(To be clear: Google does let you control the apps Gemini uses to make its AI more knowledgeable about you specifically — it’s under “Connected Apps” in Gemini’s settings.)

But as more data gets ingested into Google’s own hivemind, it’s easy to see how AI could make data privacy more of a gray area.

Google, however, believes it has a solution of sorts.

Stein says that Google will indicate when its AI responses are personalized.

Stein noted, too, that Google could send a push notification to users when a product they had been considering after several days of online research becomes available or is on sale.

","pubDate","2025-12-02T00:17:00.000Z","modifiedAt","2025-12-03T13:07:10.567Z","2025-12-03T13:07:57.309Z","storyId","likes","reposts","comments","storyUpdatedAt","storyArticlesCount",{"_14":319,"_163":320,"_165":320,"_166":-5,"_26":321,"_28":322,"_147":-5,"_169":-5,"_170":323,"_172":-5,"_173":-5,"_174":-5,"_175":-5,"_176":-5,"_177":-5,"_178":324,"_180":325,"_182":-5,"_183":-5,"_184":185,"_186":187,"_188":-5,"_69":68,"_189":-5,"_190":-5,"_191":-5,"_192":114,"_193":-5,"_194":-5,"_195":114,"_196":197,"_198":-5,"_199":-5,"_200":326,"_202":327,"_204":328,"_212":335,"_215":339,"_217":342,"_219":343,"_64":221,"_222":155,"_223":344,"_62":-5,"_253":346,"_255":-5,"_256":347,"_278":-5,"_279":357,"_281":-5,"_282":346,"_283":358,"_285":359,"_304":66,"_305":373,"_307":374,"_309":-5,"_39":310,"_41":375,"_42":-5,"_312":-5,"_313":-5,"_314":-5,"_315":114,"_316":-5,"_317":-5},"00d6ebff-2b73-4145-b9ae-d8f781058c90","https://techcrunch.com/2025/11/28/how-openai-and-google-see-ai-changing-go-to-market-strategies/","How OpenAI and Google see AI changing go-to-market strategies","AI is changing how investors and startups bring their products to market. Three experts offered their insights at TechCrunch Disrupt.","https://techcrunch.com/wp-content/uploads/2025/11/gtm-disrupt-2025.jpeg?resize=1200,745","For years, when it was time for startups to start selling their product, they could turn to any number of traditional playbooks. But as with so many things, AI is changing how companies prepare to go to market.\n\n“You can do more with less than ever before,” Max Altschuler, general partner at GTMfund, told the audience at TechCrunch Disrupt last month.\n\nThe challenge for founders and operators, though, will be threading the needle. While there has been some chatter of startups hiring developers more versed and loosing them on typical GTM problems, he said, there’s still a need for more specific domain expertise.\n\n“When you have great advisors around, you can learn some of the tried-and-true playbooks. Those things haven’t gone out the window. I think it’s still necessary that you have a general understanding of how and why certain things work in marketing,” Altschuler said.\n\nAlison Wagonfeld, vice president of marketing at Google Cloud, said the craft of marketing is still very much required.\n\n“You certainly need the AI knowledge, the AI curiosity, the technologists, but also understanding what the purpose of marketing is, to understand customer insights, to do research, to see what great creative is like,” Wagonfeld said.\n\nTeams that adopt AI, though, can move more quickly. “You can just get out there with so many more messages faster, and then you can think more holistically about what metrics am I driving for,” she added.\n\nMarc Manara, head of startups at OpenAI, has found many startups have embraced AI in their GTM strategy, though it’s not necessarily with the sole focus of minimizing how many resources they put toward it.\n\n“There’s a movement of, yes, you can do more with less, but you can also be very focused with how you do it,” he said. “The degree of personalization and signal following that you can do with AI is differentiated now.”\n\nSpecifically, he said there are tools that help build leads that are much more sophisticated than in the past. Rather than just a simple query of a database, AI prompts can help startups find prospective customers that fit a very specific set of requirements.\n\nInbound marketing has changed, too, he added, by using the results of those prompts to qualify and score inbound leads “with a lot more precision could have been in the past.”\n\nWhen it comes time for a startup to begin crafting its go-to-market strategy, Wagonfeld said it’s important to consider what qualities it might want in a GTM team.\n\n“It’s a change in hiring perspective, where in the past it was more about hiring specialists, people who really knew, sometimes even like a sub-specialty within marketing or within sales. And now it’s hiring for a sense of curiosity and understanding,” she said. “It’s almost the top thing to hire for now.”","

For years, when it was time for startups to start selling their product, they could turn to any number of traditional playbooks. But as with so many things, AI is changing how companies prepare to go to market.

“You can do more with less than ever before,” Max Altschuler, general partner at GTMfund, told the audience at TechCrunch Disrupt last month.

The challenge for founders and operators, though, will be threading the needle. While there has been some chatter of startups hiring developers more versed and loosing them on typical GTM problems, he said, there’s still a need for more specific domain expertise.

“When you have great advisors around, you can learn some of the tried-and-true playbooks. Those things haven’t gone out the window. I think it’s still necessary that you have a general understanding of how and why certain things work in marketing,” Altschuler said.

Alison Wagonfeld, vice president of marketing at Google Cloud, said the craft of marketing is still very much required.

“You certainly need the AI knowledge, the AI curiosity, the technologists, but also understanding what the purpose of marketing is, to understand customer insights, to do research, to see what great creative is like,” Wagonfeld said.

Teams that adopt AI, though, can move more quickly. “You can just get out there with so many more messages faster, and then you can think more holistically about what metrics am I driving for,” she added.

Marc Manara, head of startups at OpenAI, has found many startups have embraced AI in their GTM strategy, though it’s not necessarily with the sole focus of minimizing how many resources they put toward it.

“There’s a movement of, yes, you can do more with less, but you can also be very focused with how you do it,” he said. “The degree of personalization and signal following that you can do with AI is differentiated now.”

Specifically, he said there are tools that help build leads that are much more sophisticated than in the past. Rather than just a simple query of a database, AI prompts can help startups find prospective customers that fit a very specific set of requirements.

Inbound marketing has changed, too, he added, by using the results of those prompts to qualify and score inbound leads “with a lot more precision could have been in the past.”

When it comes time for a startup to begin crafting its go-to-market strategy, Wagonfeld said it’s important to consider what qualities it might want in a GTM team.

“It’s a change in hiring perspective, where in the past it was more about hiring specialists, people who really knew, sometimes even like a sub-specialty within marketing or within sales. And now it’s hiring for a sense of curiosity and understanding,” she said. “It’s almost the top thing to hire for now.”

","AI is transforming startup go-to-market strategies, enabling more with less, but still requiring human expertise.","Artificial intelligence is fundamentally changing how startups approach their go-to-market strategies, allowing them to achieve more with fewer resources. While AI tools offer enhanced capabilities in lead generation and customer qualification, the need for human domain expertise and a general understanding of marketing principles remains crucial. The shift in hiring is also evident, with a growing emphasis on curiosity and understanding over narrow specializations.",[329,330,331,332,333,334],"AI enables startups to do more with less in their go-to-market strategies.","Specific domain expertise is still necessary alongside AI capabilities.","Marketing craft, customer insights, research, and creative understanding are still essential.","AI allows for faster messaging and more holistic metric tracking.","AI facilitates highly personalized lead generation and qualification.","Startups are hiring for curiosity and understanding, rather than just narrow specializations.",[336,337,338],"Max Altschuler","Alison Wagonfeld","Marc Manara",[340,341],"Google Cloud","TechCrunch Disrupt",337,1.5,{"_225":226,"_227":345,"_252":234},{"_14":229,"_36":-5,"_230":231,"_62":-5,"_144":232,"_233":234,"_65":66,"_222":27,"_235":-5,"_236":66,"_186":187,"_237":238,"_39":238,"_239":240,"_241":68,"_242":243,"_41":238,"_244":68,"_64":245,"_246":247,"_248":249,"_250":-5,"_251":-5},"1061b93e17a42ead4ca717139fbafdc83636eb3d0223a6b1e2d6f336e95fadb0",{"_14":346,"_258":348,"_260":232,"_62":349,"_274":273,"_178":356,"_276":277},"db534888f57b92fd3f68680992194880ad76c863fd9670b2ddde6df8be91183f3a416f0e4b76ad49fb05cacef54054d5795f8962794fbb2f58e4632cba02a808",[350,351,352,354,355],[222,321],[30,323],[265,353,25,267],"30023:22a173d042acd0b75a45b80787fe1771dcbe171c8934cb343af7b219865595d5:00d6ebff-2b73-4145-b9ae-d8f781058c90",[269,270],[272,273,25],"How OpenAI and Google see AI changing go-to-market strategies\nAI is changing how investors and startups bring their products to market. Three experts offered their insights at TechCrunch Disrupt.\n\n\nnostr:naddr1qvzqqqr4gupzqg4pw0gy9txskadytwq8sllpwuwuhct3ezf5ev6r4aajrxr9t9w4qqjrqvryxejkyenx95exyden956rzdp4943rjct994jrse3h8qcnqdfcvvunq6dsrq4 ","For years, when it was time for startups to start selling their product, they could turn to any number of traditional playbooks. But as with so many things, AI is changing how companies prepare to go to market.\n\n“You can do more with less than ever before,” [Max](https://www.linkedin.com/in/maxaltschuler/) [Altschuler](https://www.linkedin.com/in/maxaltschuler/), general partner at GTMfund, told the audience at [TechCrunch Disrupt](https://techcrunch.com/events/tc-disrupt-2025/) last month.\n\nThe challenge for founders and operators, though, will be threading the needle. While there has been some chatter of startups hiring developers more versed and loosing them on typical GTM problems, he said, there’s still a need for more specific domain expertise.\n\n“When you have great advisors around, you can learn some of the tried-and-true playbooks. Those things haven’t gone out the window. I think it’s still necessary that you have a general understanding of how and why certain things work in marketing,” Altschuler said.\n\n[Alison Wagonfeld](https://www.linkedin.com/in/alisonwagonfeld/), vice president of marketing at Google Cloud, said the craft of marketing is still very much required.\n\n“You certainly need the AI knowledge, the AI curiosity, the technologists, but also understanding what the purpose of marketing is, to understand customer insights, to do research, to see what great creative is like,” Wagonfeld said.\n\nTeams that adopt AI, though, can move more quickly. “You can just get out there with so many more messages faster, and then you can think more holistically about what metrics am I driving for,” she added.\n\n[Marc Manara](https://www.linkedin.com/in/marcmanara/), head of startups at OpenAI, has found many startups have embraced AI in their GTM strategy, though it’s not necessarily with the sole focus of minimizing how many resources they put toward it.\n\n“There’s a movement of, yes, you can do more with less, but you can also be very focused with how you do it,” he said. “The degree of personalization and signal following that you can do with AI is differentiated now.”\n\nSpecifically, he said there are tools that help build leads that are much more sophisticated than in the past. Rather than just a simple query of a database, AI prompts can help startups find prospective customers that fit a very specific set of requirements.\n\nInbound marketing has changed, too, he added, by using the results of those prompts to qualify and score inbound leads “with a lot more precision could have been in the past.”\n\nWhen it comes time for a startup to begin crafting its go-to-market strategy, Wagonfeld said it’s important to consider what qualities it might want in a GTM team.\n\n“It’s a change in hiring perspective, where in the past it was more about hiring specialists, people who really knew, sometimes even like a sub-specialty within marketing or within sales. And now it’s hiring for a sense of curiosity and understanding,” she said. “It’s almost the top thing to hire for now.”","d83c921d85162c02b693e703ad873530c2ce0f16f0e9f601b302c19d25c2c2af",{"_14":358,"_258":360,"_260":288,"_62":361,"_274":273,"_178":372,"_276":277},"bac1e627d7f9f36502ef01b514c8080cd56e0a65eebc08e60a3ef18206ce9ed65031f2f5ec50db33defb60ac342fe0a2ccde6c4bc793dd68d39f938fce408d35",[362,364,365,367,368,369,370,371],[291,363],"undefined/articles/00d6ebff-2b73-4145-b9ae-d8f781058c90",[26,321],[295,366],"1764345600",[30,323],[299,319],[202,322],[269,270],[272,273,25],"How OpenAI and Google see AI changing go-to-market strategies\nArtificial intelligence is fundamentally changing how startups approach their go-to-market strategies, allowing them to achieve more with fewer resources. While AI tools offer enhanced capabilities in lead generation and customer qualification, the need for human domain expertise and a general understanding of marketing principles remains crucial. The shift in hiring is also evident, with a growing emphasis on curiosity and understanding over narrow specializations.\n - AI enables startups to do more with less in their go-to-market strategies.\n - Specific domain expertise is still necessary alongside AI capabilities.\n - Marketing craft, customer insights, research, and creative understanding are still essential.\n - AI allows for faster messaging and more holistic metric tracking.\n - AI facilitates highly personalized lead generation and qualification.\n - Startups are hiring for curiosity and understanding, rather than just narrow specializations.\n","

“You can do more with less than ever before,” Max Altschuler, general partner at GTMfund, told the audience at TechCrunch Disrupt last month.

Alison Wagonfeld, vice president of marketing at Google Cloud, said the craft of marketing is still very much required.

Inbound marketing has changed, too, he added, by using the results of those prompts to qualify and score inbound leads “with a lot more precision could have been in the past.”

When it comes time for a startup to begin crafting its go-to-market strategy, Wagonfeld said it’s important to consider what qualities it might want in a GTM team.

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