{"id":22177,"date":"2025-01-11T04:20:46","date_gmt":"2025-01-11T04:20:46","guid":{"rendered":"https:\/\/peraltafinancing.com\/business\/internet-business\/ai-vc-trends-dashboard-for-2025\/"},"modified":"2025-01-11T04:20:46","modified_gmt":"2025-01-11T04:20:46","slug":"ai-vc-trends-dashboard-for-2025","status":"publish","type":"post","link":"https:\/\/fivemor.com\/?p=22177","title":{"rendered":"AI VC Trends & Dashboard For 2025"},"content":{"rendered":"


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2025 will be a pivotal year, as everyone in AI knows. <\/p>\n

I\u2019ve compiled a set of insights for 2024 and some key patterns I\u2019ve seen developing for 2025.<\/p>\n

I\u2019m playing around with many AI tools to get a feel of where we are in agentic AI development.\u00a0I\u2019ve also published the key data of this piece at <\/span>ChiefFinancialOfficerAI,<\/a> where you can query it with an AI Assistant. I\u2019ll keep updating it so you will see major trends for 2025 shaping up to get a feel of what\u2019s happening for AI capital flows.<\/span><\/strong> <\/span><\/p>\n

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Let\u2019s get to it.<\/p>\n

The talk by Nvidia\u2019s iconic CEO, Jensen Huang, at CES, only confirmed what we\u2019re going through in terms of the subsequent phases of development in AI. <\/p>\n

And I\u2019m not talking just about regular people who feel the exceptional bottom-up rise of AI tools as they become available to more and more consumers.<\/p>\n

There is also massive pressure on top executives at big tech who are rushing to become hyperscalers. <\/p>\n

Transitioning from Big Tech to hyperscaling means a shift from major distribution control of consumer demand via the existing pipelines to<\/span>, and that\u2019s the key point, the control over the \u201cAI computing pipelines,\u201d which will become a key strategic asset to have in the coming decades.<\/strong> <\/span><\/p>\n

And the same type of pressure to keep up to implement AI within their enterprise businesses by <\/span>top executives in all the verticals who are getting potentially redefined by AI.<\/strong><\/p>\n

So much so that, as I\u2019ve <\/span>explained in the last weekly issue<\/a>, we saw already the massive rise of an AI Managerial class at an enterprise level: <\/span><\/p>\n

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Just a few days back, Google\u2019s CEO Sundar Pichai, addressing his top executives, said: <\/p>\n

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I think 2025 will be critical,<\/em><\/p>\n<\/blockquote>\n

Pichai said:<\/p>\n

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I think it\u2019s really important we internalize the urgency of this moment, and need to move faster as a company. The stakes are high.<\/em><\/p>\n<\/blockquote>\n

Pichai also emphasized: <\/p>\n

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we have some work to do in 2025 to close the gap and establish a leadership position there as well.<\/em><\/p>\n<\/blockquote>\n

And he closed up with: <\/p>\n

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Scaling Gemini on the consumer side will be our biggest focus next year.<\/em><\/p>\n<\/blockquote>\n

At the same time,\u00a0<\/span>on the stage at CES, Jensen Huang<\/a>\u00a0has made clear we\u2019re in the middle of a massive shift, which, rather than being over, is transitioning us from generative AI to agentic AI, to bringing us to a phase of \u201cPhysical AI.\u201d<\/span><\/strong><\/p>\n

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I\u2019ll emphasize these points in the upcoming issues. <\/p>\n

On the other hand, I can confirm that I get more and more questions from top executives at large enterprise companies who are trying to figure things out on the fly. <\/p>\n

That\u2019s the paradox of 2025. It will be a pivotal year for further consumer adoption. At the same time, the enterprise will also push on the accelerator to try to figure things out.<\/strong> <\/span><\/p>\n

In the end, we\u2019ll see three pivotal moves: <\/p>\n