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Web Scraping APIFeaturesInfrastructure FeaturesPlatformsTravel APIsReal Estate APIsPricing
Platforms
Google SearchGoogle TrendsBingBraveGoogle MapsDatasetsGeocodingJustWatchAirbnbTripAdvisorZillowCoinGeckoYahoo FinanceGoogle FinanceAmazon
Developers
DocsGetting StartedAuthenticationAPI ExamplesRecipesShowcasesBlogChangelogPlaygroundSDKsIntegrationsMCPGitHub
Use cases
SERP MonitoringGoogle Maps LeadsTravel & Hospitality ResearchProperty Market IntelligenceApp Review AnalysisReview & Reputation MonitoringTikTok Trend IntelligenceYouTube Creator IntelligenceAmazon Product MonitoringMusic Catalog / Playlist IntelligencePodcast & Audio IntelligenceCrypto Market ResearchFinance Market DataAI Agent Web Data
Legal
TermsPrivacy

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YouTube video intelligence showcase

Leading in the Age of AI: A Conversation with NVIDIA CEO Jensen Huang | Global Conference 2026

Jensen Huang discusses how AI is moving from generation to reasoning and agentic action, why demand for compute is surging, and how the shift is reshaping chips, data centers, manufacturing, and energy infrastructure.

Milken InstituteAI’s evolutionCompute demandThe new AI computing industry46 min 20 secMay 4, 20266 comment sample
Transcript API Comments API Source video

Build this with Crawlora

Video intelligence API workflow

Video ID
dUFis1dte14
Available APIs
TranscriptCommentsMetadata
YouTube transcript API YouTube comments API YouTube video metadata API YouTube scraping API Creator intelligence workflow Pricing Source video
Open transcript in Playground Open comments in Playground Get API key

cURL

curl "https://api.crawlora.net/api/v1/youtube/transcript/dUFis1dte14" \
  -H "x-api-key: $CRAWLORA_API_KEY"

Video summary

Jensen Huang on AI’s next phase, infrastructure demand, and the changing computer industry

In this conversation, Jensen Huang discusses how AI has evolved from generative systems to reasoning and agentic tools that can understand intention, plan, and take action. He outlines the enormous compute and infrastructure demands created by this shift, describing AI as a transformation that is reinventing the computer industry and driving new investment in chips, factories, data centers, and energy. The discussion also explores U.S. re-industrialization, supply-chain constraints, and the opportunity to modernize power infrastructure as AI adoption accelerates.

From generative AI to agentic AI

Huang explains how generative AI led to reasoning and agentic AI, making AI more useful for tasks like coding, planning, and tool use.

Exploding demand for compute

The discussion emphasizes the scale of compute required for AI, with demand rising dramatically as more people and companies adopt these systems.

AI as a new computing stack

Huang describes AI as a force that is reshaping the computer industry, from chips and data centers to models and applications across sectors.

Infrastructure, manufacturing, and energy

The conversation also touches on supply-chain bottlenecks, U.S. re-industrialization, and the opportunity to modernize the power grid through AI-driven investment.

Topics

AI’s evolution

How generative AI enabled reasoning and agentic systems that can understand intention, use tools, and automate work.

Compute demand

Why AI systems require far more compute and why demand is growing rapidly across users and industries.

The new AI computing industry

How AI is affecting the broader computer stack, from GPUs and systems to models and applications.

Audience comments snapshot

Audience comments highlight strong admiration for Jensen Huang and the interview style

The sampled comments are overwhelmingly positive about Jensen Huang, with viewers calling him a great or best CEO, saying his presence feels optimistic, and praising his confidence and charisma. Several comments also compliment the host for listening well, letting the conversation breathe, and helping extract clear insights. A few viewers said they watched the interview more than once or viewed it as one of the best Jensen interviews they had seen.

Sampled comments
6
Visible likes
207
Public replies
5

Comment themes

Optimism around leadership

Comments repeatedly frame Huang as a charismatic, confident leader whose outlook on AI feels encouraging rather than alarming.

Well-received interview execution

The interview is appreciated for being conversational and substantive, with the host credited for drawing out useful explanations.

Interview quality compared favorably to others

Some viewers compare this favorably to other interviews, suggesting the pacing and questioning style made it especially effective.

Audience signals

Strong admiration for Jensen Huang

Multiple commenters praise Jensen Huang directly, describing him as the best or greatest CEO and someone who creates an optimistic future.

Positive reaction to his messaging

Some viewers say the conversation left them feeling optimistic or impressed by his way of explaining ideas.

Praise for the interview format

Several comments focus on the host’s interviewing style, especially listening without interrupting and allowing the discussion to flow.

High viewer approval and repeat viewing

A few viewers say this was among the best Jensen interviews they’ve seen and mention rewatching it.

Representative public comments

@gamingguru21352026-05-09

Best CEO. Creates an optimistic future. While some other people are trying to scare you.

89 likes3 replies
@rafaelg.99622026-05-09

I feel optimistic after listening to him

53 likes1 replies
@fireonhair2026-05-09

the swagger on this dude is awesome

24 likes0 replies
@BlannonGromley2026-05-09

This is the kind of interview I love watching. The host actually listens instead of constantly cutting in, unlike Dwarkesh, who kept interrupting Huang and trying to provoke him. Becky did a great job letting the conversation breathe, and it really opened my eyes. Nvidia has been at the center of building AI and hel...

17 likes1 replies
@TotallyAria2026-05-09

One of the best Jensen’s interview, heard it twice, Becky was amazing in extracting great info/thought’s out of Jensen 👏 and Jensen’s examples in making it all understand was top notch … he is the greatest CEO and a salesman

9 likes0 replies
@ToreyanClarke2026-05-09

best interview I’ve seen with Jensen all year.

15 likes0 replies
Build with YouTube comments data

Use Crawlora's YouTube comments API with the video and transcript endpoints to collect viewer language, thread activity, and audience signals.

Comments API docs Playground
Build this workflow
1Fetch video metadata

Start with the video endpoint to capture ID, channel, publish date, duration, and source context.

2Fetch transcript

Pull timestamped transcript data for summarization, search, citation, and RAG preparation.

3Fetch public comments

Collect visible audience comments to identify themes, objections, questions, and engagement signals.

4Store, analyze, report

Persist structured JSON, run analysis, and publish dashboards, alerts, or research reports.

Public transcript excerpt

Transcript

Timestamped public transcript passages group captions into readable sections, making the video easier to scan, cite, and summarize.

Public excerpt
5:00

>> Mhm. And how would you benefit from it? That's the number one. Number two, why what kind of infrastructure is necessary to produce intelligence? And this is one of the big ideas in computer science and this is something I reason about, you know, right now I'm talking to you guys, I'm reasoning step by step. And And 15

Build with YouTube transcript data

Use Crawlora's YouTube transcript API to fetch fresh timestamped transcript data for your own server-side workflows.

API docs Sign in

Build this with Crawlora

Video intelligence API workflow

Video ID
dUFis1dte14
Available APIs
TranscriptCommentsMetadata
YouTube transcript API YouTube comments API YouTube video metadata API YouTube scraping API Creator intelligence workflow Pricing Source video
Open transcript in Playground Open comments in Playground Get API key

cURL

curl "https://api.crawlora.net/api/v1/youtube/transcript/dUFis1dte14" \
  -H "x-api-key: $CRAWLORA_API_KEY"