Matt Marshall

Nvidia’s $20 billion strategic licensing deal with Groq represents one of the first clear moves in a four-front fight over the future AI stack. 2026 is when that fight becomes obvious to enterprise builders.

LinkedIn is launching its new AI-powered people search this week, after what seems like a very long wait for what should have been a natural offering for generative AI.

I’m thrilled to announce a fantastic new addition to our leadership team: Karyne Levy is joining VentureBeat as our new Managing Editor. Today is her first day.

On a recent transatlantic flight, Mark Ruddock, an entrepreneur in residence at GALLOS Technologies, decided to put his team of AI agents to work. He was 34,000 feet over the Atlantic with a high-stakes product demo for a key client in less than 48 hours, and his software platform wasn't ready.

In the frenzied land rush for generative AI that followed ChatGPT’s debut, the mandate from Intuit's CEO was clear: ship the company's largest, most shocking AI-driven launch by Sept. 2023.

The chatter around artificial general intelligence (AGI) may dominate headlines coming from Silicon Valley companies like OpenAI, Meta and xAI, but for enterprise leaders on the ground, the focus is squarely on practical applications and measurable results. At VentureBeat's recent Transform 2025 event in San Francisco, a clear picture emerged: the era of real, deployed agentic AI is here, is accelerating and it's already reshaping how businesses operate.

Tomorrow in San Francisco, VentureBeat's Transform 2025 kicks off. For years, this has been the leading independent gathering for enterprise technical decision-makers — the hands-on builders and architects on the front lines of applied AI. 

The recent uproar surrounding Anthropic's Claude 4 Opus model – specifically, its tested ability to proactively notify authorities and the media if it suspected nefarious user activity – is sending a cautionary ripple through the enterprise AI landscape. While Anthropic clarified this behavior emerged under specific test conditions, the incident has raised questions for technical decision-makers about the control, transparency, and inherent risks of integrating powerful third-party AI models.

After three hours at Google’s I/O 2025 event last week in Silicon Valley, it became increasingly clear: Google is rallying its formidable AI efforts – prominently branded under the Gemini name but encompassing a diverse range of underlying model architectures and research – with laser focus. It is releasing a slew of innovations and technologies around it, then integrating them into products at a breathtaking pace.

Google’s new AlphaEvolve shows what happens when an AI agent graduates from lab demo to production work, and you've got one of the most talented technology companies driving it.

The race between AI giants has completely shifted. OpenAI, the company that has largely set the agenda in artificial intelligence for the past few years, now finds itself in a high-stakes race to defend its territory and conquer new frontiers, particularly AI-powered coding. The reported acquisition of Windsurf, an AI-native integrated development environment (IDE), for $3 billion – a huge sum considering Windsurf only has a reported $40 million in annualized revenue – reflects OpenAI’s urgent need to counter big challenges from Google and Anthropic and to secure a dominant position in the emerging agentic AI world.

The relentless pace of generative AI innovation shows no signs of slowing. In just the past couple of weeks, OpenAI dropped its powerful o3 and o4-mini reasoning models alongside the GPT-4.1 series, while Google countered with Gemini 2.5 Flash, rapidly iterating on its flagship Gemini 2.5 Pro released shortly before. For enterprise technical leaders navigating this dizzying landscape, choosing the right AI platform requires looking far beyond rapidly shifting model benchmarks