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Steven Rosenbush

New York

Bureau Chief, WSJ Pro Enterprise Technology at The Wall Street Journal

Enterprise Tech Editor, WSJ Pro. @CIOJournal @WSJCyber @WSJProAI

Articles

  • 1 week ago | wsj.com | Steven Rosenbush

    The acquisition of memory brings growing context, awareness and relevance to AI chatbots and agents, even as such personalization ramps up the need for data privacy, security and responsible useArtificial intelligence is entering what might be known as its “Cheers” era, when every chatbot will know your name.

  • 1 week ago | fnlondon.com | Steven Rosenbush

    The AI Experience Is Going From ‘50 First Dates’ to ‘Cheers’The acquisition of memory brings growing context, awareness and relevance to AI chatbots and agents, even as such personalization ramps up the need for data privacy, security and responsible use Published May 29, 2025 at 7:00 AM ET Artificial intelligence is entering what might be known as its “Cheers” era, when every chatbot will know your name.

  • 1 week ago | jp.wsj.com | Steven Rosenbush

    【サウスサンフランシスコ(米カリフォルニア州)】人間に代わって複雑な作業を実行できる有用な人工知能(AI)エージェントの開発競争が新たな難題に直面しようとしている。 AIエージェントの中核をなす大規模言語モデル(LLM)には多くの作業をこなす実力があるが、エージェント内部のLLMと、エージェントが作業を実行するのに必要なツールとを接続させることがますます重視されている。Copyright ©2025 Dow Jones & Company, Inc. All Rights Reserved. 87990cbe856818d5eddac44c7b1cdeb8

  • 2 weeks ago | businessandamerica.com | Steven Rosenbush

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  • 2 weeks ago | wsj.com | Steven Rosenbush

    SOUTH SAN FRANCISCO, Calif.—The race to build useful artificial-intelligence agents that can perform complex actions for people is moving on to a new set of challenges. The large language models at the core of these agents are good enough for many tasks. But there is a growing emphasis on connecting the LLMs inside agents to a plethora of tools that they will need to get their jobs done. Copyright ©2025 Dow Jones & Company, Inc. All Rights Reserved. 87990cbe856818d5eddac44c7b1cdeb8

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Steve Rosenbush
Steve Rosenbush @Steve_Rosenbush
30 Apr 25

Looking for ways out of the productivity paradox, in which the full potential of AI capabilities aren’t realized, at least right away. It can take years to figure out how to harness new technologies, but AI is under particular pressure to deliver now. @Benioff @erikbryn

Marc Benioff
Marc Benioff @Benioff

“Ryan Teeples, chief technology officer of 1-800Accountant, agrees that “breaking work into AI-enabled tasks and aligning them to KPIs not only drives measurable ROI, it also creates a better customer experience by surfacing critical information faster than a human ever could.

Steve Rosenbush
Steve Rosenbush @Steve_Rosenbush
30 Apr 25

To avoid the productivity paradox @erikbryn advocates for a task-based analysis, in which a company is broken into fine-grained tasks or “atomic units of work” that are evaluated for potential AI assistance. As AI is applied, the results are measured against KPIs. @workhelix

Erik Brynjolfsson
Erik Brynjolfsson @erikbryn

Here's a terrific article by @Steve_Rosenbush in the @WSJ quoting me and others about how to address the gap between AI's amazing capabilities and the frustration many businesses have in delivering value.

Steve Rosenbush
Steve Rosenbush @Steve_Rosenbush
30 Apr 25

RT @rwang0: MyPOV: @Steve_Rosenbush has the strategic POV> Successful AI adoption begins with a targeted and intentional approach, and pro…