AI might be able to do most of a CEO’s job: It’s taking over a variety of tasks humans can do. Soft skills will be important in the wake of change.
On today's podcast episode, we discuss what social networks can't stop getting wrong, whether Amazon can make its app fun, if enough people care about voice assistants, whether Uber's "Return a Package" feature will take off, how AI may change entrepreneurship, which music format has made the most money for the music industry in the past 50 years, and more. Tune in to the discussion with our vice president of content Suzy Davidkhanian, vice president of Briefings Stephanie Taglianetti, and analyst Max Willens.
Amazon’s impressive Q3 earnings tinged with AWS cloud challenges: Despite robust ad revenue, AWS needs innovation to maintain its market leadership and meet investor expectations for continuous growth.
Meta’s Reality Labs reported a $3.74 billion operating loss and dwindling VR engagement, complicating the company’s AI pivot while competition and regulatory scrutiny intensify.
OpenAI’s business model under siege: Many customers are opting for bundled Microsoft offerings and switching to cheaper open-source alternatives, hurting OpenAI’s direct sales and profitability.
Snap posts strong Q3 earnings, marking a turning point: A difficult year for Snapchat forced severe cost-cutting and a focus on AI.
“The misconception in my mind is that you can ignore [generative AI],” Vincent Yates, chief data scientist of consulting firm Credera, said at Advertising Week New York 2023.
The company thought AI wouldn’t deliver revenue gains until 2024. Recent earnings show that it’s already fueling profit in cloud and productivity services.
Google shines on ad revenue but high AI expenses disappoint: Its Q3 earnings fell short in cloud revenue amid heavy AI investments. Investors seek clarity on generative AI profitability.
To keep campaigns new and relevant, Poshmark leans on AI to enhance product images and refresh video assets. The fashion resale platform has also employed AI to help it translate TV ads into different languages to scale campaigns across countries.
Alphabet's Q3 revenues hit $76.7 billion: Growth driven by Google Search, AI innovations, and YouTube ads.
On today's podcast episode, we discuss some personalization tips and tricks that emerged from research, examples of personalization done well, and how AI is accelerating it. "In Other News," we talk about why an email exhibition at a design museum made headlines and a plan to charge X (formerly Twitter) users to post content. Tune in to the discussion with our director of Briefings Jeremy Goldman and Malinda Sandman, senior director of global acquisition marketing at Intuit Mailchimp.
Nvidia wants to take its chip market dominance to the next level: It’s adding CPUs to its chip portfolio to rival Intel. It could shake up the PC landscape.
Some AI chatbots reveal racial biases: Medical discrimination against minority patients isn’t new. But if large language models are flawed and relied on in healthcare, the problem could get worse.
Bots make people lazy, study suggests: Humans may underperform when working alongside robots. Awareness of AI’s limitations is crucial for collaboration and workplace efficiency.
On today's podcast episode, we discuss what AI rules the government should focus on first, what to make of AI "nutrition labels," and what concerns us most about the dark side of AI. "In Other News," we talk about a Minecraft milestone and what AI chatbots can tell about you from a conversation. Tune in to the discussion with our analysts Jacob Bourne and Gadjo Sevilla.
Apple is setting the stage for a colossal faceoff in an already crowded arena as it aims to deploy its genAI by late 2024. Acquisitions could accelerate Apple’s timetable.
More appliance makers join the fold, but supporting an expanding range of interoperable smart home products is a herculean task. Accountability might be a problem.
Generative AI is starting to supercharge the gaming industry: It’s revolutionizing gameplay and development. It also presents challenges in content control and potential workforce implications.
Google wants to share its cloud platform with AI novices: The Big Tech firm is looking to expand its customer base by making its products easier to use. The strategy is solid but misses the bigger picture.