Using data from the May 5 th S&P 500 Earnings Scorecard, 84% of constituents have reported results (87% of aggregate earnings). Part 1 – Earnings and Revenue Beat/Surprise Rate If this happens, it will be the first time since 2020 Q4 where the index went from a negative growth rate at the start of earnings season and ended in the green. If the remaining companies report an aggregate earnings surprise of at least 5.6%, the Q1 growth rate will turn into positive territory. Q1 saw a ‘semi-v’ shaped pattern in aggregate earnings over the last three months, which saw earnings growth reach a trough of -5.2% at the start of earnings season and has since dramatically improved to -0.7%. This paved the way for a resilient quarter with a strong earnings beat rate and an earnings surprise rate that reached a multi-quarter high.
Find it on Apple Podcasts, Spotify, or wherever you listen.As we exit the peak period of earnings season, we review the S&P 500 2023 Q1 earnings season in more detail, providing both aggregate and company-level insights using data from I/B/E/S, StarMine, and Datastream, which are all found in the desktop solution Refinitiv Workspace.Īs highlighted in our 2023 Q1 Earnings Preview last month, analysts set the bar lower by aggressively downgrading estimates heading into earnings season. How will this new technology upend workforce productivity?ĪDI IGNATIUS: What impact will it have on creativity and innovation?ĪMY BERNSTEIN: How can you build a culture for generative AI and adopt it effectively in your organization?ĪDI IGNATIUS: And what does it mean for your company strategy?ĪMY BERNSTEIN: Please join us as we explore How Generative AI Changes Everything.ĪDI IGNATIUS: That’s each Thursday in May in the IdeaCast feed, after the regular Tuesday episode. How should you respond?ĪDI IGNATIUS: I’m Adi Ignatius, editor in chief of Harvard Business Review.ĪMY BERNSTEIN: And I’m Amy Bernstein, editor of Harvard Business Review.ĪDI IGNATIUS: Join us for a new special series: How Generative AI Changes Everything. We’ll be talking to business leaders at the leading edge of this innovation as well as experts, who in some cases are questioning the ethics and speed of this rollout.ĪMY BERNSTEIN: Over four episodes, we’re asking big questions. Generative AI could threaten your business model. It can pass for human, at superhuman speed.ĪMY BERNSTEIN: Plus, this technology is improving the more we use it.
#Revisions review professional
This technology still in its infancy can already write software, pass professional exams, write HBS-style case in seconds. These little experiences are part of a seismic shift in the business world. Asking it, say, like to, to write a version of the Gettysburgh Address in HBR’s style. You’ve probably heard of ChatGPT, a generative AI platform from the company Open AI. It was never as good as the human-made version.ĪDI IGNATIUS: And now, suddenly, generative AI is a lot better. HBR EDITOR AMY BERNSTEIN: It used to be that AI could do things like write an email or an essay. HBR EDITOR IN CHIEF ADI IGNATIUS: The tipping point for artificial intelligence is here. If you want to understand what this technology means for your organization and how you can lead effectively, listen every Thursday in May in the HBR IdeaCast feed, after the regular Tuesday episode. Hosted by HBR editor in chief Adi Ignatius and HBR editor Amy Bernstein, you’ll hear directly from the business leaders at the leading edge, as well as experts, who in some cases are questioning the ethics and speed of this rollout.
How will this new technology upend workforce productivity? What impact will it have on creativity and innovation? How can you build an internal culture that uses generative artificial intelligence and adopt it effectively in your organization? What could it mean for your company’s strategy?
#Revisions review series
HBR IdeaCast is cutting through the noise in the special series How Generative AI Changes Everything. Generative AI seems to be everywhere right now, but what do you actually need to know?
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