Goldman's Oppenheimer: 'Growing Opportunities' in Europe
Peter Oppenheimer, chief global equity strategist at Goldman Sachs, says the prospect of looser monetary and fiscal policy in Europe presents "growing opportunities" for equity investors when added to the cheaper valuation of European stocks when compared to their US peers. He speaks on Bloomberg Television. (Source: Bloomberg)
Hashtags
Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
Forbes
28 minutes ago
- Forbes
13 Big Hunches On AI And Consultants
The Scream', 1893. The Scream is one of four versions painted by Edward Munch in 1893. The ghostly, ... More agonised figure against the background of a red sunset is one of the most well known images in the world of art - a symbol of despair and alienation. From the Nasjonalgalleriet, Oslo. Artist Edvard Munch. (Photo by Art Media/The) Nathaniel Whittemore has some thoughts about consulting in the AI era. For those who might not know, Whittemore is the intrepid host of AI Daily Brief, a podcast I tend to pay attention to as we move through a profound technological shift that has most of us looking for answers. In a rare episode of the podcast where he acknowledged being on the road, Whittemore went through his own LinkedIn post about consulting companies, to glean some predictions and insights (13 of them) on how these firms will work as AI continues to take hold. Chunks of legal and accounting work, he suggested, will get sent to AI (that's #1) calling them 'total bye-byes.' Consulting, he said, will 'distill' things into a targeted set of realities around AI. He described a kind of musical chairs (that's #2) where companies will move into other market areas, big firms to mid-market, etc. as the change happens. As for the displacement of humans, Whittemore spoke to a demand for external validation that, he suggested, will keep the HITL (human in the loop) in play. Enterprises will divide into two categories, either slicing headcount, or use a 'flexible roster' of partners, consultants and fellow travelers. 'Personally, I'm pretty inclined towards smaller, more liberal organizations powered by a flexible roster of partners and consultants,' he said, 'because I think it aligns also with people's (takes) on their professional services, figuring out how far they can take it with AI.' Then there's Whittemore's theorization of new products and new lines of business, as well as 'new practices' (that's #4 on the list, read the list for the others.) His caveat: these predictions are 'ridiculously generic' and nobody really knows what the future holds. 'I think the way that this plays out is going to be pretty enterprise by enterprise,' he said. In the second half of the podcast, he suggested that business people are going to be 'Jerry Macguiring,' where they start to have a different picture of enterprise value. He talked about small teams of consultants managing large swarming agents as a 'default model' and suggested that 'pricing experiments' are going to become common. Buyers, he concluded, are going to prioritize intangibles. Here's another of Whittemore's points: people want to work with people who they like working with, or, in the parlance of his list, 'j𝘂𝗱𝗴𝗲𝗺𝗲𝗻𝘁, 𝘁𝗮𝘀𝘁𝗲𝗮𝗻𝗱𝗘𝗤𝗮𝗹𝗹𝗮𝗹𝘀𝗼𝗿𝗶𝘀𝗲𝗮𝘀𝗺𝗼𝗮𝘁𝘀𝗳𝗼𝗿𝗰𝗼𝗻𝘀𝘂𝗹𝘁𝗮𝗻𝘁𝘀.' (That's #10). More from Whittemore: the value of prototyping, a prediction of companies operating in what he called 'iteration-land,' and an advantage to parties who can build frameworks for the AI future. 'Continuous iteration requires data measurement, analytics, and systems,' he said, 'to make sense of it all: I think these are table stakes aspects of engagements, now that consultants and professional services firms just have to build in an understanding and an expectation of how they're going to measure their impact.' There's a lot of insight here, and if you want to go back and read the whole thing over again, I wouldn't blame you. Whittemore goes over a lot of his analysis at lightning speed. But you do see certain things crop up time and time again – The idea that rapid change is going to shake out in certain ways, and that companies and people need to pivot as our AI revolution keeps heating up. Check it out.
News24
30 minutes ago
- News24
Zambia urges carmakers to build parts locally, ship to SA
Zambia has held talks with carmakers to entice suppliers to build electric-vehicle components plants near its copper mines. 'We have been talking, even last week when I was in Germany, telling these companies to please consider the manufacture of some of your electric-vehicle components in Zambia,' Finance Minister Situmbeko Musokotwane said in Livingstone on Monday. 'Those components can then be shipped to your factories in South Africa, which now exports to the rest of the world. That is a powerful way of value addition.' Zambia is Africa's second-biggest producer of copper, a key component in EV engines. The government plans to continue pursuing prudent fiscal policies, even if it doesn't start a new International Monetary Fund programme when the current one ends in October, he said. The cabinet had yet to decide whether to seek another loan. Musokotwane criticised the abrupt cancellation of some aid programs to Zambia and Africa in general by the US, while acknowledging the assistance was always expected to decline. The minister was speaking at Bloomberg's annual Africa Business Media Innovators conference.
Yahoo
33 minutes ago
- Yahoo
Bitcoin's rally means all of Strategy's purchases are profitable
(Bloomberg) — The mini rally in Bitcoin (BTC-USD) over the past few trading sessions has made every purchase of the cryptocurrency by Michael Saylor's Strategy (MSTR) over the last four plus years profitable. The former MicroStrategy Inc. announced earlier Monday that it had acquired an additional 1,045 tokens for $110.2 million from June 2 to June 8, or for an average price of $105,426 each. Bitcoin was up about 1.7% to $108,022 as of 12:39 p.m. in New York, and has climbed around 7.5% since June 5. Strategy has made around 70 separate purchase announcements since Saylor began to invest cash from the enterprise software maker's balance sheet into Bitcoin in the middle of 2020. That includes 15 purchases of $1 billion or more of Bitcoin, according to data compiled by Bloomberg. As the price of Bitcoin fluctuated over the years, many of the purchases were periodically under water. Saylor, who co-founded the Tysons Corner, Virginia-based firm and and serves as executive chairman, later begin selling common shares as well as preferred stock and debt to fund additional purchases. Strategy owns 582,000 Bitcoin, valued at about $62.9 billion, The overall average price per token is $70,086. The latest purchases were made with $112 million in net proceeds from the sale of the company's Strike preferred stock (STRK) and Strife preferred stock (STRF), according to a filing with the US Securities and Exchange Commission. Last week, Strategy sold another class of securities, called Perpetual Stride Preferred Stock, (STRD). The firm estimated it will realize net proceeds of about $979.7 million from the offering. The top 26 purchase announcements based on the average cost of Bitcoin have all happened in the last 12 months, data compiled by Bloomberg shows. Strategy is the leading corporate holder of the digital currency. Saylor has pledged to raise $84 billion in equity and debt. The Strategy playbook has inspired many copycats looking to share the same success from purchasing and holding cryptocurrencies to boost their share prices. Companies such as Mara, Gamestop, Semler and Trump Media have all announced plans to use cash to buy the cryptocurrency, but none have been able to replicate the successes Saylor's company enjoys. Shares of Strategy rose about 3.4% to $387.30 on Monday, and are up over 3,000% since July 2020. The S&P 500 Index has climbed around 93% during the same period, while Bitcoin has rallied about 1,060%. ©2025 Bloomberg L.P. Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
