Nvidia insiders have sold over $1b worth of stock in past year, FT says
Nvidia (NVDA) insiders have sold over $1B worth of stock in the past year, with a notable increase in recent trading activity, as insiders look to cash in on investors' enthusiasm for AI, Michael Acton and Patrick Temple-West of The Financial Times reports. More than $500M of the share sales took place this month.
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Will AI ‘completely rewire' loyalty programs?
This story was originally published on CX Dive. To receive daily news and insights, subscribe to our free daily CX Dive newsletter. A growing number of brands are using AI to improve customer experience with loyalty programs and streamlined operations. These brands are using the technology to offer more personalized experiences and automate highly repetitive, manual processes. The technology is a game-changer, particularly for customer analytics. Loyalty program leaders have been able to segment customer data for years, allowing them to target offers to specific groups, said Patricia Camden, EY Americas loyalty leader. 'But with those segments, you're still just talking to a broad, generalized group that you've put into a bucket.' AI, on the other hand, takes it a step further. The technology enables brands to target offers to specific individuals by helping them understand 'what each human values' instead of 'pushing the same reward to everyone' or those within a particular segment, Camden said. AI also allows loyalty programs to actively shape consumer behavior and habits while deepening a brand's relationship with a customer, Camden said. 'It really allows the brand to tailor the rewards, messaging, offers and experiences to individual preferences and behaviors in real time,' Camden said. 'That's probably the most powerful thing about AI and how it can improve loyalty.' A fast casual restaurant, for example, could send a customer unique offers for new items to help 'unlock a secret reward' designed for that customer or provide them additional points for their loyalty, Camden said. 'It's really loyalty gamified but in a way that feels personal, not gimmicky,' Camden said. Those changes have the potential to disrupt existing customer relationships and establish new ones. 'Loyalty will become less about what a brand wants to push and more about how consumers want to engage,' Camden said. 'AI is going to completely rewire the role loyalty plays in the customer experience.' AI can help loyalty program leaders stretch their limited resources by helping create content for hyperpersonalized offers and optimizing campaign spend. 'It really saves marketing teams time and budget,' Camden said. Instead of assigning staff such tasks as exchanging and reconciling transactions between program partners or providing individual customer preferences to hotels and retailers, AI can manage such tedious tasks, said Brendan Boerbaitz, senior manager at Deloitte Consulting. AI can also improve predictive analytics. One EY client, for example, uses its loyalty program to ensure that customers renew their relationship with the brand each year and now uses AI to identify and target offers to customers who are likely to churn, Camden said. More and more loyalty programs are using AI for fraud detection, too. Unlike humans, AI can quickly 'connect dots at scale' to ensure points and benefits are issued correctly, said John Pedini, principal analyst at Forrester. 'It can help flag unusual patterns before they become expensive problems,' Camden said. However, before integrating AI into their customer loyalty programs, brands must 'develop use cases that provide clear and measurable value,' including personalization, segmentation, variant testing and low- or no-code campaign development, Pedini said. It's best to focus on applications of AI that take an existing process and make it better, more efficient or cheaper, Pedini said. Starbucks, for instance, uses its proprietary AI platform dubbed Deep Brew 'to drive automation, operational efficiency and loyalty engagement by identifying and incentivizing specific members with personalized offers and rewards,' Pedini said. But not all use cases need AI. Forcing AI on business problems that could be solved via more conventional, lower-cost solutions is a 'big pitfall,' Boerbaitz said. When deciding whether to implement AI, Boerbaitz urges brands to consider the following questions: If AI were stripped from the document, would it be clear what problem is being solved? Do I truly understand the specifics of the problem we're solving down to the level of the user? Is this problem underserved by other tools and techniques? AI adoption is a 'team sport' that requires cooperation to avoid redundant work and conflicting initiatives, and build data sets, tools and models for multiple applications, Boerbaitz said. 'It takes engineering, architecture, strategy, change management, data and loyalty teams all coming together to make AI programs in loyalty successful,' Boerbaitz said. It's also important not to rush the process. Brands should avoid launching an AI model too soon because the technology depends on high-quality data to deliver on its promises. Launching a model with outdated or incomplete data could lower accuracy and create 'more issues than it solves,' Pedini said. 'The worst thing you can do is have incomplete data sets,' Camden said. 'If the AI makes assumptions based on what it knows, you can end up sending something that is not appropriate or not what the client expects to see.' That can take away the 'emotional element' of loyalty programs, Camden said. 'If a brand lets AI take the wheel without real human guardrails, the customer experience could start to feel impersonal, off base and overcurated,' Camden said. Loyalty program managers should ensure their data is comprehensive, including all channels and touch points, and properly labeled, Pedini said. Sound data governance of policies, standards and procedures is also vital to ensuring privacy, preventing bias and complying with regulations, Pedini said. It's also essential for humans to be involved in loyalty programs because first-party data can help businesses improve their product strategy, brand positioning and service design. However, that won't happen 'if the machines take over,' Camden said. 'AI should not be used to replace our thinking.'
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First half of 2025 market action: S&P 500 climb, Nvidia record high
As the first half of 2025 comes to a close, Morning Brief host Brad Smith examines the S&P 500's (^GSPC) record-setting run, Nvidia's (NVDA) fresh record highs, and more. To watch more expert insights and analysis on the latest market action, check out more Morning Brief here. Well, the S&P 500 notched a fresh record on Friday, and with futures higher, it could continue to break records on the final trading day of June here. But how did we get here? That's the big question. The index, it came into the year strong, fueled by Wall Street's enthusiasm for President Trump's election. But there were several key moments that sent stocks up and also retreating as the first half progressed, culminating in the index's fastest ever recovery from a 15% drop. And so, take a look here at the chart and the pathway that you've seen. On your screen, you'll see a few of those key moments. One of them that I want to zero in on to start off things because this is where we ultimately were starting to get a sense of where there could be cracks in this AI trade because of the elucidation of some of the competition overseas, especially within the realm of deep sea. But what took place thereafter, especially after we were already watching some of the declines and the pullbacks into of the most favorite stocks in Wall Street. Oh, yeah, namely Nvidia, and then, of course, another key barometer, an Apple. Those were leading some of the pullbacks early on in the start of the year. Deepseek worse than that. But then we ultimately did see a rebound as Nvidia started to come out and Jensen Huang essentially saying, no, this is actually good for our business and for some of the competition that would essentially on the app side still rely on chips which are the base level of the AI thinking and the broader stack that investors have been considering in terms of the applications sitting on top of the language learning models that then sit on top of the chipset where Nvidia was quick to pound the pavement and say, no, this still means more demand for us. So you see a rebound and we go into February, notch some new all-time highs. However, this is where the market needed to start to really begin thinking about what President Trump, who had then been weeks in office, talking about was what the tariff policy could look like here and the composed or uncomposed chaos that ensued. And so, in all of that messaging, one of the key dates that was laid out by the administration was the liberation day, as it was dubbed. April 2nd, those tariffs announced, and the sweeping move ultimately sent stocks cratering here. You took a look at what we had seen in the declines and the precipitated the declines rather, and the precipitous drop into that and throughout that next week. But this is another key day that investors will remember, and this might become known in history in some form as Taco Day. This the trick, the chicken out trade, if you will, as we saw the reversal of some of those liberation day tariffs and the fastest ever rise and recovery that then ensued thereafter. Now, here's also what is key, because now we were in a position of wait and see for some of the deals that would begin coming through. Oh, yeah, by the way, in the backdrop, we were also moving through an earning season where companies had to either pull their guidance in entirety or update and revise. And that takes us into some of the fact set data where we'd seen tariffs become the most mentioned common denominator on earnings call over the course of these seasons. So with that in mind, it became known that we would need to still wait and see what types of deals would come forward, US and China being the chief most between the world's two largest economies. And so, May 14th, US and China reciprocal tariffs were paused. However, there's still more to net out in some of the details of a deal going forward. So even with a truce in mind, we've still can see continued to see markets trend higher, but the larger question that's still being mulled on the street right now is, is this meltup right now actually one of the biggest risks going into the back half of the year? And that is something that time will tell. 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
Yahoo
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87% of business leaders think AI agents will replace human employees if companies don't make big moves to upskill their workforce
Good morning! Companies are scrambling to introduce AI agents into their workflow at a rapid clip. But workers are afraid that this tech revolution may actually lead to their own professional demise, and a new study shows that they have good reason to be worried. Around 87% of business leaders believe AI agents will displace workers unless companies are willing to upskill their employees, according to management consulting firm KPMG's latest AI Quarterly Pulse Survey. That includes providing additional training, creating new goals, or even changing their roles. 'Our clients are no longer asking 'if' AI will transform their business, they're asking 'how fast' it can be deployed,' notes Todd Lohr, head of ecosystems at KPMG. 'This isn't just about technology adoption, it's about fundamental business transformation that requires reimagining how work gets done and how it is measured.' The deployment of AI agents across organizations has tripled since the fourth quarter of last year, according to the report. Around 82% of business leaders believe that AI agents will become valuable contributors within the next year, and the same number believe these agents will completely change the business landscape in the next two years. CEOs have recently become bolder about saying that AI could lead to leaner human workforces. The CEO of Anthropic said earlier this year that AI could eliminate half of entry level roles. The CEO of language learning app Duolingo told staff in April that they could only hire a new person if they first proved the task couldn't be done with AI. And Meta recently announced plans to replace up to 90% of its human employees who review the platform's privacy and societal risks with AI. Upskilling employees might be easier said than done, though. While two-thirds of leaders expect employees to update their AI skills, only a third say the companies they work for are providing policies around how the technology should be used, according to recent research from talent advisory The Adecco Group. A separate study from management consulting firm Oliver Wyman found that while 79% of workers want AI training, only 57% say such upskilling efforts made by their company have been inadequate. 'As employers, we have a responsibility to help prepare current and future workers for the transition to a new era of work,' writes Edwige Sacco, head of workforce innovation at KPMG. 'Investments in human-centric change management, modern ways of learning, proactive upskilling, and new human-AI collaboration models are essential for unlocking the long-term return on AI investments.' Brit This story was originally featured on 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
