AI-powered chat summaries are coming to WhatsApp
Meta is adding a new Message Summaries feature to WhatsApp that uses AI to summarize unread messages in a few bullet points. The feature is built on the Private Processing technique Meta announced at Llamacon in April, and claims to let AI work with content in WhatsApp without exposing any of it to Meta itself.
Once the feature appears in your app, you just tap on the onscreen banner over your unread messages with that says "Summarize privately" to receive a summary from Meta AI. The Message Summaries feature is rolling out to WhatsApp users in the US chatting in English first, but Meta says it hopes to "bring it to other languages and countries later this year."
The company pitches summaries as an easier way to catch-up on what you missed if you haven't checked your phone or you're just in too many chats. AI is by no means foolproof at even simple tasks like this — Apple's trouble with notification summaries was only a few months ago — but the tool could be appealing to people in particularly large and active chats.
The real novelty of the summaries is how Meta claims to be deploying them without walking back the private nature of WhatsApp chats. The company has a blog post and whitepaper digging into the details of how Private Processing works, but on first blush it sounds similar to Private Cloud Compute, the method Apple uses to call on more demanding AI features without exposing its users' data. Using end-to-end encryption and a secure cloud environment, WhatsApp messages can be processed without data being accessed while its happening, or saved after the fact.
Importantly, all of this is still optional. Summaries won't be provided without you asking for them first, and the feature is disabled by default. Meta also says you can exclude chats from being shared with the company's AI via the Advanced Chat Privacy feature.
Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
Business Insider
43 minutes ago
- Business Insider
Is there More Upside in Vertiv Stock (VRT) After a Stellar Rally?
Vertiv Holdings (VRT) stock has rallied by more than 40% over the past year, as the data center infrastructure company is experiencing solid demand for its products amid the ongoing AI (artificial intelligence) boom. While most analysts are bullish on VRT stock due to AI tailwinds, Wall Street's average price target indicates a possible downside from current levels. Confident Investing Starts Here: Easily unpack a company's performance with TipRanks' new KPI Data for smart investment decisions Receive undervalued, market resilient stocks right to your inbox with TipRanks' Smart Value Newsletter Favorable Demand Backdrop for AI Infrastructure Companies Vertiv provides energy-efficient cooling and power solutions that are required to support AI workloads. Interestingly, on Friday, VRT stock rose by 2% after Reuters reported that the Trump administration is preparing a series of executive actions to increase energy supply for AI development in the U.S. Spending on data centers is expected to increase in the coming years, benefiting AI infrastructure companies such as Vertiv Holdings. Bank of America estimates total data center spending to grow at a compound annual growth rate (CAGR) of 13% from 2024 to 2028, reaching $532 billion by 2028. In fact, infrastructure-related spending is expected to rise even faster, at a CAGR of 16%. Here's What Bulls and Bears Think About VRT Stock According to TipRanks' Bulls Say, Bears Say Tool, VRT Bulls are optimistic about the company due to robust demand and better visibility, which are driving higher estimates. Many analysts also believe in Vertiv's ability to address customers' requirements amid the growing complexity in AI deployments, with solid market shares in data center thermal and electrical equipment. Meanwhile, Bears are concerned about a slowdown in capital spending by hyperscalers or cloud service providers, volatility in orders, and the impact of tariffs on costs. Is VRT a Good Stock to Buy? Overall, Wall Street has a Strong Buy consensus rating on Vertiv Holdings stock based on 12 Buys and two Hold recommendations. The average VRT stock price target of $116.93 indicates a 7.2% downside risk from current levels.
Yahoo
an hour ago
- Yahoo
Salesforce is using AI for up to 50% of its workload, and its AI product is 93% accurate, says CEO Marc Benioff
Salesforce CEO and founder Marc Benioff said the company now relies on artificial intelligence for 30% to 50% of its entire workload. Coco Gauff and Emma Grede team up to help small businesses I've become an AI vibe coding convert Tech layoffs June 2025: Microsoft, Google, Disney, ZoomInfo join the list of companies said to be shedding jobs The software giant, like many other tech companies in Silicon Valley, including Microsoft and Google, is going all in on the AI boom. 'All of us have to get our head around this idea that AI could do things, that before we were doing, and we can move on to do higher-value work,' Benioff told Bloomberg, including positions like software engineering and customer service. 'It's these agents, these digital laborers, digital employees who are out there doing this work servicing the customers, selling to the customer, marketing to the customer, partnering with me to do the analytics, the marketing, the branding.' Benioff said he even writes his yearly business plan with an AI partner, along with a 'human' Salesforce executive, adding that the company was on track to have one billion of these 'agents' before the end of the year. (Sixty-five percent of companies are now experimenting with AI agents, according to an April KPMG survey.) Benioff also estimated that Salesforce has reached 93% accuracy with the AI product it's selling to customers, including Walt Disney Co., which was developed to carry out tasks such as customer service without human supervision, according to Bloomberg. Benioff added that it's not 'realistic' to reach 100% accuracy, and that other companies are at 'much lower levels because they don't have as much data and metadata.' The software giant was ranked the No. 1 customer relationship management (CRM) software provider in 2025 for the 12th consecutive year by the global market intelligence firm IDC. Salesforce's clients include Apple, Boeing, Amazon, Walmart, and McDonald's, to name a few. According to Bloomberg, AI is ushering in a new era of 'the tiny team.' Gone are the days when Silicon Valley companies rapidly hire as they scale; now tech companies are in a race to the bottom, competing to see who can manage the lowest head count in an effort to cut costs and increase efficiencies. The AI boom comes at a time when many tech companies are slashing jobs, in part to keep up with inflation and increased economic uncertainty, spurred on by the Trump administration's tariffs and conflict with Iran. Salesforce Inc. (NYSE: CRM) was trading up less than 1% on Thursday in midday trading, at the time of this writing. In the company's latest round of earnings for the first quarter, which ended April 30, the company reported revenue of $9.8 billion, up nearly 8% year over year, beating analyst expectations, and it raised guidance 'by $400 million, to $41.3 billion, at the high end of the range.' Earnings per share (EPS) came in at $2.58, topping estimates of $2.55. Benioff said Salesforce has 'built a deeply unified enterprise AI platform—with agents, data, apps, and a metadata platform . . . with Agentforce, Data Cloud, our Customer 360 apps, Tableau, and Slack all built on one trusted, unified foundation, [so] companies of every size can build a digital labor force—boosting productivity, reducing costs, and accelerating growth.' The company had a market capitalization of $257 billion at the time of this writing. Its next earnings report is scheduled for late August. This post originally appeared at to get the Fast Company newsletter:
Forbes
2 hours ago
- Forbes
Yes, You May Lose Your Job To AI. So What Will You Do About It?
The Silicon Valley gospel has been preached from every conference stage: "You won't lose your job to AI, but to someone who learns to use AI." It's a comforting narrative that keeps executives sleeping soundly while their HR departments frantically roll out "AI literacy" programs. But this conventional wisdom misses the fundamental transformation happening right under our noses. Putting the notion of "AI won't take your job" into context. The real disruption isn't about individual workers becoming AI-savvy. It's about the obsolescence of entire job categories as AI becomes exponentially more capable, efficient, and effective at core business functions. The Exponential Reality Check Here's what should terrify you: Today is the worst AI will ever be. Several current AI models have surpassed the average IQ of humans. Most people have an average IQ between 85 and 115. Overall, about 98% of people have a score below 130, with the 2% above that are considered 'very superior'. With the latest versions of OpenAI's o3, Anthropic's Claude 4 Sonnet, and Google's Gemini 2.0 Flash Thinking Experimental all well above average human intelligence scores, we now have genius-level AI. Ranking The Smartest AI Models by IQ Level But that's just the beginning. AI capability is roughly doubling every six months. Let's do the math and be a bit more conservative and assume it doubles every year: I share this just for illustrative purposes. Humans typically think in a linear fashion. It's hard for us to think exponentially. And it's hard to not think this is all 'science fiction' and will happen years in the future. No. This is happening now. This is compound growth in action. When AI can already write better marketing copy than most marketers, analyze data faster than any analyst, and code more efficiently than many developers TODAY - imagine what happens when it's 32 times more capable in just five years. The Job Container Is Breaking For decades, companies have organized human effort into neat packages called "jobs"—performing tasks in predefined roles with specific responsibilities, reporting structures, and compensation bands. This industrial-age framework worked when work was predictable, hierarchical, and required sustained human attention. AI is obliterating this model. When artificial intelligence can write code in minutes, draft legal briefs in seconds, and generate marketing campaigns instantly, traditional job boundaries become arbitrary constraints. Why maintain a "Marketing Manager" role when AI can execute campaigns while a strategic thinker provides direction? Why preserve "Financial Analyst" positions when AI can process datasets that would take humans months to review? Think this is hype? Check out the latest release that dropped this week from HeyGen, an AI-powered video creation platform that allows users to generate videos with AI avatars, text-to-speech, and customizable templates. They just announced this week the HeyGen Video Agent, the first prompt-native creative engine designed to transform a single idea into a complete, publish-ready video asset. Whether that's a TikTok ad, a YouTube hook, a product explainer, or a quickfire UGC clip, the video is created by AI in seconds. The tool looks amazing, and it will surely be compelling to marketers at small companies to large global enterprises. However, this is another nail in the coffin for a creative agency or production company that was providing those services. We're entering the era of agentic content creation where intelligent systems don't just assist with ... More editing, but act on your behalf to create high-quality videos, end to end. Reading Between The Lines: The Amazon Example The companies that survive won't be those that train existing jobholders to use AI tools. They'll be the ones that completely reimagine how work gets done. On June 17th, Amazon CEO Andy Jassy published a memo with "Some thoughts on Generative AI." While highlighting AI's incredible applications across the company, he dropped this bombshell: 'As we roll out more Generative AI and agents, it should change the way our work is done. We will need fewer people doing some of the jobs that are being done today, and more people doing other types of jobs. It's hard to know exactly where this nets out over time, but in the next few years, we expect that this will reduce our total corporate workforce as we get efficiency gains from using AI extensively across the company.' This should be a wake-up call. It's a direct admission that AI will eliminate jobs, and it should terrify anyone doing repetitive or process-driven work. Amazon is just the latest in a number of companies that are signaling what is to come slowly, carefully, and publicly. Sure for now it's mostly tech companies like Duolingo, Klarna, and Shopify that are talking about being 'AI first'. In the case of Shopify, CEO Tobi Lütke told employees that teams must demonstrate why AI cannot fulfill a role before requesting to hire a human. This effectively positions AI as the default option for many tasks. This AI first approach might start in tech, but it won't end there. The Rise of Liquid Labor Forward-thinking organizations are moving beyond "jobs" toward what I call 'Liquid Labor'. In a hybrid human-AI workforce, Liquid Labor is the fluid combinations of human creativity, AI capabilities, and automated processes that adapt in real-time to business needs. Consider Netflix. They don't have traditional "TV Programming Executive" jobs. Instead, they have data scientists, content strategists, and algorithm specialists working in fluid teams that constantly reconfigure based on viewer behavior and market opportunities. This shift challenges everything: OK, this is scary. So What Should I Do? The obvious answer is to upskill yourself and learn how to use all of these AI tools. Are you using not just one model (say ChatGPT), but experiment with multiple models from Claude to Perplexity to CoPilot to Gemini to Grok. They all have their strengths and weaknesses, so learn what works best for you. This is table-stakes, though. Here's a more candid survival guide: Double down on uniquely human capabilities that AI can't replicate (yet): Develop higher-order thinking abilities that allow you to adapt and learn faster than AI can optimize for your replacement, focusing on skills that help you navigate complexity and change rather than specific technical competencies: Become the critical bridge between AI systems and human needs: Forge a unique professional identity: Urgently diversify your income streams and build wealth-generating assets while you still have earning power: Cultivate deep, value-creating relationships as your unique network of human connections becomes one of your most defensible and irreplaceable assets in the AI era: The Time to Act Is Now Most people think they have years to adapt. They're wrong. By the time AI visibly threatens your job, it's already too late. The exponential curve means: The window for repositioning yourself is now, while you still have leverage, income, and options. The transformation from jobs to liquid labor is already here. The choice isn't between learning AI or losing your job. It's between fundamentally reimagining your career or watching it become obsolete. Those who act now - building unique capabilities, creating new value propositions, and positioning themselves at the human-AI interface - won't just survive. They'll thrive in ways we can't yet imagine. Those who wait, believing that disruption is still years away, will discover that no amount of prompt engineering can compete with exponentially improving AI that works 24/7, never gets sick, and improves while you sleep. The question isn't whether this transformation will affect you, but whether you'll adapt fast enough. Now is the time to get AI ready.
