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What makes it compelling is its real-world focus. The hosts talk to leaders from organisations like Nasa and Shopify who openly share their AI journeys - complete with missteps, breakthroughs and lessons learnt. These stories highlight how the right mindset and willingness to adapt can turn emerging tech into tangible results.
A standout episode Reskilling the Workforce With AI: Harvard Business School's Raffaella Sadun features HBS' Sadun, who unpacks how AI is reshaping workforce dynamics and pushing the boundaries of team collaboration. Her research shows how AI can speed up problem-solving and, at times, replace traditional team structures entirely, without sacrificing quality or innovation. Whether you're in tech, strategy, or just curious about AI's impact on work, this podcast delivers smart, practical insights in every episode.
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Time of India
an hour ago
- Time of India
Beyond hype, AI becoming workplace reality for white-, blue-collar workers: Study
Academy Empower your mind, elevate your skills Artificial intelligence (AI) has moved beyond hype and entered workplace reality, with 34% of professionals across both white- and blue-collar roles expecting to use generative AI (GenAI) tools frequently in the near future, according to a workforce study by jobs portal Indeed According to 'The Work Ahead' report by Indeed, two in 10 blue-collar workers are already using GenAI at work.A quarter of the respondents from a sample of more than 3,000 white- and blue-collar workers across India are already anticipating the adoption of agentic AI tools and systems that can automate complex tasks, the report the sample, 43% feel confident about the technologies they expect to use in the next two to five years. The report further highlighted that nearly 49% of mid-career professionals aged 35 to 54 outpaced younger peers aged 18 to 24 in AI adoption and staying confident while navigating AI-integrated workplaces.'There's a determined confidence building across India's workforce,' said Sashi Kumar, head of Sales, Indeed India. 'The rise in interest around agentic AI signals that we are at the beginning of a transformation, one where job seekers are not just responding to change but leading it.'Additionally, 56% of mid-career professionals emphasised training and skill enhancement compared to just 41% of their younger counterparts for them to adapt to changing workflows. Notably, nearly one-third of workers expressed concern about job security if they couldn't keep up with technological leaders had anticipated greater adoption of AI agents alongside a greater 'co-mingling' between humans and machines.
Time of India
2 hours ago
- Time of India
"AI will not cause mass unemployment, it is here to augment workers" says Salesforce CEO: Here's what professionals need to learn to stay afloat
Ever since artificial intelligence has made a grand entry into the corporate world, it has met with applause and raised eyebrows. To some, it feels like a manifestation of science fiction; to others, it is a slow decaying of human purpose. Its arrival has coincided with mass layoffs and job descriptions. Numerous job profiles are standing at the precipice of extinction. But is AI truly the lone culprit in the upheaval, or is there a deeper narrative that waits to be dug out? AI has religiously dominated the headlines, touted as a revolutionary force one moment, and condemned as a job killer the next. Love it or loathe it, the reality remains unchanged: AI is no longer on the horizon; it has already reserved its seats in corporates. And with it comes the inevitable question: What becomes of the human workforce? This question has sparked a relentless tug of war between dystopian fears and technological optimism. Into this arena steps Marc Benioff, the CEO of Salesforce, a figure renowned for both his trailblazing leadership and unfiltered candor. When asked by Fortune about AI's role in workforce disruption, Benioff offered a response that cut through the noise: 'I keep looking around, talking to CEOs, asking: what AI are they using for these big layoffs?' Benioff insisted that AI is not a destroyer, but a collaborator. He said, 'I think AI augments people, but I don't know if it necessarily replaces them.' In a world that has already bid adieu to traditional jobs, Benioff is putting weight on the need for 'human element.' "AI might not replace humans completely": Why Benioff believes so Salesforce itself has automated up to 50% of its internal work using AI agents. Around 85% of the customer support tasks are being handled by intelligent systems. Nonetheless, AI is outpacing humans by about 40%. These numbers are staggering, but to Benioff, they're not about headcount reductions; they're about human-machine partnership. 'I keep looking around, talking to CEOs, asking: what AI are they using for these big layoffs?' he said. 'I think AI augments people, but I don't know if it necessarily replaces them.' The distinction is crucial and timely. AI is increasingly embedded in workflows, but full automation remains elusive. Why? Because accuracy isn't perfect, and context still matters. The demarcation is pivotal and timely. AI may be faster, but it lacks precision and critical thinking. Robots don't come with judgment, and context continues to be the irreplaceable domain of human intelligence. The rise of the AI collaborator Rather than a tool of replacement, AI at Salesforce is treated as an intellectual partner. Benioff personally uses it to review business strategies, stress-test assumptions, and find gaps invisible to the naked eye. But even with that utility, there's a line AI can't cross. 'Every AI needs its own fact checker, and those fact checkers are humans, not AIs, because AIs can't fact-check because they don't have that level of accuracy.' This statement carries a message for the professional; it is high time to hone multiple skills to survive the job market. It highlights a workforce mandate that professionals are no longer just doers; they are validators, interpreters, and strategic decision-makers. The robots are taking over the routine and mundane tasks. While humans have to step up as the decision makers. Human judgment, especially in the age of AI, is not optional, but mandatory. Big layoffs or bigger opportunity? Like every other invention, artificial intelligence comes with its own share of apprehensions and awe. While the majority of the working professionals have a question etched in their minds: Can AI replace me? There are various speculations erupting on the forefront. Benioff's comments have led to a silver lining in the dark. 'There's going to potentially be a lot more employment because everybody is augmented and has the ability to do more. I think there's going to be an explosion of small and medium businesses because they can do more, it's easier to start one, and you can create value more easily.' This future isn't just for the tech elite. With AI tools lowering entry barriers, think automated marketing, no-code platforms, and generative design, anyone with an idea can now build at scale. That means more founders, more freelancers, more niche service providers, and a reshaped economy where value is generated not by bigness, but by boldness. Ironically, even as Salesforce freezes hiring in traditional roles like engineering and legal, it continues hiring customer success managers and salespeople, not to build AI, but to help clients adopt it. The message? Those who can teach others how to work with AI are perhaps the most valuable of all. So, what can professionals do now? If Benioff's AI optimism holds, the path forward isn't to fight the machines, it's to co-evolve with them. But that transition requires action. Here's how today's workers can begin: Master the tools, not just the tasks : Get comfortable with AI interfaces, experiment with tools relevant to your industry, and understand what they can and can't do. Develop prompt intelligence : Knowing how to ask the right questions of AI will soon be more valuable than knowing how to answer them. Shift from execution to evaluation : Become the human in the loop. Learn how to detect errors, question outputs, and apply judgment that AI lacks. Invest in soft skills : Empathy, storytelling, ethics, and creativity. These are the new power skills in an automated world. Think like an entrepreneur : With AI reducing overheads, there's never been a better time to test a business idea or launch a side hustle. Ready to navigate global policies? Secure your overseas future. Get expert guidance now!
Economic Times
3 hours ago
- Economic Times
Palantir keeps sinking, 12% off highs — is PLTR's fifth straight loss an AI test or the first crack?
Palantir stock is sliding again, down 12% from recent highs, as investors question whether the AI rally is starting to crack. Palantir stock is sliding again, down 12% from recent highs after five straight sessions of losses. The latest retreat comes even after the company delivered a blockbuster Q2 2025 earnings report that beat both revenue and profit expectations. On Tuesday, Palantir Technologies Inc. (NASDAQ: PLTR) fell 6.2% to close at $163.23, leaving traders torn between optimism over its AI growth story and anxiety over whether the stock has run too far, too fast. The paradox is striking. Palantir reported $1.004 billion in Q2 revenue, ahead of Wall Street's $987 million forecast, with earnings per share of $0.16 versus $0.14 expected. Growth was broad-based, spanning both government contracts and commercial clients. CEO Alex Karp was quick to highlight the milestone, saying skeptics had been 'bent into a kind of submission.' ALSO READ: VKTX stock tumbles 29% today — Viking Therapeutics weight-loss trial results fuel massive investor sell-off and market jitters Yet the stock market didn't cheer. Instead, Palantir shares extended their decline. Why? Because investors are wrestling with lofty valuations, AI hype fatigue, and concentration risk. Valuations at extremes: Palantir trades at forward price-to-sales multiples ranging from 80x to 155x , and a forward P/E that some analysts put as high as 700x . Those levels leave little margin for disappointment. Palantir trades at forward price-to-sales multiples ranging from , and a forward P/E that some analysts put as high as . Those levels leave little margin for disappointment. Dependence on government deals: More than half of revenue still comes from government contracts. While this ensures stability, it also exposes Palantir to policy shifts, regulatory changes, and geopolitical events. More than half of revenue still comes from government contracts. While this ensures stability, it also exposes Palantir to policy shifts, regulatory changes, and geopolitical events. AI hype vs. fundamentals: Investors increasingly wonder if Palantir's rally — up more than 140% in 2025 before this pullback — has been fueled more by excitement around AI than by sustainable earnings growth. Citron Research's Andrew Left has been one of the most vocal critics. He argues Palantir's story is 'overhyped' and that its valuation pales compared to true AI leaders like OpenAI. Citron has warned of a potential 50–66% correction, even while acknowledging the company's operational strength. That kind of commentary, combined with profit-taking after months of gains, has added selling pressure. Beyond Palantir's own story, macro forces are playing a role. Investors are closely watching the Federal Reserve's tone ahead of the Jackson Hole symposium, alongside rising volatility across tech. Palantir's streak of five consecutive daily losses has dragged it back from its record highs, showing just how fragile sentiment can be when valuations stretch. Palantir reported $1.004 billion in revenue for Q2, beating analyst expectations of $987 million. EPS came in at $0.16 versus the forecast of $0.14, and growth was strong across both government and commercial segments. CEO Alex Karp hailed the results, noting that skeptics 'have been bent into a kind of submission.' Yet, while financial performance is solid, over 50% of Palantir's revenue still comes from government contracts, highlighting both stability and concentration risk. Analysts caution that any disruption in government spending, regulatory changes, or geopolitical events could have an outsized impact on earnings. Current Price: $162.73 USD $162.73 USD Change: −$11.30 (−6.49%) −$11.30 (−6.49%) Day Range: $161.16 – $173.40 $161.16 – $173.40 Opening Price: $171.36 $171.36 Volume Traded: ~47 million shares ~47 million shares Market Cap: Approximately $387.9 billion Approximately $387.9 billion P/E Ratio: 535.76 535.76 52-Week Range: $29.31 – $189.46 $29.31 – $189.46 Previous Close: $174.03 Palantir's stock has rallied over 140% in 2025, yet its multiples are staggering. Depending on the source, the price-to-sales ratio ranges from 80x to 155x, while the forward P/E spans 290x to 700x. Short-seller Andrew Left of Citron Research emphasizes that these levels are exceptionally high, even in a bullish market. 'The market has overhyped Palantir's AI story,' Left notes, suggesting the company's true valuation pales in comparison to a pure AI leader like OpenAI. Extreme valuations like these leave little margin for error and make the stock vulnerable to sharp corrections if market sentiment shifts. Palantir has positioned itself as a major player in AI-driven analytics, attracting attention in a sector flush with excitement. But analysts warn that expectations may be outpacing reality. Citron Research, for instance, suggests a potential correction of 50–66% despite Palantir's strong fundamentals. The concern is that much of the stock's momentum is driven more by AI hype than sustainable earnings growth, leaving investors exposed if optimism fades. Beyond company-specific concerns, Palantir is being buffeted by broader market dynamics. The stock has slid for multiple sessions, extending a five-day decline despite holding above recent breakout levels. Investors are monitoring macro triggers such as the Fed's Jackson Hole remarks and rising market volatility. Meanwhile, profit-taking and short-seller commentary have added pressure. Some traders are wary that Palantir's recent surge may be peaking, while others see it as a potential entry point for long-term growth in AI. Palantir's situation illustrates the delicate balance between innovation-driven growth and valuation risk. Key takeaways include: Valuation caution: Extremely high P/S and P/E multiples suggest limited room for disappointment. Extremely high P/S and P/E multiples suggest limited room for disappointment. AI potential: Palantir's AI capabilities are real, but the market may be pricing in perfection. Palantir's AI capabilities are real, but the market may be pricing in perfection. Revenue concentration: Heavy reliance on government contracts brings stability but also concentration risk. Heavy reliance on government contracts brings stability but also concentration risk. Market forces: Macro uncertainty, profit-taking, and short-seller activity are influencing near-term price moves. Investors must weigh the company's undeniable strengths—strong revenue growth, AI innovation, and commercial expansion—against the equally undeniable risks of overvaluation and hype-driven sentiment. Q1: Why is Palantir stock dropping today? A1: Palantir stock is falling due to AI hype, sky-high valuations, and investor caution over government contract reliance. Q2: Is Palantir a good investment now? A2: Palantir shows strong Q2 growth, but high valuations and market uncertainty make it risky for new investors.
