High market concentration may not be irrational. The scale of investment needed to compete in AI rules out smaller companies. But even if it’s rational, it’s a risk for investors. source: Goldman Sachs #AI #S&P500
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💡 AI in Finance: The Future is Already Here Artificial Intelligence is transforming the finance and investment landscape faster than ever before. From algorithmic trading and risk management to portfolio optimization and customer analytics, AI is enabling professionals to make faster, smarter, and more informed decisions. What makes this evolution remarkable is not just automation — it’s augmentation. AI isn’t replacing financial expertise; it’s enhancing it. By combining data-driven insights with human judgment, finance professionals can focus more on strategy, innovation, and value creation. As we step into this new era, the key is to adapt, learn, and lead with AI — those who understand how to apply it ethically and intelligently will define the next generation of financial leadership. 💬 How do you see AI reshaping the future of finance and investment? Let’s connect and share perspectives. #AI #Finance #Investment #Innovation #FutureOfWork #FinTech #DigitalTransformation
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"Is the AI investment frenzy a ticking time bomb? Goldman Sachs CEO warns of potential market correction ahead. #AI #investing #marketcorrection #GoldmanSachs Demand Nexus" https://lnkd.in/dWqMnSkk
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Investors need to stop fearing AI bias, especially when human bias has already done far more damage. Every investor talks about managing risk, but almost no one talks about managing themselves. Cognitive bias is the invisible hand steering billions of dollars in the wrong direction. I’ve seen it personally. A partner hungry for action pushes a deal through because the fund has been quiet. A team, still bitter from losing a competitive process, rushes into a similar deal out of revenge. An analyst ignores red flags because the investment “fits the thesis.” That is emotion disguised as logic and it makes no sense. We all like to believe we are data-driven, but most investment decisions are filtered through psychology first and numbers second. The result is predictable: great deals die early, and bad ones survive long enough to become case studies in denial. The most expensive mistakes in private markets aren’t made in models. They're made in minds. This is where structure and technology matter. When you standardize the top of your funnel and introduce AI systems that evaluate opportunities on defined parameters, you strip out the emotional noise. You force every deal to be judged on consistent data, not subjective conviction. The irony is that AI, when used responsibly, can make humans more rational. And that is the ultimate competitive advantage. #AI #VC #PE
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Peter Xing session on risk-based allocation in a post-AGI world was a wake-up call. Ashley Anthony reminded us to optimise our own lives and make every moment count. If AI can help us live better, it can help us invest smarter. For investment teams, AI can process vast global data in real time to spot patterns and opportunities before markets react. This made me think about my discussion with Vincent Anthonyrajah on how AI is a crucial piece for that never ending search for alpha. For financial advisors, it can summarise client portfolios, surface insights, and suggest personalised actions that strengthen relationships and deepen advice. Can you imagine a world where AI can work with financial advisors to build a truly bespoke financial plan for their clients? There are advisors actively pushing the frontier, like Barry Matthew CFP® who spoke to me about using all investment tools available to meet the need of investors in an ever changing environment. The message is clear. AI is not just giving us profit and efficiency, its giving us time. How will we utilize it? #Singularity #AI #mutualitesatsusa #FutureOfWork #Innovation #oldmutualsa
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Your company's proprietary data is becoming an asset class as valuable as physical capital. Fragmented data from legacy systems limits competitiveness. CFOs must treat data as a strategic investment that requires stewardship and protection. Read more 👉 https://lttr.ai/Ajv9K #AI #ArtificialIntelligence #Growth #GrowthStrategy #BusinessStrategy #FutureOfWork
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The AI revolution has transformed markets — but the valuation gap between promise and profit is widening. ⚙️💰 Investors are pouring billions into infrastructure and models, yet the real returns remain uncertain. Is this genuine innovation… or a new systemic risk forming under the surface? 👀 #AI #Finance #Investing #TechBubble #Innovation #WallStreet #StockMarket #MacroTrends #Technology #RiskManagement
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Over the past three months of tracking my first stock, I’ve been keeping up to date with my investments like anyone else — watching Bloomberg and reading articles from countless outlets 📊. Recently, I came across a CFA Institute Research & Policy Center report that found AI is increasingly being used in risk assessment, portfolio construction, and asset allocation. The tradeoff, however, lies in how well AI can explain or “translate” its decisions to human investors. For those constantly anxious about their investments, AI might help analyse patterns, trends, and risks more efficiently 🤖. Still, it’s important to remember that this technology is evolving — and it’s not a replacement for understanding the market yourself. AI in finance isn’t just a buzzword anymore; it’s shaping how we invest and think about money. The key is learning how to use it responsibly. #AIinFinance #MachineLearning #StockMarket
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Everyone’s asking whether AI will replace fund managers. They’re asking the wrong question. The right one is: how will it redefine them? The role of a GP used to revolve around: → Building relationships. → Exercising judgment. → Raising the next fund. That’s changing. Now, it’s relationship + judgment + data leverage. The best managers today still rely on trust and intuition, but they’re adding a new dimension: data leverage. AI won’t necessarily make the investment call, but it will make the context visible. It will surface the right LPs, identify alignment, track signals, and compress the time from decision to action. In private markets, speed builds trust. The managers who pair human conviction with machine precision will win the next cycle. That’s the evolution we’re designing for at @Vessel: a world where GPs can act with precision.
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Sovereign wealth funds' participation in AI dealmaking is growing, which means there are hundreds of billions of dollars waiting to be deployed. This is not even including the $1 trillion in dry powder (undeployed capital) private market players are holding onto at the moment. As will be revealed in my upcoming report, geopolitical competition and multipolarity will play a huge role in cross-border funding. If the labor market in the US continues to weaken with the Fed focusing on job creation - or loss - rather than inflation, that will turbocharge deal making activity in both volume and value in AI. It will also magnify what I believe will be the next, multi-year super cycle...the name of which will be revealed in the coming days. Stay tuned: this will be the biggest, most comprehensive report I have ever authored.
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