
How China Is Retreating From Private Assets in the US
Welcome to Going Private, Bloomberg's twice-weekly newsletter about private markets and the forces moving capital away from the public eye. Today, we look at Inter Milan's new private debt and the steps asset managers are taking to get private assets to retail investors. But first, how China is retreating from investing in US private markets. If you're not already on our list, sign up here. Have feedback? Email us at goingprivate@bloomberg.net — Isabella Farr
It struck deals with Goldman Sachs. It owned stakes in Blackstone and Morgan Stanley.
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Bloomberg
18 minutes ago
- Bloomberg
China Fails to Capitalize on Europe's Grievances Over US Tariffs
I'm Chris Anstey, an economics editor in Boston. Today we're looking at Europe-China ties. Send us feedback and tips to ecodaily@ And if you aren't yet signed up to receive this newsletter, you can do so here. Fifty years after the European Economic Community (now the European Union) established diplomatic ties with mainland China, relations with Beijing are at an ' inflection point.'


Time Business News
an hour ago
- Time Business News
How Is AI Used in Investment Management?
The world of investment management is changing fast. Nowadays, AI is playing a significant part in the making of decisions, risk management and portfolio building. Big US based companies such as BlackRock, JPMorgan Chase, Goldman Sachs, and Morgan Stanley are making their way. They've already launched their own AI platforms — like BlackRock's Aladdin and JPMorgan's LLM suite — to help make smarter, faster choices. The demand for a reliable FinTech software development company such as Hidden Brains is all-time high. These tools aren't just for big players. More firms are now turning to AI to manage the growing flood of data and stay ahead in the market. In this article, we'll look at how AI is being used in investment management and why it matters for the future. Managing investments today isn't easy. The amount of financial data out there is just too much for people to handle alone. That's where AI is involved. It can swiftly identify patterns, trends and risks that a human might not catch. Data then enables investors to make better, more informed decisions without having to drown in information. AI is already becoming a must-have tool. In 2024, the US AI in the asset management market was valued at $1.65 billion. It's expected to reach a huge $14.17 billion by 2034, growing at a fast pace of 23.99% CAGR over the next decade. Right now, over 90% of US asset managers are already using some form of AI. They even depend on it in areas such as portfolio optimization, risk management and even communications with the clients. In the most basic explanation, AI assists the investment worker to work smart rather than hard. AI isn't just a buzz word in the investment world. It's a tool used in many different ways to make work easier, faster and smarter. From constructing portfolios to identifying risks, AI is supporting companies to be a step ahead in the rate of technology marketplace. Partnering with a FinTech software development company can help you implement artificial intelligence in your asset management solution and make accurate decisions. Let's dive in a little bit more deeply on how AI is being used. A major advantage of AI is that it enhances portfolio management. Artificial intelligence tools are capable of analyzing masses of market data, tendencies, and even the world news to determine the most efficient investment decisions. This is not all speculation, AI employs insights in real time to assist companies in the development of portfolios which compare to various levels of risk and financial objectives. Some companies also work with robo-advisors (Betterment or Wealthfront). The tools save time and limit the number of human errors since they automatically form and tinker investment strategies according to the needs of each client. Another field where AI is leaving a significant impression is risk management. Markets are highly dynamic and they can shift within a second and AI assists in identifying the possible threats before becoming actual issues. AI can be used to analyze past information and current trends by using predictive analytics to alert a firm about potential losses. This allows investment managers to have ample time to change tactics and not to wander into avoidable risks. Artificial intelligence is also useful in real-time monitoring of market fluctuations, thus enabling companies to be ready. When it comes to trading, AI works quicker than any human could possibly do. AI algorithms equipped can understand market signals and historical data to make a smart trade in less than a second. These tools are used to execute trades extremely fast and large in volume, they help companies stay competitive. AI also takes away emotions in trading choices. It is based on facts and trends and not on fear or guesswork that can lead to more accurate results down the line. Preserving investments is as important as increasing investments. AI contributes by monitoring abnormal trends in financial dealings that leads to possible fraud. It can detect suspicious activities in a manner much quicker than conventional systems. AI is equally assisting companies to be current in the compliance regulations. Regulations are repeatedly modified, and with the use of AI tools, updates are tracked so that corporations did not commit a mistake that might result in fines or a court case. It is not only in money management that AI is playing a role since it is also assisting companies get to know their customers better. AI can service clients more personally by observation of their behavioral patterns and preferences. It is easy to see how AI can enhance the experience of clients, whether by providing custom investment advice or, more proactively, by informing them of changes. Clients who can feel understood and supported are more inclined to be loyal to the firm, having the trust. The use of AI in the management of investments is no longer a matter of theory, but it is already being practiced in several of the largest financial establishments. These companies are demonstrating how AI can generate true value both among institutional customers and retail investors. So, what better way to do that than let's take a closer look? The Aladdin investment platform introduced by BlackRock is among the most sophisticated AI-driven investment platforms in the world. Not only BlackRock but other financial institutions use this to monitor risk, portfolio analysis and data-driven investment decisions. Aladdin combines massive amounts of data with machine learning to help investors see potential risks before they happen. It's like having a smart assistant that continuously watches over your investments — quietly, efficiently, and 24/7. JPMorgan Chase has already spent a lot on AI and large language models (LLMs) to improve their approach to trading strategies to customer service. They use AI to analyze market sentiment, predict economic shifts, and even write earnings summaries. The goal? To help their teams — and clients- move faster with better insights. JPMorgan's LLM suite reflects how seriously the bank is taking AI's role in the future of finance. Its Next Best Action platform does not leave behind Morgan Stanley. This AI-assisted working tool enables financial advisors to provide more customized suggestions to their respective customers. When taking into consideration the economic history, aspirations, and even the market transformations of each particular client, the platform can presuppose what an advisor should discuss or present next, which makes the experience seem much more natural and initiative-oriented. Artificial intelligence is rapidly transforming to be a game-changer in investment management. Whether it implies smarter and faster decision-making in companies such as BlackRock and JPMorgan or the possibility to provide common investors with access to automated robots (robo-advisors), AI is not only the future, but the present as well. The rapid adoption of AI in financial institutions, such as banks, is significantly impacting the overall industry and transforming the nature of their business. The technology is only getting bigger; hence, even more personalized, data-led, and efficient investment strategies can be anticipated just about everywhere. TIME BUSINESS NEWS


Forbes
an hour ago
- Forbes
Coal Isn't Dead Yet: Global Trends Defy Climate Pledges
WASHINGTON, DC - APRIL 08: U.S. President Donald Trump speaks alongside coal and energy ... More workers during an executive order signing ceremony in the East Room of the White House on April 08, 2025 in Washington, DC. The Trump administration has elected to roll back Biden-era environmental policies with the intention to help revive coal-fired power plants. (Photo by) Despite years of climate summits and net-zero targets, global coal consumption and production both hit record highs in 2024. According to the newly released 2025 Statistical Review of World Energy, global coal demand reached an all-time high of 165.1 exajoules (EJ), a powerful reminder of how deeply the world still relies on this carbon-intensive fuel. The Asia-Pacific Powerhouse At the heart of coal's resilience is Asia. China alone accounted for a staggering 56% of global coal consumption last year, burning through 92.2 EJ. That's an increase of nearly 17% since 2017, despite repeated predictions that China had already passed 'peak coal.' The reality is that coal remains the backbone of China's electricity system, industrial activity, and energy security strategy. India, too, has doubled down on coal. Consumption there climbed to 21.8 EJ, up nearly 45% from a decade earlier. A combination of rising electricity demand, a lack of natural gas infrastructure, and favorable government policies continues to drive growth. The broader Asia-Pacific region tells a similar story. Nations like Indonesia, Vietnam, and Bangladesh are rapidly expanding coal use as they build out electricity grids and industrial capacity. For these countries, coal remains cheap, reliable, and—in many cases—domestically abundant. While wealthier nations are pushing renewables, many developing economies simply can't afford the transition at the same pace. Decline Elsewhere—But Not Enough Coal use continues to fall across much of the OECD. Europe, for example, saw consumption drop to 10 EJ in 2024, continuing a steady downward trend even amid energy security concerns following Russia's invasion of Ukraine. There were some short-lived spikes in places like Germany and Poland, but the overall direction remains lower. Coal Consumption 1965-2024. In the U.S., coal use came in at 9.9 EJ—well below historical highs but showing a small post-COVID rebound. America's power sector has largely shifted to natural gas and renewables, and the long-term trajectory remains downward. Yet these declines aren't enough to offset growth in the developing world. Non-OECD countries now account for about 71% of global coal consumption, up from 63% just a decade ago. The energy divide is widening, and it has significant implications for both climate policy and resource security. Production Keeps Pace—For Now Coal production also surged in 2024, hitting a new global record of 182 EJ. China again leads the way, producing more than half the world's coal—94 EJ in total. India continued its rapid expansion, more than doubling its output since 2006. Indonesia, too, has nearly quadrupled production over that period, largely to meet export demand from Asia. In contrast, the U.S. and Russia hold massive coal reserves but have adopted more cautious production strategies. The U.S. produced 23 EJ in 2024, about 12% of the global total. Russia has plateaued around 9.2 EJ, in part due to sanctions and shifting market dynamics. Non-OECD countries now supply over 60% of global coal output, up from 45% in 2006. This underscores a broader trend: the coal economy is increasingly centered in the Global South, where energy demand is still growing rapidly and alternative infrastructure is limited. A Word on Reserves An important context is that the world still has plenty of coal. The U.S. has the largest proven reserves, with a reserves-to-production (R/P) ratio exceeding 500 years. Russia, Australia, and India also boast deep reserves, although China's are being depleted far more quickly—its R/P ratio is just 37 years. Still, not all reserves are created equally. Countries like Germany and Poland have large deposits of lignite, which is less energy-dense and more polluting than higher-grade coals. Meanwhile, nations like Indonesia and Australia hold coal that is more export-friendly, giving them an edge in global markets. The Infrastructure Trap Part of what keeps coal in play is infrastructure inertia. Across Asia, decades of investment in coal plants, rail networks, and ports have created a system that's hard to unwind. Coal provides steady baseload power in a way that intermittent renewables currently can't—especially in places where battery storage and LNG terminals are lacking. Governments are responding to surging demand with a mix of pragmatism and contradiction. China and India are investing heavily in renewables, but they're also approving new coal projects to avoid blackouts. Subsidies and favorable mining policies persist, even as leaders make high-profile climate pledges. Final Thoughts Global coal use isn't going away any time soon. To the contrary, global coal consumption still growing. The world's wealthiest nations are moving away from it, but the momentum in Asia and the Global South is more than enough to offset those declines. For better or worse, coal remains a pillar of global energy—driven by affordability, energy security, and infrastructure lock-in. The challenge for policymakers is to reconcile this reality with climate goals. Until the world finds scalable, affordable alternatives for baseload power in emerging economies, coal will continue to thrive. And that makes bridging the gap between ambition and reality more important—and more difficult—than ever.