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CNBC
an hour ago
- CNBC
CCTV Script 24/07/25
The Trump administration's newly released "AI Action Plan" marks a clear policy shift compared to the previous Biden administration. The Trump government advocates for loosening regulations, accelerating the construction of data centers, and supporting the export of AI technologies. Analysts point out that tech companies like OpenAI and Microsoft are clear beneficiaries of this plan. According to the latest guidelines, federal agencies are instructed to remove any regulatory barriers hindering AI development. Additionally, when allocating federal funding, they will consider whether state-level regulations are unfavorable to AI. The U.S. tech industry has been working to build closer ties with the Trump administration. Over the past few months, several companies have announced investments exceeding $1.5 trillion in data centers and manufacturing sectors. According to the U.S. nonprofit organization Issue One, eight American tech companies, including OpenAI, Meta, and NVIDIA, spent a total of $36 million on federal lobbying in the first half of this year. Critics have raised concerns about this lobbying influence. For instance, the executive director of the U.S. nonprofit "Tech Oversight Project" argued that the White House's AI plan seems like it simply rubber-stamped recommendations from big tech CEOs, turning them into official government documents. However, it's important to note that implementing these plans faces significant real-world challenges. Brooke, Vice President of the Atlantic Council, highlighted execution challenges. He questioned whether, given the widespread budget cuts and staff shortages in the federal government, there are sufficient expertise and financial resources to fulfill the commitments and goals outlined in the AI Action Plan. Additionally, experts have pointed out difficulties in energy planning. A former White House Chief Information Officer told CNBC that the government faces tough choices: on one hand, it must ensure stable power supply for data centers handling critical government or corporate tasks; on the other hand, these data centers are often located near residential areas and schools, which complicates planning. "...now you're thinking about, well, who gets powered today? Is it a residential neighborhood? Is it the schools, or is it this data center?... it's really a balancing act on a tightrope." Finally, legal experts have raised concerns about the "AI Action Plan," focusing on two key issues: the unresolved copyright disputes and the vague definition of "ideological bias." Currently, U.S. media and entertainment companies have filed dozens of lawsuits regarding whether tech companies can use copyrighted content to train AI models. The Trump administration has yet to make a clear statement on this issue. What Trump has explicitly stated, however, is his demand for AI models to maintain ideological neutrality. However, Professor Little from the University of California, San Francisco, pointed out that the U.S. government's definition of ideology remains unclear.
Yahoo
an hour ago
- Yahoo
XRP Price Crashes 10%; Focus on Bitcoin-Yen's 'Descending Triangle' as Fed Rate Cut Bets Rise
BTC/JPY: Focus on descending triangle Bitcoin's (BTC) dollar-denominated price continues to fluctuate below $120,000, hovering around major intraday moving averages, which provides little directional clarity. Hence, we are focusing on bitFlyer's BTC/JPY pair, which displays a well-defined descending triangle at record highs, making it easier to analyze the trend. Usually, the descending triangle is viewed as a bearish pattern. Its downward-sloping upper trendline, representing lower highs, indicates that sellers are progressively gaining strength. And hence, an eventual decisive breach of the horizontal support line is said to confirm a bearish trend reversal. In the case of BTC/JPY, the horizontal support is identified at 17,160,000 JPY ($117,000). A move below that would strengthen the bear grip, shifting focus to the rising trendline support. Conversely, a breakout from the triangle will likely bring new lifetime highs. The bullish case looks possible as traders are increasingly expecting more Fed rate cuts for 2026. Interest rate futures data show that traders are now pricing roughly 76 basis points of rate reductions for next year, up from 25 basis points priced in April. Furthermore, the rising yields at the long end of the U.S. government bond market and those in other advanced nations point to expectations of continued fiscal support for economy and markets. The outlook for yen against the dollar appears constructive, as the spread between 30-year U.S.-Japan bond yields has dropped to the lowest since August 2022, signaling JPY strength. A yen rally could lead to a bout of broad-based risk aversion, potentially capping gains in risk assets, including BTC. AI's take: BTC/JPY is consolidating within a descending triangle, raising immediate concerns for the pair despite the overarching bullish trendline from June. While rising Fed rate cut bets generally favor Bitcoin (in USD terms), the strengthening JPY due to the US-Japan 30-year yield differential could cap BTC/JPY gains or exacerbate a breakdown from the triangle Resistance: $120,000, $121,181. Support: $116,000, $115,739, $111,965. XRP: Focus on 38.2% fib retracement XRP (XRP) has crashed over 10% in the past 24 hours, consistent with bearish signals from the price chart early Wednesday. The price sell-off found support at around $2.99 early Thursday, which corresponds to the 38.2% Fibonacci retracement of the significant rally from $1.9. However, the subsequent recovery to $3.10 may not have legs as momentum, represented by the Guppy multiple moving average indicator, has flipped bearish. Further, both the Guppy averages and prices are now decisively in the bearish territory below the Ichimoku cloud. Therefore, a re-test of $2.99 appears likely, which, if it fails to hold, could lead to prices sliding to $2.57, the 61.8% Fibonacci retracement. On the higher side, a move above $3.35 is needed to invalidate the bearish bias. AI's take: The key takeaway from the XRP chart is that the dual breakdown of both its previous uptrend and sideways channel signals a confirmed bearish shift in momentum. Resistance: $3.35, 3.65, $4 Support: $2.99, $2.65, $2.57 Ether: Moves lower through a descending channel Ether (ETH) continues to print lower highs and lower lows on the hourly chart, establishing a downward-trending channel. The 50- and 100-hour SMAs have produced a bearish crossover and the 200-hour SMA is fast losing its bullish slope. In addition, prices have established a foothold below the Ichimoku cloud. All things favor a continued slow and steady descent. Only a move above $3,740, which would take prices back above the cloud, would revive the immediate bullish outlook. AI's take: Traders should eye the 200-hour SMA as crucial support; a break below it could signal an extended downtrend. Resistance: $3,740, $4,000, $4,109. Support: $3,593 (the 200-hour SMA), $3,480, $3,081. Solana: Ether-like moves SOL's (SOL) hourly chart resembles ether's, with prices moving through a downward-sloping channel, having established a foothold below the Ichimoku cloud. In addition, the Guppy indicator is now positioned decisively bearish. The immediate bias remains bearish as long as prices remain below the lower high of $192. AI's take: Recovery rallies within this channel could meet resistance at the channel's upper boundary and the underside of the cloud, indicating continued bearish pressure. Resistance: $192, $200, $218. Support: $179 (daily low), $163 (the 200-day SMA), $ 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
2 hours ago
- Yahoo
Enterprises That Fall Behind in AI Race Risk $87 Million Annual Loss, Couchbase Survey Reveals
70% Admit 'Incomplete' Understanding of AI Data Requirements While 21% Have 'Insufficient' or 'Zero' AI Control SANTA CLARA, Calif., July 23, 2025 /PRNewswire/ -- Couchbase, Inc. (NASDAQ: BASE), the developer data platform for critical applications in our AI world, today released the findings from its eighth consecutive survey of global IT leaders. The study of 800 senior IT decision-makers from enterprises with 1,000 or more employees, in sectors from finance to healthcare to gaming and more, found that businesses unable to effectively use AI in a timely manner could lose on average 8.6% of their revenue per month. Within our sample, that equates to an average annual loss of almost $87 million per company. A significant number of enterprises are at risk: 21% admit to having "zero" or "insufficient" control over AI use, allowing employees too much or too limited access to tools and increasing risk, while 64% are concerned that they are not taking advantage of AI as quickly as they could be due to "decision paralysis." The stakes are high, with 78% of respondents believing early AI adopters will become industry leaders and 73% reporting AI is already transforming their technology environment. Investment reflects this urgency: AI spend on technologies including GenAI, agentic AI and other forms of AI will surge by 51% in 2025 to 2026, compared to 35% growth in overall digital modernization. It will account for more than half of all digital modernization spend. Enterprises with control over their AI, and most importantly the data behind it, will be best positioned to capitalize on AI. "The evolution from GenAI to agentic AI is creating vast opportunities for enterprises that can harness these technologies effectively," said Julie Irish, Chief Information Officer at Couchbase. "Creating and operating innovative AI applications at scale is essential for successful enterprises. The right data strategy, including methods to ensure high data quality, scalability and accessibility, is more important than ever to ensure companies unlock the value of AI." Key findings include: Falling behind the AI wave has significant consequences: 99% of enterprises have encountered issues that disrupted AI projects or prevented them outright, including problems accessing or managing the required data; perception that the risk of failure had become too high; and an inability to stay on budget. These issues had real consequences, eating up 17% of AI investment and setting strategic goals back by six months on average. Closing the data understanding gap is key to control: 70% of enterprises admit their understanding of the data (e.g., the quality and real-time accessibility of data) needed to power AI is "incomplete," contributing to 62% not fully understanding where they are at risk from AI (e.g., through security or data management issues). Conversely, those with greater understanding are more confident, and are 33% more likely to be prepared for agentic AI. Data architecture is evolving and requires consolidation: The right data architecture is crucial for AI. Yet enterprises say their current architecture has an average lifespan of 18 months before it can no longer support in-house AI applications. 75% of enterprises have a multi-database architecture, which makes it more difficult to ensure accurate, consistent AI output; 61% do not have the tools to prevent proprietary data from being shared externally, which increases security and compliance risks; and 84% lack the ability to store, manage and index high-dimensional vector data needed for efficient AI use. To address these challenges, all surveyed enterprises are consolidating and simplifying their AI technology stacks to make controlling AI easier and more efficient. Encouraging experimentation contributes to AI success: Corporate attitudes about AI have a notable impact on its success. Enterprises that encourage AI experimentation have 10% more AI projects enter production and incur 13% less wasted AI spend than enterprises with a more restrictive approach. New developments in AI are rapidly reaching parity: The proportion of AI spend on agentic AI (30% of total), GenAI (35%) and other forms of AI (35%) is almost even, despite agentic AI and GenAI being much newer concepts. This suggests enterprises are investing heavily in keeping up with AI development as 66% worry that AI and different approaches to AI are evolving faster than their organizations can keep pace. Inability to keep up with AI increases risk of being replaced: Enterprises recognize AI's potential for disruption, allowing smaller organizations with a better grasp of the technology to replace larger, less agile competitors. More than half (59%) of IT leaders are concerned that their organizations risk being replaced by smaller competitors, yet at the same time 79% believe they can do the same and displace their larger competition. "The data reveals both tremendous opportunities and significant risks presented by AI," continued Irish. "While 73% of CIOs are excited about AI's potential and feel compelled to use it more, the enterprises that master their data will be the ones that truly capitalize. The key is having robust controls in place and an architecture that suits enterprises' purposes. When enterprises build the right foundation to support critical applications containing AI workflows, and target use cases with a clear ROI, CIOs will be best positioned to turn AI into a genuine competitive advantage." "A modern developer data platform is essential for enterprise AI success," added Matt McDonough, SVP of product at Couchbase. "With capabilities like vector search, integrated AI Services and support for agentic AI development, Couchbase empowers customers to develop agentic systems and applications at scale, while delivering compelling price-performance. By supporting the management of all data types involved in AI interactions, our platform helps enterprises unify AI, operational, analytical, vector and mobile workloads into a single, multipurpose architecture. This holistic approach not only enhances data visibility, control and protection, but also gives developers the tools they need to innovate with the next wave of AI technologies." Additional Resources To download the full report, click here. To download the graphic that highlights key findings from the report, click here. To learn more about how organizations can fully realize the potential of agents, click here. To learn more about how Couchbase empowers customers to develop agentic systems and AI applications, click here. MethodologyCouchbase commissioned an online survey, conducted in April 2025 by Coleman Parkes ( an independent market research organization. 800 senior IT decision-makers, such as CIOs, CDOs and CTOs, in organizations with 1,000 employees or more in the U.S., U.K., France, Germany, Turkey, Japan, India, Australia and Singapore, were surveyed. About CouchbaseAs industries race to embrace AI, traditional database solutions fall short of rising demands for versatility, performance and affordability. Couchbase is seizing the opportunity to lead with Capella, the developer data platform architected for critical applications in our AI world. By uniting transactional, analytical, mobile and AI workloads into a seamless, fully managed solution, Couchbase empowers developers and enterprises to build and scale applications and AI agents with confidence – delivering exceptional performance, scalability and cost-efficiency from cloud to edge and everything in between. Couchbase enables organizations to unlock innovation, accelerate AI transformation and redefine customer experiences wherever they happen. Discover why Couchbase is the foundation of critical everyday applications by visiting and following us on LinkedIn and X. Couchbase®, the Couchbase logo and the names and marks associated with Couchbase's products are trademarks of Couchbase, Inc. All other trademarks are the property of their respective owners. View original content to download multimedia: SOURCE Couchbase, Inc. 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
