According to @CNBC, Bernie Sanders and Ron DeSantis spoke out against the AI data center boom, and CNBC described this as a bad sign for the AI industry, source: CNBC tweet on Jan 1, 2026. According to @CNBC, this headline frames a negative signal for companies reliant on rapid AI data center expansion, which traders may treat as adverse sector sentiment as characterized by CNBC, source: CNBC tweet on Jan 1, 2026. According to @CNBC, the post did not reference cryptocurrency markets or tokens, source: CNBC tweet on Jan 1, 2026.

According to @CNBC, Alphabet (GOOGL, GOOG) was the big AI winner of the year, highlighting the company’s prominence among AI-linked megacap stocks for traders tracking momentum and sector leadership. Source: @CNBC. According to @CNBC, the report explains how Alphabet’s stock could also have a great 2026, flagging a constructive forward outlook that market participants may evaluate when positioning around AI equity exposure. Source: @CNBC.

According to @CNBC, Apple needs to deliver an AI-charged Siri compelling enough to get older iPhone users to upgrade, positioning AI features as the practical catalyst for device replacement decisions (source: @CNBC). For traders, @CNBC’s framing makes AAPL particularly sensitive to Siri AI feature announcements, rollout timelines, and early upgrade-intent signals among legacy iPhone cohorts as potential near-term catalysts (source: @CNBC). Crypto impact: @CNBC’s emphasis on consumer AI integration indicates Apple’s AI-related events could act as sentiment cues for AI-linked risk assets, warranting monitoring of AI narrative flows around major Siri updates (source: @CNBC).

According to @StockMKTNewz, Google/Alphabet’s Waymo stated it has received authorization from Nevada and begun autonomous testing with a driver at the wheel in Las Vegas, directly tying the development to GOOGL for stock traders, source: @StockMKTNewz on X. The post is dated December 30, 2025, providing a precise timestamp for intraday event tracking on GOOGL, source: @StockMKTNewz on X. The post does not reference any cryptocurrencies, so any crypto-market relevance would be via broader AI and autonomous driving sentiment rather than direct token links, source: @StockMKTNewz on X.

According to @StockMKTNewz, Nvidia (NVDA) is trading at about half the forward P/E of Costco (COST), creating a measurable valuation differential that traders can track as a forward P/E spread for timing and risk management. source: @StockMKTNewz Traders can use this observation to build a relative-value or pair-trade watchlist with alerts for spread convergence or divergence; the source does not cite any direct crypto market impact. source: @StockMKTNewz

According to @CNBC, Dan Ives has shared his top AI stock picks for the new year, with details available via a CNBC article, source: CNBC (Dec 30, 2025 post). The post does not list the tickers in-line, so traders should review the linked CNBC article to compile a names-and-levels watchlist before the next session, source: CNBC (link provided in the post). Given the Dec 30, 2025 timestamp, traders can prepare by monitoring premarket liquidity, spreads, and relative strength in AI-related equities at the next U.S. market open, source: CNBC (post timing reference).

According to @CNBC, Corti’s CEO said the company will go public but not in 2026, confirming there will be no Corti IPO catalyst in the 2026 calendar year (source: CNBC tweet dated December 30, 2025). Based on @CNBC, this means no Corti IPO allocations, lockup schedules, or index-addition flows in 2026, directing traders to focus near term on other AI-healthcare equity events for liquidity and momentum (source: CNBC tweet dated December 30, 2025). For crypto traders, @CNBC’s report implies fewer immediate AI IPO headline catalysts spilling into AI-themed token sentiment, keeping narratives tied more to macro and major AI earnings than to a Corti listing in 2026 (source: CNBC tweet dated December 30, 2025).

According to CNBC, UK-based Octopus Energy will spin off its AI platform unit Kraken at an $8.65 billion valuation. According to CNBC, this provides a concrete valuation datapoint for AI software within the energy and utilities vertical that equity and digital-asset traders can reference for relative-value comps and sentiment screens. According to CNBC, the shared snippet does not include details on listing venue or timing, so traders should review the full CNBC report for deal structure and capital-raising terms before positioning. According to CNBC, no cryptocurrencies were mentioned, implying any crypto impact is indirect via the broader AI narrative rather than direct token exposure.

According to @CNBC, Meta has acquired intelligent agent firm Manus, with the outlet describing the deal as capping a year of aggressive AI moves by the company (Source: CNBC). CNBC’s post did not include deal size, timing, or integration details, which means traders will likely look for official Meta updates to assess any concrete catalysts for positioning in AI-exposed equities (Source: CNBC). CNBC did not reference crypto assets in the update; any crypto-market read-through would be narrative-based rather than a direct linkage from this announcement (Source: CNBC).

According to @StockMKTNewz, Nvidia’s December market cap rose from $1.2B in 1999 to $20B in 2007, collapsed to $4.5B in 2008, and rebounded to $55B by 2016, highlighting distinct cycles that traders can use to time entries and exits in AI-exposed equities. source: @StockMKTNewz The step-change from $18B in 2015 to $55B in 2016 aligned with Nvidia’s reported acceleration in Gaming and Datacenter revenue tied to AI workloads, reinforcing NVDA as a key gauge of AI compute demand for momentum and regime analysis. source: NVIDIA Form 10-K FY2017 and FY2018 For crypto, Nvidia acknowledged that cryptocurrency mining demand materially affected GPU channel inventories during 2017–2018, making NVDA’s cycle relevant for hardware-dependent miners before Ethereum ended GPU mining via The Merge in 2022. source: NVIDIA Q3 FY2019 results commentary; Ethereum Foundation

According to the source, an X post on Dec 29, 2025 states Elon Musk held a call with Israeli Prime Minister Benjamin Netanyahu to discuss developing artificial intelligence technology in Israel, source: X post linked in the content dated Dec 29, 2025. The post does not disclose any investment amounts, timelines, or company participation, limiting immediate, data-driven trading decisions, source: the same X post which provides no further details beyond the headline claim. Until verifiable follow-ups from official channels provide specifics, traders can only monitor for confirmations that could materially affect AI-related equities and the crypto AI narrative, source: the lack of quantifiable information in the cited X post.

According to @StockMKTNewz, OpenAI is presented with a $500B market cap among top global companies, alongside Exxon Mobil (XOM) at $508B, Johnson & Johnson (JNJ) at $500B, and Palantir (PLTR) at $450B, source: @StockMKTNewz. The post states OpenAI is the 21st largest company, while its accompanying list shows OpenAI at No. 22 behind JNJ, source: @StockMKTNewz. For trading context, the source’s snapshot places OpenAI’s reported size near XOM and JNJ, framing relative market cap comparisons in the AI equity landscape, source: @StockMKTNewz.

According to @WatcherGuru, silver has overtaken Nvidia (NVDA) to become the second largest asset in the world by market capitalization, reported on X on Dec 28, 2025 (source: @WatcherGuru). The post does not provide underlying valuation figures, methodology for computing silver’s market cap, or external corroboration, indicating a headline alert rather than a data release (source: @WatcherGuru). For trading, desks can track XAGUSD versus NVDA for relative momentum and potential rotation signals; the source does not cite any direct crypto impact, so any spillover to BTC or ETH remains unconfirmed (source: @WatcherGuru).

According to Demis Hassabis, the ‘The Thinking Game’ documentary surpassed 200M YouTube views in four weeks, with content offering a behind-the-scenes look at an AGI lab and the Nobel Prize–related AlphaFold project (source: Demis Hassabis on X, Dec 28, 2025). For traders, the reported 200M-view milestone provides a concrete engagement metric that can be used as a sentiment input when evaluating AI-exposed equities and AI-related crypto narratives, given the attention surge around AGI themes (source: Demis Hassabis on X, Dec 28, 2025). The post does not include financial disclosures or product announcements, so any trading takeaways should be limited to sentiment and attention monitoring derived from the view count and described content focus (source: Demis Hassabis on X, Dec 28, 2025).

According to @CNBC, Wells Fargo says an intriguing AI play is emerging as the new year approaches, with CNBC posting the headline and linking to its Dec 28, 2025 coverage for details. Source: CNBC tweet on Dec 28, 2025. The CNBC post does not specify the ticker, sub-sector, or trade parameters, indicating investors should review the full article before positioning or adjusting exposure. Source: CNBC tweet on Dec 28, 2025. AI equity catalysts have historically spilled over into AI-related crypto tokens such as FET, RNDR, and AGIX via narrative-driven flows and higher beta around major AI events, which traders can monitor for cross-market confirmation. Source: Kaiko research (2023–2024).

According to @StockMKTNewz (X post dated Dec 27, 2025), Nvidia paid a 0.01 USD per-share quarterly dividend and CEO Jensen Huang, reported at 811.5 million shares, received roughly 8.1 million USD in cash distributions (source: @StockMKTNewz). Nvidia’s post-split quarterly dividend of 0.01 USD per share was set following its 10-for-1 stock split in 2024 (source: Nvidia Investor Relations, 2024 dividend announcement). The annualized payout is 0.04 USD per share, a concrete income figure for traders monitoring NVDA’s cash-return profile (source: Nvidia Investor Relations dividend rate). The post does not reference any cryptocurrency market implications or AI-token catalysts, indicating no direct crypto read-through in this item (source: @StockMKTNewz post content).

According to @CNBC, Morgan Stanley named Nvidia (NVDA) among its top stock picks for 2026 in a newly published outlook (source: CNBC). According to CNBC, the inclusion positions Nvidia within the bank’s preferred names for the coming year, signaling focus on AI leaders in the 2026 framework (source: CNBC). According to CNBC, the report did not reference cryptocurrencies or digital assets (source: CNBC).

According to @CNBC, the outlet has published a one-year review asking whether the UK's grand AI plan has delivered a successful infrastructure buildout, signaling an investor focus on real-world deployment and capacity progress (source: CNBC). For trading, this spotlight makes UK AI infrastructure updates a near-term catalyst to watch for sentiment in AI-exposed equities and AI-related crypto narratives, where policy and buildout progress often drive momentum (source: CNBC).

According to @DeepLearningAI, its year-end The Batch edition frames 2025 as the year reasoning models changed everything and explores how AI learned to think before it speaks (source: DeepLearning.AI). The edition highlights three themes: China turning chip restrictions into innovation fuel, coding agents becoming true development partners, and U.S. economic growth driven by infrastructure spending (source: DeepLearning.AI). It also features a holiday message from Andrew Ng to the AI community (source: DeepLearning.AI). For traders, these covered themes map directly to compute supply chains, software automation, and capex cycles that shape positioning in AI equities and AI-linked crypto narratives (source: DeepLearning.AI).

According to @CNBC, Oracle (ORCL) shares are on pace for their worst quarter since 2001 as investors question the company’s AI buildout under its new CEOs, pressuring the stock. According to @CNBC, the drawdown reflects market concern over the scale and execution of Oracle’s AI infrastructure plans, weighing on sentiment and near-term valuation. According to @CNBC, the report did not cite direct cryptocurrency market impacts, highlighting AI-related equity risk as the primary context for ORCL’s decline.