Broadcom stock price suffered a 5% reversal on Friday, a day after the company published strong financial results, and analysts remained optimistic about its future. AVGO dropped to $385, down from the all-time high of $412. So, it safe to buy the dip?

Broadcom published strong financial results 

Broadcom, one of the biggest companies in the world, released strong results and boosted its forward guidance.

The company said that its revenue rose by 28% to over $18 billion, with its net income hitting $8.5 billion.

Most importantly, the company’s AI business continued to boom, with its AI revenue soaring by 74%. The management believes that this segment’s growth will double to $8.2 billion in the following year, helped by its custom AI accelerators and Ethernet AI.

The ongoing boom helped the company to boost its dividend by 10% to 65 cents, and now plans to have a payout of $2.60, a record level. It will be the fifteenth consecutive year of dividend growth.

Broadcom boosted its forward guidance, with the management expecting the first quarter revenue to grow to $19.1 billion and its adjusted EBITDA being 67% of revenue.

Most importantly, the company said that it had acquired a new large customer for its custom chips and said that Anthropic was the previously unnamed $10 billion revenue customer. As a result, its backlog jumped to over $74 billion.

Analysts are bullish on AVGO stock 

Wall Street analysts are highly bullish on Broadcom and its stock. The average estimate is that the company will make $18.3 billion in the first quarter, up by 22.7% from the same period last year.

Most importantly, these analysts expect that the next annual revenue will be $86 billion in the next financial year and $114.59 billion in the next one, representing strong growth for a company that has been in the industry for years.

Wall Street analysts have upbeat estimates about the stock. In a note on Friday, a Baird analyst boosted the estimate to $420 from the previous $300, pointing to its AI business.

Another analyst from Rosenblatt Securities recently boosted the target from $400 to $440, while another one from Oppenheimer raised the estimate to $435.

Some of the other bullish analysts from companies like UBS, Bank of America, Barclays, and Mizuho have all boosted their estimates. More estimates will likely come soon now that the company has already published its earnings report.

Therefore, the Broadcom stock price is falling as investors remain concerned about the AI bubble, which was triggered by the recent Oracle earnings. In particular, investors are concerned about OpenAI, which has placed orders worth over $1 trillion.

Broadcom stock price technical analysis 

The daily timeframe chart shows that the AVGO stock price has been in a strong uptrend this year as the AI boom continued.

It jumped to a record high of $413, which is along the upper side of the ascending channel. It has also remained above the 50-day and 100-day Exponential Moving Averages (EMA).

The stock has remained above the 50-day and 100-day Exponential Moving Averages (EMA), while the Relative Strength Index has pointed upwards.

Therefore, the most likely Broadcom stock price forecast is where it retreats to $350 and then resumes the uptrend as its growth accelerates. 

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BBVA is moving artificial intelligence from limited trials into everyday banking work by extending access to ChatGPT across almost its entire organisation.

The Spanish lender is giving more than 120,000 employees access to ChatGPT Enterprise after an internal pilot showed measurable efficiency gains, reports Bloomberg.

The expansion reflects a broader shift in the financial sector, where banks are increasingly embedding AI into core operations rather than treating it as an experimental tool.

For BBVA, the priority is improving internal productivity while strengthening long-term digital capabilities across business lines.

From pilot to daily use

The decision follows a pilot programme involving 11,000 employees across multiple teams.

BBVA said the trial showed staff were saving around three hours per week on routine tasks such as drafting documents, summarising information, and managing repetitive internal requests.

Based on these results, the bank opted to scale ChatGPT Enterprise across most of its workforce rather than restrict access to specialist or technical roles.

The move positions AI as a standard workplace tool rather than a niche productivity aid.

Cost and operational shift

Although BBVA and OpenAI did not disclose the financial terms of their agreement, typical enterprise pricing models suggest that rolling out AI tools at this scale can amount to a substantial annual expense for a global organisation.

The investment highlights how large banks are beginning to treat AI spending as part of core operating costs.

Rather than short-term trials, BBVA is aligning AI deployment with long-term efficiency, automation, and process optimisation goals.

This approach reflects growing pressure on banks to modernise workflows while managing costs and regulatory complexity.

BBVA said governance frameworks and controls will guide employee use of ChatGPT, ensuring responsible adoption across regulated banking environments globally.

Internal AI capabilities

The ChatGPT rollout builds on BBVA’s existing AI infrastructure. The bank employs more than 1,000 scientists who design and run AI models, supported by around 2,500 data specialists.

These teams already apply AI across areas such as risk management, fraud detection, and customer analytics.

ChatGPT is designed to complement this in-house expertise by providing a general-purpose AI tool that can be used across departments, including technology, corporate functions, and retail banking operations.

The aim is to reduce friction between specialist AI teams and everyday business users.

Customer tools and agentic AI

BBVA is also extending its AI ambitions to customer-facing services.

Its digital financial assistant, Blue, is currently live in Spain and Mexico and can handle around 150 customer queries.

These include everyday account-related questions and service interactions.

The bank is now working to expand the assistant’s capabilities so it can carry out transactions independently.

This type of functionality, often described as agentic AI, would allow systems to act on a user’s behalf within set rules, potentially reshaping digital banking experiences.

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Russian seaborne oil product exports dipped slightly in November, falling 0.8% from October to 7.494 million metric tons, according to industry data and Reuters calculations. 

This decrease occurred as the effects of drone attacks on key energy infrastructure were largely counterbalanced by the completion of maintenance work at several refineries.

Despite the small change in overall volumes, the amount of flow through specific ports fluctuated.

This variation was influenced by factors such as drone attacks and the renewed operation of several refineries.

Baltic ports fuel export surge

Fuel exports from Russian ports in the Baltic Sea–including key terminals such as Primorsk, Vysotsk, St. Petersburg, and Ust-Luga–experienced a significant surge, rising by an impressive 20.6% month over month. 

The total volume of fuel shipped from these crucial logistical hubs reached 4.697 million tons. 

This notable increase in export volume underscores the ongoing activity and strategic importance of the Baltic ports in Russia’s energy trade, particularly in the context of global market dynamics and supply chain shifts. 

The data confirming this substantial rise was compiled and released based on information sourced directly from industry experts and shipping data providers. 

This upward trend suggests a heightened operational tempo at these ports, potentially in response to strong international demand or shifts in export routes and schedules.

The increase in shipments was primarily due to higher loadings from the ports of Primorsk and Ust-Luga, according to market sources quoted in the Reuters report.

Novatek’s Ust-Luga complex restored

The Russian energy giant Novatek, whose stock is actively traded, successfully brought its vital gas condensate processing and transhipment complex in Ust-Luga back to full operational capacity last month. 

This restoration followed extensive repair work necessitated by damage sustained during a series of drone attacks in August. 

The facility, located on the Baltic Sea near the border with Estonia, is a cornerstone of Novatek’s logistics chain, processing stable gas condensate into valuable petroleum products like jet fuel, naphtha, and gasoil for export to international markets.

The August attacks, which Novatek officially reported as having caused some localised damage to auxiliary equipment, temporarily disrupted operations, forcing the company to initiate immediate repairs. 

While Novatek is known for its resilience and robust operational procedures, the incident underscored the growing risk posed by drone warfare to critical energy infrastructure. 

The complex is now once again operating at maximum efficiency, ensuring the continuous flow of processed hydrocarbons from Russia’s massive natural gas fields to world markets.

Drastic decline in southern route exports

In stark contrast, fuel exports via the southern routes saw a drastic decline.

Exports of oil products through Black Sea and Azov Sea ports decreased by 30.2% to 2.062 million tons.

This drop was attributed to damage caused by drone attacks, according to the data and calculations in the report.

Following drone attacks in November, Russia’s Tuapse port on the Black Sea temporarily halted fuel exports, and its local oil refinery stopped crude processing. Oil product loadings resumed two weeks later.

In November, the Black Sea port of Novorossiysk also came under attack by drones.

Exports of oil products from the Arctic ports of Murmansk and Arkhangelsk increased by 80% in November, reaching 57,400 tons, up from 32,900 tons in October.

Loadings of fuel exports at Russia’s Far East ports increased by 1.2% from October, reaching 677,800 tons, according to data from industry sources.

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US equities are set to reach fresh record highs next year, supported by stronger corporate earnings, broadening artificial intelligence adoption, and resilient economic growth, according to Goldman Sachs strategists.

The outlook adds to a growing consensus among major financial institutions that the ongoing market rally still has room to run.

AI-driven productivity expected to boost corporate earnings

Analysts at Goldman Sachs, led by Ben Snider, forecast earnings per share for S&P 500 companies to rise 12% in 2026, followed by another 10% increase in 2027.

A portion of that expansion will come from productivity improvements tied directly to AI.

The strategists estimate that artificial intelligence will contribute roughly 0.4% to earnings growth in 2026 and 1.5% the following year.

Snider noted that enterprise adoption of AI remains at an early stage, with larger companies currently making more visible progress than smaller firms.

Alongside AI-related gains, he cited “healthy nominal top-line growth, a fading drag from tariffs, and continued earnings strength for the largest stocks in the index” as key factors that will support profitability.

Snider, who will take over as Goldman’s chief US equity strategist at year-end, reaffirmed his target for the S&P 500 to reach 7,600 points in 2026.

That implies an increase of about 10% from current levels and suggests Wall Street’s largest benchmark may extend its run of record highs.

Broader market optimism builds across Wall Street

Goldman Sachs is not alone in its upbeat expectations.

Strategists at Morgan Stanley, Deutsche Bank, and RBC Capital Markets have all projected double-digit gains for US equities next year, citing a combination of economic resilience, earnings expansion, and persistent investor appetite for risk assets.

Market participants appear to share that outlook.

An informal Bloomberg survey found that global money managers expect the stock rally to continue, supported by improving confidence in the economic environment.

The S&P 500 recently closed at a record high, underscoring the strength of the current market momentum.

However, the optimism is not without caution.

Some asset managers warn that the massive capital being deployed into AI infrastructure and capabilities could be inflating valuations in tech-heavy segments of the market.

Concerns about a potential bubble have grown as mega-cap technology companies continue to outpace the broader index.

Mega-cap tech expected to drive profit growth again

Goldman’s Snider said the largest companies in the S&P 500 — including Nvidia, Apple, Microsoft, Alphabet, Amazon, Broadcom, and Meta — will remain critical engines of overall earnings growth next year.

He expects these firms to contribute roughly 46% of the index’s total profit expansion in 2026, only slightly below their outsized influence this year.

Analysts tracked by Bloomberg Intelligence forecast that net income for S&P 500 companies will rise 14% in 2026, fueled by an anticipated 18% profit increase among the so-called Magnificent Seven.

Their continued dominance reinforces the extent to which US equity performance remains concentrated among a handful of technology giants that are aggressively deploying AI to extend competitive advantages.

As Wall Street heads into 2026, the path of US stocks appears increasingly tied to the pace of AI adoption, the durability of mega-cap earnings, and investors’ confidence in the economic backdrop.

For now, Goldman Sachs and other major forecasters see those forces aligning in favor of another strong year for equities.

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US stocks surged after the Federal Reserve delivered its third straight quarter-point rate cut on Wednesday, with the Dow Jones jumping over 550 points and the S&P 500 notching another record close.

The Fed’s decision to lower rates to a range of 3.5%-3.75% sparked a relief rally even as Chair Jerome Powell signaled a more cautious approach to future cuts.

The market’s enthusiasm reflected investor hunger for monetary easing, though Powell’s measured tone suggested investors may be pricing in more Fed support than the central bank intends to deliver.

US stocks rally as Fed eases

The Dow climbed approximately 550 points, or 1.2%, while the S&P 500 gained 0.8% to break through its October peak, notching a new record close.

The Nasdaq Composite, heavily weighted toward rate-sensitive technology stocks, added 0.4% as investor appetite for risk rebounded. ​

The two-year Treasury yield, most sensitive to near-term Fed policy expectations, fell approximately 3-5 basis points, reflecting traders’ relief that rate cuts remained on the table.

The Fed’s announcement to resume Treasury bill purchases, the first time since 2020, sent a more dovish signal than the headline rate cut alone.

Financial stocks, typically pressured by lower rates, posted gains anyway, suggesting investors believed the easing cycle would support economic growth rather than signal recession fears.

Notably, the Fed’s vote carried a 9-3 split, with three dissents, two wanting to hold rates steady and one preferring a 50 basis point cut.

This division underscored internal disagreement about whether to support the labor market or guard against rekindled inflation.

Yet markets largely brushed aside the friction, choosing to focus on the path of least resistance.​

Limited easing in the future

Powell walked a tightrope during his press conference.

He acknowledged that “downside risks to employment rose in recent months,” justifying the cut, but pointedly stated, “I don’t think that a rate hike is anybody’s base case at this point.”

The Fed’s latest dot-plot projections showed only one additional cut penciled in for 2026, a striking shift from market pricing that currently reflects roughly 68% odds of two or more cuts next year.

Markets had entered Wednesday expecting Powell to lay groundwork for multiple 2026 cuts, viewing the Fed as embarking on sustained easing.

Instead, Powell’s language suggested the Fed is hitting pause after three cuts.

The committee also stressed it would closely monitor inflation and labor market dynamics before committing to further moves.

Powell added that upcoming employment reports and inflation readings would shape the Fed’s calculus, leaving the door ajar but not inviting traders inside.

Investors interpreted Wednesday’s rally as validation of their “rate-cut optimism,” but Powell’s guidance offered caution.

The Fed has signaled it will move deliberately from here, watching data before committing to additional cuts.

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Oracle Corporation’s shares tumbled more than 6% in after-hours trading on Wednesday after fiscal second quarter revenue came in at $16.1 billion.

The figure marked a 14% rise from the prior year but fell short of Wall Street’s consensus of $16.2 billion.

The miss underscores investor scrutiny on the database giant’s aggressive expansion into AI-driven cloud infrastructure amid broader market jitters over earnings.​

Capex balloons on data centre buildout

Capital expenditures soared to $12 billion, well above the $8.4 billion anticipated by analysts.

This spike reflects Oracle’s massive investments in data centres to support surging demand for AI computing power.

CEO Larry Ellison’s firm highlighted commitments from major clients like OpenAI, fueling the infrastructure spend but raising debt concerns.

Shares, which had rallied post-September earnings on a $300 billion OpenAI deal, have since erased those gains.​

RPO climbs, but AI worries persist

Remaining performance obligations, a key backlog metric, grew 15% to $523 billion in the three months ended November.

This signals robust future revenue potential from AI contracts with partners, including Meta and Nvidia.

However, mounting borrowing needs and OpenAI’s long-term payment capacity have spooked investors, with credit default swaps at 2009 highs.​

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South Korea’s SK Hynix has confirmed that it is evaluating the possibility of a US stock market listing, a move that would give American investors direct exposure to one of the world’s most important suppliers of high-bandwidth memory used in artificial intelligence hardware.

The company disclosed the development in a regulatory filing on Wednesday, noting that it is “reviewing various measures to enhance corporate value, including a US stock market listing utilizing treasury shares,” while emphasizing that no final decision has been reached.

Shares of SK Hynix have soared nearly 230% this year on the Korea Exchange, propelled by global demand for advanced memory chips that underpin AI data centers and high-performance computing infrastructure.

Potential ADR listing and market response

The Korea Exchange had requested clarification from SK Hynix after a Korea Economic Daily report stated that the company had received proposals to list around 2.4% of its shares in the US in the form of American depositary receipts (ADRs).

ADRs, issued by US banks, represent ownership in foreign companies and allow American investors to trade overseas stocks more easily.

Although ADRs typically offer lower liquidity compared with a full US listing—a factor that can deter some institutional investors—they rely on existing shares rather than issuing new equity, preserving value for current shareholders.

SK Hynix currently holds treasury shares equivalent to roughly 2.4% of its issued stock, according to its investor relations website.

A listing utilizing treasury shares would allow the company to tap into the deep US capital markets without diluting existing investors.

Following confirmation that the company was reviewing the possibility of a US listing, SK Hynix shares gained 4% on Wednesday.

However, the rally moderated on Thursday, with the stock trading more than 2% lower.

Strengthening position in high-bandwidth memory

The memory chipmaker has been at the center of the AI infrastructure boom, cementing its lead in high-bandwidth memory (HBM) chips that are used in Nvidia’s AI processors.

This leadership position has been a key driver of investor interest and valuation expansion.

Analysts have long pointed to the company’s HBM capacity as a strategic advantage at a time when global demand for AI accelerators continues to rise.

A potential US listing could also help narrow the valuation gap between SK Hynix and its US-listed competitor Micron Technology, as well as Samsung Electronics, which is traded in Seoul.

Access to US capital markets may offer broader visibility among North American investors and institutional funds that benchmark against US semiconductor peers.

Expanding global footprint amid policy support

SK Hynix has been committing substantial capital domestically and overseas to expand its manufacturing footprint.

The company has pledged nearly $4 billion to develop an advanced packaging facility in Indiana, supporting Washington’s effort to strengthen domestic semiconductor supply chains.

At the same time, the company stands to benefit from increasing policy support at home.

South Korea is considering a 4.5 trillion won ($3.06 billion) foundry project funded by both state and private capital to bolster its local chip manufacturing base amid rising demand for AI chips, Reuters reported on Wednesday.

President Lee Jae Myung met with executives from major chipmakers, including Samsung Electronics and SK Hynix, to discuss strategies to preserve the country’s leadership in memory technology and reinforce the domestic semiconductor ecosystem.

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Global markets opened to a mix of risk aversion and corporate developments on Thursday as cryptocurrencies slid following renewed concerns around Federal Reserve guidance, while Coca-Cola announced a major leadership transition.

Asia’s equity markets also pulled back after disappointing results from Oracle, and US lawmakers advanced a $900 billion defense policy bill.

Crypto market slumps as fed outlook weighs on risk appetite

Bitcoin and major altcoins faced sharp declines on December 11 as investors reassessed expectations around the US Federal Reserve’s policy path.

Bitcoin was trading near $90,000, reversing gains made earlier in the week.

The CoinMarketCap 20 Index dropped 2.8%, while the total crypto market value slid 2.54% to roughly $3.08 trillion.

Altcoins mirrored the broader pullback. XRP fell 3.77% in 24 hours and 7.82% over the past week, while Solana, Dogecoin, Cardano, and Chainlink were all down more than 5% during the day.

The drop came as investors reacted to the Fed’s decision to lower rates and resume quantitative easing through $40 billion in monthly purchases of short-term Treasuries.

However, the central bank’s dot plot signaled only one rate cut in 2026—fewer than expected.

Market positioning also contributed to the decline.

CoinGlass data showed over $175 million in Bitcoin positions liquidated in 24 hours, alongside $170 million in Ethereum and more than $25 million in Solana positions.

Falling open interest, down nearly 1% to $132 billion, further reflected unwinding leverage.

Sentiment toward altcoins has deteriorated more broadly.

The Altcoin Season Index has fallen to a year-to-date low of 17, down from over 60 earlier this year, as many tokens—including DoubleZero, Story, MYX Finance, and Worldcoin—have plunged more than 62% in the last 90 days.

Still, ETF flows suggest selective accumulation, with recent inflows into Solana and Chainlink.

Coca-Cola names Henrique Braun as next chief executive

Coca-Cola announced that Chief Operating Officer Henrique Braun will succeed James Quincey as CEO on March 31 next year.

Quincey, who has led the beverage giant since 2017, will remain involved as executive chairman.

Braun, a company veteran who joined in 1996, will focus on global growth opportunities, evolving consumer needs, and advancing technology.

Coca-Cola continues to navigate softer demand in its core soda business, driven partly by lower-income households cutting back.

While unit case volume rose 1% in the latest quarter after a prior decline, growth has been stronger in premium segments such as Smartwater and Fairlife.

Under Quincey’s leadership, Coca-Cola outperformed PepsiCo, aided by a stronger out-of-home business and dominant market share in sodas.

Coke’s namesake product remains the top-selling US soda, while Sprite recently overtook Pepsi for the No. 3 spot. Coca-Cola shares have risen nearly 13% this year, compared with a more than 1% decline in PepsiCo stock.

Asian markets slip after Oracle’s weak outlook

Asia-Pacific equities retreated after Oracle posted disappointing earnings and flagged higher spending tied to AI infrastructure, fueling concerns about profitability in the sector.

The report sent Oracle shares down over 11% after hours, dragging the S&P 500 and Nasdaq futures lower.

Japan’s Nikkei fell 0.88%, weighed down by a 7.6% drop in SoftBank Group, an Oracle partner on the Stargate data center project.

MSCI’s Asia-Pacific index outside Japan shed 0.6%, while Hong Kong’s Hang Seng was largely unchanged.

India’s Nifty 50 was up 0.5%.

Bond yields eased as Fed Chair Jerome Powell struck a balanced tone following the expected rate cut, and the central bank signaled Treasury purchases to support liquidity.

US house passes $900B defense authorization bill

The U.S. House of Representatives approved a $900 billion National Defense Authorization Act in a 312–112 vote, moving the legislation to the Senate.

The bill sets defense spending levels and outlines priorities for the Pentagon, including repealing certain Syria sanctions, allocating $400 million annually to Ukraine for 2026 and 2027, and dedicating $1 billion to Taiwan security cooperation.

It also directs the Pentagon to launch a joint drone program with Taiwan and restricts reductions of US forces in Europe below 76,000 for more than 45 days.

The bill will next go to President Donald Trump for signature following Senate action.

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Google DeepMind is sharpening its scientific ambitions with a new automated research lab in the UK, signalling a broader push to tie advanced artificial intelligence to national research priorities.

The lab, opening next year, forms the centrepiece of a fresh collaboration between Google and the British government and sits within a wider plan to build tools for public services, classrooms, and scientific institutions.

The move aligns with Google’s growing interest in using AI to speed up discoveries in materials that could support technologies like batteries, semiconductors, and imaging equipment.

New lab aims to advance automated science

DeepMind calls the facility its first automated site, designed to use robotics to run experiments with minimal human involvement.

The company has not disclosed the size of the team or the funding behind the project, but says the goal is to accelerate research that normally takes years of manual iteration.

The lab will explore new materials that could help improve medical imaging, solar technology, and chip development.

Several emerging companies, including some launched by former DeepMind engineers, are also racing to use AI models to search for materials that could reduce costs and speed up prototyping.

DeepMind’s plan signals its intention to stay competitive as this field grows.

UK partnership broadens Google’s public sector reach

The British government announced the partnership on Thursday, outlining how Google will tailor variants of its AI systems, including Gemini, for scientists, teachers, and public employees.

The collaboration gives UK researchers priority access to four scientific models created by DeepMind, including ones used for DNA analysis and weather prediction.

The government also said DeepMind will contribute to research in fusion energy and help develop tools for teachers based on Gemini.

These steps extend Google’s attempt to deepen its role in the UK’s digital infrastructure at a time when major firms are competing to offer cloud and AI services to governments.

AI competition shapes Google’s scientific strategy

Google’s push into public sector AI comes as it competes with Microsoft and OpenAI, both of which have been working to embed their models across government systems and education platforms.

By placing a specialised scientific facility in the UK, DeepMind is drawing attention to how AI-driven laboratories may become part of national research networks.

The new site supports Google’s long-term aim of offering cloud technology alongside domain-specific AI tools that can be plugged into scientific workflows.

DeepMind also confirmed that it will share proprietary models and data with the UK AI Security Institute, which was established in 2023 to test and evaluate advanced AI systems.

This expands the institute’s ability to benchmark models as governments increase scrutiny of safety, reliability, and national security implications.

Investment plans reinforce Google’s UK footprint

The new lab arrives shortly after Google revealed in September that it plans to invest £5 billion in the UK over the next two years.

The money will support data centre expansion and operational growth.

Although this represents a small fraction of Google’s global spending, the investment forms part of a pattern in which large tech companies build capacity in countries that are developing regulatory frameworks around AI.

DeepMind’s latest move shows how the company is positioning itself at the intersection of academic research, corporate infrastructure, and public sector demand.

As AI becomes more central to scientific discovery, automated labs and model-sharing agreements are likely to play a larger role in how countries shape their innovation ecosystems.

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