ETF expert Mike Akins predicts a strong second half for unloved market sectors. He advises investors to increase exposure to software, cloud computing, and disruptive mid/small-cap companies. These areas have seen valuations pull back, offering compelling growth prospects as the market broadens beyond AI giants, with a potential “catch-up trade” benefiting these overlooked segments.

Wall Street experienced volatility driven by AI enthusiasm and resurgent oil prices. Despite brief Dow highs and tech sector swings, the Nasdaq and S&P 500 closed higher. Semiconductor stocks saw sharp moves due to supply news and partnerships, while Meta Platforms surged by monetizing AI with new cloud and advertising products. Renewed US-Iran tensions boosted oil prices, benefiting energy stocks but pressuring companies sensitive to fuel costs and impacting bond yields.

Brain-computer interfaces (BCIs) are evolving from science fiction to a booming market, with both invasive and non-invasive approaches gaining traction. While invasive implants target severe disabilities, non-invasive BCIs aim for broader consumer adoption. AI is crucial for interpreting brain signals, and the field sees significant investment, particularly in the U.S. and China. Companies like BrainCo are leading non-invasive BCI development, focusing on accessible and affordable solutions for prosthetics, sleep aids, and future consumer electronics, while navigating investment and geopolitical landscapes.

Amazon’s significant workforce reduction, impacting thousands of employees, highlights a broader tech industry trend driven by AI’s transformative impact. Professionals once in coveted roles now face an intensified job market, with AI reshaping operational strategies and automating existing positions. While some secure new roles, many experience challenging job searches. The company, emphasizing agility, is reallocating resources towards AI development, leading to strategic downsizing and a push for efficiency through AI integration.

Meta’s stock has surged following Wall Street’s confidence in its AI monetization strategy. The company’s pivot to generate revenue from AI, including a planned cloud computing business and advanced models like Muse Spark, addresses investor concerns about massive AI investments. This move aims to leverage its compute infrastructure and AI capabilities to drive future growth and compete with AI leaders.

The Commerce Department is easing export controls for the UAE, favorably reviewing license applications for MGX, a UAE-backed firm. This follows criticism from Senator Warren regarding MGX’s $2 billion Binance investment, allegedly using a Trump-family linked stablecoin. The policy shift, effective July 14, aims to expedite technology access for U.S. companies operating in the UAE, citing the UAE’s strategic importance. However, concerns persist about potential influence on policy and technology diversion.

Apple’s stock is outperforming “Magnificent Seven” peers due to its cost-effective AI strategy. Leveraging a massive installed device base and a partnership with Google’s Gemini, Apple aims for pervasive AI integration rather than leading LLM development. This approach preserves free cash flow and aligns with consumer demand for optimized AI. The company’s consistent strategy of patience, refinement, and ecosystem integration is now resonating with Wall Street.

Apple has sued OpenAI, alleging trade secret theft for its consumer hardware development. The lawsuit claims former Apple employees now at OpenAI, including hardware chief Tang Tan, pilfered confidential information. This legal action follows a strategic shift by OpenAI into hardware, reportedly acquiring Jony Ive’s startup. Apple’s upcoming Siri integration will use Google’s AI, not OpenAI’s. OpenAI denies the allegations, stating no interest in trade secrets. The suit seeks damages and injunctions.

The AI race has shifted from raw model power to efficiency and cost-effectiveness. The focus is now on systems that integrate models with tools and data, dynamically selecting the best model for each task. Open-weight models, particularly from China, are rapidly improving and becoming a cost-effective alternative, with projections suggesting they will dominate token generation. Deployment and management of these models, as exemplified by Ollama, are crucial. This trend challenges existing AI companies and has strategic implications for national competitiveness, potentially leading to a hybridized AI ecosystem.

Kraken is relaunching its mobile app with agentic trading, enabling AI to autonomously manage portfolios and execute trades based on user input. This signifies a shift towards AI-native financial products, aiming to democratize sophisticated trading capabilities for everyday users. The platform will offer personalized insights and recommendations, maintaining user control over all decisions. This move positions Kraken alongside competitors like Coinbase and Gemini in leveraging AI for enhanced user experience and engagement, particularly during market downturns.