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Wedbush’s Dan Ives Foresees a Prolonged Tech Bull Run Amid AI Investment Surge

The AI Revolution Sparks Unprecedented Capital Activity

In a market defined by rapid technological evolution, Wedbush’s Dan Ives predicts that the next two to three years will resemble a sustained bull market in tech. Fueled by the transformative wave of artificial intelligence, led by innovators like Sam Altman of OpenAI, the sector is witnessing an era where startups—often armed with little more than a pitch deck—are attracting hundreds of millions in capital. This relentless pursuit of the next breakthrough is reshaping valuations and catalyzing a significant influx of investments.

Overheated Valuations and the Search for Substance

While Altman acknowledges that investor enthusiasm for AI has reached fever pitch, he remains steadfast in his belief that the long-term societal benefits of these technologies will prevail. Recognizing the risk of a bubble, he candidly remarked on the unsustainable exuberance in the market, yet his conviction is driving OpenAI to invest heavily in expanding its technological infrastructure. Expectations are set for substantial expenditure—potentially in the trillions on data center construction—as the company seeks out computing resources beyond the capacities of even the largest hyperscalers.

Mega Caps Redefine Infrastructure Spending

The AI surge is prompting major tech corporations to recalibrate their capital expenditure. Microsoft now projects $120 billion in annual capex, while Amazon, Alphabet, and Meta have similarly elevated their spending forecasts in response to burgeoning AI demands. This collective drive underscores a broader trend: traditional tech giants are not merely passive witnesses but active proponents of an AI-powered future, positioning themselves to leverage deep structural shifts in the global economy.

Balancing Innovation With Caution

Despite the optimistic outlook, voices within the industry, including Citi’s Rob Rowe, advise caution. Unlike the dotcom bubble, which was marred by over-leveraged companies and speculative investments, today’s AI investments are underpinned by businesses with strong earnings and robust cash flows. Nevertheless, when market exuberance leads to speculative moves—such as the construction of data centers without clear demand—the risk of short-term volatility cannot be discounted.

A Blueprint for Long-Term Transformation

Altman’s reflections evoke the cyclical nature of technological progress. Just as the dotcom crash was followed by the birth of a modern digital economy, the current wave of AI investment—despite its turbulence—could catalyze enduring value creation for society. With entrenched players and emerging startups alike reimagining the future, the tech sector stands on the brink of a profound transformation that may redefine global markets for decades to come.

Apple Ties Its Mac Strategy To The AI Boom With New Mac Mini And Mac Studio Models

Apple has updated its Mac Mini and Mac Studio desktops with new processors and higher AI performance as developers increasingly use Macs for local AI workloads. The new models are scheduled to ship on Sept. 22, weeks before the company is expected to introduce its next iPhone generation.

Macs Target Local AI Development

Developers and researchers are increasingly using Apple computers to run AI models locally, reducing reliance on cloud infrastructure. Mac Mini systems can support AI agent software, while Mac Studio machines are designed for more demanding model training and deployment workloads.

Apple said its processors combine Neural Engines for machine learning with unified memory architecture designed to reduce performance bottlenecks. The company says the combination allows users to run and fine-tune larger AI models directly on their devices.

Mac Mini Gets First M6 Generation Chip

The updated Mac Mini can be configured with Apple’s M6 and M5 Pro processors, making it the company’s first computer with an M6-generation chip. The M6 is manufactured by Taiwan Semiconductor Manufacturing Co. (TSMC) using a 2-nanometer process.

The previous Mac Mini lineup offered M4, M4 Pro and M4 Max processors. Apple said the M5 Pro version of the new model can process large language model prompts 8.5 times faster than earlier Mac Mini Pro configurations.

Pricing has also increased. The new Mac Mini starts at $899, $100 more than the previous model, after Apple raised the price from $599 earlier this summer, citing higher memory costs.

Mac Studio Targets Larger AI Workloads

Mac Studio remains Apple’s highest-performance desktop without an integrated display, following the discontinuation of the Mac Pro earlier this year. New configurations include the M5 Max, which Apple says can run large language models nearly four times faster than the previous generation.

The M5 Ultra is available for users with heavier computing requirements. Apple says multiple Mac Studio systems using the Ultra chip can be connected to pool memory and run models with up to a trillion parameters.

Mac Studio with the M5 Max starts at $2,499, unchanged from the previous generation. The M5 Ultra configuration starts at $5,499, compared with at least $5,299 for the previous model using the M3 Ultra.

Apple Expands Its Local AI Hardware

The new desktops give developers and researchers more computing capacity for running AI models locally. Apple is also increasing the role of its custom processors and unified memory architecture in handling AI workloads without relying entirely on cloud-based computing.

Both Mac Mini and Mac Studio models are available for presale and are scheduled to begin shipping on Sept. 22.

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