Google, once the standout performer among major tech stocks over the past year, is now facing a severe test as its AI narrative shows signs of weakening.

Since hitting an all-time high on May 13, shares of parent company Alphabet have fallen 15%, wiping out $692 billion in market capitalization and making it the second-largest drag on the S&P 500 during the period. The pressure stems from two key directions: the ongoing departure of critical AI talent and delays in developing its flagship model Gemini 3.5 Pro. Together, these factors have shaken investor confidence in Alphabet's leadership position in the AI race.

The turning point in market sentiment came on August 5. On that day, Jeff Dean, the central figure in Google's AI strategy, announced his departure to start a new venture, taking several senior executives with him, while Demis Hassabis also stepped down as CEO of Google DeepMind. Following the announcement, Alphabet's stock plunged 4% in a single day, erasing $18.6 billion in market value. Meanwhile, the company's $25 billion bond issuance completed in early August, coupled with rising capital expenditures and a shift to negative free cash flow, further intensified investor concerns.

Talent Exodus Undermines AI Leadership

Alphabet has faced talent pressure for several months now. Months ago, two Google executives had already jumped ship to Anthropic and OpenAI. Earlier this month, Jeff Dean's departure and his recruitment of several core colleagues brought this issue to a boiling point.

Angelo Zino, Senior Vice President and Technology Research Director at CFRA, noted: "This talent drain does pose a risk because this is the area everyone in the market is focused on right now — can you monetize AI?"

It's worth noting that the talent war among big tech companies is not a challenge unique to Alphabet. According to Bloomberg reports, Meta lured away Apple's AI model team lead Ruoming Pang with a multi-year compensation package worth $200 million; OpenAI attracted more than 400 Apple employees with lucrative salaries and stock options, prompting Apple to sue OpenAI for stealing trade secrets. However, for Alphabet, the talent issue is merely the tip of the iceberg.

Gemini Delays Intensify Valuation Pressure

A more direct concern lies in the delayed development of Alphabet's most powerful AI model, Gemini 3.5 Pro. The model remains in the refinement stage, particularly regarding coding capabilities — an area where Alphabet is perceived to have fallen behind Anthropic and OpenAI. Two weeks ago, Google released the new Gemini 3.7 Flash model but made no mention of a timeline for Gemini 3.5 Pro's launch.

Divyaunsh Divatia, an analyst at Janus Henderson, pointed out: "If you're a winner in the AI race, you have a leading frontier model and the market gives you a corresponding valuation premium. That's exactly the logic reflected in stock prices over the past nine to twelve months, and that premium has now marginally eroded."

Google, for its part, maintains an optimistic stance. A Google spokesperson stated: "Our AI momentum and product delivery speed are at all-time highs. Gemini 3.7 Flash has become our fastest-growing model to date, and Gemma downloads have surpassed 1 billion."

Soaring Capital Expenditures Strain Free Cash Flow

Financial pressures are equally impossible to ignore. Alphabet's stock declined following its late-July earnings release, precisely because investors were unsettled by its hefty capital expenditures and negative free cash flow. As previously reported by Bloomberg, the company unveiled a spending plan of up to $205 billion, triggering concerns about runaway AI costs.

Divatia elaborated: "Capital expenditures will increase significantly next year, free cash flow will turn negative, the company has already issued equity, and it's borrowing heavily on a large scale. Much of investors' anxiety stems from this — the company is funding this AGI race through equity and debt markets, which makes them uneasy."

This predicament is not unique to Alphabet. Investors across the technology sector are increasingly demanding proof of returns from data center investments made by major AI players. The Nasdaq 100 Index, heavily weighted toward tech stocks, has failed to set new highs since May. Macro-level factors including Middle East tensions, US-Canada trade frictions, and expectations of rate hikes driven by persistent inflation are also weighing on market sentiment.

Bull-Bear Divergence: Next Catalyst Awaits in Earnings

Despite the stock price pressure, some investors remain optimistic about Alphabet's long-term prospects. Daniel Pilling, Portfolio Manager at Sands Capital Management, suggested that talent movement might not be detrimental: "Perhaps this is a good thing. Maybe you need fresh people to try and get Google back to where it should be. They have one of the best chips in the world and possibly one of the largest computing clusters globally — they ought to be able to succeed."

Over a longer timeframe, Alphabet has still recorded roughly 65% gains over the past 12 months, outperforming the broader market and other members of the "Magnificent Seven."

However, market patience is thinning. Melissa Otto, Head of Technology, Media, and Telecommunications Research at Visible Alpha, remarked: "I don't care so much about the specific individual. I care more about how they articulate AI performance on the next earnings call and how it will genuinely translate into fundamental growth. To some extent, that remains an open question."