TESLA AND GOOGLE Q2 2026 EARNINGS LIVE

SUMMARY

Amit Kukreja hosts a detailed live analysis of Google and Tesla's Q2 2026 earnings, joined by Tanner and Jose, focusing on the implications of surging capital expenditures, cloud growth, and AI infrastructure investments. The discussion covers financial results, strategic priorities, and the broader impact on the tech and semiconductor sectors.

MAIN POINTS

• UBS and JP Morgan report that Google’s expected capex for 2027 could reach $325-375 billion, far above previous estimates. [1:00]
• Market reactions are mixed as Google’s capex news causes volatility in tech stocks, with Nvidia and Meta also affected. [3:02]
• Concerns rise about cybersecurity and AI infrastructure as U.S. officials address Chinese model distillation and hacking. [5:02]
• Tesla’s recent performance is scrutinized, with attention on cyber cab production, robo taxi expansion, and the energy business. [7:01]
• Software sector faces pressure as IT spend shifts to capex, with Service Now and IBM earnings seen as key indicators. [9:01]
• Analysts debate whether Google must disclose drastic capex increases this quarter or wait until later in the year. [11:01]
• Market closes with Google, Tesla, and other major tech stocks awaiting earnings releases amid sector-wide jitters. [13:01]
• Google reports Q2 capex of $44.9 billion, revenue of $119.8 billion, and an 82% year-over-year jump in cloud revenue. [15:01]
• Tesla beats on revenue but misses on EPS and gross margin, with free cash flow less negative than expected. [18:00]
• Google’s free cash flow turns negative for the first time, attributed to heavy AI and chip investments. [21:02]
• Google Cloud posts record operating margins, dispelling concerns about profitability of new data centers. [22:00]
• Service Now raises fiscal year guidance and beats on both EPS and revenue, highlighting strong AI-driven growth. [24:00]
• Google’s earnings are seen as stable, with cloud and YouTube outperforming, but margins slightly below expectations. [26:01]
• Debate emerges over whether Google should cut capex to boost free cash flow or maintain spending to defend cloud leadership. [28:00]
• Google’s AI infrastructure, Gemini adoption, and security offerings are detailed, with 950 million Gemini MAUs and 22 billion API tokens processed per minute. [31:00]
• Tesla provides updates on Optimus robot production, robo taxi rollout in seven U.S. metros, and Megaactory Texas nearing completion. [34:00]
• Google’s ad business shows resilience, with YouTube revenue beating expectations and new AI-powered ad formats gaining traction. [37:01]
• Service Now CEO emphasizes the company’s cybersecurity leadership and AI control tower, positioning it as a key enterprise player. [41:02]
• Google’s earnings call highlights AI advancements, Gemini model launches, and surging cloud backlog to $514 billion. [45:02]
• Google Cloud’s AI-powered security platform sees rapid adoption, protecting critical infrastructure across industries. [53:02]
• Google details how Gemini AI models are enhancing ad quality, advertiser tools, and new user experiences across search and YouTube. [57:00]
• Alphabet’s CFO outlines the financials: 24% revenue growth, $44.9 billion capex, negative free cash flow, and increased technical infrastructure investment. [1:04:03]
• Google raises 2026 capex guidance to $195-205 billion and signals a significant increase for 2027, causing after-hours stock declines. [1:11:01]
• Google management reiterates bullishness on AI opportunities and willingness to invest aggressively amid ongoing supply constraints. [1:16:03]
• Google discusses TPU system sales, balancing internal and external demand, and the impact on cloud revenue recognition. [1:24:02]
• Google attributes search and YouTube ad growth to Gemini AI integration, improved targeting, and new ad formats. [1:36:00]
• Tesla’s call focuses on FSD adoption, Optimus robot production challenges, and massive capex for AI and energy infrastructure. [1:46:00]
• Tesla highlights exponential growth in robo taxi miles, safety record, and plans for rapid city expansion. [2:08:01]
• Tesla outlines plans for more vertically integrated Optimus production and next-generation AI chips, with ambitious scaling targets. [2:37:01]
• Tesla discusses energy storage demand, grid balancing, and the crucial role of batteries in supporting AI data center power needs. [2:47:01]
• Panelists reflect on Service Now’s strong quarter, Google’s capex-driven strategy, and Tesla’s muted outlook, with semiconductors seen as the main beneficiaries. [3:00:01]

DETAILED ANALYSIS

The Q2 2026 earnings season for Google (Alphabet) and Tesla unfolded against a backdrop of heightened expectations for capital expenditure and AI-driven growth, with both companies at the center of the technology and infrastructure investment cycle. Analyst commentary and live reactions throughout the call underscored the market’s focus on capex, cloud growth, and the competitive landscape for AI infrastructure.

Google’s reported capex for the quarter reached $44.9 billion, beating consensus estimates and reflecting the company’s aggressive push to expand its AI and cloud capabilities. This spending surge, coupled with a revised full-year 2026 capex guidance of $195-205 billion (up from $180-190 billion), signals Alphabet’s commitment to maintaining leadership in AI infrastructure. The company also hinted at a “significant” capex increase for 2027, with buy-side estimates from UBS and JP Morgan suggesting a potential jump to $325-375 billion.

This level of investment, nearly double prior expectations, marks a historic acceleration in tech infrastructure buildout.

Financially, Google delivered strong headline numbers: Q2 revenue of $119.8 billion (up 24% year-over-year), operating income of $40.7 billion, and a remarkable 82% year-over-year growth in cloud revenue to $24.8 billion. The cloud segment’s operating margin reached a record 35.6%, dispelling concerns that newer data centers would be less profitable than legacy infrastructure. However, the company’s free cash flow turned negative for the first time in recent memory, at -$5.9 billion, attributed to the heavy investments in technical infrastructure, particularly AI chips and data centers.

This reversal from previous quarters of robust free cash flow is a direct consequence of the capex surge and is expected to persist as Google continues to scale its AI and cloud platforms.

The earnings call highlighted the strategic rationale for this spending: Google’s AI models, particularly the Gemini family, are seeing explosive adoption. Gemini’s monthly active users reached 950 million, with 22 billion API tokens processed per minute, and nearly 90% of Fortune 100 companies are using Gemini Enterprise. The cloud backlog soared to $514 billion, with management indicating that over half of this will be recognized as revenue within the next 24 months.

Google’s AI-powered security platform is also gaining traction, with 90% of Fortune 100 companies utilizing its features and a 45% quarter-over-quarter increase in AI workload protection.

Advertising remains a core driver, with search and YouTube ad revenues growing 17% and 13% respectively. The integration of Gemini AI models into ad infrastructure has led to improved targeting, higher conversion rates, and new ad formats, such as contextual site links and shoppable ads in YouTube’s living room experience. YouTube’s engagement reached new highs during the FIFA World Cup, with over 1.7 billion unique viewers for related content.

Despite these operational successes, the market’s reaction was muted. Google’s stock initially dipped after-hours, reflecting investor concerns about the sustainability of negative free cash flow and the long-term returns on such massive capex outlays. Management addressed these concerns by emphasizing a disciplined, multi-year investment approach, balancing operational cash flow, debt, and equity to maintain a healthy balance sheet.

The company’s willingness to take on short-term margin pressure in exchange for long-term AI leadership was reiterated, with supply constraints in compute capacity cited as a key bottleneck.

Tesla’s Q2 2026 results presented a contrasting narrative. The company beat revenue expectations with $28.2 billion but missed on EPS (32 cents vs. 33 cents expected) and gross margin (16.8% vs. 19.4% expected). Free cash flow was negative $1.09 billion, better than feared but still reflecting the impact of elevated capex, which is expected to exceed $25 billion for the year and continue rising over the next two to three years.

Tesla’s capex is being funneled into expanding the robo taxi fleet, scaling Optimus robot production, building a semiconductor fab, and increasing solar manufacturing capacity.

Operationally, Tesla reported record Q2 deliveries and a growing order backlog, with FSD (Full Self-Driving) subscriptions reaching 1.48 million globally. The attach rate for FSD in North America stood at 55% of new deliveries. The energy business saw a 53% sequential increase in storage deployments, though margins declined due to warranty adjustments and competitive pricing pressures.

Tesla’s management, including Elon Musk, emphasized the immense challenges in scaling Optimus robot production, citing the lack of existing supply chains and the unprecedented complexity of manufacturing a humanoid robot with human-level dexterity. The company’s roadmap includes a vertically integrated approach for future Optimus generations and ambitious plans for AI chip development (AI4, AI5, and AI6), with significant support from partners like Samsung, TSMC, and Micron.

The robo taxi program was highlighted as a major growth driver, with 380,000 miles of unsupervised operation across six cities and an impeccable safety record. Tesla’s strategy involves expanding city-by-city to address regulatory requirements and operational challenges, with the goal of achieving exponential growth in autonomous miles driven. The company also discussed the potential for Starlink integration in vehicles to ensure connectivity for robo taxis, especially in areas with poor cellular coverage.

Both Google and Tesla’s calls underscored the centrality of AI infrastructure to their future growth. Google’s willingness to accept negative free cash flow in pursuit of AI leadership mirrors Tesla’s aggressive investment in autonomy, robotics, and energy. The panel discussion noted that these capex trends are highly favorable for semiconductor companies like Nvidia and Micron, as hyperscalers and automakers alike race to secure the compute resources needed for next-generation AI models and autonomous systems.

Service Now was also discussed as a standout in the software sector, raising guidance and emphasizing its position as a leading AI and cybersecurity platform. The company’s CEO, Bill McDermott, highlighted the importance of AI control towers for business reinvention and the growing demand for cybersecurity solutions amid high-profile incidents involving OpenAI and Hugging Face. Service Now’s results, with 24% year-over-year revenue growth and strong margins, contrasted with the broader software sector, which has faced headwinds from IT spend shifting to capex and AI infrastructure.

Looking ahead, the consensus among analysts is that the current capex cycle is far from over. Google’s guidance for a “significant” increase in 2027 capex, coupled with similar signals from Microsoft, Amazon, and Meta, suggests that the semiconductor and AI infrastructure sectors will continue to benefit from sustained demand. The key risk for investors is the duration of negative free cash flow at the hyperscalers and the eventual normalization of capex as AI infrastructure matures.

For now, however, the AI arms race shows no sign of abating, with both Google and Tesla doubling down on their respective visions for the future of technology.

LINKS

• Amit Kukreja's Twitter (X) profile for updates and insights.
• Amit's Deep Dives Substack for in-depth analysis and research.
• Free news terminal offering financial news and market data.
• Alphabet (Google) Investor Relations website with earnings releases and financial reports.

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