Tech investors are bracing for a pivotal earnings season as Meta, Alphabet, and Amazon prepare to report later this month. The S&P 500 dropped 0.4% in September amid worries about inflation and AI spending, but the tech sector shows some optimism—44 companies have given positive third-quarter guidance, double the five-year average of 23. How much these giants reveal about AI infrastructure demand could shape market confidence through year-end.
Alphabet's Gemini assistant has now reached 1 billion users, a milestone that underscores the growing adoption of AI tools among consumers. Meanwhile, Meta continues pushing its own AI monetization strategy, and Amazon's custom silicon is drawing strong interest from cloud customers looking for alternatives to off-the-shelf chips.
In the legal sector, five former Big Law attorneys who have moved into AI roles are pointing out where law firms are overspending on AI tools. With millions being poured into AI deployments, these insiders argue that smarter implementation could cut waste and deliver real efficiency gains rather than flashy but underused software.
AI is also making waves in healthcare. Start-ups like BioinvestGPT and QuantHealth are running virtual drug trials that simulate patient outcomes, helping pharmaceutical companies avoid costly failures. The industry spends 140 billion dollars a year on clinical testing, yet only 12% of drugs gain approval. AI simulations can complete in a month what real trials take years to do, and BioinvestGPT has been right in five of six predictions so far.
On the finance side, Jump Trading is putting OpenAI's GPT-6 Astra to work on complex quantitative research. Head of LLM R&D Lucas Baker said the model lets AI agents run multi-day workflows with minimal human oversight. Researchers set a problem and let agents explore, analyze, and iterate independently, though human review still happens at key checkpoints to meet regulatory standards.
Across the Pacific, Australian tech leaders are telling a parliamentary inquiry that roughly 90 percent of the country's AI tasks could be handled by cheaper locally trained models. Rupert Taylor Price of Vault Cloud argued these models need only be slightly less capable than frontier systems from OpenAI and Anthropic. Despite that potential, Australia is lagging in investment, and leaders are calling for stronger domestic AI infrastructure.
Alibaba co-founder Joe Tsai is making a case for open-source AI as a path to sovereignty, telling a gathering in Turin that Europe should build its own data centers and train models on local industrial data. He pointed out that China open-sources its model work while some US labs have stopped publishing. Tsai warned that closed models from other countries could be switched off at any time.
Nonprofits are getting their own AI boost. Givebutter launched Givebutter Magic, a toolkit that helps organizations create campaigns, set fundraising goals, summarize donor contacts, and plug into apps like ChatGPT and Claude. The company also rolled out a rebuilt email editor, video messaging, pre-built reports, and a Wix integration, all unveiled at The Spread event on October 1.
In funding news, former Ramp founders raised 25 million dollars for Melius, an AI creative platform that helps users generate images, videos, and ad campaigns. The team scrapped an earlier project and rebuilt from scratch to focus on creative tools. California, for its part, has formed a panel to study whether a kill switch for AI systems should be implemented, addressing growing safety concerns.
AppFolio expanded its Realm X AI and AppFolio Performance Platform at its FUTURE conference, adding memory, skills, and new accounting tools. However, UBS downgraded the stock to neutral, citing slower revenue growth tied to higher interest rates and softer multifamily construction. Investors are now watching how quickly customers adopt the Realm X automation features.
Key Takeaways
- <ul><li>Meta, Alphabet, and Amazon report earnings this month, with 44 tech companies giving positive Q3 guidance versus a five-year average of 23.</li><li>Alphabet's Gemini has reached 1 billion users, signaling strong consumer adoption of AI assistants.</li><li>AI virtual drug trial start-ups like BioinvestGPT and QuantHealth are helping pharma avoid costly failures, with BioinvestGPT correct in five of six predictions.</li><li>Jump Trading uses OpenAI's GPT-6 Astra to let AI agents run multi-day quant research workflows with minimal human intervention.</li><li>Australian tech leaders say 90% of the country's AI tasks could run on cheaper locally trained models, but investment lags behind frontier labs like OpenAI and Anthropic.</li><li>Alibaba's Joe Tsai urges Europe to adopt open-source AI and build domestic data centers to maintain technology sovereignty.</li><li>Givebutter launched Givebutter Magic, AI tools for nonprofits that integrate with ChatGPT and Claude, alongside new email and video features.</li><li>Former Ramp founders raised 25 million dollars for Melius, an AI creative platform for images, videos, and ad campaigns.</li><li>California has formed a panel to study whether a kill switch for AI systems is needed for safety.</li><li>AppFolio expanded Realm X AI with memory and accounting tools, but UBS downgraded it to neutral over slower revenue growth.</li></ul>
Top AI Stocks to Watch This October as Earnings Approach
The S&P 500 fell 0.4% in September due to concerns about inflation and AI spending. Tech companies are expected to report earnings later this month and may influence the market through year-end. Meta, Alphabet, and Amazon are three top AI stocks investors should watch. Meta is working on AI monetization while Alphabet's Gemini reached 1 billion users. Amazon's custom chips are seeing strong demand.
Top AI Stocks to Watch This October as Earnings Approach
Tech companies are about to report earnings and could set the tone for the rest of the market. The tech sector has 44 companies giving positive earnings guidance for the third quarter, compared to a five-year average of 23. Investors are watching closely for signs about AI infrastructure spending. These earnings reports may reveal what is next for artificial intelligence.
Top AI Stocks to Watch This October as Earnings Approach
Three major AI companies are expected to report earnings later this month. Investors should pay close attention to demand strength and spending levels in these reports. September was a weak month for the S&P 500, which dropped 0.4%. Concerns about inflation, Iran, and AI infrastructure spending have pressured the market. Strong results from these tech giants could boost market confidence.
AI Companies Run Virtual Drug Trials to Improve Success Rates
AI start-up BioinvestGPT correctly predicted that Novartis' del-desiran would fail in a real trial. These companies use simulations to help drugmakers avoid costly human trial failures. The biopharmaceutical industry spends 140 billion dollars a year on clinical testing, but only 12% of drugs get approved. AI simulations take a month or less, while real trials take years. BioinvestGPT has been correct in five out of six predictions so far.
AI Companies Run Virtual Drug Trials to Improve Success Rates
AI firms are working with drugmakers to run virtual trials that predict if medicines will work. QuantHealth, based in Tel Aviv, uses AI to simulate patient responses to therapies. Investment in AI drug discovery doubled to 8.4 billion dollars in 2025 compared to 2023. US health regulators recently announced plans to speed up drug trials. However, AI predictions are not always right, as shown when BioinvestGPT incorrectly predicted success for Novartis' pelacarsen.
AI execs pinpoint where law firms waste money on AI
Five former Big Law lawyers turned AI professionals shared their views on AI spending in law firms. They explained where firms commonly waste money and where AI could create real value. The discussion highlights that law firms are investing millions in AI. Better deployment of AI tools could help firms save money and work more efficiently.
Jump Trading uses GPT-6 Astra to scale quant research
Jump Trading is using GPT-6 Astra from OpenAI to tackle longer and more complex research problems. Lucas Baker, Head of LLM R&D, said the new model allows AI agents to run multi-day workflows with less human intervention. Researchers can define problems and let agents explore, analyze, and improve results on their own. Human review still happens at key points to ensure quality and compliance in the regulated finance industry.
Australian tech leaders urge investment in local AI models
Tech leaders told a parliamentary inquiry that about 90 percent of Australia's AI tasks could be handled by cheaper locally trained models. Rupert Taylor Price of Vault Cloud said these models only need to be slightly less capable than frontier labs like OpenAI and Anthropic. Despite this potential, Australia is falling behind in investing in domestic AI capability. The leaders called for greater focus on building local AI infrastructure.
Alibaba's Joe Tsai says open source is key to AI sovereignty
Alibaba co-founder Joe Tsai said Europe should use open-source AI to become independent in technology. He spoke at Wave by Vento in Turin and stressed that closed models from other countries could be switched off. Tsai said China open-sources its model work while some US labs no longer publish. He urged Europe to build more data centers and train models on its own industrial data. He noted the talent already exists in Europe but investment is still lacking.
Givebutter launches AI tools for nonprofits
Givebutter introduced Givebutter Magic, a set of AI tools built specifically for nonprofits. The tools help create campaigns, suggest fundraising goals, summarize donor contacts, and connect to AI apps like ChatGPT and Claude. The company also announced a rebuilt email editor, video messaging, pre-built reports, mobile check acceptance, and a Wix integration. These updates were revealed at The Spread event on October 1, 2026.
California governor forms AI panel to consider kill switch
California's governor created a special panel to study artificial intelligence. The group will explore whether a kill switch for AI systems is needed. The panel aims to address safety concerns around powerful AI technology.
Ramp veterans raise $25 million for AI platform Melius
Former Ramp founders raised $25 million for their AI creative platform called Melius. The funding was announced on October 6. Melius helps people use AI to create images, videos and ad campaigns. The team scrapped their earlier project and rebuilt it to focus on creative tools.
UBS downgrade raises questions for AppFolio investors
AppFolio expanded its Realm X AI and AppFolio Performance Platform at its FUTURE conference. The updates added memory, skills and new accounting tools. UBS downgraded AppFolio to a neutral rating due to slower revenue growth from higher interest rates and softer multifamily construction. Investors now watch how quickly customers adopt Realm X automation.
Sources
- 3 Top AI Stocks to Watch in October: They May Set the Tone for the Rest of the Market.
- 3 Top AI Stocks to Watch in October: They May Set the Tone for the Rest of the Market.
- 3 Top AI Stocks to Watch in October: They May Set the Tone for the Rest of the Market.
- AI companies run virtual drug trials, aim to improve success of human studies
- Focus: AI companies run virtual drug trials, aim to improve success of human studies
- Five AI Execs on Where Law Firms Are Wasting and May Make Money on AI
- How Jump Trading is scaling quant research with ChatGPT
- Tech leaders say local models can handle 90 per cent of tasks and call for greater Australia AI investment
- Joe Tsai: open source is ‘the only way to go’ for AI sovereignty
- Givebutter Unveils Suite of AI Tools for Nonprofits and More New Features at The Spread
- California governor convenes AI panel to ponder 'kill switch'
- Ramp Veterans Raise $25 Million for AI Creative Platform Melius
- Should UBS Downgrade Require Action From AppFolio Stock Investors?
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