GEMINI AI MODEL
AI Can Measure How ESG Really Impacts the Bottom Line
Advances in large language models are making rigorous sustainability analysis dramatically faster and cheaper, allowing investors and other stakeholders to connect companies’ disclosed environmental and social risks directly to financialperformance in a matter of hours rather than weeks. Applying a simple methodology to ExxonMobil, the authors used AI to map sustainability-related issues to specific financial statement line items and estimate their impact on earnings and value, demonstrating both the promise and the limitations of AI-assisted analysis. As these capabilities become widely accessible, the competitive advantage long held by ESG ratings agencies, standard setters, and sustainable fund managers may erode, shifting attention from proprietary scores toward transparent assumptions and financial consequences. Human judgment remains essential to validate AI-generated outputs, but the broader trend is clear: sustainability analysis is becoming more democratized, financially grounded, and adaptable, with significant implications for how investors, regulators, and other institutions assess corporate performance and value creation.
Google Pixel 11 Pro XL review: Google's most complete Pixel yet, but can it win over iPhone users?
Google Pixel 11 Pro XL is Google's most complete flagship yet, with a premium design, excellent display, reliable battery life and improved cameras. While its Tensor G6 processor trails Apple's latest iPhone in raw performance, its smooth software, seven years of updates and better video recording make it a compelling Android alternative. Priced at ₹1,34,999, it is particularly appealing to iPhone users considering a switch.
Carl Pei teases Nothing’s first AI-native product; says it 'couldn't have been an app'
Nothing will launch its first AI-native product in December with a focus on productivity. The chief executive, Carl Pei, provided limited details about the product’s functions. It is suggested that the product may help users capture conversations and take notes. Other companies are also exploring wearable AI devices that focus on companionship or productivity.
Apple cuts employee AI budgets in cost-control push
Apple has reduced employee budgets for AI usage as part of a broader effort to rein in costs, even as it seeks to expand the use of AI across its operations, Bloomberg News reported on Wednesday, citing people familiar with the matter.
Google loses nearly half a trillion in market value: What went wrong with Alphabet?
Alphabet lost $482 billion in market value after its shares plunged nearly 13% following disappointing third-quarter results. Despite 103% growth in Google Cloud and more than 1 billion Gemini users, weaker search revenue and negative free cash flow raised fresh concerns about AI spending and Google’s advertising business.
Apple beats sales and profit expectations but AI costs weigh on holiday sales
Apple exceeded analysts' expectations for its latest results on Monday when the iPhone-maker said it notched a "revenue record" for the July-September quarter, driven by iPhone sales and services revenue, but increased costs related to AI will drag down margins. This includes primarily the impact of higher memory costs, as well as some costs related to the ramp of Siri AI," Parekh said.
Mistral AI publicly releases Large 4, targets cybersecurity users
Mistral said the released version was an upgrade from the one unveiled three weeks ago, following testing with governments and corporate users, which helped improve its performance.
Is India prepared to tackle 369 million cybersecurity incidents and AI challenges ahead?
India experienced a notable increase in cybersecurity incidents which has raised concerns over its infrastructure and talent shortages. The adoption of AI is rising, yet the country lags behind others in global rankings. Challenges related to AI, such as data protection and algorithmic liability, are becoming more complex. To address these issues, comprehensive regulatory frameworks and national legislation are urgently needed.
Google AI avoids answering who won 2020 US presidential election, sparking debate: Here’s what we know
Google AI faced backlash for failing to accurately respond to queries about the 2020 US presidential election results. Users noticed discrepancies between responses for the 2020 and 2016 elections, which sparked concern. Critics suggested the issue implicates political intervention in AI output, while others attributed it to training errors. Google acknowledged the problem and indicated that it is working on solutions for the affected datasets.
Alphabet’s AI risks deepen as filing reveals $98 billion in commitments beyond the $1 trillion spending
In a recent regulatory disclosure, Alphabet reveals financial risks linked to its massive AI investments that surpass $1 trillion. The firm might be burdened with nearly $98.5 billion in contingent commitments, including data center leases and chip system repurchases. There are growing apprehensions about the sustainability of Google Cloud's expansion due to a substantial backlog from its collaboration with Blackstone.
Software stocks slide as Fortinet, ServiceNow fail to meet lofty investor expectations
Software companies have been under intense scrutiny this year as investors weigh the likelihood of newer AI models disrupting traditional business models. The S&P 500 Software & Services Index has managed a 6% year-to-date rise, just about half the gains recorded by the S&P 500.
Snowflake and Databricks CEOs debate growth and AI; reactions follow
Sridhar Ramaswamy of Snowflake voiced concerns on social media questioning Databricks’ impressive 80% growth rate. He sought clarity on crucial aspects like free cash flow, obligations, and adjusted margins. In response, Databricks CEO Ali Ghodsi acknowledged their competitive dynamics while suggesting a collaborative potential. This dialogue sparked varied reactions, underscoring the complexities of financial disclosures. Ramaswamy also advocated for unified regulations on artificial intelligence across various models and entities.
Alphabet's heavy cloud spending drives bigger-than-expected cash burn
The company reported negative free cash flow of $9.07 billion, compared with analysts' estimate of a cash burn of $36 million, according to data compiled by LSEG.
Shares in Google owner Alphabet sink on profit miss, ad slowdown
Alphabet has witnessed a notable decline in its net profit and advertising revenue for the third quarter, specifically from July to September. The net profit dropped 25 percent to $26.2 billion, which fell short of analyst predictions. While YouTube's revenue growth has decelerated, Google Cloud's revenue impressive surged by 103 percent. The company reports substantial capital expenditures at $51.
Google launches Gemini 4 Carbon AI model with cybersecurity focus
The launch comes two weeks after Google introduced Gemini 4 Argon, as the company expands its Gemini family of AI models for developers and enterprise customers.
Anthropic unveils additional Claude tools for lawyers
The new tools, which Anthropic calls artifacts, allow users to more easily create alternatives within Claude's traditional chatbot interface, the company said. They cover work areas that Anthropic said legal teams have asked about most often, including citation checking, mapping regulations and comparing legal topics.
Google Cloud showcases AI tools to help Indian SMBs boost productivity, automate operations
The demonstration took place at Cloud Day India 2026 in New Delhi, which was attended by more than 600 business and technology leaders. The event was held under the theme 'Any size. Every scale. AI that works for you'.
Pepper crosses $11 million ARR as SEO and GEO pivot pays off, eyes $30 million in 12 months
The eight-year-old content platform says it is already profitable and expects roughly ₹20 crore EBITDA this financial year, with the US driving most of its growth
IndiaMART bets on AI to sharpen its edge, but warns of uncertain returns
IndiaMART InterMESH Ltd reported a 9.8% increase in net profit for the second quarter of 2026. The company has integrated artificial intelligence into over 20 operational functions, enhancing various processes. AI models such as ChatGPT and Claude are utilized to optimize operations and improve efficiency. Revenue for the quarter increased by 9.7%, reaching ₹429 crore, reflecting growth in the standalone business.
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