Latest news with #GenerativeSearch
CNBC
3 days ago
- Business
- CNBC
Former Wall Street analyst building market AI on why stock pickers won't go extinct
Wall Street isn't immune from the plot line that has generative AI resulting in wholesale knowledge worker replacement. A new tool from AlphaSense, called Deep Research, won't provide any comfort. The generative AI agent functions like a team of analysts operating at what AlphaSense calls "superhuman speed," generating research and market insights, and building investment-grade briefings. But Jack Kokko, AlphaSense CEO and a former Morgan Stanley analyst and Wharton School MBA, isn't worried about the job outlook for Wall Street professionals. "It's a popular narrative," Kokko told CNBC of the job replacement fears during an interview on "The Exchange" on Tuesday after AlphaSense ranked No. 8 on the 2025 CNBC Disruptor 50 list. "But I would not be so sure," he said. What Deep Research does is tap into the AlphaSense universe of more than 500 million business and financial documents, which includes filings, press releases, content about public and private companies, and expert insights based on call transcripts. Last year, the company spent nearly $1 billion to buy Tegus and its library of a quarter-million business-focused interviews. "There are a hundred on a single company, and no human can read it all, but Deep Research will read it all and ask questions," Kokko said. It will answer questions too, ones that Wall Street analysts are often paid to field, within minutes. The company, which dates back to 2011 and has had Goldman Sachs Growth Asset Management as an investor since its origin, already offers rapid summaries of equity research and real-time customizable reports. And it already has a tool called Generative Search designed to think like an analyst, ask natural language questions and receive precise insights sourced from AlphaSense's content, which covers 37 languages. Any of of its enterprise intelligence customers in equities research, corporate development and finance, on or off Wall Street, will be able to plug their internal document libraries into Deep Research, which will then be able to take both pro and con positions, and offer internal and external perspectives, in a report generated in record time. "It would have taken a human analyst days or weeks," Kokko said. "I was an analyst," he added. The company says it counts majority of the S&P 100 as clients. That client base grew by about 25% in 2024, to more than 5,000, including Amazon, Nvidia, Microsoft, Pfizer and JPMorgan. For companies making investments that run into the millions or billions of dollars, being able to make these decisions on the back of all of this information is a revelation, Kokko said, citing the experience of a private equity firm that told AlphaSense that Deep Research did the same or even better on a report the AI ran than its in-house analysts could do in weeks. There are plenty of reasons to believe that this is all bad news for knowledge professionals like finance bros. And more CEOs are starting to talk that way, from Shopify's CEO who recently said no job hire requisitions will be approved unless a manager can prove that the job can't be done by AI, to fellow Disruptor Anthropic's CEO Dario Amodei, who recently said AI would wipe out up to half of entry-level office jobs and whose latest Claude model can work 7 hours straight without a break or burnout. Wall Street's long embrace of AI has only accelerated in the wake of OpenAI's arrival in 2022. Last August, JPMorgan Chase rolled out a generative artificial intelligence assistant to employees that can help them with tasks like writing emails and reports, while Morgan Stanley has already released a pair of OpenAI-powered tools for its financial advisors. In January, Goldman Sachs gave its bankers, traders and asset managers access to a generative AI assistant the first stage in the evolution of a program that will eventually take on the traits of a seasoned Goldman employee, Goldman Sachs Chief Information Officer Marco Argenti told CNBC. But Kokko is still of the belief that the latest AI will enhance the jobs of Wall Street analysts rather than threaten them. "What it does is make human analysts and business people so much more productive," he said. "That person will be operating with a higher ROI [return on investment] and companies don't cut high ROI people," he added. What AI job doomsday soothsayers are dismissing too easily today is "the top line expansion that comes from being able to do things in a much more agile way," Kokko said. "It's 10x prior productivity when it is you and the machine," he added.
Yahoo
26-05-2025
- Business
- Yahoo
Generative Search Visibility Gives Businesses an Edge in AI Search
Built by Frank Masotti, Generative Search Visibility is a groundbreaking done-for-you service that helps businesses get discovered in AI Overviews and AI responses. Tucson AZ , May 26, 2025 (GLOBE NEWSWIRE) -- As large language models (LLMs) quickly become the main source for consumer recommendations and decision-making, businesses struggle to stay visible. With natural-language AI queries replacing traditional search engines, inclusion in AI Overviews and AI responses is the new front line for brand discoverability, where being part of the answer matters more than ranking on a results page. To address this dramatic shift, digital strategist Frank Masotti has launched Generative Search Visibility (GSV), a done-for-you system designed to help companies appear in AI search results. At the heart of GSV are the Generative Search Visibility Deliverables—a suite of digital assets built specifically to surface in AI Overviews and AI responses, offering businesses a powerful new way to stay relevant and competitive in an AI-driven world. Generative Search Visibility 'Traditional SEO just doesn't cut it anymore,' said Masotti. 'With AI-generated answers taking over, it's way more important to show up in AI responses than on a search results page. That's exactly why we built this system—to help businesses stay visible in this new landscape.' Each client that signs up receives a full range of digital assets, including a clean, search-ready domain registered under Masotti's name, a custom-built website hosted on a private platform, and branded accounts on major social media channels such as Facebook, X, and YouTube. Clients are also granted access to a professional AI video creation account—just like the one Masotti's team uses—enabling fast, professional video content creation with minimal effort. All assets are purpose-built to surface across the most popular LLMs, where most competitors remain completely invisible. The structure of the program emphasizes transparency and ownership. If a client decides to discontinue the service, all assets, including the domain, website (excluding proprietary plugins), social media credentials, and video creation accounts, are transferred to the client without restriction or ongoing obligation. The Generative Search Visibility Deliverables system is priced at $5,000 for setup and $5,000 per month for execution. However, in a limited-time early bird offer, the next five businesses to sign up will receive $2,000 off both setup and monthly fees for life. That means they will pay just $3,000 for setup and $3,000 per month—permanently. To learn more about Generative Search Visibility and how it helps businesses get discovered in LLMs, visit About Generative Search Visibility Generative Search Visibility (GSV) is a breakthrough visibility system created by digital strategist Frank Masotti to help businesses get recognized by popular LLMs. Instead of focusing on traditional search rankings, GSV creates and manages digital assets optimized for inclusion in AI Overviews and AI responses. The system offers a fully managed, transferable solution that ensures businesses can compete where it matters most—within the answers generated by AI. ### Media Contact Generative Search Visibility Address: 12621 N Tatum Blvd #2057, Phoenix, AZ 85032 Phone: (520) 820-6555 Website: Disclaimer This press release contains forward-looking statements that involve risks and uncertainties. Actual results, events and performance could vary materially from those contemplated by these forward-looking statements. Any statements in this press release about expectations, beliefs, plans, projections, forecasts, objectives, assumptions or future events or performance are not historical facts and are forward-looking statements. These statements are often, but not always, made through the use of words or phrases such as "may," "will," "anticipate," "estimate," "plan," "project," "continuing," "ongoing," "expect," "believe," "intend," "predict," "potential," "opportunity" and similar words or phrases or the negatives of these words or phrases. You should read statements that contain these words carefully. The forward-looking statements contained in this press release involve known and unknown risks, uncertainties and other factors that may cause actual results, performance or achievements to be materially different from any future results, performance or achievements expressed or implied by the forward-looking statements. Various factors could cause actual events, results or performance to differ materially from those predicted in the forward-looking statements, including changes in general economic, business and political conditions, changes in the competitive landscape, regulatory initiatives and compliance with governmental regulations, and other factors not currently known or foreseeable. We undertake no obligation to update or revise any forward-looking statements included in this press release if our expectations or situations change, except as may be required by applicable laws. Please consult our Generative Search Visibility for additional information and disclosures regarding the matters covered in this press release.
