AI Insights
I bombed algebra in high school. ChatGPT’s new Study Mode is my redemption arc
Welcome to Eye on AI. AI reporter Sharon Goldman here for the Thursday newsletter! In this edition...back-to-school with ChatGPT’s new Study Mode…Microsoft signs on to EU’s AI Code of Practice, but Meta has declined…OpenAI launches Stargate Norway, its first AI data center initiative in Europe…AI researchers are approaching the job market like NBA stars.
This week, I got a sneak peek at ChatGPT’s new Study Mode during an OpenAI press demo on Zoom, ahead of its Tuesday release.
Toggling the tool button in the “Ask Anything” chat to “Study and Learn” transforms ChatGPT from a straightforward Q&A assistant into a personalized tutor. Instead of simply spitting out answers, it uses Socratic questioning, hints, and step-by-step guidance to encourage active learning. Tell it what you want to study, and it will assess your skill level and even remember your progress across chats.
As I watched the demo, my eyes widened and my breath quickened. Study Mode may have been designed with college students in mind—powered by system instructions crafted with input from teachers, scientists, and learning experts. But while it’s been several decades since my own academic experience, I instantly knew that I wanted to use Study Mode. And I knew exactly what I wanted to use it for: high school algebra.
My math failure shaped my life
Along with the rest of the math curriculum in those years, I completely bombed in algebra—and I can’t overstate how much that failure shaped my life. I carried a deep sense of shame about how hard math was for me, even with tutors. It stood in stark contrast to how easily I excelled in subjects like English and social studies, and it felt like no one really understood how curious I actually was about math. There were so many questions that were never answered. What is algebra, anyway? Why do we learn it in the first place? Why does it come before geometry and trigonometry? What’s the point of all these rules about x and y?
It might seem ironic, given that I now write about AI and regularly interview researchers with PhDs in mathematics who casually reference linear algebra in conversation. But I’ve always wished I could get a do-over on high school math.
Yes, there are real concerns about how AI will affect student learning—from cheating and over-reliance to privacy and bias. New reporting this week from Rest of World found that when students in rural Colombia gained access to AI, students started failing exams.
But for me, ChatGPT’s new Study Mode is already becoming something deeply personal: a long-overdue redemption arc.
Study Mode at my own pace
I started where I never really could before, and Study Mode immediately had a refreshing response:
“Let’s treat this like the first day of Algebra 1—only better. This time, you get to ask questions whenever you want, and we move at your pace.”
I was on board with that: What is algebra, I asked.
Algebra is the part of math where we stop just working with numbers and start working with relationships between numbers.
Instead of asking:
What’s 3 × 5?
We ask:
What number x would make this equation true?
It’s like math with mystery—something is hidden, and our job is to solve for it.
“Math with mystery”—ooh, I loved that. After giving me the lowdown on the “big ideas” in algebra–everything from solving equations to graphing lines and word problems, Study Mode offered a few options:
Want to:
A) Ask questions about any of this?
B) Choose a puzzle type to start with?
C) Keep going with the intro and build slowly from here?
Your call!
I said I’d like to solve equations. Study Mode dove right in:
🔍 Solving Equations: What’s the Goal?
An equation is like a balance scale—whatever you do to one side, you have to do to the other.
Here’s your first equation:
3x + 4 = 19
👉 What do you think we should do first to start solving for x?
(Just take a guess—we’ll figure it out together.)
The promise of AI-powered personalized learning
I sat back and smiled. Apparently, it’s never too late to solve for x—even for a journalist who always thought she was good with words but terrible with numbers. I spent a couple of hours progressing through one-step and two-step equations; equations with variables on both sides; equations with parentheses; and equations combining like terms. I asked lots of questions along the way and occasionally peppered my responses with “Wow!” and “I never knew that!”
Like every AI use case, there are tradeoffs. The risks of over-reliance on AI and diminished critical thinking are real. But I find myself leaning toward the view of my colleague Jeremy Kahn, who, in his recent book Mastering AI: A Survival Guide to Our Superpowered Future, highlights the promise of AI-powered personalized learning. He frames the idea of AI as a one-on-one tutor as one of its most powerful educational opportunities.
My late-in-life return to algebra may not have been OpenAI’s target use case. But who knows—maybe I’ll make it to calculus.
With that, here’s the rest of the AI news.
Sharon Goldman
sharon.goldman@fortune.com
@sharongoldman
AI IN THE NEWS
Microsoft signs on to EU’s AI Code of Practice, but Meta has declined. Microsoft announced Thursday that it has signed on to the European Union’s General-Purpose AI Code of Practice—becoming one of the first major tech companies to formally do so. The move signals Microsoft’s support for the EU’s AI governance framework, even as it calls for simplification of what it describes as a complex regulation. Other companies have also expressed willingness to align with the voluntary code, including OpenAI and Mistral, but notable holdouts remain: Meta has declined to join, and Google has yet to make its position public.
OpenAI launches Stargate Norway, its first AI data center initiative in Europe. OpenAI launched Stargate Norway as part of its broader Stargate program under the OpenAI for Countries initiative launched in May to partner with governments and help them build out their own AI infrastructure, particularly focusing on data centers. The facility—planned for Narvik and backed by Norwegian partners Nscale and Aker—will deliver up to 230MW of AI compute capacity, with plans to scale to 100,000 NVIDIA GPUs by 2026. The project underscores OpenAI’s strategy to partner with governments and industry leaders around the world to build sovereign, sustainable AI infrastructure. It follows Stargate UAE, and is part of a growing global footprint that also includes agreements with the UK, Estonia, and early engagement with the EU’s AI Gigafactories initiative—each aimed at ensuring countries have the compute capacity and ecosystem support to harness AI for national priorities.
AI researchers are approaching the job market like NBA stars. The New York Times has a great story today about the AI talent wars, in which the race to recruit top young AI researchers has become as intense—and lucrative—as signing NBA superstars, with companies like Meta, OpenAI, Google, and Microsoft offering nine-figure compensation packages and engaging in highly publicized hiring battles. Many of these 20-something “AI free agents” are turning to informal agents and entourages to navigate the frenzy and negotiate top deals, unbound by salary caps like those in professional sports. The competition has even taken on the tone of a sports spectacle, with streaming outlets like TBPN covering notable industry job changes with the flair of a league’s trade deadline.
FORTUNE ON AI
Salesforce CEO Marc Benioff on why AI agents won’t lead to mass unemployment—by Jeremy Kahn
Mark Zuckerberg is pouring billions of dollars into AI ‘superintelligence’—so why does his Instagram pitch feel so underwhelming?—by Sharon Goldman
Meta’s Mark Zuckerberg laid out his AI vision that outperformed Q2 expectations and sent shares soaring—by Amanda Gerut
Why Booz Allen’s CTO used generative AI to make a deepfake video of himself—by John Kell
COMMENTARY: Silicon Valley’s billions of dollars on AI haven’t actually generated a return yet. Here’s why most companies should embrace ‘small AI’ instead—by Jason Corso
AI CALENDAR
Sept. 8-10: Fortune Brainstorm Tech, Park City, Utah. Apply to attend here.
Oct. 6-10: World AI Week, Amsterdam
Oct. 21-22: TedAI San Francisco. Apply to attend here.
Dec. 2-7: NeurIPS, San Diego
Dec. 8-9: Fortune Brainstorm AI San Francisco. Apply to attend here.
EYE ON AI NUMBERS
52%
That’s how many developers are not yet using AI agents, according to a new survey of software developers from Stack Overflow, the popular online question-and-answer platform for computer programmers and developers. The study found that AI agents are not yet mainstream: A majority of developers (52%) either don’t use agents or stick to simpler AI tools, and a significant portion (38%) have no plans to adopt them.
AI Insights
Artificial Intelligence News for the Week of September 5; Updates from DeepL, Denodo, Snowflake & More
Solutions Review Executive Editor Tim King curated this list of notable artificial intelligence news for the week of September 5, 2025.
Keeping tabs on all the most relevant artificial intelligence news can be a time-consuming task. As a result, our editorial team aims to provide a summary of the top headlines from the last week in this space. Solutions Review editors will curate vendor product news, mergers and acquisitions, venture capital funding, talent acquisition, and other noteworthy artificial intelligence news items.
For early access to all the expert insights published on Solutions Review, join Insight Jam, a community dedicated to enabling the human conversation on AI.
Artificial Intelligence News for the Week of September 5, 2025
Apiiro Study: AI Coding Assistants Boost Velocity but Multiply Vulnerabilities
A new research blog from Apiiro shows that while AI coding assistants increase engineering velocity by up to 4x, they also introduce tenfold more vulnerabilities in code. Organizations are urged to invest in code review automation, secure coding training, and risk mitigation strategies to close the expanding security gap.
Read more → https://apiiro.com/blog/4x-velocity-10x-vulnerabilities-ai-coding-assistants-are-shipping-more-risks/
Cisco and NVIDIA Expand Secure AI Factory to Accelerate Agentic AI for Enterprises
Cisco, in collaboration with NVIDIA and VAST Data, has announced an expanded Secure AI Factory designed to make enterprise data more accessible, secure, and actionable for agentic AI. The solution leverages the VAST Data InsightEngine, NVIDIA AI Data Platform reference design, and Cisco AI PODs with NVIDIA RTX PRO 6000 Blackwell Server GPUs to drastically reduce latency in retrieval-augmented generation (RAG) pipelines—from minutes to seconds.
Read more → https://www.channele2e.com/news/cisco-secure-ai-factory-with-nvidia-unlocks-enterprise-data-for-agentic-ai
Concentric AI Integrates with OpenAI ChatGPT for Smart Data Security
Concentric AI is now integrating with OpenAI’s ChatGPT to deliver intelligent context-aware data protection capabilities. This partnership enables enterprises to leverage advanced NLP-driven suggestions for sensitive data classification, automated policy enforcement, and proactive risk management in cloud and SaaS environments.
Read more → https://concentric.ai/press-release/concentric-ai-announces-integration-with-openais-chatgpt/
DeepL Unveils Autonomous AI Agent for Business
DeepL has announced its new autonomous AI agent for business applications, offering advanced natural language understanding, translation, and information retrieval. The agent is designed to support customer service, content generation, and multilingual communications for global enterprises.
Read more → https://www.prnewswire.com/news-releases/deepl-unveils-autonomous-ai-agent-for-businesses-302543914.html
DE-CIX Launches World’s First Fully Integrated AI Internet Exchange
DE-CIX has introduced the world’s first AI-integrated Internet Exchange (AI-IX), enabling efficient cross-network connectivity for model training and AI inference. The platform unifies edge, cloud, and analytics traffic to boost throughput, reduce latency, and accelerate enterprise AI adoption.
FICO & Corinium Study: Responsible AI Standards Surpass GenAI Hype for Finance
FICO and Corinium’s latest study finds that global financial institutions are moving beyond GenAI hype, prioritizing responsible AI standards to ensure trust, compliance, and value. Leaders now favor transparency, ethical model development, and rigorous governance to sustain adoption and minimize risk.
Geniez AI Raises $6M Seed Round for AI-Driven Process Automation
Geniez AI, a startup developing automation solutions powered by generative AI, has raised $6 million in seed funding. The capital will be used to advance Geniez’s AI agent platform for automating complex business processes and workflows, focusing on enterprise adoption and rapid go-to-market acceleration.
Read more → https://www.finsmes.com/2025/09/geniez-ai-raises-6m-in-seed-funding.html
Google Cloud Report: 52% of Executives Have Deployed AI Agents for Business Value
A Google Cloud study finds that 52 percent of global executives have already deployed AI agents in their organizations—unlocking significant new business value in customer engagement, productivity, and automation. The survey highlights a growing wave of adoption as leaders recognize agentic AI’s potential to drive competitive transformation.
Gravity Launches Orion Multi-Agent AI for Enterprise Decision Intelligence
Gravity unveiled Orion, a multi-agent AI platform to transform enterprise decision intelligence. Orion uses coordinated AI agents to autonomously collect, enrich, and analyze data across business units, empowering executives with actionable insights for complex decision-making. The platform marks a new milestone in scalable, agent-driven enterprise analytics.
Laserfiche AI Workplace Survey Finds Automation Boosts Retention, Productivity
Laserfiche’s “AI Workplace Survey 2025” highlights that organizations implementing AI-driven automation report significant gains in employee retention and productivity. However, survey respondents emphasize the need for upskilling, change management, and clearer strategies to avoid AI change fatigue. Leaders are encouraged to balance automation with proactive workforce development practices.
Read more → https://www.laserfiche.com/resources/press-center/press/ai-workplace-survey-2025/
Pearson and Cognizant Announce Strategic Partnership for AI-Era Learning
Pearson and Cognizant have formed a global partnership to create new learning and workforce development programs supporting early career growth in the age of AI. The collaboration combines educational technology, professional services, and enterprise AI expertise to deliver career-ready content and improve access to high-demand digital skills.
Qlik Achieves AWS Generative AI Competency
Qlik has attained AWS Generative AI Competency, affirming its excellence in deploying generative AI solutions within the AWS ecosystem. This milestone validates Qlik’s ability to empower customers with scalable generative analytics, AI-driven automation, and secure cloud data integrations.
Read more → https://www.qlik.com/us/news/company/press-room/press-releases/qlik-achieves-aws-generative-ai-competency
Redis Acquires Decodable to Expand Real-Time Context and Memory for AI Agents
Redis has announced the acquisition of real-time data platform Decodable. The move expands Redis’ capabilities for AI, bringing streaming context and memory solutions for agentic AI systems—including advanced retrieval, embedding, and real-time data enrichment. The integration positions Redis as a foundational component for next-generation, memory-enabled enterprise AI.
WisdomAI Unleashes Autonomous AI Data Analyst
WisdomAI has launched its AI-powered data analyst, enabling businesses to automate complex analytics tasks, including report generation, trend analysis, and on-demand insights. The agent simplifies data exploration for non-technical users and speeds up the business intelligence lifecycle.
Read more → https://www.enterprisetimes.co.uk/2025/09/04/wisdomai-unleashes-its-ai-data-analyst/
Expert Insights
Watch this space each week as our editors will share upcoming events, new thought leadership, and the best resources from Insight Jam, Solutions Review’s enterprise tech community where the human conversation around AI is happening. The goal? To help you gain a forward-thinking analysis and remain on-trend through expert advice, best practices, predictions, and vendor-neutral software evaluation tools.
What to Expect at Solutions Review‘s Spotlight with SoftwareOne on September 10: How to Use Copilot Agents
Generative AI has evolved from a tool we harness for productivity to a true collaborator. With Copilot Agents, AI works alongside us to boost creativity, streamline workflows, and provide real-time coaching—becoming a valuable teammate and ushering in the next era of AI-driven productivity.
What to Expect at Solutions Review‘s Industry Trends Session with Denodo on September 16: AI Deep Research
We’ll explore the kinds of questions Deep Research can tackle: Why is customer churn rising in a specific region? How will new regulations impact our supply chain? What is the optimal strategy for entering a new market? These are the complex, open-ended questions that go far beyond dashboards and canned reports, questions that require reasoning, synthesis, and real-time, trusted data.
New Episode of The Cyber Circuit with Michael Morgenstern: The AI Revolution Needs Better Asset Management
From shadow AI implementations draining sensitive data to why “we went too fast with cloud and we’re doing it again,” discover why the organizations that can’t answer “what assets do we have?” are the ones AI will hurt most. Parker reveals why AI represents the fourth industrial revolution and what security leaders must do now before regulatory hammers drop.
SR Thought Leaders: Agentic AI Governance: 4 Criteria to Evaluate Tools by Kevin Petrie
As companies mature, they are taking a more sober view of the opportunity that agentic AI represents. In fact, only 27 percent of executives say they would trust fully autonomous agents for enterprise use, down from 43 percent one year ago, according to a recent Capgemini survey. They recognize the need to manage risks before reaping the innovation benefits of agentic AI. This requires a robust governance program, supported by effective technology.
Editorial: Soft Skills Crisis? Why Gen Z Struggles – and How Leaders Can Help by Dr. Laurie Cure
Soft skills have always played a quiet but powerful role in workplace success. After all, these are the often invisible qualities that allow people to collaborate, resolve issues, and lead with confidence — often the most essential elements for leadership success.
Editorial: The Evolution of Enterprise Data Archives in the AI Era by Archive360’s George Tziahanas
For decades, enterprise data archives have occupied an understated position within organizational IT infrastructure. These vast repositories of information were treated as necessary for meeting legal and regulatory obligations, but only modestly accessed once data was safely stored away. The prevailing approach was simple: keep costs low, ensure compliance, and preserve the data until a court order or regulatory investigation demanded its retrieval.
Editorial: Why Data Quality is the Make-or-Break Factor for AI Success by Semarchy’s Craig Gravina
According to a recent survey of 1,050 senior business leaders across the US, UK, and France, only 46 percent express confidence in the quality of their data. This lack of trust in data quality represents the Achilles’ heel of many promising AI strategies, underscoring a critical truth: without trustworthy data, even the most sophisticated AI initiatives risk falling short of their potential.
For consideration in future artificial intelligence news roundups, send your announcements to the editor: tking@solutionsreview.com.
Agentic AI enables legal professionals to tackle multi-step legal workflows with confidence
Highlights
- Agentic AI evolves beyond standard generative AI by not just creating content, but by autonomously planning, executing, and adapting to complex, multi-step legal workflows like litigation strategy and document analysis.
- By handling routine processes in the background, agentic workflows boost efficiency and free legal professionals to focus on high-value strategic work, though human oversight remains essential for ensuring ethical and accurate outcomes.
- A strong agentic AI solution must be built on trusted, industry-specific content, feature robust security, offer seamless integration with platforms like Westlaw and Microsoft 365, and provide a unified experience for the entire legal workflow.
Like most legal professionals, you probably spend more time than you’d like on routine tasks that take you away from work, like client counseling, strategy development, and analysis. For many firms, generative AI (GenAI) has stepped in to relieve lawyers of some of these repetitive tasks. Agentic AI takes that a step further.
Trained on legal content and workflows, agentic AI does more than just automate. It learns, reasons, and evolves to support your practice. As it adapts to your firm’s operations, it can anticipate your needs, flag relevant precedents, suggest filings, or even drafting strategy briefs ahead of schedule.
Jump to ↓
Agentic workflows are not bots
How to identify a strong agentic AI solution
GenAI vs. agentic AI
Both GenAI and agentic AI use large language models and natural language processing. They both increase efficiency by reducing the time you spend on legal tasks. But GenAI is designed to generate pieces of output and create content based on prompts. It can be used as a digital assistant in legal work for:
- Drafting contracts, memos, and emails
- Summarizing case law or deposition transcripts
- Translating legalese into plain language
Built on that foundation, agentic AI can operate in dynamic environments. That means it can plan and execute multi-step legal workflows. It monitors the progress of a task, then adapts to changing needs. You might ask it to prepare a litigation strategy or:
- Research relevant precedents
- Draft motions
- Flag missing documents
- Identify cross-jurisdictional implications
- Sequence tasks for your team
Agentic AI doesn’t just respond; it acts, learns, and adjusts to your case. If this feels slightly ominous, take a closer look. Agentic AI developed by technical experts and based on dedicated legal content can have a profound impact on your practice.
Plan and execute
Agentic AI complements your expertise. When you set goals, agentic AI can map out workflows, break down tasks, and monitor progress. While it can’t lead client meetings, it can fulfill backend requests, prep materials, and keep everything moving smoothly.
A professional-grade agentic AI solution will:
- Boost efficiency. Agentic AI can speed up litigation and transactional processes in legal research, document analysis, and drafting. These agentic workflows, designed by legal experts and supported by trusted legal content, propose logical next steps and execute them at your command.
- Work faster and smarter. Agentic AI quietly progresses from task to task in the background, freeing you to focus on higher-value activities. You can spend time on the work only you can do, like developing client relationships, nuanced strategy, and courtroom preparation.
- Build confidence. By gaining insight into unfamiliar areas of law, agentic workflows can guide you through nuanced practice areas with contextual recommendations and structured execution.
Of course, human oversight remains essential. Reviewing AI-generated documents and guiding the solution ensures it works the way your firm does: ethically, accurately, and efficiently.
Agentic workflows are not bots
If you’ve ever been frustrated with the limitations of online chatbots, you should know agentic AI is different. Bots operate within narrow parameters and are built to handle simple, one-off tasks like retrieving information from a company database.
Agentic workflows, on the other hand, are intelligent tools that work toward defined goals. They rely on advanced logic to tackle complex problems, adapt as your workflows evolve, and interact with other tools to move work forward without needing step-by-step instructions.
How to identify a strong agentic AI solution
Not all agentic AI is created equal. To find a solution that’s effective and professional-grade, look for these core features:
- Trusted content: The solution pulls from verified, industry-specific sources you recognize and respect.
- Benchmarked functionality: It provides demonstrated performance that handles large volumes and identifies complex themes.
- Strong security: The technology has clear data encryption and complies with standards like HIPAA, GDPR, and SOC 2.
- Seamless integration: It connects easily with industry-leading platforms like Westlaw, Practical Law, and Microsoft 365 without extra effort.
- Unified experience: The solution supports your full workflow from start to finish, not just an isolated task.
What to avoid
Use caution when reviewing vendors whose solutions include:
- Unverified data sources or research functions that haven’t been tested
- Vague or missing security details
- Costly custom integrations with limited scalability
- Tools that only solve part of your workflow, leading to inefficiency
Where to begin
Adopters of agentic AI are already seeing stronger performance and a competitive edge. If you’re new to it, start with low-stakes tasks like scheduling or formatting documents. It’s helpful to identify your firm’s technology “power users” who can champion adoption and partner with providers that offer training and integration support.
Measuring the return
To measure ROI, start by gauging how long certain tasks usually take — like formatting documents, conducting research, or preparing drafts — without any support. Now, consider how much faster those tasks and the complete workflow could be with an agentic AI solution.
By looking at the time saved and what that extra time allows you to accomplish, you’ll start to see the real value: smoother workflows, less manual effort, and more space to focus on meaningful work. You’ll be able to redeploy your time more strategically, improve client satisfaction and retention, and win more work.
Now is the time to reflect on where your current workflows slow you down, and how they could be smarter, faster, and more adaptive. Thomson Reuters CoCounsel Legal is a professional-grade legal solution that combines agentic capabilities with trusted content and strong security — giving legal professionals the speed, confidence, and control to tackle complex tasks with ease.
CoCounsel Legal
Work smarter with CoCounsel, seamlessly integrated with Westlaw, Practical Law, Microsoft 365, and DMS partners
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