AI in Operations
AI applied to internal workflows, back-office automation, finance, legal, HR, procurement, logistics, and cross-functional business processes.
AI Could Raise Energy Demand While Helping Transform the Energy Industry
OpenAI Chief Executive Sam Altman said AI could reshape the economics of energy in two directions: by increasing demand for power and by giving the energy industry new ways to work. Speaking at the ADIPEC conference in Abu Dhabi, he said the AI industry could “repay the favor” after years of discussing what it needs from energy. His remarks came as OpenAI signed deals to deploy its technology with energy companies and other organizations in the United Arab Emirates.
Three WIN Projects Target Workplace Conditions Behind Gender Inequality
At the WIN Summit, three of the WIN Challenge’s 18 awardees argued that helping women thrive at work requires changing workplace systems, not just preparing individual workers to manage barriers. The Shift Project is targeting scheduling software that makes shifts unpredictable; WorkLife Law plans to connect pregnant workers with legal protections through healthcare providers; and Affordable Homes of South Texas is making safe job sites a condition of placing women in construction roles.
AI Could Expand Legal Capacity Beyond Current Limits
Legora CEO and co-founder Max Junestrand argues that legal work is constrained less by demand than by the capacity to meet it, leaving contracts unreviewed, diligence undone and some disputes unpursued. He sees AI as a way to make legal expertise available where time and staffing have put it out of reach, but says wider adoption depends on lawyers trusting the work. For Legora, that means continually rebuilding as AI capabilities advance rather than treating its product as finished.
Digital Twin Simulation Aims to Cut Months From Audi Logistics Testing
Audi plans to use a digital twin built in Dassault Systèmes’ DELMIA to test logistics tasks for robots before deploying them in production. The proposed system combines factory knowledge from the 3DEXPERIENCE platform with NVIDIA Omniverse libraries for simulated perception and motion, creating a virtual training environment for robots from Agile Robots and idealworks. NVIDIA says scaling tests to multi-robot fleets could help assess safe operation and save months in future logistics testing.
At Arca, Agents Own Client Goals Across Days of Work
Aman Singh, who leads AI at Arca, argues that an AI-native financial-services firm should assign agents responsibility for client outcomes, not use them merely to assist employees. Arca’s agents track signals such as emails, calls and account events, carry work across delays and changing circumstances, and bring people in when a decision or action requires them. Singh’s longer-term aim is for the firm to steer its business by setting goals for agents, which then prepare and advance the work—including prompting employees to act.
Housing Stability Depends on Affordability, Financing, and Resilience
Housing stability, the participants at Aspen Ideas: Economy argued, depends on more than whether a family rents or owns: it requires homes people can afford to stay in and the financial support to withstand shocks. Samir Goel of Esusu, Jeff Hall of the Anne and Henry Zarrow Foundation, and Kristen Scheyder of Citi Foundation made the case for pairing housing production and preservation with tools such as rent reporting, emergency savings and flexible financing. They cautioned that credit-building alone cannot prevent displacement or make housing affordable.
Factory-Tested AI Pods Could Cut On-Site Deployment From Months to Days
NVIDIA presents DSX as a full-stack reference architecture for designing AI factories as coordinated systems, with compute, networking, power and cooling validated in a digital twin before construction. The company says its DSX Max LPS can deliver the same output with 30% less power, while closed-loop cooling and outdoor dry coolers can save up to 54 million liters of water a day at a 2-gigawatt scale in suitable climates. Its DSX POD packages pre-integrated, factory-tested equipment to cut on-site deployment from months to days once utilities are ready.
Private Equity Is Bringing New Capital and Exit Options to Sports Teams
K. Don Cornwell argues that private equity can help sports teams grow without taking control from their owners. The co-founder of Dynasty Equity, which has invested in the Seattle Seahawks and TMRW Sports, says capital and technology can improve teams’ business performance and give owners a clearer path to selling—while revenue growth beyond ticket prices can help preserve fans’ access.
AI Could Extend Nubank’s Low-Cost Banking Model Into New Markets
David Vélez, Nubank’s founder and chief executive, argues that the digital bank’s low-cost model can challenge incumbents in an industry he says remains largely branch-based. Nubank’s 140 million customers are evidence for that model, but its expansion into the United States and other markets will test whether the advantage travels. Vélez sees AI as a way to lower costs further and improve financial services, while saying that scale alone is not enough: companies need the systems and culture to use their data effectively.
JPMorgan’s Early AI Investment Is Widening Its Lead Over Banks
JPMorgan Chase remains at the top of Evident’s global ranking of banks’ AI capabilities as deployment across the industry accelerates, and CEO Alexandra Mousavizadeh says early movers are widening their lead. Their advantage, she argues, comes not just from adopting AI sooner but from having more time to reorganize operations around it. Mousavizadeh also says banks investing most heavily in AI are still growing headcount, even as the technology automates some tasks and changes jobs.
Divergent Says Digital Manufacturing Can Put Defense Hardware in Flight in Under Three Months
Divergent CEO Lukas Czinger argues that the Pentagon needs manufacturing systems that can adapt designs quickly and produce them at scale, not just more factories. The company works beneath defense contractors such as Lockheed Martin, using digitally driven processes including metal 3D printing; Czinger says it can move from engineering inputs to flight-ready hardware in under three months. He presents Divergent’s role as supplying production capacity, while contractors retain their programs and intellectual property.
Perplexity Automations Carry Recurring Work Forward With Run History
Perplexity Academy’s guide to Computer Automations argues that recurring work can be handled as a persistent job rather than restarted from scratch each time. Users define the outcome, connected tools and review points, then set the job to run on a schedule or when an event occurs in a supported app; Computer uses the assignment and its history to carry the work forward. The guide also stresses that permissions govern what Computer can do, while credits are used when it performs the work—not while it waits for a trigger.
WeWork’s Growth Outran Its Founder—and Its Operating Systems
Adam Neumann says WeWork’s growth outran his ability to lead it: as a proposed $4.2 billion investment shifted his attention from the company’s mission to his potential wealth, he lost sight of what the business was for. In an interview with Steven Bartlett, the WeWork co-founder argues that rapid expansion is not itself the problem; founders must develop their judgment, teams and operating systems at the same pace, or the company’s growth can expose weaknesses that eventually crack it.
AI Makes Coding a Core Skill Beyond Engineering
Andrew Ng, the Stanford adjunct professor and founder of DeepLearning.AI, argues that generative AI makes coding more worth learning, not less. He says professionals who can specify what they want a computer to do—and use AI to turn that instruction into custom software—are already gaining a productivity advantage across functions such as marketing and recruiting. In Ng’s view, the scarce skill is not writing code by hand but defining the task, outcome and criteria precisely enough for a computer to execute.
Agents API Hosts Codex Orchestration for Production Incident Investigations
OpenAI’s Charlie Guo presents the Agents API as a hosted Codex harness for production agents, with OpenAI handling orchestration, sessions and context management while builders control instructions, tools, data access and execution environments. In a fictional checkout incident, the API is used to connect observability and code tools through MCP, filter large log datasets, run parallel investigation tasks and produce an evidence-backed handoff. The example is designed to recommend a mitigation with stated uncertainty, not to make a production change autonomously.
Staffed Homes Give Women Leaving Prison a Path to Reentry
Susan Burton argues that women leaving prison need a staffed, accountable community—not merely a bed—to avoid being pulled back into the conditions that led to incarceration. Drawing on her own experience of repeated imprisonment, she built a Los Angeles network of 12 homes that combine housing with work, legal and financial support, shared responsibilities and peer relationships. Through the Sisterhood Alliance for Freedom and Equality, Burton is training women to replicate that model, framing stable reentry as family preservation, community repair and public safety.
Legora Reached $100 Million ARR by Freezing Sales to Rebuild
Legora co-founder and CEO Max Junestrand argues that the company’s rapid expansion in legal AI came from learning legal workflows faster than established players, not from arriving with legal credentials or a finished technical advantage. He says the team embedded itself with lawyers, froze sales for six months to rebuild a product that could withstand the trust demands of law firms, and treated model evaluation as a continuing operating capability. As Legora scaled from $1 million to $100 million in ARR in roughly 18 months, Junestrand says hiring for learning velocity and preserving customer-response speed became as important as the product itself.
Computer Analytics Links Daily Usage Oversight to Enterprise Reporting
Perplexity’s Computer Analytics separates day-to-day oversight from reporting and planning: administrators can use a daily refreshed dashboard to track organization-wide credit use, top users, connectors, skills, projects, artifacts, and task duration. The company says enterprise customers can use its organization-scoped Analytics API to pull the same usage data into business-intelligence or finance systems, while individual users retain access only to their own activity.
Search Handles Answers; Computer Executes Connected Work
Perplexity Academy draws a practical line between its Search and Computer tools: Search is for questions where a cited answer is the finished product, while Computer is for work that must move across systems, produce an artifact, or run repeatedly. The company says Search can handle complex analysis—from document summaries to valuations—so long as the result is bounded and verifiable; Computer is intended to connect data and tools, build deliverables such as dashboards or reports, and send scheduled updates.
4P Foods Replaces Fragile Supply Chains With Regional Food Hubs
Tom McDougall, founder of 4P Foods, argues that regional food hubs can give farmers a larger share of customer spending while making local sourcing workable for schools, retailers and other large buyers. He presents the model as an alternative to a concentrated food system that he says has made supply chains brittle and consolidated wealth and power. McDougall’s broader case is that leaders must both improve the institutions people still depend on and build replacement systems organized around fairness, respect and resilience.
Education Reform Depends on Using Outcome Data to Make Hard Choices
Caroline Hoxby argues that education policy should use outcome data to make harder distinctions: paying teachers for measured effectiveness, underwriting student loans based on evidence of college progress, and judging institutions by the results they deliver. The main obstacle, she says, is usually not a lack of data or technical capacity but political resistance to unequal treatment and accountability. Hoxby also makes the case for state and local autonomy to test such policies, provided results can be measured and compared.
College Opportunity Requires Better Underwriting, Testing, and Information
Economist Caroline Hoxby argues that college opportunity is fairer when public policy distinguishes between early uncertainty and later evidence. She makes the case for front-loaded grants, better underwriting and institutional accountability in student lending, alongside admissions tests and targeted information that allow qualified students from less advantaged backgrounds to demonstrate ability and find colleges that match their potential.
Finance Reviews Can Separate Approved Forecasts From Scenario Testing
ChatGPT Work presents a finance-review application built around a controlled baseline: close results, the official plan and latest outlook remain separate from proposed Finance adjustments and hypothetical scenarios. The source argues that putting those figures in one interface—with account-level testing, driver analysis, follow-up ownership and a board-ready presentation—lets finance teams examine decisions without recasting modeled outcomes as the approved forecast.
All July Accounts Reconcile, but Four Close Gates Remain
OpenAI’s ChatGPT Work is presented as a quarter-end close tool that connects NetSuite actuals with board materials in Google Drive, traces variances and assigns remediation in Slack. In the July example, it finds that all 10 posted account lines reconcile and that a supported FY26 recovery bridge leaves $920,000 of residual risk, below the $2.5 million materiality threshold. But the system recommends a CONDITIONAL GO because unposted corrections, vendor evidence and other control gates still require Finance review before the close can be released.