Automation

Generative AI is bleeding into enterprise automation. Expect fewer rigid bots and more adaptive workflows — with big winners, hard trade-offs, and a short window for action.

Startups and big tech are packaging autonomous AI agents that execute multi-step tasks. Expect productivity gains, new risks, and a scramble over who controls the agent stack.

How robotic process automation paired with generative models is turning back-office work into a scalable, risky, and investable frontier

Autonomous AI agents are folding into robotic process automation to shave hours off knowledge work, reroute IT budgets, and force managers to pick winners fast.

Companies are deploying autonomous AI agents to handle outreach, bookkeeping and research. Expect cost cuts, faster cycles—and new oversight headaches.

Citizen developers, UiPath, Microsoft and ServiceNow are stitching RPA to large language models — faster automations, thorny governance, and a fresh CIO checklist.

Generative AI has turned basic robotic process automation into a strategic productivity lever. Here's the short list of winners, risks, and what to trade.

AI, RPA and low-code are fusing into 'hyperautomation.' It promises big savings, messy rollouts, and an unequal market for winners and losers.

Generative AI is turning rule-based bots into context-aware assistants, forcing companies to rethink automation strategy, compliance and workforce planning.

Large language models are no longer a backend curiosity — they're the new engine for enterprise automation. Here’s what leaders need to know now.

From brittle scripts to context-aware bots: how generative AI is turning stale automation into decision-capable workflows and what enterprise leaders should prioritize.

Companies are marrying RPA with generative AI to automate judgment-heavy work. The result: faster scaling, new risks, and a very different vendor landscape.

RPA is no longer just scripts and macros. Generative AI is turning rigidity into conversational automation — but the winners won't look like last decade's favorites.

Generative AI is ripping the rulebook on robotic process automation. Here’s how LLM-driven automation changes economics, risk and the vendor landscape.

Generative models are turning rule-based bots into workflow co-pilots. CIOs face big gains and new hazards — and a narrow window to get governance right.

From pilots to production: why companies are betting on autonomous AI agents now, what they actually deliver, and where they can still fail

Generative models are elevating robotic process automation from scripted helpers to autonomous agents. Finance leaders face faster closes, higher risk — and a narrow window to govern and reskill.

Large language models have injected reasoning and context into robotic process automation, turning simple bots into decision aides and forcing a rethink of jobs, governance and investment.

Zapier AI, Make, Power Automate and new LLM plugins are turning entry-level tasks into automated workflows. Winners, losers and what investors should watch.

How generative AI is finally teaching rule-based bots to think — and what CFOs and investors should watch next

AI-powered hyperautomation is shaving hours from back-office workflows. Firms gain speed and control, but the human cost and opportunity are uneven.

Banks and fintechs are wiring large language models into robotic process automation to speed payments, cut compliance costs and reshape jobs — fast and messy.

Generative AI is turning brittle, rule-based bots into conversational operators — forcing companies to rethink workflow design, risk, and who actually 'builds' automation.

With labor tight and e-commerce surging, retailers and logistics firms deploy AI-driven mobile robots and vision systems to cut costs, speed fulfillment and force a rethink of warehouse work.

The new wave of automation stitches large language models into robotic process automation, speeding finance workflows — and forcing businesses to rethink governance and jobs.

Specialized copilots from Big Tech and startups are moving from novelty to backbone, changing work, costs and control — and creating new investment bets.

Generative AI is turning scripted bots into intent-driven systems — investors, CIOs, and workers should rethink strategy now.

From drag‑and‑drop RPA to autonomous AI agents — why companies are ditching old playbooks and what that means for workers and investors.

Generative AI is not replacing RPA — it's splicing it into smarter, context-aware workflows. What CIOs and CFOs need to know now.

Rule-based bots built the automation boom. Now large language models are doing the messy, creative work — and finance teams must choose between speed, risk, and new kinds of jobs.

From Copilot in Power Automate to UiPath's AI tooling, automation is moving from scripts to judgment — what firms and workers should actually prepare for

Robotic process automation is getting a generational upgrade as large language models move from pilots to production. Here’s what CIOs, investors, and operators need to know.

Large language models have moved from assistants to workflow builders. Enterprise automation is becoming creative work—and a battleground for skills, costs and control.

Large language models are turning rule-based bots into cognitive workers. How Power Automate, UiPath and peers will redraw productivity, risk and jobs.

From UiPath to Microsoft, automation suites are folding in generative models so software can interpret ambiguity — and change which roles get automated.

From AutoGPT experiments to production-grade copilots: autonomous agents are moving into real workflows. Here’s where value — and risk — will show up first.

Generative AI is turning RPA into autonomous agents that plan, execute and learn. Companies that move fast get productivity — and governance headaches.

LLMs are turning rule-based RPA into adaptive, data-aware workflows — reshaping cost structures, job roles and vendor strategies across American corporations.

Microsoft's Copilot is collapsing the barrier between business users and automation. What that means for finance teams, RPA vendors and investors.

Large language models are fusing with robotic process automation to stitch emails, APIs and spreadsheets into end-to-end workflows. Companies must adapt fast.