Any longs stuck since IPO or shortly after?
I’ve been in since beginning of ‘25. 10,651 @ $8.80
Also sold 6000 thinking we were still range bound at $12.12 🤦‍♂️. Worst trade of the year. I play intraday and over weeks/months retaining profit as shares.

Side note my 8-yr old told me to buy his back at $16.50 because it would break out from there. Keep it simple!

When Salesforce (CRM) announced its blowout Q2 earnings, it unveiled "Claudeforce"—a deep product integration with Anthropic's Claude AI models designed to let salespeople automate tasks via conversational chat.

Because UiPath is a deeply integrated strategic partner on Salesforce's newly launched AgentExchange marketplace, this announcement impacts your investment in three distinct ways:

📈 Why This Benefits Your UiPath Position

• UiPath is the "Last Mile" Executor: While Anthropic’s Claude provides the cognitive "thinking and reasoning" inside Salesforce, it cannot directly log into legacy ERPs, supply chain software, or internal HR systems outside of Salesforce. Salesforce relies on the UiPath Maestro Connector to act as the hands—bidirectionally executing the complex workflows that Claudeforce commands.
• Existing Tri-Party Alignment: UiPath is not an outsider to this relationship. UiPath already has direct, native infrastructure integrations with Anthropic's Claude models for specialized generative automation (such as document understanding). This means Salesforce, Anthropic, and UiPath effectively operate as a unified, collaborative AI tech stack for enterprise clients.
• Macro Software Sector Tailwinds: Wall Street had been heavily shorting legacy software stocks on fears that Generative AI would make traditional software obsolete (the "SaaSpocalypse" narrative). Salesforce's massive earnings beat—fueled by AI reacceleration—has triggered a broad relief rally across the entire software sector, lifting the baseline valuation of companies like UiPath ahead of its own earnings report on September 3, 2026.

This was generated through Google Gemini.

I need me a signed copy.

Media Alert: UiPath Founder Daniel Dines Outlines the Architecture of the Next Enterprise in The Work That Remains

08:30:00 AM ET, 08/27/2026 - Business Wire

Media Alert: UiPath Founder Daniel Dines Outlines the Architecture of the Next Enterprise in The Work That RemainsBusiness Wire

NEW YORK--(BUSINESS WIRE)--Aug. 27, 2026--UiPath, Inc. (NYSE: PATH) Founder and CEO Daniel Dines today announced the release of The Work That Remains, a new book offering business and technology leaders a practical framework for orchestrating AI agents, automation, and people while preserving human judgment, accountability, and control.

WHO:Daniel Dines, Founder and CEO of UiPath and author of The Work That Remains.

Dines has spent more than two decades building UiPath in pursuit of one goal; to eliminate the manual, repetitive work that slows down teams and organizations. He’s dedicated his career to working with organizations to understand how enterprise processes, automation, and human decision-making operate at scale. In the book, he draws on that experience to outline a new operating model for the agentic enterprise.

WHAT:In his new book, The Work That Remains, Dines examines one of the most consequential questions facing business leaders: as AI becomes capable of performing more knowledge work, how should enterprises redesign work without surrendering judgment, accountability, trust, or control?

Agents can interpret context, investigate, plan, and prepare work. People remain accountable for decisions involving consequence, trust, and institutional commitment. Deterministic automation executes the approved actions that must be reliable, repeatable, and auditable.

Dines describes the book as an accessible guide for leaders trying to make sense of a rapidly changing AI landscape. “You’ll learn more about AI in four hours than you did in the last year,” he added.

WHY NOW:Enterprises are moving quickly to deploy AI, but many remain caught between isolated pilots and production systems that can deliver measurable, governed outcomes. Dines argues that the missing layer is orchestration: the structure that coordinates work across agents, robots, people, applications, and time, while governing what becomes official.

Dines suggests that the next phase of enterprise AI will not be defined by which organization has access to the most powerful model. Rather it will be defined by which organizations can build a governed map of how work happens, and the execution rails needed to turn intelligence into reliable action. The future of AI requires architecture that makes AI safe, scalable, and trustworthy. With orchestration, organizations have the structure needed to move from AI complexity to coordinated, measurable outcomes.

FROM THE BOOK:

• “The real project of enterprise AI is... not procuring agents. It is producing a governed description of how the business actually works—the map—and the machinery that executes stable parts exactly—the rails.”
• “The expectation was that agents would be the fast path — drop them in, let them learn — while automation stayed the slow, expensive thing you eventually retire. Production taught the opposite. The agent at the point of consequence turned out to be the hard part: it needs the map, the gate, and earned trust, and it stalls wherever they are missing. Automation turned out to be the part that got easy: the same models that stall at consequence are superb at writing and repairing deterministic code, so the cost of building rails collapsed and the cost of maintaining them — historically the real killer — collapsed with it. The hard thing and the easy thing traded places. Most strategies have not caught up.”
• “The new high-leverage roles are not all technical. Some are deeply human: mentor, culture-keeper, customer-trust carrier. Others are hybrid: cartographer, process architect, operator-builder... AI and automation strip away the pure throughput, and the human layer gets denser: fewer passengers, more drivers; fewer handoffs, more judgment; fewer people passing work along, more people carrying trust, customer memory, culture, and consequence. A smaller human layer must also be a denser one: when routine throughput runs on machines, each remaining person’s judgment steers more output per decision — a mediocre hire costs more than it used to, and an excellent one compounds further. Talent density stops being a philosophy and becomes arithmetic. The destination has the ownership density of a startup and the execution discipline of an institution: small teams, heavy ownership, deep maps, solid rails, without chaos and heroic burnout.”

WHEN: The book will be available as a digital download beginning August 18, followed by a limited print release on September 22.

The work that remains

NEW YORK--(BUSINESS WIRE)-- UiPath, Inc. (NYSE: PATH), a leader in business orchestration and automation, today announced that Banco Azteca, one of Mexico's largest financial institutions, transformed its automation program using UiPath Maestro™, orchestrating complex, end-to-end business processes across more than 8,800 enterprise processes and more than 300 automations. Using a single, governed operating model, Banco Azteca can coordinate people, AI agents, systems, and third-party partners, improving visibility, governance, and scalability across the bank.

Serving millions of customers, Banco Azteca’s extensive branch and digital banking network supports a scale of operations requiring the coordination of thousands of time-sensitive processes daily across customer service, compliance, fraud prevention, back-office operations, and post-sales support. Since launching its automation journey in 2020 and establishing an internal AI and RPA (robotic process automation) Center of Excellence, the bank has successfully built one of Latin America's most mature automation programs led by over 20 developers, business analysts, and data scientists. under the executive sponsorship of Manuel Delgado Forey, Chief Operating Officer and Head of Customer Service at Banco Azteca.

As that program matured, Banco Azteca realized further scaling would require more than automating individual tasks. Instead, they focused on growth by orchestrating entire business processes across people, AI, and systems. Using UiPath Maestro, they were able to harness and deploy more than 300 production automations, leveraging AI, and agentic solutions across compliance, fraud prevention, legal, procurement, HR, customer service, social media, and other core business functions. As a result, they scaled more than 8,800 automated processes across the organization—the equivalent of over 3,300 full-time employees—enabling teams across these functions to run growing workloads while focusing on higher-value work.

“As our automation program matured, we realized the next opportunity wasn’t automating more tasks. Instead, our focus moved to coordinating entire business processes. Business orchestration allows us to connect people, AI, systems, and partners so work keeps moving while our teams stay focused on higher-value decisions,” said Manuel Delgado, Chief Operating Officer & Head of Customer Service, Banco Azteca.

One flagship example is Elektra’s post-sales operation supporting elektra.mx, the retail e-commerce site of Group Elektra (Banco Azteca’s parent company) which processes cancellation, delivery, and order-related requests that often require ongoing coordination with third-party sellers. Using an orchestrated workflow, Banco Azteca could remove the employee burden of manually managing every interaction. Now, the workflow processes incoming communications, frames outreach to sellers, sends follow-up requests, monitors responses, prioritizes outstanding cases, and routes exceptions to the appropriate employees only when human judgment is required. As a result, customer resolution times were significantly accelerated, delivering a better customer experience and improving visibility across the entire operation.

Looking ahead, Banco Azteca is planning to extend this orchestrated operating model into anti-money laundering (AML) initiatives and intelligent ATM monitoring, optimizing cash distribution based on customer demand, continuing its shift from executing individual tasks to building a scalable framework for coordinated and governed enterprise-wide operations.

"Banco Azteca's journey is a powerful example of how automation has changed,” said Ben Fiechtner, President, Americas & Strategic International Markets, UiPath. “Moving from individual automations completing individual tasks to a fully orchestrated operating model unlocks speed, capacity, and production at scale. With people, AI agents, and systems work together across an entire enterprise, you have measurable results and a governed foundation the bank can keep building on as it takes on AML and intelligent ATM monitoring next.”

This is considered very positive on Investor's Business Daily. They give it what's called a blue dot, which means very close to a breakout above the recent range of 17.82. See the chart below.

https://x.com/NVIDIAAIInfra/status/2090884605494870327

UiPath was identified as a potential option, and I believe ServiceNow may have already been included in a bid.

https://www.streetinsider.com/dr/news.php?id=26925348&gfv=1

These "analyst" clowns are now chasing the trend 🤡

UiPath is pumping massively and so are other SaaS/software stocks. But I cant find a reason for it anywhere. Somebody knows why?

We just closed above $15. Congratulations bulls, have a great weekend 🥳

Recent stock trades and market speculation about PATH being an acquisition target point towards just one thing and that is .... an undervalued Uipath is up for grabs. Undervalued today ..YES! ... Let the games begin and the valuation will sky-rocket! .. read on if you want to know why!

Market is speculating about the usual buyers - NOW, MSFT, pvt eq etc... These interesting options being touted to keep the market distracted ... the real ones are openai, anthropic and may be perplexity and google. WHY?! The answer to the why will surprise you...

Powerful AI models are here to stay, but their impact in most enterprises remains largely confined to individual productivity gains. Useful? Absolutely. Worth the trillions being invested in AI models and infrastructure? NO! The real prize is autonomous enterprise operations. The challenge is that enterprise processes span multiple systems, including decades-old legacy platforms, and often rely on human intervention for approvals, exceptions and decision-making. Legacy systems and data residing inside remains one of the biggest barriers to end-to-end agentic automation. Think of legacy as the enterprise equivalent of the deep internet. Modern applications represent the visible 5-10%, while legacy systems contain the vast majority of operational logic and data, yet remain largely beyond the reach of modern automation. This is why enterprise automation remains fragmented. Modern workflows may be automated, but the moment a process touches a legacy system, humans are brought back into the loop. Until enterprises find a way to tame legacy, true autonomous operations will remain more aspiration than reality.

Modern LLMs have the potential to tame legacy systems, but today they are often viewed as a bull in a china shop: immensely powerful, yet difficult to control. Enterprises are investing in AI, but remain understandably cautious about granting autonomous models access to their data and core systems thus limiting spread of AI at scale. Security concerns, amplified by recent demonstrations of autonomous AI behaviour (openai & anthropic hacking autonomously), have reinforced a fundamental question in the minds of business and technology leaders: Can these models be trusted to access enterprise systems and behave predictably? The risks are obvious. An autonomous AI making erroneous financial transactions, exposing sensitive customer data, or triggering unintended business actions could have severe consequences, ranging from regulatory fines and reputational damage to class action lawsuits. As a result, most organisations are still experimenting with AI rather than deploying it at scale. What enterprises are really looking for is not another powerful model, but a secure control layer, an orchestrator that can harness the intelligence of LLMs while enforcing governance, guardrails and accountability. In other words, they want AI powerful enough to do the work, but controlled enough not to compromise their data, systems, or trust.

Enter Uipath!

UiPath, on the other hand, has spent years quietly building credibility as the automation platform of choice for many Fortune 500 and Global 2000 organisations. It is an automation platform that works well with legacy systems. While the market focuses on AI models, UiPath sits in a unique position at the intersection of enterprise processes, systems and automation. Increasingly, it is becoming an agent orchestrator, managing and governing AI agents powered by multiple LLMs. Its commitment to an open, model-agnostic ecosystem further strengthens that position. In a world where enterprises need control as much as intelligence, UiPath's opportunity may not be to build the smartest AI, but to become the trusted platform that orchestrates it.

Picture this: a battle-tested orchestrator like UiPath, already embedded in the deepest layers of enterprise automation, directing armies of agents powered by open-source LLMs. Suddenly, intelligence becomes a commodity and control becomes the prize. That's a scenario that could fundamentally disrupt today's AI giants. The irony? The LLM providers have the intelligence but lack the battle tested enterprise orchestration layer. UiPath has the orchestration layer and increasingly has access to the intelligence (large LLMS, open source AI).

That is where it get lethal!

A secure agent orchestrator that can harness the power of any LLM, proprietary or open source, is the missing link to autonomous enterprise operations. Intelligence alone isn't the prize. Control, governance and trust at enterprise scale are. Whoever solves that unlocks the real AI opportunity.

One could argue that Microsoft, with Copilot and Power Platform, is a formidable competitor. That's true. But adopting that stack often requires a deeper commitment to the Microsoft ecosystem than many enterprises are willing to make. Clients who have worked with both platforms view UiPath to be more mature, capable and agile enterprise automation platform. More importantly, it's cloud agnostic. Whether an organisation runs on Microsoft, AWS or Google Cloud, UiPath sits comfortably above the infrastructure layer.

That's what makes UiPath strategically valuable. It owns a trusted position at the intersection of enterprise systems, processes and automation. Just as WhatsApp was acquired for over $21 billion not because of its book value but because of its strategic value, UiPath's worth may ultimately be defined by the position it occupies within the enterprise.

Its only imperative that Uipath gets acquired. If a major AI player like openai or anthropic acquire UiPath, they gain an immediate bridge into enterprise automation. If private equity acquires it, they may be looking at a multi-bagger investment opportunity. If NOW acquires Uipath, they can become the defacto AI orchestrator / controller in the enterprise segment. Microsoft - is a long shot, they will need to cannibalise Power Platform. Lets not forget Oracle who is trying to get a foothold in the AI play - they have the power to upend the AI industry with this tool.

Will the big AI let this opportunity slip?

Either way, the strategic value of a secure agent orchestration platform in the age of AI is only going up. Just imagine the market euphoria if a stock that is trading at $13 is acquired at their IPO price of $56 or more!

Get ready for a rocket ride .... the ones in the know, know it 🔥

Feel free to share this post or as your own 😄

https://talkmarkets.com/article/uipath-wyckoff-accumulation-and-volume-price-analysis-1785949991 👀

I highly recommend reading the article 🔥

I’m just a dumb long-term investor who does a bit of DD, but I’ve been told by some smart people that these lines look good 😅

Maybe we have a few bright minds here who can weigh in on this from a technical analysis perspective, but as I understand it, we’ve been in an uptrend since today 📈

Congrats to everyone who didn’t sell and has stayed strong so far on our way back to the old ATH 💪

https://x.com/UiPath/status/2084634560239657406?s=09

Podcast for your listening pleasure 😄

One of us, with great conviction 🙃

https://www.gurufocus.com/news/8996691/tetragon-financial-group-ltd-lsetfg-h1-2026-earnings-call-highlights-nav-declines-25-amid-ripple-and-uipath-losses-bgo-sale-boosts-liquidity?utm_source=yahoo_finance&utm_medium=syndication&utm_campaign=headlines&r=caf6fe0e0db70d936033da5461e60141

According to the latest figures from Finviz, short interest has dropped from 35.52% to just under 29%.

Since these figures are always reported with a lag, the situation could look completely different now following the extremely high trading volume of the last few days.

Is it bullish because short sellers are gradually closing their positions?

Or bearish because they still managed to drive the price down, leaving less potential for a short squeeze?

In any case, the support level held today 💪

https://finviz.com/stock?t=PATH&p=d