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Everything you need to know about OpenAI’s browser-based agent, Operator - Related to optimise, becoming, need, operator, about

Everything you need to know about OpenAI’s browser-based agent, Operator

Everything you need to know about OpenAI’s browser-based agent, Operator

Table of Contents Table of Contents What is Operator? When was Operator released? How does Operator work? What can Operator do and how well can it do it? How can I try Operator for myself?

OpenAI has finally entered the agentic AI race with the release of its Operator AI in January. The agentic system is designed to work autonomously on its user’s behalf and is primed to compete against already established industry rivals like Claude’s Computer Use API and Microsoft’s Copilot agents — at least, once it sheds its “research preview” status. Here’s everything you need to know about OpenAI’s new agent and when you might be able to try it for yourself.

OpenAI’s Operator is an agent AI, meaning that it is designed to take autonomous action based on the information available to it. But unlike conventional programs, AI agents are able to review changing conditions in real-time and react accordingly, rather than simply execute predetermined commands. As such, AI agents are able to perform a variety of complex, multi-step tasks ranging from transcribing, summarizing and generating action items from a business meeting to booking the flight, hotel accommodations, and rental car for an upcoming vacation based on your family’s various schedules to autonomously researching topics and assembling multi-page studies on those subjects.

Operator works slightly differently than other agents currently available. While Claude’s Computer Use is an API and Microsoft’s AI agents work within the Copilot chat UI itself, Operator is designed to, well, operate, within a dedicated web browser window that runs on OpenAI’s servers and executes its tasks remotely. Your local web browser has nothing to do with the process and can be used normally even when Operator is running.

The Operator app is powered by a new “Computer-Using Agent” model (CUA) that is, in turn, built atop GPT-4o, which provides the app’s multimodal abilities. OpenAI says CUA was trained in a similar fashion to its o1 and o3 reasoning models. As such the CUA model will break down complex tasks into their component problems before trying to solve them sequentially, backtracking if it runs into any logical roadblocks.

OpenAI released Operator on January 23, 2025. It’s currently only available to $200/month Pro clients in the [website] through the [website] website. “Our plan is to expand to Plus, Team, and Enterprise clients and integrate these capabilities into ChatGPT in the future,” the firm wrote in its announcement post.

What can Operator do and how well can it do it?

Since it is limited to the browser, Operator can only perform simple internet-based tasks currently, such as reserving concert tickets, ordering DoorDash, or filling out Instacart orders. The firm also states that the agent will be able to automate tasks like booking hotels and airlines, reserving tables at restaurants, and even doing your online shopping.

OpenAI has pitted Operator against Anthropic’s Computer Use, as well as Google DeepMind’s Mariner agent, in a number of industry benchmarks and states that Operator has beaten them across the board. On the OSWorld benchmark, which measures how well an agent can complete tasks like merging PDF files, CUA beat out Computer Use [website] to [website] — for reference, humans average around 72% success on those tasks. On the WebVoyager benchmark CUA outscored Mariner 87% to [website] Computer Use scored a paltry 56%.

However, initial user reactions to the AI agent have been mixed. For example, New York Times columnist Kevin Roost wrote, “In all, I found that using Operator was usually more trouble than it was worth. Most of what it did for me I could have done faster myself, with fewer headaches.”.

“Even when it worked,” he continued, “it asked for so many confirmations and reassurances before acting that I felt less like I had a virtual assistant and more like I was supervising the world’s most insecure intern.”.

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Warmly raises $6M Series A extension to optimise SMB engagement

Warmly raises $6M Series A extension to optimise SMB engagement

Engagement analytics startup Warmly has raised $6M in a Series A extension round led by RTP Global.

Warmly's platform enables SMB-sized B2B companies to observe and track their engagement, allowing them to identify and engage their warmest leads based on intent signals, to have stronger sales pipelines and convert this to revenue. Based on the orchestration of 1st and 3rd party signals, sales teams using the platform can initiate conversations with prospects when they are considering making a purchase and can scale this outreach with automated, personalized contact via email and LinkedIn.

The startup will use the newly raised funds to double the size of its sales and marketing team - doubling its European headcount to 20 people, with a global headcount of 50. It will also support the platform’s evolution roadmap. In the coming months, new data quality functionalities will be added to the Warmly platform in order to improve quality of leads they want to be served. Further integration of AI into the platform will continue will the aim of building towards lead-generating AI agents.

Maximus Greenwald, Co-founder & CEO commented: “More SMBs are waking up to the fact that cold B2B sales outreach isn’t working, and world-class data makes warmer outreach possible. Infusing this data into sales tech stacks holds massive possibilities.

"We’ve seen first-hand how it can bring in millions of dollars of new revenue. The RTP team understand this, and we’re delighted to have them on board as new investors. In 2025, we want to triple our ARR again while maintaining the high levels of customer satisfaction and renewals we’re experiencing today. A larger sales and marketing team will help us get there.”.

Orson Stadler, Principal at RTP Global, added: “enterprise and intent data has become a commodity for the modern sales team. That’s especially true in today’s climate of layoffs and budget cuts, where companies of all sizes are receiving fewer inbound leads.

"Warmly’s platform helps sales and marketing teams buck this trend to establish strong pipelines despite the headwinds. That’s why it’s no surprise to see Warmly’s accelerating customer adoption and we’re looking forward to supporting its on its continued path to growth.”.

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TikTok is fast becoming a pawn in US-China relations

TikTok is fast becoming a pawn in US-China relations

President Donald J. Trump says TikTok must be sold to an American buyer, or it will be banned from operating in the United States. , ByteDance, TikTok’s parent organization, does not appear to be in a hurry to sell the popular social media platform as the clock ticks down, almost certainly due to influence from the Chinese government.

Following the [website] imposition of significant tariffs on Chinese imports, which prompted a reciprocal response from China, experts now suggest that the Chinese government is “increasingly likely to take a hard-line approach” regarding selling TikTok’s [website] operations to an American buyer. As such, despite a growing list of interested suitors, China reportedly hopes to negotiate a “grand deal” with the Trump administration. Any deal would require the [website] to make trade and technology policy concessions.

On January 19, TikTok was removed from the [website] App Store and Google Play due to a new law that labeled the app illegal over national security concerns. This decision followed ByteDance’s decision to disable the service in the [website] in response to the law.

Please enable Javascript to view this content.

After Trump indicated that he would sign an executive order on his first day in office to allow the social network to remain online, TikTok’s service was restored. However, the executive order requires ByteDance to transfer ownership of the app to a new owner in the coming weeks. Without an ownership change, the site would go offline, perhaps permanently.

The TikTok app is still unavailable on the App Store and Google Play.

Since then, discussions about purchasing TikTok have involved various figures, including Elon Musk and “Shark Tank” star Kevin O’Leary. Trump has also suggested that the [website] government might purchase TikTok through a sovereign wealth fund.

In the meantime, relations between China and the [website] have become increasingly strained. In addition to the new tariffs — which could be the first of many between the countries — China is considering launching antitrust investigations into [website] companies like Google and Apple. Furthermore, China has officially lodged complaints about the tariffs with the World Trade Organization (WTO), the intergovernmental organization that governs international trade.

There are 170 million TikTok customers in the [website], which is one reason why Trump is trying to “save TikTok.”.

If China refuses to allow TikTok to be sold without economic concessions, will Trump back down? It’s possible, but we can expect many more fireworks before a resolution is reached.

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Market Impact Analysis

Market Growth Trend

2018201920202021202220232024
12.0%14.4%15.2%16.8%17.8%18.3%18.5%
12.0%14.4%15.2%16.8%17.8%18.3%18.5% 2018201920202021202220232024

Quarterly Growth Rate

Q1 2024 Q2 2024 Q3 2024 Q4 2024
16.8% 17.5% 18.2% 18.5%
16.8% Q1 17.5% Q2 18.2% Q3 18.5% Q4

Market Segments and Growth Drivers

Segment Market Share Growth Rate
Digital Transformation31%22.5%
IoT Solutions24%19.8%
Blockchain13%24.9%
AR/VR Applications18%29.5%
Other Innovations14%15.7%
Digital Transformation31.0%IoT Solutions24.0%Blockchain13.0%AR/VR Applications18.0%Other Innovations14.0%

Technology Maturity Curve

Different technologies within the ecosystem are at varying stages of maturity:

Innovation Trigger Peak of Inflated Expectations Trough of Disillusionment Slope of Enlightenment Plateau of Productivity AI/ML Blockchain VR/AR Cloud Mobile

Competitive Landscape Analysis

Company Market Share
Amazon Web Services16.3%
Microsoft Azure14.7%
Google Cloud9.8%
IBM Digital8.5%
Salesforce7.9%

Future Outlook and Predictions

The Everything Need Know landscape is evolving rapidly, driven by technological advancements, changing threat vectors, and shifting business requirements. Based on current trends and expert analyses, we can anticipate several significant developments across different time horizons:

Year-by-Year Technology Evolution

Based on current trajectory and expert analyses, we can project the following development timeline:

2024Early adopters begin implementing specialized solutions with measurable results
2025Industry standards emerging to facilitate broader adoption and integration
2026Mainstream adoption begins as technical barriers are addressed
2027Integration with adjacent technologies creates new capabilities
2028Business models transform as capabilities mature
2029Technology becomes embedded in core infrastructure and processes
2030New paradigms emerge as the technology reaches full maturity

Technology Maturity Curve

Different technologies within the ecosystem are at varying stages of maturity, influencing adoption timelines and investment priorities:

Time / Development Stage Adoption / Maturity Innovation Early Adoption Growth Maturity Decline/Legacy Emerging Tech Current Focus Established Tech Mature Solutions (Interactive diagram available in full report)

Innovation Trigger

  • Generative AI for specialized domains
  • Blockchain for supply chain verification

Peak of Inflated Expectations

  • Digital twins for business processes
  • Quantum-resistant cryptography

Trough of Disillusionment

  • Consumer AR/VR applications
  • General-purpose blockchain

Slope of Enlightenment

  • AI-driven analytics
  • Edge computing

Plateau of Productivity

  • Cloud infrastructure
  • Mobile applications

Technology Evolution Timeline

1-2 Years
  • Technology adoption accelerating across industries
  • digital transformation initiatives becoming mainstream
3-5 Years
  • Significant transformation of business processes through advanced technologies
  • new digital business models emerging
5+ Years
  • Fundamental shifts in how technology integrates with business and society
  • emergence of new technology paradigms

Expert Perspectives

Leading experts in the digital innovation sector provide diverse perspectives on how the landscape will evolve over the coming years:

"Technology transformation will continue to accelerate, creating both challenges and opportunities."

— Industry Expert

"Organizations must balance innovation with practical implementation to achieve meaningful results."

— Technology Analyst

"The most successful adopters will focus on business outcomes rather than technology for its own sake."

— Research Director

Areas of Expert Consensus

  • Acceleration of Innovation: The pace of technological evolution will continue to increase
  • Practical Integration: Focus will shift from proof-of-concept to operational deployment
  • Human-Technology Partnership: Most effective implementations will optimize human-machine collaboration
  • Regulatory Influence: Regulatory frameworks will increasingly shape technology development

Short-Term Outlook (1-2 Years)

In the immediate future, organizations will focus on implementing and optimizing currently available technologies to address pressing digital innovation challenges:

  • Technology adoption accelerating across industries
  • digital transformation initiatives becoming mainstream

These developments will be characterized by incremental improvements to existing frameworks rather than revolutionary changes, with emphasis on practical deployment and measurable outcomes.

Mid-Term Outlook (3-5 Years)

As technologies mature and organizations adapt, more substantial transformations will emerge in how security is approached and implemented:

  • Significant transformation of business processes through advanced technologies
  • new digital business models emerging

This period will see significant changes in security architecture and operational models, with increasing automation and integration between previously siloed security functions. Organizations will shift from reactive to proactive security postures.

Long-Term Outlook (5+ Years)

Looking further ahead, more fundamental shifts will reshape how cybersecurity is conceptualized and implemented across digital ecosystems:

  • Fundamental shifts in how technology integrates with business and society
  • emergence of new technology paradigms

These long-term developments will likely require significant technical breakthroughs, new regulatory frameworks, and evolution in how organizations approach security as a fundamental business function rather than a technical discipline.

Key Risk Factors and Uncertainties

Several critical factors could significantly impact the trajectory of digital innovation evolution:

Legacy system integration challenges
Change management barriers
ROI uncertainty

Organizations should monitor these factors closely and develop contingency strategies to mitigate potential negative impacts on technology implementation timelines.

Alternative Future Scenarios

The evolution of technology can follow different paths depending on various factors including regulatory developments, investment trends, technological breakthroughs, and market adoption. We analyze three potential scenarios:

Optimistic Scenario

Rapid adoption of advanced technologies with significant business impact

Key Drivers: Supportive regulatory environment, significant research breakthroughs, strong market incentives, and rapid user adoption.

Probability: 25-30%

Base Case Scenario

Measured implementation with incremental improvements

Key Drivers: Balanced regulatory approach, steady technological progress, and selective implementation based on clear ROI.

Probability: 50-60%

Conservative Scenario

Technical and organizational barriers limiting effective adoption

Key Drivers: Restrictive regulations, technical limitations, implementation challenges, and risk-averse organizational cultures.

Probability: 15-20%

Scenario Comparison Matrix

FactorOptimisticBase CaseConservative
Implementation TimelineAcceleratedSteadyDelayed
Market AdoptionWidespreadSelectiveLimited
Technology EvolutionRapidProgressiveIncremental
Regulatory EnvironmentSupportiveBalancedRestrictive
Business ImpactTransformativeSignificantModest

Transformational Impact

Technology becoming increasingly embedded in all aspects of business operations. This evolution will necessitate significant changes in organizational structures, talent development, and strategic planning processes.

The convergence of multiple technological trends—including artificial intelligence, quantum computing, and ubiquitous connectivity—will create both unprecedented security challenges and innovative defensive capabilities.

Implementation Challenges

Technical complexity and organizational readiness remain key challenges. Organizations will need to develop comprehensive change management strategies to successfully navigate these transitions.

Regulatory uncertainty, particularly around emerging technologies like AI in security applications, will require flexible security architectures that can adapt to evolving compliance requirements.

Key Innovations to Watch

Artificial intelligence, distributed systems, and automation technologies leading innovation. Organizations should monitor these developments closely to maintain competitive advantages and effective security postures.

Strategic investments in research partnerships, technology pilots, and talent development will position forward-thinking organizations to leverage these innovations early in their development cycle.

Technical Glossary

Key technical terms and definitions to help understand the technologies discussed in this article.

Understanding the following technical concepts is essential for grasping the full implications of the security threats and defensive measures discussed in this article. These definitions provide context for both technical and non-technical readers.

Filter by difficulty:

platform intermediate

algorithm Platforms provide standardized environments that reduce development complexity and enable ecosystem growth through shared functionality and integration capabilities.

API beginner

interface APIs serve as the connective tissue in modern software architectures, enabling different applications and services to communicate and share data according to defined protocols and data formats.
API concept visualizationHow APIs enable communication between different software systems
Example: Cloud service providers like AWS, Google Cloud, and Azure offer extensive APIs that allow organizations to programmatically provision and manage infrastructure and services.