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Global venture capital investment in agentic AI startups hits USD 2.8 billion in early 2025, report says

Editorial Team
Editorial Team
Capital Investment
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Global venture capital investment in agentic AI startups reached USD 2.8 billion in the first half of 2025, according to a report by Prosus and Dealroom.co titled “The Rise of the Agentic Workforce: How Autonomous AI Agents Will Transform the Workplace.”

Why it matters: The rise of agentic AI represents a significant shift in how AI technology will be integrated into the workplace, with AI agents working alongside human employees and taking on tasks and decision-making processes with minimal human oversight.

The details:

  • Agentic AI is positioned as the third wave of artificial intelligence, following predictive and generative models.
  • The report maps over 1,500 agentic AI startups, categorizing them by application sectors, platforms for building AI agents, and tools that enhance their operations.
  • Coding agents have achieved strong market traction, with companies like Cursor becoming some of the fastest-growing in the industry.
  • The report forecasts that agentic AI will account for 10 percent of all AI funding rounds in 2025, representing approximately USD 6.7 billion in investment.

Europe has emerged as a significant contributor to the growth of agentic AI, with customer service and healthcare platforms receiving the highest funding.

What they’re saying:

  • “The rise of agentic AI represents a foundational change in how we will work with AI technology in the coming years,” said Fabricio Bloisi, CEO of Prosus.
  • “We are past the tipping point of AI agent adoption, and it is now firmly rooted in the workplace,” Bloisi added.
  • “Fully AI employees are months, rather than years, away. The companies that adapt quickly to this change will be the ones that thrive in the new era of work,” Bloisi noted.

What’s next: The report foresees a future where workplaces will be restructured to integrate multiple AI agents, with human employees guiding teams of digital colleagues and focusing on strategic direction, creative problem-solving, and performance oversight. The findings highlight agentic AI as a critical area of innovation and competition in the coming years.

Jon Krohn and Edward Donner have released a comprehensive four-hour workshop on agentic AI engineering, providing insights into the development and practical applications of AI agents.

Why it matters: The workshop aims to clarify the concept of agentic AI and emphasize the potential for deriving business value from agentic workflows, driven by the rapid improvement of large language models (LLMs).

The details:

  • The workshop covers key aspects such as defining AI agents, the case for agentic AI, core concepts, and workforce implications.
  • It offers insights into various agentic AI frameworks, including the Model Context Protocol (MCP), OpenAI Agents SDK, and Microsoft Autogen.
  • Practical coding exercises allow viewers to recreate OpenAI’s Deep Research functionality, design agentic systems using workflow design patterns, develop autonomous software engineering teams, and build autonomous traders.

By the end of the workshop, viewers will be able to grasp the fundamental concepts of AI agents, implement agentic systems using popular frameworks, and develop practical agentic applications.

Generative AI (GenAI) is transforming IT operations, offering opportunities to drive efficiency, resilience, and agility through data-driven automation and proactive, self-managing capabilities.

Why it matters: GenAI introduces a powerful means to transform managed services by automating routine tasks, identifying and resolving incidents proactively, and streamlining processes across the IT landscape, enabling organizations to reduce costs, minimize manual intervention, and accelerate innovation cycles.

The details:

  • Key applications and benefits of GenAI in IT operations include preventing and eliminating incidents, accelerating incident resolution, automating repetitive and routine tasks, and increasing productivity.
  • GenAI can predict failures, optimize maintenance schedules, promote self-healing, and assist with problem management.
  • It can automate ticket creation, response, and resolution, as well as manage tickets, monitor systems, and generate reports.
  • GenAI can create knowledge management, automate coding for enhancements, and automate testing for changes.

The bottomline: Integrating GenAI into technology managed services signifies a paradigm shift poised to redefine the industry. By embracing this technology strategically and responsibly, organizations can achieve new heights of efficiency, innovation, and customer satisfaction while upholding the highest standards of integrity and trust.

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