The chess pieces of artificial intelligence are being dramatically rearranged. While previous iterations of AI focused on making predictions or generating content, we’re now witnessing the emergence of something far more sophisticated: AI agents that can independently perform complex tasks and make decisions. This third wave of AI, known as ‘agentic AI,’ represents a fundamental shift in how we think about and interact with artificial intelligence in the workplace.
Understanding The Three Waves Of AI
To appreciate where we’re heading, it’s essential to understand where we’ve been. “The first wave was really predictive AI,” explains Silvio Savarese, Executive Vice President and Chief Scientist of Salesforce AI Research. This initial wave enabled businesses to forecast trends and make data-driven decisions. The second wave brought us generative AI, which Savarese describes as the ability to “generate content and allow conversations with humans.” Now, we’re entering the third wave – agentic AI – where AI systems can autonomously execute tasks and interact with other AI agents.
What Makes Agentic AI Different?
Unlike traditional AI assistants, these new AI agents aren’t just responding to prompts or generating content – they’re taking action. They can interact with other agents, make decisions within defined parameters, and execute complex tasks without constant human oversight. “We are now moving into using genetic AI to automate entire tasks and perform actions on our behalf,” Savarese notes, highlighting how this represents a significant leap forward from previous AI capabilities.
The New AI Workforce
Imagine a workplace where AI agents specialize in different roles – from customer service to sales development and beyond. Savarese envisions a future where these agents primarily augment human capabilities, with humans taking on roles similar to chiefs of staff who coordinate and manage teams of AI agents. This transformation is already sparking the emergence of exciting new positions like AI agent trainers, AI workflow orchestrators, and AI ethics compliance officers. While this vision is compelling, the reality may prove more nuanced – as with previous technological revolutions, some routine roles may be automated entirely while others evolve, creating a hybrid environment where humans both orchestrate and collaborate with their AI counterparts.
From Vision To Reality: AI Agents In Action
The practical applications of agentic AI are already taking shape across industries. Take customer service, where AI agents can now handle complex support tickets from start to finish. “Imagine that now you have a customer asking for information about return policies or how to pick up products from their store,” explains Savarese. “The agent will be answering questions on behalf of the company and helping customers navigate through this process.” But this is just the beginning. Consider a near future where your personal AI agent contacts an AI agent of a car rental company to negotiate the best deal based on your preferences and schedule. In healthcare, specialized agents could create patient medication summaries, while in finance, AI agents might handle dispute resolution and insurance claims.
The real power lies in how these agents can work together – Savarese envisions scenarios where multiple AI agents collaborate during meetings, not just taking notes but actively participating by offering relevant insights and data. These agents can be deployed on demand, customized to specific business needs, and scaled up or down as required. It’s a future where the boundary between human and AI workflows becomes increasingly fluid, though with an important caveat: transparency about whether you’re interacting with a human or an AI remains paramount.
Building Trust And Control
While the potential of agentic AI is enormous, its deployment comes with significant responsibilities. “In the enterprise space, if an autonomous agent executes the wrong plan, this leads to a disaster,” Savarese cautions. This reality has led to the development of sophisticated guardrails and the principle of “human at the helm” – ensuring that humans maintain control over critical decision points while allowing AI agents to operate autonomously within well-defined boundaries.
The Road Ahead
As we look to the future, the relationship between humans and AI agents will continue to evolve. We’re moving toward a world where every professional might have their own AI agents, and organizations will maintain fleets of specialized AI workers. However, success in this new paradigm requires a shift in human skills. Professionals will need to understand AI capabilities and limitations, learn to delegate effectively to AI agents and develop new competencies in orchestrating human-AI collaborations.
Preparing For Tomorrow’s Workplace
For organizations still focused on earlier waves of AI, the time to explore agentic AI is now. The transition isn’t just about adopting new technology – it’s about reimagining how work gets done. “Imagine having those powerful tools available for you to automate tasks and how to decompose your workflow in a way that these components can be replaced or implemented by agents,” suggests Savarese, emphasizing the importance of maintaining human oversight and transparency in AI operations.
As we stand on the cusp of this third wave of AI, one thing is clear: the future of work will be shaped by our ability to effectively collaborate with AI agents. Those who embrace this transformation early will be best positioned to harness its potential, creating more efficient, innovative, and productive workplaces where humans and AI agents work together seamlessly.
