Many AI experts predict that 2024 will see a significant rise in the use of AI agents, distinct from generative AI models like Claude or ChatGPT, as well as custom GPTs. Here's a brief overview of these differences: - **Generative AI:** Primarily creates content (text, images, code) based on user prompts. - **Custom GPTs:** Modified generative AI specific to target industries or needs. - **AI Agents:** Function more autonomously, performing actions like setting budgets and making recommendations, exemplified by a personal finance agent that manages tasks based on set objectives. Ash Stearn, founder of Ash Stearn AI consultancy, uses a travel analogy to describe AI agents as personalized tour guides that can adapt to unexpected situations, make travel plans, and provide real-time assistance. In contrast, custom GPTs are likened to detailed travel guides that provide information without taking action, while generative AI resembles a generic information desk that requires extensive questioning for specific guidance. From a business standpoint, Stearn emphasizes that AI agents require thorough training and quality input to perform effectively, paralleling the onboarding of new employees. Roberto Luna, CEO of Lunivate, reports significant productivity savings for clients, attributing voice agents as a key growth area that could potentially eliminate traditional call centers. Investment in AI agents is on the rise. Seema Amble, a partner at a16z, highlights advances in AI-led automation enabling faster decision-making and efficiencies in sectors like finance and freight.

The investment in AI is projected to grow considerably, with spending expected to reach $749 billion by 2028. Despite concerns about job displacement, experts agree that AI agents will enhance human work rather than replace it. Stearn notes AI simplifies tedious tasks, allowing for focus on strategic activities. Luna asserts that the real threat to jobs lies not in AI itself but in those who know how to leverage it effectively. Amble concludes that having an AI strategy is essential for competitiveness, framing it as a matter of survival in the market.