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The rise of AI agents is reminiscent of past tech failures, like Boo.com, which launched a virtual shopping assistant but collapsed due to slow technology. Today, major tech companies are investing heavily in AI, hoping that these agents will succeed where previous attempts failed. The potential for AI agents to automate tasks and improve efficiency is driving significant interest and investment.
AI agents are expected to operate independently, focusing on achieving goals rather than following explicit instructions. Companies like Amazon and Salesforce are already leveraging AI to enhance productivity and customer service, with projections suggesting that AI agents could significantly impact global e-commerce sales by 2030. However, the return on investment for these technologies remains uncertain, as businesses must adapt to new workflows and train employees to effectively utilize AI.
• AI agents are expected to automate tasks and improve efficiency.
• Investments in AI face uncertain returns amid competition from global rivals.
Agentic AI refers to AI systems that can act independently and proactively to achieve goals.
Generative AI involves models that can create human-like text and perform complex tasks.
Large-language models are AI systems trained on vast amounts of text to generate coherent language.
Microsoft is developing AI features within its software suite, including Microsoft 365, to enhance user productivity.
OpenAI is a leader in AI research, known for its ChatGPT model, which has spurred interest in AI agents.
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