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AI startups raised $42.5 billion in 2023, with generative AI alone attracting 48 percent of that. Profits, though, are not yet visible. For all the revenues OpenAI has generated, it needs tens of billions of dollars more to fund its plans. Alphabet and Microsoft investors too have expressed concerned about the mounting costs of AI developments in recent months. On ground, AI hasn’t been the game changer these large companies had hoped for.

While AI accelerates swift, efficient M&A deals, however, privacy, cyber security, accuracy, reskilling, ecological sustainability, and eliminating algorithmic bias are critical points to be considered by the acquirors and investors.

As India leads the way in the AI revolution, its time to change the narrative from caution to constructive action. AI is not a job-stealing monster, but a catalyst for human betterment. In healthcare, it can predict diseases and personalize medicine. In education, it can adapt to individual learning styles. In the creative sector, AI can help overcome writers block and optimize compositions for musicians.

Our daily TLDR of important AI stories you must know about.

Narrowing down the right antibacterial chemicals against bacteria can be a long, difficult process. This is where Artificial Intelligence can be helpful for researchers.

Stuart Russell, AI expert and Professor of Computer Science at UC Berkeley, has issued a warning about the potential dangers if AI development is allowed to go on without any regulation. While Russell talked about the unlimited potential for artificial intelligence in a conversation with Business Today Magazine, he also warned against a Chernobyl-like disaster for AI if it continues to grow with no guard rails. Find out all about it in this Business Today Visual Story.

The AI programme is taking the world by storm and if you're still not using it, read on to find out how it can help you

AI will not replace you, but people who use it may: Let’s take a look at why AI will not replace your job and why there is no need to fear its integration into the workforce.

A new proof-of-concept study shows how AI could combine data to come up with a more objective – and potentially more accurate – prognosis for cancer patients.