Breaking news

Elon Musk’s India Play: A Strategic Win Or A One-Sided Deal?

India may be rolling out the red carpet for Elon Musk, but the Tesla CEO could end up setting the terms of the deal—and not necessarily in New Delhi’s favor. While the electric vehicle giant is finally making moves in the world’s third-largest car market, Washington’s trade priorities could limit India’s leverage in securing the manufacturing investment it craves.

According to Reuters, Tesla has locked in locations for two stores in New Delhi and Mumbai and is actively hiring for front-end and operational roles. This has fueled speculation that Musk’s recent meeting with Indian Prime Minister Narendra Modi might have cleared the way for Tesla to officially enter the Indian market.

The biggest hurdle? Import tariffs. India has long used steep duties on foreign vehicles as a bargaining chip to encourage local production. Musk, however, has been reluctant to commit to building cars in India—likely because the country’s luxury EV market is still in its infancy compared to China, Tesla’s second-largest revenue source after the U.S.

Modi may now face pressure to rethink tariffs, either as a gesture toward the U.S. or to lure Tesla in. However such concessions could weaken India’s negotiating position. Trump has already dismissed the idea of Tesla using an Indian factory to bypass tariffs, calling it “unfair” to American workers. More importantly, Tesla may not need additional manufacturing capacity at all. In 2024, the company utilized only about 75% of its existing plants in the U.S., Germany, and China—a sign that it anticipates slowing global demand.

For India, the real risk isn’t just in lowering tariffs; it’s in making concessions only to end up with Tesla showrooms rather than factories. One potential bargaining chip remains: Musk’s satellite internet venture, Starlink, which is still awaiting regulatory approval in India. But with U.S. trade policy shifting and Tesla’s global strategy in flux, New Delhi must tread carefully. Betting big on Musk could bring India long-awaited EV investment—or leave it with little more than a high-profile retail expansion.

The AI Agent Revolution: Can the Industry Handle the Compute Surge?

As AI agents evolve from simple chatbots into complex, autonomous assistants, the tech industry faces a new challenge: Is there enough computing power to support them? With AI agents poised to become integral in various industries, computational demands are rising rapidly.

A recent Barclays report forecasts that the AI industry can support between 1.5 billion and 22 billion AI agents, potentially revolutionizing white-collar work. However, the increase in AI’s capabilities comes at a cost. AI agents, unlike chatbots, generate significantly more tokens—up to 25 times more per query—requiring far greater computing power.

Tokens, the fundamental units of generative AI, represent fragmented parts of language to simplify processing. This increase in token generation is linked to reasoning models, like OpenAI’s o1 and DeepSeek’s R1, which break tasks into smaller, manageable chunks. As AI agents process more complex tasks, the tokens multiply, driving up the demand for AI chips and computational capacity.

Barclays analysts caution that while the current infrastructure can handle a significant volume of agents, the rise of these “super agents” might outpace available resources, requiring additional chips and servers to meet demand. OpenAI’s ChatGPT Pro, for example, generates around 9.4 million tokens annually per subscriber, highlighting just how computationally expensive these reasoning models can be.

In essence, the tech industry is at a critical juncture. While AI agents show immense potential, their expansion could strain the limits of current computing infrastructure. The question is, can the industry keep up with the demand?

Become a Speaker

Become a Speaker

Become a Partner

Subscribe for our weekly newsletter