SoftBank’s renewed AI activity suggests its India investment strategy may be entering a new phase. The company’s latest funding moves indicate growing belief that India could become a significant destination for AI founders and next-generation technology businesses.
or as long as anyone can remember, the arithmetic of the modern workplace has been built on a single, unchallenged assumption: younger workers are the future. They are cheaper, faster to train on new technology, and native to the digital world in ways their older colleagues will never be. Companies have spent decades optimizing their hiring pipelines, their office layouts, and their cultural messaging around this premise. Age discrimination — quiet, systemic, and largely unchallenged — became the background radiation of the American career. If you were over 50 and still employed, you were lucky. If you were over 50 and looking, you were invisible.
In September of 2025, the United States Department of Defense signed a modest agreement with a San Francisco artificial intelligence startup called Scale AI. The contract, valued at $100 million, was structured as a Production Other Transaction Authority — a procurement vehicle designed to bypass the multi‑year acquisition cycles that have historically kept military technology a generation behind the commercial state of the art. It was a pilot, a test, a tentative step toward integrating AI into the operational bloodstream of the world's most powerful military.In September of 2025, the United States Department of Defense signed a modest agreement with a San Francisco artificial intelligence startup called Scale AI. The contract, valued at $100 million, was structured as a Production Other Transaction Authority — a procurement vehicle designed to bypass the multi‑year acquisition cycles that have historically kept military technology a generation behind the commercial state of the art. It was a pilot, a test, a tentative step toward integrating AI into the operational bloodstream of the world's most powerful military.
Larry Peter is not the kind of founder who gives keynote speeches at technology conferences. He does not use the word "scalable" or "total addressable market" or "digital transformation." He uses words like "cow" and "butter" and, when the subject turns to the two years he nearly lost everything, words like "lost" and "sweating bullets" and "thank God."
In early February, Mustafa Suleyman sat down for an interview with the Financial Times and said something that has been ricocheting through boardrooms, universities, and dinner tables ever since. The CEO of Microsoft AI, a man who oversees one of the largest artificial intelligence research organizations on Earth, looked into the camera and delivered a timeline so precise, so sweeping, and so close that it landed with the force of a thunderclap. Within 12 to 18 months, he said, artificial intelligence would achieve “human‑level performance on most, if not all professional tasks.” The lawyer reviewing contracts. The accountant reconciling ledgers. The project manager coordinating workflows. The marketer drafting campaigns. All of them, he argued, are performing work that “will be fully automated by AI within the next year or 18 months.”
On June 12, barring a last‑minute delay, Elon Musk's SpaceX will list on the Nasdaq under the ticker SPCX. The company will price its shares the night before — June 11 — and begin trading the following morning, opening an auction that will almost certainly become the largest initial public offering in the history of global capital markets. The target: $75 billion raised at a valuation of roughly $1.75 trillion, with some price talk racing as high as $2 trillion. Either number eclipses Saudi Aramco's $29 billion raise at $1.7 trillion in 2019 — the current record holder — and does so with a margin so wide it feels less like a market event than a rewriting of financial gravity.
On a Thursday morning in mid‑May, a chip company most Americans had never heard of became worth more than Ford, more than GM, more than any automaker or airline that anchors the Main Street imagination. Cerebras Systems went public on the Nasdaq at $185 per share. By the closing bell, it had surged 68 percent to $311.07, giving it a market capitalization just shy of $95 billion on a fully diluted basis. The $5.55 billion raised made it the largest U.S. technology IPO since Snowflake in 2020. The offering was 20 times oversubscribed.
For most of the last twenty years, MediaTek was the invisible giant of the smartphone revolution. It powered the affordable handsets that connected billions of people across Asia, Africa, and Latin America—mid-tier and entry-level devices that never made headlines but quietly built the world's largest mobile chip company by shipment volume. At its peak, MediaTek's name was synonymous with smartphones the way Intel's was with PCs.
For decades, a class of materials called relaxor ferroelectrics has powered technologies that touch nearly every human life. Ultrasound machines that image unborn children. Sonar systems that navigate submarines. Precision microphones that capture sound. Actuators that move with nanometer precision. These materials are everywhere, hidden inside devices that work so reliably that no one thinks to ask how.
For half a century, the semiconductor industry has been governed by a single, relentless principle: make the transistor smaller, and everything gets better. Smaller transistors switch faster, consume less power, and pack more densely onto a chip. Moore's Law, the observation that transistor density doubles roughly every two years, has been the drumbeat of progress, and the industry has marched to it with extraordinary discipline.