ChatGPT Transforms Into a Career Platform — Job Search and Resume Editor Built In

OpenAI is evolving ChatGPT beyond a conversational AI into a career support platform. The newly added job search feature surfaces personalized job listings from major platforms such as Indeed, Upwork, and Appcast. Available in the US only for now, it also comes with a feature that lets users create resumes directly within ChatGPT and optimize them for each application.

Until now, ChatGPT has been positioned as a "tool that answers questions," but this latest addition signals a push into more practical territory. Embedding AI into the concrete workflow of job hunting could dramatically expand ChatGPT's use cases. That said, how accurate the matching actually proves to be—and how its competitive relationship with established job platforms plays out—remains to be seen.

Berkshire Hathaway Invests $10 Billion in Alphabet's AI Infrastructure

It has been revealed that Berkshire Hathaway, led by Warren Buffett, is making a $10 billion private investment in Alphabet's AI infrastructure expansion. Alphabet is raising a total of $80 billion to scale up its AI infrastructure, with capital expenditure for 2026 expected to reach $190 billion. And the consensus among insiders is that "this number is only going up."

Buffett was long known for steering clear of tech stocks, but in recent years he has changed course with major technology investments such as Apple. The Alphabet investment can also be read as a sign of the growing recognition that AI infrastructure is becoming "the next-generation utility." Even so, investors remain divided over the outlook for recouping such a massive $190 billion capital expenditure plan.

Marvell Technology Soars — Jensen Huang Declares It "the Next Trillion-Dollar Company"

NVIDIA's Jensen Huang said at Computex in Taipei that Marvell Technology will become "the next trillion-dollar company," sending the company's stock soaring 26% in premarket trading. That would value the company at more than five times its current market capitalization.

Huang declared that "the era of useful AI has arrived" and emphasized that Marvell's valuation will expand rapidly. Marvell CEO Matt Murphy also took the stage, highlighting the company's presence in the semiconductor and networking sectors. It is highly unusual for NVIDIA's chief to publicly back a specific company, and the remark can be read as a strategic message amid the ongoing realignment of the AI semiconductor supply chain.

Power Struggle Over AI Regulation Intensifies Within the Trump Administration

According to WIRED, divisions over AI regulation are deepening inside the Trump administration. President Trump himself once rescinded an executive order on AI regulation, and administration officials and AI industry executives are now grappling with "how to rebuild what's left."

The absence of regulation may seem like a win for tech companies at first glance, but the industry itself is uneasy about the uncertainty. Without clear rules, long-term investment planning becomes difficult, and aligning with regulations in other countries remains a challenge. Within the administration, the standoff between the pro-regulation and anti-regulation camps has become entrenched, and it is unclear whether a unified policy can ever be forged.

University of California System Faces Internal Breakdown Over Full-Scale AI Adoption

According to The New York Times, the University of California system's push for full-scale AI adoption has opened up deep internal rifts. Conflict has intensified between advocates and skeptics over the use of AI in education, and debate is growing ever more muddled over its impact on student learning, the safeguarding of academic integrity, and the very essence of education itself.

The relationship between higher education and AI has long been contested, but it is rare to see adoption pushed through at a university-wide scale. The University of California case can be seen as illustrating the "unforeseen costs" educational institutions face when implementing AI. At the root of the problem seems to be a mismatch with the organizational culture receiving the technology, rather than the rollout of the technology itself.

---

**Note:** This article is based on collected news data. Please refer to the original sources for the latest information.