Elon Musk announced Tesla needs to build its own semiconductor factory to meet AI chip demand. The “terra fab” could eventually scale to 1 million wafer starts per month. This comes as Musk secured a new pay package worth up to $1 trillion.
According to a Forbes analysis, enterprise software follows a predictable pattern where innovation outpaces security every time. From SaaS to GenAI, the market rewards what works now, not what’s secure later. This isn’t a bug in the system—it’s how the system actually works.
Google’s TPU v7 Ironwood accelerators deliver Blackwell-level performance with 4.6 petaFLOPS FP8 and 192GB HBM3e memory. The real story is Google’s ability to scale these into pods of up to 9,216 chips, dwarfing Nvidia’s rack-scale approach. This could reshape the AI hardware landscape as major play
Analysts believe Apple’s move into robotics represents the next major platform shift after Apple Intelligence. The first consumer product, a motorized tabletop hub, is expected to launch in 2027 and could eventually scale to humanoid and industrial robots.
Nvidia CEO Jensen Huang told the Financial Times that China will win the global AI race, citing US regulatory uncertainty and energy limitations. His comments come just after Nvidia became the first $5 trillion company and amid ongoing tensions over chip sales to China. Huang specifically pointed to
AWS signed a $38 billion deal with OpenAI that will see the AI company running massive workloads on Amazon’s cloud infrastructure. The deal highlights growing concerns about AI’s dependency on centralized cloud providers and the concentration of power in just a few companies.
New AI browsers that surf the web for you are proving dangerously gullible. Security tests show they’re clicking phishing pages and falling for scams that humans would spot instantly. The automation comes with serious security tradeoffs.
Researchers have identified two existing cancer drugs that reversed Alzheimer’s symptoms in mouse models. The combination therapy reduced harmful tau protein clumps and improved learning and memory. Human trials are the next step.
American businesses are missing out on nearly $3 trillion in productivity gains due to poor AI implementation strategies. The problem isn’t the technology itself, but how organizations are enabling their workforce to use it effectively. This represents a massive untapped opportunity for companies th
The typical AI founder is now 29 years old, five years younger than during the 2010s software boom. These technical founders are building smaller teams and scaling revenue faster than ever before, with tools like Cursor hitting $100 million in annual recurring revenue within just one year.
