The US is preparing for a massive AI expansion.

Waze cofounder Uri Levine predicted an increased demand for software engineers as AI tools boost productivity.

More advanced AI systems show a better capacity to scheme and lie to us, and they know when they're being watched — so they change their behavior to hide their deceptions.

In this day and age of shifting regulation, the position of tax technology is no longer merely operational—instead, it's becoming more strategic. As GenAI integrates itself into fundamental business systems, leaders in tax are no longer merely dealing with automation but accountability.

The French agency holding company said it's set aside 300 million euros to make further "bolt-on acquisitions" this year.

Alphabet reported second-quarter results on Wednesday that beat on revenue and earnings, but the company said it would raise its capital investments by $10 billion in 2025. Shares of the company were up as much as 3% in after-hours trading. The company’s overall revenue grew 14% year over year, higher than the 10.9% Wall Street expected.

To me, the simplest explanation of the blowout earnings report is that AI demand is not only strong, but it's also accelerating. While growth will fluctuate from quarter to quarter, I don't really see TSMC as a cyclical semiconductor stock at this point.

Google DeepMind CEO said it's because Meta is behind in the AI race. The AI talent war is raising concerns about increasing costs and competition among top tech firms. Google DeepMind's CEO says there is a simple reason Meta is spending millions of dollars to attract AI talent.

Capital allocation has always been a high-stakes endeavor, but several market realities are forcing a reckoning for limited partner (LP) investors.

Artificial intelligence (AI) investing remains the prevailing market theme, and it doesn't appear to be slowing. Even though 2025 is halfway over, there are still plenty of AI stocks that are worth your investment dollars and could see impressive growth throughout the rest of the year.

Structural heart disease often shows no symptoms until it's too late, but Columbia's AI tool, EchoNext, can flag potential cases from routine ECGs that trained doctors might miss.

Relying solely on technical benchmarks can result in missing or misinterpreting the broader value—or potential risk—that AI systems introduce.