With about 100 million tracks available and over 600 million subscribers, helping listeners find the music they will love has become a navigational challenge for Spotify. It’s the promise of personalization and meaningful recommendations that will give the vast catalog more meaning, and that is central to Spotify’s mission.
The streaming audio giant’s suite of recommendation tools has grown over the years: Spotify Home feed,Discover Weekly,Blend,Daylist, andMade for You Mixes. And in recent years, there have been signs that it is working. According to data released by Spotify at its 2022 Investor Day, artist discoveries every month on Spotify had reached 22 billion, up from 10 billion in 2018, “and we’re nowhere near done,” the company stated at that time.
Over the past decade or more, Spotify has been investing in AI and, in particular, in machine learning. Its recently launched AI DJ may be its biggest bet yet that technology will allow subscribers to better personalize listening sessions and discover new music. The AI DJ mimics the vibe of radio by announcing the names of songs and lead-in to tracks, something aimed in part to help ease listeners into extending out of their comfort zones. An existing pain point for AI algorithms — which can be excellent at giving listeners what it knows they already like — is anticipating when you want to break out of that comfort zone.
The AI DJ combines personalization technology, generative AI, and a dynamic AI voice, and listeners can tap the DJ button when they want to hear something new, and something less-directly-derived from their established likes. Behind the dulcet tones of an AI DJ there are people, tech experts and music experts, who aim to improve the recommendation capacity of Spotify’s tools. The company has hundreds of music editors and experts across the globe. A Spotify spokesperson said the generative AI tool allows the human experts to “scale their innate knowledge in ways never before possible.”
The data on a particular song or artist captures a few attributes: particular musical features, and which song or artist it has been typically paired withamong the millions of listening sessions whose data the AI algorithm can access. Gathering information about the song is a fairly easy process, including release year, genre, and mood — from happy to danceable or melancholic. Various musical attributes, such as tempo, key, and instrumentation, are also identified. Combining this data associated with millions of listening sessions and other users’ preferences helps to generate new recommendations, and makes the leap possible from aggregated data to individual listener assumptions.
In its simplest formulation, “Users who liked Y also liked Z. We know you like Y, so you might like Z,” is how an AI finds matches. And Spotify says it’s working. “Since launching DJ, we’ve found that when DJ listeners hear commentary alongside personal music recommendations, they’remore willing to try something new (or listen to a song they may have otherwise skipped),” the spokesperson said.
If successful, it’s not just listeners that get relief from a pain point. A great discovery tool is as beneficial to the artists seeking to build connections with new fans.
Julie Knibbe, founder & CEO of Music Tomorrow — which aims to help artists connect with more listeners by understanding how algorithms work and how to better work with them — says everyone is trying to figure out how to balance familiarity and novelty in a meaningful way, and everyone is leaning on AI algorithms to help make this possible. Be she says the balance between discovering new music and staying with established patterns is a central unresolved issue for all involved, from Spotify to listeners and the artists.
“Any AI is only good at what you tell them to do,” Knibbe said. “These recommender systems have been around for over a decade and they’ve become very good at predicting what you will like. What they can’t do is know what’s in your head, specifically when you want to venture out into a new musical terrain or category.”
Spotify’s Daylist is an attempt to use generative AI to take into account established tastes, but also the varying contexts that can shape and reshape a listeners’ tastes across the course of a day, and make new recommendations that fit various moods, activities and vibes. Knibbe says it’s possible that improvements like these continue, and the AI gets better at finding the formula for how much novelty a listener wants, but she added, “the assumption that people want to discover new music all the time is not true.”
Most people still return, fairly happily, to familiar musical terrain and listening patterns.
“You have various profiles of listeners, curators, experts … people put different demands on the AI,” Knibbe said. “Experts are more difficult to surprise, but they aren’t the majority of listeners, who tend to be more casual,” and whose Spotify usage, she says, often amounts to creating a “comfortable background” to daily life.
Technology optimists often speak in terms of an era of “abundance.” With 100 million songs available, but many listeners preferring the same 100 songs a million times, it’s easy to understand why a new balance is being sought. But Ben Ratliff, a music critic and author of “Every Song Ever: Twenty Ways to Listen in an Age of Musical Plenty,” says algorithms are less solution to this problem than a further entrenching of it.
“Spotify is good at catching onto popular sensibilities and creating a soundtrack for them,” Ratliff said. “Its Sadgirl Starter Pack playlist, for instance, has a great name and about a million and a half likes. Unfortunately, under the banner of a gift, the SSP simplifies the oceanic complexity of young-adult depression into a small collection of dependably ‘yearny’ music acts, and makes hard clichés of music and sensibility form more quickly.”
Works of curation that are clearly made by actual people with actual preferences remain Ratliff’s preference. Even a good playlist, he says, might have been made without much intention and conscience, but just a developed sense of pattern recognition, “whether it’s patterns of obscurity or patterns of the broadly known,” he said.
Depending on the individual, AI may have equal chances of becoming either a utopian or dystopian solution within the 100-million track universe. Ratliff says most users should keep it more simple in their streaming music journeys. “As long as you realize that the app will never know you in the way you want to be known, and as long as you know what you’re looking for, or have some good prompts at the ready, you can find lots of great music on Spotify.”
U.S. President Donald Trump (right) and C.C. Wei, chief executive officer of Taiwan Semiconductor Manufacturing Co. (left), shake hands during an announcement of an additional $100 billion into TSMC’s U.S. manufacturing at the White House in Washington, DC, U.S., on March 3, 2025.
Bloomberg | Bloomberg | Getty Images
The latest version of U.S. President Donald Trump’s “big beautiful bill” could make it cheaper for semiconductor manufacturers to build plants in the U.S. as Washington continues its efforts to strengthen its domestic chip supply chain.
Under the bill, passed by the Senate Tuesday, tax credits for those semiconductor firms would rise to 35% from 25%. That’s more than the 30% increase that had made it into a draft version of the bill.
The new provisions expand on tax incentives under the 2022 CHIPS and Science Act, which provided grants of $39 billion and loans of $75 billion for U.S.-based semiconductor manufacturing projects.
But before the expanded credits come into play, Trump’s sweeping domestic policy package will have to be passed again in the House, which narrowly passed its own version last month. The president has urged lawmakers to get the bill passed by July 4.
Trump versus Biden
Since Trump’s first term, Washington has been trying to onshore more of the advanced semiconductor supply chain from Asia, support its domestic players and limit China’s capabilities.
Although tax provisions in Trump’s sweeping policy bill expand on those in the Biden administration’s CHIPS Act, his overall approach to the semiconductor industry has been different.
Earlier this year, the president even called for a repeal of the CHIPS Act, though Republican lawmakers have been reluctant to act on that front. Still, U.S. Commerce Secretary Howard Lutnick said last month that the administration was renegotiating some of the Biden administration’s grants.
Trump has previously stated that tariffs, as opposed to the CHIPS Act grants, would be the best method of onshoring semiconductor production. The Trump administration is currently conducting an investigation into imports of semiconductor technology, which could result in new duties on the industry.
In recent months, a number of chipmakers with projects in the U.S. have ramped up planned investments there. That includes the world’s largest contract chipmaker, TSMC, as well as American chip companies such as Nvidia, Micron and GlobalFoundries.
According to Daniel Newman, CEO at tech advisory firm Futurum Group, the threat of Trump’s tariffs has created more urgency for semiconductor companies to expand U.S. capacity. If the increased investment tax credits come into law, those onshoring efforts are only expected to accelerate, he told CNBC.
“Given the risk of tariffs, increasing manufacturing in the U.S. remains a key consideration for these large semiconductor companies,” Newman said, adding that the tax credits could be seen as an opportunity to offset certain costs related to U.S.-based projects.
Elon Musk, chief executive officer of Tesla Inc., during a meeting between US President Donald Trump and Cyril Ramaphosa, South Africa’s president, not pictured, in the Oval Office of the White House in Washington, DC, US, on Wednesday, May 21, 2025.
Jim Lo Scalzo | Bloomberg | Getty Images
Tesla shares have dropped 7% from Friday’s closing price of $323.63to the $300.71 close on Tuesday ahead of the company’s second-quarter deliveries report.
Wall Street analysts are expecting Tesla to report deliveries of around 387,000 — a 13% decline compared to deliveries of nearly 444,000 a year ago, according to a consensus compiled by FactSet. Prediction market Kalshi told CNBC on Tuesday that its traders forecast deliveries of around 364,000.
Shares in the electric vehicle maker had been rising after Tesla started a limited robotaxi service in Austin, Texas, in late June and CEO Elon Musk boasted of its first “driverless delivery” of a car to a customer there.
The stock price took a turn after Musk on Saturday reignited a feud with President Donald Trump over the One Big Beautiful Bill Act, the massive spending bill that the commander-in-chief endorsed. The bill is now heading for a final vote in the House.
That legislation would benefit higher-income households in the U.S. while slashing spending on programs such as Medicaid and food assistance.
Musk did not object to cuts to those specific programs. However, Musk on X said the bill would worsen the U.S. deficit and raise the debt ceiling. The bill includes tax cuts that would add around $3 trillion to the national debt over the next decade, according to an analysis by the Congressional Budget Office.
The Tesla CEO has also criticized aspects of the bill that would cut hundreds of billions of dollars in support for renewable energy development in the U.S. and phase out tax credits for electric vehicles.
Such changes could hurt Tesla as they are expected to lower EV sales by roughly 100,000 vehicles per year by 2035, according to think tank Energy Innovation.
The bill is also expected to reduce renewable energy development by more than 350 cumulative gigawatts in that same time period, according to Energy Innovation. That could pressure Tesla’s Energy division, which sells solar and battery energy storage systems to utilities and other clean energy project developers.
Trump told reporters at the White House on Tuesday that Musk was, “upset that he’s losing his EV mandate,” but that the tech CEO could “lose a lot more than that.” Trump was alluding to the subsidies, incentives and contracts that Musk’s many businesses have relied on.
SpaceX has received over $22 billion from work with the federal government since 2008, according to FedScout, which does federal spending and government contract research. That includes contracts from NASA, the U.S. Air Force and Space Force, among others.
Tesla has reported $11.8 billion in sales of “automotive regulatory credits,” or environmental credits, since 2015, according to an evaluation of the EV maker’s financial filings by Geoff Orazem, CEO of FedScout.
These incentives are largely derived from federal and state regulations in the U.S. that require automakers to sell some number of low-emission vehicles or buy credits from companies like Tesla, which often have an excess.
Regulatory credit sales go straight to Tesla’s bottom line. Credit revenue amounted to approximately 60% of Tesla’s net income in the second quarter of 2024.
Amazon founder Jeff Bezos leaves Aman Venice hotel, on the second day of the wedding festivities of Bezos and journalist Lauren Sanchez, in Venice, Italy, June 27, 2025.
Yara Nardi | Reuters
Amazon founder Jeff Bezos unloaded more than 3.3 million shares of his company in a sale valued at roughly $736.7 million, according to a financial filing on Tuesday.
The stock sale is part of a previously arranged trading plan adopted by Bezos in March. Under that arrangement, Bezos plans to sell up to 25 million shares of Amazon over a period ending May 29, 2026.
Bezos, who stepped down as Amazon’s CEO in 2021 but remains chairman, has been selling stock in the company at a regular clip in recent years, though he’s still the largest individual shareholder. He adopted a similar trading plan in February 2024 to sell up to 50 million shares of Amazon stock through late January of this year.
Bezos previously said he’d sell about $1 billion in Amazon stock each year to fund his space exploration company, Blue Origin. He’s also donated shares to Day 1 Academies, his nonprofit that’s building a chain of Montessori-inspired preschools across several states.
The most recent stock sale comes after Bezos and Lauren Sanchez tied the knot last week in a lavish wedding in Venice. The star-studded celebration, which took place over three days and sparked protests from some local residents, was estimated to cost around $50 million.