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Craig Newmark, founder of Craigslist

Source: Bleacher + Everard

Craig Newmark made his fortune off a website, founded in 1995, that served as an early online bulletin board and looks like it hasn’t been updated in two decades.

That website, Craigslist, is still cranking along, featuring apartment listings, an active jobs board and items for sale. But the privately held company has long been surpassed in value by the likes of Airbnb, LinkedIn and Facebook Marketplace, which all face Wall Street’s demands for growth and profit.

Though Newmark’s internet company may be outdated, his concerns about where the industry is headed are most certainly not. Since the 2015 debut of Craig Newmark Philanthropies, the entrepreneur has donated many millions of dollars to various causes involving media and technology.

Most recently, his organization contributed $3 million to help fund a new artificial intelligence and education initiative from Common Sense Media, the nonprofit told CNBC this week.

“While I tried to pay some attention to what was going on, just everything caught me by surprise,” Newmark said, referring to the current boom of generative AI and all the new and intelligent chatbots.

Newmark, 70, spoke to CNBC as he was recovering from a minor heart procedure he went through in late August. The heart ablation required Newmark to lay on his back “the whole time in the wrong position” and he “woke up with a lot of back pain,” he said.

More than the surgery, Newmark wanted to talk about the hospital food.

“Hospital pudding is really good,” he said. “And since they served my lunch cold, I asked them and got more containers of pudding.”

Newmark, who ran his business out of San Francisco but now lives with his wife in New York, said the hospital stay didn’t cause him to reflect much on mortality, as he’d already addressed such existential issues when he decided to simplify his life by giving away much of his Craigslist riches.

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Newmark’s foundation has principally focused on donating to organizations and causes pertaining to journalism, combating misinformation, countering online harassment, cybersecurity issues, and supporting veterans and military families.

The rapid evolution of AI and its potential hazards have recently caught Newmark’s attention, and his money.

The goal of Common Sense’s AI project is to provide an AI ratings system for parents, educators, policymakers and regulators so they can evaluate what makes certain tools like OpenAI’s ChatGPT safe or unsafe for children. Additionally, the nonprofit is offering online AI literacy courses intended to help parents and educators teach basic AI fundamentals to children.

The full scope of AI’s capabilities and potential for societal harm became more clear to Newmark by the time companies began “modifying search engines to use generative AI.”

“I realized that if a search engine was using sources that weren’t reliable, if the sources were about lying to people, that would create a big, ethical problem, and you really don’t want a news source of any sort to knowingly lie,” Newmark said.

Newmark is concerned that bad actors will use generative AI to more easily amplify and spread disinformation. At the same time, he’s worried that tech companies, particularly in social media, “aren’t even trying anymore to get rid of stuff they know is dishonest,” he said.

Tech companies like Meta, Amazon and X (formerly known as Twitter) recently laid off numerous trust and safety workers as part of major cost-cutting initiatives, but have said that the downsizing won’t affect the safety of their platforms.

‘Bad uses’ of the internet

Meanwhile, AI has the potential to profoundly affect society, like the internet and the printing press before it, Newmark said. That’s an area where he has notable expertise. Craigslist was both hugely disruptive to newspapers and their classified ads sections, and has been a site that’s attracted criminals and scammers.

Few people predicted the “bad uses” of the internet, which has allowed nefarious actors to “mostly lie to people in large numbers,” Newmark said.

“I guess the profits to be made in being a really good professional liar, those profits have greatly increased because the internet is a big amplifier,” Newmark said. “It’s everyone’s printing press, and you get to use it as a printing press, whether your intentions are good or bad.”

Newmark said he became interested in language-generating software like ChatGPT in the early 1970s, “when people were beginning to talk about language understanding and neural networks.” However, he says, “I didn’t really understand it.”

Now the technology is here and spreading rapidly.

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Newmark said he doesn’t want to name names when it comes to the organizations he fears are creating the most societal discontent through AI, because he’s previously been scarred for getting that specific.

“In the past when I’ve pointed out major problems, I’ve learned the hard way that I’m no match for someone who lies for a living,” Newmark said. “So, I’m allowing myself to be chickens—.”

Rather, he said he relies on “people who are both braver and smarter” to call public attention to those matters.

“Protecting kids when it comes to AI is a big issue,” Newmark said, regarding his donation to Common Sense Media. “I have no idea how I would go about getting started, but I know where to put my money where my mouth is.”

Why Common Sense?

“A lot of groups and politicians talk about protecting kids,” Newmark said. “But these guys are the real deal, and so I’m helping them.”

Misinformation and journalism

Newmark acknowledged that the topics of misinformation, journalism and content moderation have become more polarized and politicized of late. House Judiciary Chair Jim Jordan, R-Ohio, alleged that tech companies unfairly censor conservative speech, and he’s undertaken a “censorship investigation” to probe suspected ties between the executive branch and certain technologists and researchers.

Several academics previously told CNBC that the politicized landscape has led to some organizations cutting back on funding research into combating misinformation for fear of being publicly criticized.  

“Some people are backing off, some people are getting braver. Again, I’m not very brave,” Newmark said. He highlighted the Knight Foundation and Ford Foundation as organizations that are “doing brave things.”

Within journalism, Newmark’s most high-profile endeavor is the City University of New York’s Craig Newmark Graduate School in Journalism. The program was renamed in 2018 after Newmark endowed the school with a $20 million gift, though he made prior contributions in 2016 and 2017.

He also donated $20 million in 2018 to help fund The Markup, which describes itself as a “nonprofit newsroom that investigates how powerful institutions are using technology to change our society.” That project quickly became controversial after founding Editor-in-Chief Julia Angwin said she’d been fired over email by co-founder and Executive Director Sue Gardner.

Still, Newmark says both the CUNY journalism school and The Markup have been successful, while other efforts “have not been successful, and I’m being discreet about them because I’m still trying to help before I have much sterner talks.”

He pegs his philanthropy success rate at “70% or 80%, which is good, but it’s not 100.”

In terms of where he spends his time online, Newmark said he still posts on X, primarily to promote and highlight the work of teachers. However, he said the site is losing its effectiveness as it leans toward showing people algorithmically recommended posts.

Thilina Kaluthotage | Nurphoto | Getty Images

“As a social network, Twitter does seem to be gone,” Newmark said, adding that he’s trying out rivals like Bluesky, Mastodon and Meta’s Threads.

In particular, Newmark said he likes “like the spirit of Mastodon and Bluesky,” which he likened to the early days of the internet when it took a long time for websites to build devoted audiences.

“The audience development is very slow,” Newmark said. “Twitter and everything else grew slowly and the other sites are growing slowly, and yet we are impatient and we want to see network effects now.”

Cybersecurity is another area of focus for Newmark. He pointed to a recent $100 million commitment announced in March to a collection of organizations working on cyber-related issues, like combating the spread of ransomware and creating methods for tech and security companies to share threat information.

He said the total number will probably exceed $100 million, because he’s already “broken through $80 million.”

In June, Newmark’s philanthropy arm also pledged to donate $100 million to multiple organizations supporting veterans and military members, who “sometimes have to choose between decent housing or feeding their families,” Newmark said. He called the treatment of that community “a national security matter.”

“There’s nothing virtuous in that,” Newmark said about his donations, noting that he doesn’t spend his money on “yachts or fast cars.”

“It’s more satisfying to give it away,” Newmark said. “Again, that’s not pious or altruistic. It’s just what I was taught in Sunday school.”

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Workday shares sink on subscription revenue guidance concerns

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Workday shares sink on subscription revenue guidance concerns

The Workday Inc. pop-up pavilion ahead of the World Economic Forum (WEF) in Davos, Switzerland, on Saturday, Jan. 19, 2025.

Hollie Adams | Bloomberg | Getty Images

Shares of software maker Workday dropped as much as 10% on Wednesday as analysts lowered their price targets, citing a lack of a upside after the company revised its full-year subscription revenue forecast.

Many software stocks have been under pressure in 2025 as commentators have worried that generative artificial intelligence tools that can quickly write lines of code might pose risks to incumbents.

This year, Workday has announced the launch of several AI agents and expanded its offerings through startup acquisitions. Earlier this month, Workday completed the $1.1 billion purchase of AI and learning software company Sana.

Despite those moves, Workday’s third-quarter earnings report on Tuesday failed to impress Wall Street.

The company called for $8.83 billion in subscription revenue for the fiscal year that will end in January 2026, implying 14.4% growth, but the figure was up just $13 million from the company’s guidance in August. The new number includes contributions from Sana and a contract with the U.S. Defense Intelligence Agency, Workday finance chief Zane Rowe told analysts on a conference call.

“Investors were likely looking for more of a beat-and-raise quarter,” Cantor Fitzgerald analysts Matt VanVliet and Mason Marion wrote in a note to clients. They have the equivalent of a buy rating on Workday stock. The new number, they wrote, “borders on a slight guide down.” The analysts held their 12-month price target on Workday stock at $280.

Stifel, with a hold rating on the stock, lowered its Workday target to $235 from $255.

“It does not appear that the underlying momentum of the business is showing any signs of stabilization,” Stifel’s Brad Reback and Robert Galvin wrote in a note.

Reback and Galvin said Workday implied that growth from its 12-month subscription revenue backlog will continue to slow when removing impact from acquisitions. They expect the trend to continue even as customers sign up for Workday’s AI products, they wrote.

The outcome was “like turkey without the gravy,” Evercore analysts, with the equivalent of a buy rating on the stock, wrote in the title of their note.

Analysts at RBC, which also has the equivalent of a buy rating on Workday shares, lowered their price target to $320 from $340. Despite the mixed guidance, they wrote in a note to clients, results for the fiscal third quarter did exceed consensus. Plus, AI products contributed over 1.5 percentage points of annualized revenue growth, Workday CEO Carl Eschenbach said on Tuesday’s conference call.

‘”We remain encouraged by early AI momentum,” the RBC analysts wrote.

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MIT study finds AI can already replace 11.7% of U.S. workforce

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MIT study finds AI can already replace 11.7% of U.S. workforce

AI can already replace 11.7% of the U.S. workforce, MIT study finds

Massachusetts Institute of Technology on Wednesday released a study that found that artificial intelligence can already replace 11.7% of the U.S. labor market, or as much as $1.2 trillion in wages across finance, health care and professional services.

The study was conducted using a labor simulation tool called the Iceberg Index, which was created by MIT and Oak Ridge National Laboratory. The index simulates how 151 million U.S. workers interact across the country and how they are affected by AI and corresponding policy.

The Iceberg Index, which was announced earlier this year, offers a forward-looking view of how AI may reshape the labor market, not just in coastal tech hubs but across every state in the country. For lawmakers preparing billion-dollar reskilling and training investments, the index offers a detailed map of where disruption is forming down to the zip code.

“Basically, we are creating a digital twin for the U.S. labor market,” said Prasanna Balaprakash, ORNL director and co-leader of the research. ORNL is a Department of Energy research center in eastern Tennessee, home to the Frontier supercomputer, which powers many large-scale modeling efforts.

The index runs population-level experiments, revealing how AI reshapes tasks, skills and labor flows long before those changes show up in the real economy, Balaprakash said.

The index treats the 151 million workers as individual agents, each tagged with skills, tasks, occupation and location. It maps more than 32,000 skills across 923 occupations in 3,000 counties, then measures where current AI systems can already perform those skills.

What the researchers found is that the visible tip of the iceberg — the layoffs and role shifts in tech, computing and information technology — represents just 2.2% of total wage exposure, or about $211 billion. Beneath the surface lies the total exposure, the $1.2 trillion in wages, and that includes routine functions in human resources, logistics, finance, and office administration. Those are areas sometimes overlooked in automation forecasts.

The index is not a prediction engine about exactly when or where jobs will be lost, the researchers said. Instead, it’s meant to give a skills-centered snapshot of what today’s AI systems can already do, and give policymakers a structured way to explore what-if scenarios before they commit real money and legislation.

The researchers partnered with state governments to run proactive simulations. Tennessee, North Carolina and Utah helped validate the model using their own labor data and have begun building policy scenarios using the platform.

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Tennessee moved first, citing the Iceberg Index in its official AI Workforce Action Plan released this month. Utah state leaders are preparing to release a similar report based on Iceberg’s modeling.

North Carolina state Sen. DeAndrea Salvador, who has worked closely with MIT on the project, said what drew her to the research is how it surfaces effects that traditional tools miss. She added that one of the most useful features is the ability to drill down to local detail.

“One of the things that you can go down to is county-specific data to essentially say, within a certain census block, here are the skills that is currently happening now and then matching those skills with what are the likelihood of them being automated or augmented, and what could that mean in terms of the shifts in the state’s GDP in that area, but also in employment,” she said.

Salvador said that kind of simulation work is especially valuable as states stand up overlapping AI task forces and working groups.

The Iceberg Index also challenges a common assumption about AI risk — that it will stay confined to tech roles in coastal hubs. The index’s simulations show exposed occupations spread across all 50 states, including inland and rural regions that are often left out of the AI conversation.

To address that gap, the Iceberg team has built an interactive simulation environment that allows states to experiment with different policy levers — from shifting workforce dollars and tweaking training programs to exploring how changes in technology adoption might affect local employment and gross domestic product.

“Project Iceberg enables policymakers and business leaders to identify exposure hotspots, prioritize training and infrastructure investments, and test interventions before committing billions to implementation,” the report says.

Balaprakash, who also serves on the Tennessee Artificial Intelligence Advisory Council, shared state-specific findings with the governor’s team and the state’s AI director. He said many of Tennessee’s core sectors — health care, nuclear energy, manufacturing and transportation — still depend heavily on physical work, which offers some insulation from purely digital automation. The question, he said, is how to use new technologies such as robotics and AI assistants to strengthen those industries rather than hollow them out.

For now, the team is positioning Iceberg not as a finished product but as a sandbox that states can use to prepare for AI’s impact on their workforces.

“It is really aimed towards getting in and starting to try out different scenarios,” Salvador said.

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