Alphabet has cut contractual ties with Appen, the artificial intelligence data firm that helped train Google’s chatbot Bard, Google Search results and other AI products.
After a “strategic review process,” Alphabet notified Appen over the weekend of the termination, which will go into effect March 19, according to a filing from Appen. The company said it had “no prior knowledge of Google’s decision to terminate the contract.”
Alphabet accounted for roughly one-third of Appen’s revenue, meaning the decision to end the relationship will impact “at least two thousand subcontracted Alphabet workers,” according to a statement Monday from the Alphabet Workers Union.
Appen, based in Australia, has helped train AI models for a star-studded list of tech behemoths. Five customers — Microsoft, Apple, Meta, Google and Amazon — have in the past accounted for 80% of Appen’s revenue. Appen has a platform of about 1 million freelance workers in more than 170 countries.
In 2023, revenue from work with Alphabet totaled $82.8 million of Appen’s $273 million in sales for the year, according to Monday’s filing.
Despite Appen’s enviable client list and its nearly 30-year history, the company has struggled in recent years with a loss of customers, a string of executive departures and plummeting financials — even as generative AI tools increased demand for training data. Revenue dropped 30% in 2023, after declining 13% a year earlier, which the company attributed in part to “challenging external operating and macro conditions.”
In August 2020, Appen’s shares peaked at AU$42.44 ($27.08) on the Australian Securities Exchange, sending its market cap to the equivalent of $4.3 billion. Now, the stock is trading at around AU$0.28, down more than 99% since its peak.
Former employees, who asked not to be named for fear of retaliation, told CNBC in September that the company’s current struggle to pivot to generative AI reflects years of weak quality controls and a disjointed organizational structure.
Appen’s past work for tech companies has been on projects like evaluating the relevance of search results, helping AI assistants understand requests in different accents, categorizing e-commerce images using AI, and building out map locations of electric vehicle charging stations, according to public information and interviews conducted by CNBC.
Appen has also touted its work on search relevance for Adobe and on translation services for Microsoft, as well as in providing training data for lidar companies, security applications and automotive manufacturers.
But large language models of today operate differently. The underlying LLMs behind OpenAI’s ChatGPT and Google’s Bard are scouring the digital universe to provide sophisticated answers and advanced images in response to simple text queries. Companies are spending far more on processors from Nvidia and less on Appen.
Google and Appen have had conflicts in the past, namely a dispute about wages. In 2019, Google said its contractors would need to pay their workers $15 an hour. Appen didn’t meet that requirement, according to public letters written by some workers.
In January 2023, after months of organizing, raises went into effect for Appen freelancers working on the Bard chatbot and other Google products. The rates went up to between $14 and $14.50 per hour.
But labor issues persisted. In June, Appen faced charges from the U.S. National Labor Relations Board after allegedly firing six freelancers who spoke out publicly about frustrations with workplace conditions. The workers were later reinstated.
Appen wrote in Monday’s filing that it will focus on managing costs, turning the business around and providing customers with quality AI data.
“Appen will immediately adjust its strategic priorities following the notification of the Google contract termination and provide further details in its FY23 full year results on 27 February 2024,” the company wrote.
In this photo illustration, logo of Tesla is displayed on a mobile phone screen in front of the Indian flag in Ankara, Turkiye on November 28, 2023.
Cem Genco | Anadolu | Getty Images
Tesla has made its long-awaited debut in India, where it will sell its electric SUV, the Model Y, starting at $69,770, a significant markup from other major markets, its website showed Tuesday.
The sales launch comes the same day the American electric vehicle maker opened a showroom in Mumbai, its first in the country.
Isabel Fan, Southeast Asia Director at Tesla, also announced that the company would soon launch a showroom in the Indian capital of New Delhi, according to a report from CNBC-TV18.
The report added that Tesla would hire staff locally and set up experience centers, service centers, delivery systems, charging stations and logistics hubs throughout the country.
There has long been speculation about when Tesla would enter India, the third-largest automotive market in the world by sales. However, the high price tag may come as a surprise to many. For example, the Model Y starts from $44,990 in the U.S.
Why are prices so high?
Vaibhav Taneja, Tesla’s Chief Financial Officer, in April, confirmed the company’s interest in India but said it would take a careful approach to the market considering its 70% tariff on EV imports and about 30% luxury tax.
These high taxes explain why Tesla was forced to set its prices so high in India, despite the country’s preference for EVs at much lower price ranges.
Experts told CNBC that this will see Tesla in India compete in the premium segment of the market with the likes of BMW, rather than with local EV companies like Tata Motors.
“I won’t say that these prices are completely out of range because you will find buyers in India for all price points,” Vivek Vaidya, global client leader for mobility at research firm Frost & Sullivan, told CNBC’s “Inside India” on Tuesday.
“The question is whether they are going to threaten the mass market. The answer to that is no because the most popular selling cars probably sell at one-tenth of this price,” he added.
Testing the waters
While the Model Y will struggle to be price competitive, Tesla is likely more focused on “testing the waters” than generating sales in India, Puneet Gupta, Director for the Indian automotive market at S&P Global Mobility, told CNBC.
India first announced a new EV policy last year that promised to reduce duties for companies that commit to building up a local supply chain. While this could help Tesla push its prices down, the company has yet to commit to building any local manufacturing plants in India.
“The Mumbai showroom is a strategic ‘soft power’ move, not a full commitment,” Diwakar Murugan, automotives analyst at Canalys, told CNBC in a statement, adding that Tesla’s hesitation in India is pragmatic, as the market still lacks the demand to justify a large-scale manufacturing facility.
“Shifting a significant portion of its production to India would require a major re-evaluation of its global manufacturing strategy, something it’s not ready to do while its primary focus remains on scaling production in its established markets,” he said.
Murugan predicted that Tesla may only commit to full-scale Indian manufacturing between 2028 and 2030, with incentives like land subsidies and tax holidays, as well as the maturity of the local battery market expected to be important factors.
In the meantime, the Model Y will be a “niche, limited-volume product for wealthy, tech-savvy early adopters who seek a status symbol,” he added.
S&P’s Gupta noted that India’s tariffs on EV exports could also soon change as a result of ongoing trade negotiations between Washington and New Delhi, as well as further tweaks to its EV policy.
“The Indian government has been very proactive in terms of pushing green, cleaner, electric cars, and I think that Tesla has a clear advantage due to the India-U.S. relationship,” Gupta said.
Nvidia CEO Jensen Huang attends a roundtable discussion at the Viva Technology conference dedicated to innovation and startups at Porte de Versailles exhibition center in Paris on June 11, 2025.
Sarah Meyssonnier | Reuters
Nvidia announced Tuesday that it hopes to resume sales of its H20 general processing units to clients in China, saying that the U.S. government had assured the company would be granted licenses.
Nvidia’s sales of the H20 chips, which had been designed specifically to keep them out of export controls on China, were halted in April.
“The U.S. government has assured NVIDIA that licenses will be granted, and NVIDIA hopes to start deliveries soon,” the company said in a statement.
This comes against the backdrop of a preliminary trade deal between Washington and Beijing last month that sought China to resume rare earth exports and the U.S. to relax tech export controls.
Nvidia CEO Jensen Huang in recent months has ramped up his lobbying against export controls, arguing that they inhibited American tech leadership. In May, Huang said chip restrictions had already cut Nvidia’s China market share nearly in half.
Huang also announced a new “fully compliant” GPU, NVIDIA RTX PRO, saying it was ideal for smart factories and logistics.
The potential change in U.S. stance follows a meeting between Huang and U.S. President Donald Trump last week.
In his meeting with Trump and U.S. policymakers, Huang had reaffirmed Nvidia’s support for the administration’s job creation and onshoring efforts, as well as the aim for America to lead in global AI, the company said.
Meanwhile, in Beijing, it was confirmed that Huang has met with government and industry officials to discuss the benefits of AI and ways for researchers to advance safe and secure AI for the benefit of all.
In this photo illustration, a man seen holding a smartphone with the logo of US artificial intelligence company Cognition AI Inc. in front of website.
Timon Schneider | SOPA Images | Sipa USA | AP
Artificial intelligence startup Cognition announced it’s acquiring Windsurf, the AI coding company that lost its CEO and several other senior employees to Google just days earlier.
Cognition said on Monday that it will purchase Windsurf’s intellectual property, product, trademark, brand and talent, but didn’t disclose terms of the deal. It’s the latest development in an AI talent war, as companies like Meta, Google and OpenAI fiercely compete for top engineers and researchers.
OpenAI had been in talks to acquire Windsurf for about $3 billion in April, but the deal fell apart, and Google said on Friday that it hired Windsurf’s co-founder and CEO Varun Mohan. Google is paying $2.4 billion in licensing fees and for compensation, as CNBC previously reported.
“Every new employee of Cognition will be treated the same way as existing employees: with transparency, fairness, and deep respect for their abilities and value,” Cognition CEO Scott Wu wrote in a memo to employees on Monday. “After today, our efforts will be as a united and aligned team. There’s only one boat and we’re all in it together.”
Cognition didn’t immediately respond to CNBC’s request for comment. Windsurf directed CNBC to Cognition.
Cognition is best known for its AI coding agent named Devin, which is designed to help engineers build software faster. As of March, the startup had raised hundreds of millions of dollars at a valuation of close to $4 billion, according to a report from Bloomberg.
Both companies are backed by Peter Thiel’s Founders Fund. Other investors in Windsurf include Greenoaks, Kleiner Perkins and General Catalyst.
“I’m overwhelmed with excitement and optimism, but most of all, gratitude,” Jeff Wang, the interim CEO of Windsurf, wrote in a post on X on Monday. “Trying times reveal character, and I couldn’t be prouder of how every single person at Windsurf showed up these last three days for each other and for our users.”
Wu said that the acquisition ensures all Windsurf employees are “treated with respect and well taken care of in this transaction.” All employees will participate financially in the deal, have vesting cliffs waived for their work to date and receive fully accelerated vesting for their, according to the memo.
“There’s never been a more exciting time to build,” Wu wrote.