Tools & Platforms
Trump’s ‘woke’ AI executive order encourages tech to censor their chatbots
Tech companies looking to sell their artificial intelligence technology to the federal government must now contend with a new regulatory hurdle: proving their chatbots aren’t “woke.”
President Donald Trump’s sweeping new plan to counter China in achieving “global dominance” in AI promises to cut regulations and cement American values into the AI tools increasingly used at work and home.
But one of Trump’s three AI executive orders signed Wednesday — the one “preventing woke AI in the federal government” — marks the first time the U.S. government has explicitly tried to shape the ideological behavior of AI.
Several leading providers of the AI language models targeted by the order — products like Google’s Gemini and Microsoft’s Copilot — have so far been silent on Trump’s anti-woke directive, which still faces a study period before it gets into official procurement rules.
While the tech industry has largely welcomed Trump’s broader AI plans, the anti-woke order forces the industry to leap into a culture war battle — or try their best to quietly avoid it.
“It will have massive influence in the industry right now,” especially as tech companies are already capitulating to other Trump administration directives, said civil rights advocate Alejandra Montoya-Boyer, senior director of The Leadership Conference’s Center for Civil Rights and Technology.
The move also pushes the tech industry to abandon years of work to combat the pervasive forms of racial and gender bias that studies and real-world examples have shown to be baked into AI systems.
“First off, there’s no such thing as woke AI,” Montoya-Boyer said. “There’s AI technology that discriminates and then there’s AI technology that actually works for all people.”
Molding the behaviors of AI large language models is challenging because of the way they’re built and the inherent randomness of what they produce. They’ve been trained on most of what’s on the internet, reflecting the biases of all the people who’ve posted commentary, edited a Wikipedia entry or shared images online.
“This will be extremely difficult for tech companies to comply with,” said former Biden administration official Jim Secreto, who was deputy chief of staff to U.S. Secretary of Commerce Gina Raimondo, an architect of many of President Joe Biden’s AI industry initiatives. “Large language models reflect the data they’re trained on, including all the contradictions and biases in human language.”
Tech workers also have a say in how they’re designed, from the global workforce of annotators who check their responses to the Silicon Valley engineers who craft the instructions for how they interact with people.
Trump’s order targets those “top-down” efforts at tech companies to incorporate what it calls the “destructive” ideology of diversity, equity and inclusion into AI models, including “concepts like critical race theory, transgenderism, unconscious bias, intersectionality, and systemic racism.”
The directive has invited comparison to China’s heavier-handed efforts to ensure that generative AI tools reflect the core values of the ruling Communist Party. Secreto said the order resembles China’s playbook in “using the power of the state to stamp out what it sees as disfavored viewpoints.”
The method is different, with China relying on direct regulation by auditing AI models, approving them before they are deployed and requiring them to filter out banned content such as the bloody Tiananmen Square crackdown on pro-democracy protests in 1989.
Trump’s order doesn’t call for any such filters, relying on tech companies to instead show that their technology is ideologically neutral by disclosing some of the internal policies that guide the chatbots.
“The Trump administration is taking a softer but still coercive route by using federal contracts as leverage,” Secreto said. “That creates strong pressure for companies to self-censor in order to stay in the government’s good graces and keep the money flowing.”
The order’s call for “truth-seeking” AI echoes the language of the president’s one-time ally and adviser Elon Musk, who has made it the mission of the Grok chatbot made by his company xAI.
But whether Grok or its rivals will be favored under the new policy remains to be seen.
Despite a “rhetorically pointed” introduction laying out the Trump administration’s problems with DEI, the actual language of the order’s directives shouldn’t be hard for tech companies to comply with, said Neil Chilson, a Republican former chief technologist for the Federal Trade Commission.
“It doesn’t even prohibit an ideological agenda,” just that any intentional methods to guide the model be disclosed, said Chilson, head of AI policy at the nonprofit Abundance Institute. “Which is pretty light touch, frankly.”
Chilson disputes comparisons to China’s cruder modes of AI censorship.
“There is nothing in this order that says that companies have to produce or cannot produce certain types of output,” he said. “It says developers shall not intentionally encode partisan or ideological judgments.”
With their AI tools already widely used in the federal government, tech companies have reacted cautiously. OpenAI on Thursday said it is awaiting more detailed guidance but believes its work to make ChatGPT objective already makes the technology consistent with Trump’s directive.
Microsoft, a major supplier of online services to the government, declined to comment.
Musk’s xAI, through spokesperson Katie Miller, a former Trump official, pointed to a company comment praising Trump’s AI announcements but didn’t address the procurement order. xAI recently announced it was awarded a U.S. defense contract for up to $200 million, just days after Grok publicly posted a barrage of antisemitic commentary that praised Adolf Hitler.
Anthropic, Google, Meta, and Palantir didn’t respond to emailed requests for comment Thursday.
The ideas behind the order have bubbled up for more than a year on the podcasts and social media feeds of Trump’s top AI adviser David Sacks and other influential Silicon Valley venture capitalists, many of whom endorsed Trump’s presidential campaign last year. Their ire centered on Google’s February 2024 release of an AI image-generating tool that produced historically inaccurate images before the tech giant took down and fixed the product.
Google later explained that the errors — including generating portraits of Black, Asian and Native American men when asked to show American Founding Fathers — were the result of an overcompensation for technology that, left to its own devices, was prone to favoring lighter-skinned people because of pervasive bias in the systems.
Trump allies alleged that Google engineers were hard-coding their own social agenda into the product.
“It’s 100% intentional,” said prominent venture capitalist and Trump adviser Marc Andreessen on a podcast in December. “That’s how you get Black George Washington at Google. There’s override in the system that basically says, literally, ‘Everybody has to be Black.’ Boom. There’s squads, large sets of people, at these companies who determine these policies and write them down and encode them into these systems.”
Sacks credited a conservative strategist who has fought DEI initiatives at colleges and workplaces for helping to draft the order.
“When they asked me how to define ‘woke,’ I said there’s only one person to call: Chris Rufo. And now it’s law: the federal government will not be buying WokeAI,” Sacks wrote on X.
Rufo responded that he helped “identify DEI ideologies within the operating constitutions of these systems.”
But some who agreed that Biden went too far promoting DEI also worry that Trump’s new order sets a bad precedent for future government efforts to shape AI’s politics.
“The whole idea of achieving ideological neutrality with AI models is really just unworkable,” said Ryan Hauser of the Mercatus Center, a free-market think tank. “And what do we get? We get these frontier labs just changing their speech to meet the political requirements of the moment.”
Tools & Platforms
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SoftBank Group has been among the top performers on Tokyo’s Prime market this year, surging on the back of a US tech rally powered by an artificial intelligence boom.
The conglomerate’s increasing AI investments have fueled hopes for lucrative returns, but some investors are still mulling whether it’s worth the bet.
Shares in SoftBank are up more than half this year, gaining steam over the last few months and outperforming the benchmark Nikkei Stock Average’s 8.5% gain. SoftBank touched an all-time closing high of JPY 16,705 (USD 113) on Aug. 18, helping push the Nikkei average to a record high last month, before tumbling to the 14,000 level.
Tomoichiro Kubota, a senior market analyst at Matsui Securities in Tokyo, said the stock’s more recent weakness reflected concerns among retail investors that its rally was due for a pause.
“SoftBank’s share price doubled in a short period of time as expectations and hopes for its future growth climbed very quickly,” he said. “Long-term institutional investors operate differently, but for Japanese retail investors, it was an opportunity to short-sell the stock amid the rapid rise.”
The stock had been buoyed by a string of announcements and news headlines.
Just days after the Japanese giant revealed that it would invest USD 2 billion in Intel and acquire a stake of around 2%, President Donald Trump said the US government will take a roughly 10% stake in the chipmaker in exchange for outstanding federal grants.
“Semiconductors are the foundation of every industry,” Masayoshi Son, the chairman and CEO of SoftBank, said in a statement on August 26. The “strategic investment” in Intel “reflects our belief that advanced semiconductor manufacturing and supply will further expand in the US, with Intel playing a critical role.”
Intel is just one of SoftBank’s many bets on AI and semiconductors, as the company has accelerated investments in such advanced technologies.
UK-based chip designer Arm, which SoftBank bought in 2016 for USD 31 billion, is reportedly considering developing AI chips under its own brand. In the past year or so, SoftBank has acquired AI chipmaker Graphcore and US chip designer startup Ampere Computing. The Japanese company has increased its stake in Nvidia, as well as the world’s top chip foundry, Taiwan Semiconductor Manufacturing Company (TSMC).
In March, ChatGPT creator OpenAI announced that it secured fresh funding of USD 40 billion from investors, including USD 30 billion from SoftBank. OpenAI is reportedly preparing to sell around USD 6 billion in stock to investors, including SoftBank, as part of a secondary sale that would value the company at roughly USD 500 billion.
“These investments are further emphasis of a longer-term theme, in our view, involving SoftBank Group focusing on AI ecosystem plays, as opposed to technology more broadly, or other verticals like consumer, as we have seen in the past,” said Paul Golding, a senior digital infrastructure and payments analyst at Macquarie in New York.
Golding added that SoftBank has been using its non-AI investments “as funding sources for reinvestment into what we would consider to be more pure play AI investments.”
SoftBank’s Son has taken a key role in Trump’s AI push. Trump said in January that OpenAI, Oracle, and SoftBank pledged USD 500 billion to the Stargate project to build data centers across the US.
“The perception of SoftBank has changed significantly. Investors now see SoftBank as an AI company rather than an investment company,” said Takashi Nakagawa, senior analyst at Tokai Tokyo Intelligence Laboratory.
At the company’s annual general meeting in June, Son told shareholders that in ten years, his company aims to become the world’s leading platform provider for artificial superintelligence (ASI), leveraging the strengths of Arm and OpenAI.
The tycoon said that just like Google, Apple, Microsoft, Amazon, and Meta have defined the digital age, he wishes for SoftBank to become the foundational company in ASI.
Earlier this month, the company reported a JPY 421.8 billion (USD 2.9 billion) net profit for the three months ended in June, posting its first profit for that quarter in four years, as valuations in its Vision Funds’ portfolio improved. Gains in shares of South Korean online retailer Coupang and ride-hailing firm Grab helped the tech investment arm, as did a rise in Nvidia’s stock price.
SoftBank’s net asset value (asset value minus liabilities), which shows how well the company is doing with its investments, jumped 26% to JPY 32.4 trillion (USD 222.8 billion) as of June from three months before. The increase was largely due to a rise in the market capitalization of Arm, which accounts for half of the value of the stocks it holds.
Oliver Matthew, head of Asia consumer research at CLSA, said, “I think SoftBank has consistently shown that they get the paradigm shifts in technology correct, and they make big investments in those shifts.”
Matthew said SoftBank has been “extremely successful” with its bets on Arm and the US carrier Sprint, both of which initially received a “quite negative” response from investors. “But they turned out to be brilliant investments over the longer-term horizon.”
Along with expectations for SoftBank’s future growth, also at play are investors eager to gain access to OpenAI.
OpenAI is a private company that was founded in 2015 as a nonprofit, open-source model. But it has a for-profit division and scrapped plans to convert entirely into a for-profit business.
“When I talk to investors, [SoftBank’s] rally seems to be driven by a belief that, for institutional investors who cannot directly invest in OpenAI, one way for them to invest is through buying SoftBank’s public equity stock,” said Atul Goyal, equity analyst at Jefferies in Singapore who has been covering Asia’s tech, media, and telecommunication sectors for around two decades.
Goyal said that whether investments in OpenAI will pay off depends on whether the company can convert itself into a for-profit business. SoftBank has said it could reduce the size of its funding to OpenAI if it fails in its transition this year.
Some analysts have flagged concerns and potential risks for the Japanese tech giant stemming from its increasing exposure to AI.
A recent report by the Massachusetts Institute of Technology revealed a cold truth for companies betting on AI. While US businesses have invested between USD 35 billion to USD 40 billion in generative AI, it said that a whopping 95% of businesses are “getting zero return” on their investments.
Based on the valuations OpenAI has been given by investors, the startup “is an extremely valuable business now,” said Dan Baker, senior equity analyst at Morningstar in Australia. “But no one’s really sure about how exactly they’re going to make money.”
SoftBank’s involvement in cutting-edge technologies and advanced businesses comes with “more risks on the equity value,” Baker said. Such investments may not bear fruit for some time, he said. “I guess that’s what Son has done in the past. He’s taken those sorts of risks.”
This article first appeared on Nikkei Asia. It has been republished here as part of 36Kr’s ongoing partnership with Nikkei.
In the relentless race to power the next generation of artificial intelligence and cloud infrastructure, Credo Technology Group Holding Ltd (NASDAQ: CRDO) has emerged as a standout performer. The company’s Q1 2026 earnings report, released on September 3, 2025, delivered a resounding validation of its strategic bets. Revenue surged to $223.1 million, a 274% year-over-year increase and 31% sequential growth, far outpacing the analyst consensus of $194.6 million [1]. Non-GAAP earnings per share (EPS) of $0.52 exceeded expectations by 40.5% [1]. This performance underscores Credo’s ability to capitalize on the insatiable demand for high-speed, power-efficient connectivity solutions in an AI-driven world.
Strategic Partnerships and Product Innovation: The Twin Engines of Growth
Credo’s success is rooted in its deep integration with hyperscalers and its focus on solving the most pressing challenges in AI infrastructure. CEO Bill Brennan emphasized the company’s role in addressing “the growing demand for reliable and power-efficient connectivity solutions” [1]. This is no abstract promise: Credo’s Lark 800G digital signal processors (DSPs) are already enabling full retimed 800G transceivers for AI data centers, while its PCIe 6/7 and CXL retimers offer a 50% reduction in power consumption compared to traditional optical solutions [2]. These innovations align perfectly with the industry’s shift toward ultra-low-power, high-density architectures required for large-scale AI deployments.
The company’s system-level approach further differentiates it. By integrating SerDes IP, retimer ICs, and the PILOT software platform, Credo accelerates time-to-market for customers while ensuring end-to-end reliability [3]. This holistic strategy has already yielded design wins with hyperscalers, with initial deployments of its 800G transceiver DSPs in fiscal 2026 [2]. Such partnerships are critical in an industry where time-to-market and energy efficiency are paramount.
Market Tailwinds and Competitive Positioning
Credo is not alone in the AI infrastructure boom, but its positioning is unique. The 800G transceiver market, a key growth driver, is projected to expand from $1.2 billion in 2024 to $6.5 billion by 2033, with a compound annual growth rate (CAGR) of 22.8% [2]. Credo’s AECs (Active Electrical Cables) and optical DSPs are well-positioned to capture this growth, offering a compelling alternative to traditional optical solutions with their compact form factor and energy efficiency [4].
Competitors like Marvell (MRVL) and Broadcom (AVGO) are also making strides. Marvell’s 400G-per-lane PAM technology and Broadcom’s AI semiconductor solutions highlight the intensity of competition. However, Credo’s focus on power efficiency and its proprietary PILOT platform give it a distinct edge. For instance, Credo’s Lark 850 optical DSP consumes under 10W of power, a critical advantage in data centers where energy costs are a major concern [4]. Analysts at Bank of America note that Credo’s gross margin of 64.77% in fiscal 2025—driven by its high-margin AEC and DSP products—further strengthens its competitive position [3].
Risks and Valuation Considerations
Despite its momentum, Credo faces challenges. Its reliance on a limited customer base and high valuation multiples—currently a forward Price/Sales ratio of 26.02, significantly above the sector average—pose risks [3]. Energy grid constraints and macroeconomic headwinds could also dampen demand for AI infrastructure. However, the company’s aggressive R&D spending ($146 million in fiscal 2025) and its forward-looking roadmap, including 3nm 200G-per-lane optical DSPs, suggest a commitment to sustaining its innovation edge [3].
Conclusion: A High-Stakes Bet on the Future of Connectivity
Credo Technology Group’s Q1 2026 results and strategic initiatives position it as a key player in the AI infrastructure revolution. With a 126% year-over-year revenue surge in fiscal 2025 and a projected $800 million in revenue for fiscal 2026 [3], the company is not just riding the wave—it is helping to define it. For investors, the question is whether Credo can maintain its execution pace amid fierce competition and macroeconomic uncertainties. If it can, the rewards could be substantial.
Source:
[1] Credo Technology Group Holding Ltd (NASDAQ:CRDO) Crushes Q1 2026 Earnings Estimates with 274% Revenue Surge [https://www.chartmill.com/news/CRDO/Chartmill-33955-Credo-Technology-Group-Holding-Ltd-NASDAQCRDO-Crushes-Q1-2026-Earnings-Estimates-with-274-Revenue-Surge]
[2] Credo Technology: The Connectivity Catalyst for AI’s Next Phase [https://www.ainvest.com/news/credo-technology-connectivity-catalyst-ai-phase-2506/]
[3] Credo Technology Group 2025 10-K Filing Analysis [https://mlq.ai/news/credo-technology-group-2025-10-k-filing-analysis-1/]
[4] Credo Technology and the AI Infrastructure Boom [https://www.ainvest.com/news/credo-technology-ai-infrastructure-boom-strategic-play-data-center-revolution-2508/]
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