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Amazon Introduces Carbon Credit Sales for Suppliers and Customers

Amazon has launched a carbon credit program, allowing its suppliers, business customers, and other companies to purchase credits to offset their carbon emissions. The move comes amid ongoing debates over the role of carbon credits in corporate decarbonization efforts and concerns about ensuring their environmental integrity.

The retail giant emphasized that it follows industry-leading standards where available and is actively involved in shaping more rigorous verification processes when needed. Amazon has previously invested in projects related to forest conservation, land restoration, and carbon removal, but this marks its first direct venture into selling carbon credits.

Kara Hurst, Amazon’s chief sustainability officer, highlighted the company’s ability to use its scale and high vetting standards to drive further investments in nature-based solutions. Early participants in the initiative include Flickr, real estate advisory firm Seneca, and electronics company Corsair.

The Science-Based Targets initiative (SBTi), a key authority on corporate climate goals, recently stated that carbon credits should be limited to offsetting residual emissions—those that remain after a company has made substantial reductions. However, SBTi stopped short of endorsing broader reliance on carbon credits to meet decarbonization targets.

Amazon’s program requires participating companies to have a net-zero target that includes emissions from their supply chains and to publicly report their greenhouse gas emissions. The initiative comes after the Bezos Earth Fund, founded by Jeff Bezos, discontinued its $18 million grant to SBTi in late 2023.

Amazon Said to Be Developing Reasoning-Centered AI Model, Paving the Way for ‘Hybrid Intelligence’

Amazon is reportedly developing a reasoning-focused artificial intelligence (AI) model, which is expected to be part of the company’s Nova family of AI offerings. Unlike consumer-centric products, this new model will likely be targeted at enterprise users through platforms such as Amazon Bedrock and Azure AI Foundry. This positioning places the model in direct competition with other reasoning-focused AI models on the market, including OpenAI’s o3-mini, Google’s Gemini 2.0 Flash Thinking, and DeepSeek-R1. The reasoning capabilities of these models allow them to address complex, nuanced problems that require more than just basic AI processing.

According to a Business Insider report, Amazon is building this reasoning model in-house from the ground up. Sources familiar with the project claim that the company is focusing on incorporating “hybrid reasoning” into the model. Hybrid reasoning is a feature that combines fast, standard responses with slower, more thoughtful answers that require additional compute power to break down intricate problems. This kind of capability allows for more flexible and sophisticated problem-solving, making it highly desirable for enterprise applications where accuracy and depth of analysis are paramount.

This approach mirrors that of recent advancements in the AI industry, such as Anthropic’s release of the Claude 3.7 Sonnet model, which also incorporated hybrid reasoning. However, Amazon’s main challenge will be keeping the model cost-efficient while maintaining top-tier performance. With the market for reasoning-focused AI models rapidly becoming crowded, Amazon’s goal is to ensure that its model stands out by delivering both speed and depth without breaking the bank. The company is expected to unveil this new AI model in June, with the primary focus on making it accessible and affordable for enterprises.

In addition to cost-effectiveness, Amazon has expressed a desire for the model to rank among the top performers in third-party AI leaderboards. The company reportedly aims for its new reasoning model to be ranked in the top five on platforms like the Chatbot Arena, a crowdsourced leaderboard where users and developers rate AI models based on their real-world performance. This focus on high-ranking performance indicates Amazon’s ambition to position its reasoning AI model as a leader in the competitive AI landscape, ensuring its place as a reliable tool for enterprise-level problem-solving.

Intel’s New CEO Lip-Bu Tan Brings Underdog Strategy to Revitalize Chipmaker

Lip-Bu Tan may not be a household name, but he’s about to become one of the most closely watched figures in technology. As the newly appointed CEO of Intel, Tan steps into a leadership role at a pivotal time for the chipmaker, facing the monumental challenge of revitalizing a company that has long been synonymous with Silicon Valley.

Though largely unknown to the public, Tan brings a wealth of experience and a deep network of industry connections. Intel’s customers, from large tech companies to smaller startups, are all familiar with his work—either through companies he backed as a venture capitalist or businesses he ran in the past.

Tan‘s track record is impressive. He’s rubbed shoulders with top figures in the semiconductor industry like Lisa Su, CEO of Advanced Micro Devices (AMD), and Jensen Huang, CEO of Nvidia. Both companies have surpassed Intel in the AI chip market, and reports indicate they were even approached to invest in Intel, underlining Tan’s status within the tech world.

With Intel’s future under scrutiny, especially from U.S. President Donald Trump, who is eager for the company to succeed, Tan’s leadership will be in the spotlight. Independent analyst Jack Gold believes Tan’s extensive industry knowledge and network give him a significant edge, as long as Intel’s board allows him to implement necessary changes without obstruction.

Shares of Intel surged more than 10% in premarket trading on Thursday, signaling investor optimism about Tan’s appointment.

LEAN OPERATOR AND INDUSTRY INSIDER

At 65, Tan’s career has been shaped by a series of bold moves that helped turn smaller, struggling companies into major players. Born in Malaysia, raised in Singapore, and now a U.S. citizen, Tan’s education in nuclear engineering at MIT and business studies in California set the stage for his future success. In 1987, he founded Walden International, a venture capital firm that made bold investments in startup companies with promising chip designs.

Tan was among the first to recognize that small teams with innovative chip ideas could outpace large incumbents. For example, his investment in Annapurna Labs, a company later acquired by Amazon for $370 million, played a key role in the formation of Amazon’s in-house chip division, which now outpaces Intel’s in some areas. He also invested in Nuvia, which Qualcomm bought for $1.4 billion, marking a major shift in the competition for PC and laptop chips.

Tan’s active role in startups that could either challenge or become acquisition targets for Intel keeps him closely connected to the future of chip technology. Recently, he invested in Celestial AI, a photonics-based AI startup, which also has backing from Intel’s rival, AMD.

TRANSFORMING CADENCE DESIGN SYSTEMS

Tan’s most significant past role was as CEO of Cadence Design Systems, where he took the company from a struggling position to the forefront of chip design. Under Tan’s leadership, Cadence focused on supplying chip design software and partnered closely with Taiwan Semiconductor Manufacturing Co (TSMC), which specializes in chip manufacturing.

During his tenure, Cadence’s stock surged by an astounding 3,200%, with major clients like Apple shifting to in-house chip designs. Cadence’s tools also became integral to chipmakers such as Broadcom, who rely on TSMC for manufacturing chips used by tech giants like Google and Amazon.

Karl Freund, analyst at Cambrian AI Research, praised Tan for successfully aligning Cadence with TSMC, a strategy that paid off handsomely. Freund believes that Tan’s foresight and leadership transformed Cadence into a vital player in the chip design ecosystem.

A PROMISING FUTURE FOR INTEL

As Tan assumes the helm at Intel, he faces a monumental challenge in turning around a company that has struggled to maintain its leadership in the rapidly evolving chip industry. But with his extensive experience and industry relationships, Tan may be well-positioned to tackle the company’s challenges head-on. His underdog approach could prove to be the key to Intel’s revitalization, ushering in a new era for the tech giant.