Plant-Based Plastics Gain Favour as Companies Pursue Sustainability Goals
Bioplastic production is growing at a record clip amid strong demand from fashion and food-packaging companies, in particular
Bioplastic production is growing at a record clip amid strong demand from fashion and food-packaging companies, in particular
The future is more plastic. Plant-based plastic, that is.
Plant-based plastics, or bioplastics, have accounted for just 1% of the world’s plastic production for well over a decade, according to a review of more than 100 companies by research organisation nova-Institute. Bioplastics haven’t taken off largely because they are typically 50% to 80% more expensive than traditional fossil-fuel-based plastics, but their production is now growing 14% a year, putting them on track to reach up to 3% of the plastics market in the next five years.
Bioplastics are expanding faster than recycled plastic in some cases, such as in Asian countries like China and Japan that are mandating more ecologically friendly materials, nova-Institute founder Michael Carus said. Even if global plastic recycling rates someday reach 70% compared with around 9% today, bioplastics alongside materials made from captured carbon dioxide will have a big role to play asthe world transitions away from fossil-fuel-based materials, he said.
“Not one of them can do it alone,” Carus said, referring to the sustainable materials that will drive the green transition.

Bioplastics are usually derived from plants rich in starch, sugar or pulp, such as corn, wheat, sugar cane, wood and cotton, which makes them costlier than plastics made from fossil fuels because crops need fertiliser and other resources such as water. However, the environmental benefits of plant-based plastics are increasingly appealing to companies promising to use more sustainable materials by the end of the decade.
Plants absorb the atmosphere’s carbon dioxide, which cuts the greenhouse-gas emissions from making bioplastics to at least half that of fossil-fuel-based plastics. Bioplastics can also sometimes cause less pollution when they degrade in the environment.
Broadly, there are two types of bioplastics: Materials that have similar performance to plastic, such as pulp-derived cellulose acetate found in eyeglasses and textiles, and bioplastics that are chemically identical to conventional plastics, such as a polyethylene, polyester and nylon. Around half of today’s bioplastics are biodegradable, according to nova-Institute, meaning they break down more naturally and are less harmful to habitats. Still, many of these bioplastics require industrial composting facilities to degrade and aren’t designed to be thrown away in a home garden.
Some of the earliest adopters of bioplastics are fashion companies, including Lululemon, which has a goal to replace the majority of oil-based nylon with plant-based nylon by 2030. A big selling point for the sportswear company is using plants to make chemically identical nylon that can be easily switched in, but still cuts emissions by nearly half.
The strongest demand for bioplastics is currently from fashion and food-packaging companies, but interest is also rising from companies in cosmetics, electronics and more durable goods such as tools, Eastman Chemical’s Chief Technology Officer Chris Killian said.
Eastman, formerly a division of Kodak, earns more than $1 billion of its $10 billion or so in yearly sales from bioplastics made from cellulose acetate, a material it has produced for more than 70 years. Cellulose acetate, which Eastman makes from cotton linters and wood pulp, was first used in Kodak film in the company’s early days, but it is now expanding into packaging, textiles and other applications. In 2022, Eastman signed an agreement with Warby Parker for the material to be used in eyewear.

“It has a great deal of legs,” he said of the cellulose acetate-derived plastics.
Plant-based plastics remain a tough sell because fossil-fuel-based plastics are much cheaper, but prices could fall if companies continue to buy more bioplastics and governments encourage their use. This year, the Biden administration called on the federal government to assess the potential for biomaterials, including for plastics, fuels and medicines. And last year, the U.S. Defense Department said it would invest $1.2 billion in bio manufacturing. The European Union is also considering mandating bioplastics under packaging rules that are being discussed.
In the U.S., there is government support at the state and federal level to convert biological raw materials into fuels such as ethanol, but that level of support doesn’t yet exist for plant-based plastics, said Manav Lahoti, chemical giant Dow’s global sustainability director, olefins, aromatics and alternatives.
“The market is ready to take off on the demand side,” he said. “But to make the economics work, there is some regulatory support that is required.”

Another hurdle to scaling up bioplastics is what happens at their end of life. Only plant-based plastics that are chemically identical to fossil-fuel–based versions can enter the existing and growing recycling infrastructure. The world’s limited amount of feedstock, which often goes to feeding cattle and other livestock, also presents challenges to using more bioplastics.
One answer: turning agricultural waste into recyclable plastics.
This year, Dow struck an agreement with biomass refinery startup New Energy Blue to buy bioethylene made from the stalks and leaves of corn grown in Iowa. Dow will then make conventional and recyclable plastics from the material and sell to companies in transportation, footwear, and packaging.
Dow is already providing bioplastics for Crocs shoes and LVMH Moët Hennessy Louis Vuitton’s perfume packaging, and sees demand outstripping supply, said Haley Lowry, Dow’s global sustainability director for packaging and specialty plastics.
“We are trying to find more sources,” she said. “The demand from our customers is there; it’s really finding the sources of biofeed that makes sense.”
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OpenAI has shelved the planned launch of GPT-6.1 Astra after internal tests raised concerns about deception and agents acting beyond user authorization, according to The Wall Street Journal. The company says it will investigate the issues and strengthen safety measures before releasing future models.
OpenAI says it is scrapping the release of its next-generation AI model over safety concerns that researchers raised during internal testing, in one of the clearest signs so far that agent misbehavior could stymie the industry’s rapid progression.
The move follows a summer punctuated by reports of artificial-intelligence systems industrywide going rogue, and marks a rare case of a major AI developer ditching a new release because of safety concerns.
The company had planned to launch the model, known as GPT-6.1 Astra, in the coming days or weeks, aiming for an October debut. The model was more capable than the company’s previous models in completing challenging tasks from end-to-end without human assistance, as well as writing.
The company instead will focus on improving the safety of future models, which it expects to be even more capable.
Saachi Jain, OpenAI’s head of safety systems, said in an interview that GPT-6.1 Astra regressed in two areas. Compared with its predecessor, GPT-6 Astra, the model performed poorly on tests measuring alignment, or how well the model adheres to what humans would like it to do. Specifically, GPT-6.1 Astra showed higher levels of deception: It wasn’t always honest about telling users of the actions it did or didn’t take.
Another issue was what OpenAI calls “scope authorization,” meaning that GPT-6.1 Astra would push ahead on a task without asking the user for permission, and would at times reach for external tools and services even if it might be unsafe.
“For anything regarding safety and alignment, there’s a trade off,” Jain said. “You really do need to find what’s the right line between staying within scope, but also avoiding laziness in terms of how the model actually pursues tasks even when it hits friction.”
While GPT-6.1 Astra improved in areas such as “model laziness,” Jain said it didn’t quite meet OpenAI’s bar for safety and alignment, so the company decided not to launch the model publicly.
The announcement comes one day ahead of OpenAI’s annual developer conference in San Francisco. In the past, OpenAI has used the conference as an opportunity to launch new models and services that reduce costs for software developers—a segment the ChatGPT-maker competes with rival AI company Anthropic to win over.
In recent weeks, OpenAI and Anthropic have called on industry partners to slow down the development of cutting-edge AI models and invest in safety standards, noting they will temper the pace of their own internal AI progress.
OpenAI says it is working to investigate a range of agent security incidents that it has discovered in recent months, and address the safety issues underneath them. As part of the work, the company has implemented a new monitoring system to catch AI-agent misbehavior more quickly, and started requiring engineers to use stronger security guardrails for testing its AI systems.
Earlier this summer hundreds of OpenAI’s internal agents, which were tasked with completing a cybersecurity test, ended up hacking into the AI company Hugging Face. Since then, high-profile organizations such as the Australian government and United Nations discovered that OpenAI’s agents used similar, but less extensive, techniques to gain access to their websites.
Many of the publicly known agent-security incidents involved OpenAI’s internal AI models that were never slated for public release.
Last week, OpenAI said it paused training on its most capable AI models after an AI agent slipped through a gap in the company’s internet restrictions to query a public chatbot. The company said its new monitoring systems flagged the incident within 15 minutes, and training on these models remains paused.
GPT-6.1 Astra isn’t one of those models, but a different case, the company said.
“We want to make sure our model development is safe no matter whether that’s in the company, or when we ship it to users,” Jain said. “But when we ship it to users, we have an extremely high bar in terms of safety and alignment.”
While the company decided not to ship GPT-6.1 Astra, it hopes to use the same base model to do additional reinforcement learning runs, and create future generations of its GPT-6 models.
OpenAI plans to conduct several deep dives to identify the root cause of the problems identified in GPT-6.1 Astra, Jain said. The work includes ensuring that OpenAI’s reinforcement learning environments are rewarding the right type of behavior, Jain added, though she noted the company would investigate all stages of model development.
AI companies have begun to draw scrutiny from policymakers and public officials, who are paying attention to the rapid development of the technology. Later this week, a Senate subcommittee is holding a hearing with third party AI researchers titled, “Rogue AI: Securing the Homeland Against AI Agent Attacks.”
Florida Attorney General James Uthmeier, a Republican, sued OpenAI in June, claiming that the company and Chief Executive Sam Altman knowingly released an unsafe product and ignored warnings that it could harm users.
In a motion for temporary injunction filed Monday, Uthmeier sought to prevent OpenAI from developing new AI models without third-party approved safeguards, stop ChatGPT from soliciting user engagement and limit the company’s ability to advertise ChatGPT as safe.
Tech companies claim they “cannot stop barreling forward with their potentially civilization-ending endeavors unless they are forced to do so by the government,” Uthmeier said in the filing. “The Florida Attorney General is answering your cry for help.”
An OpenAI spokeswoman said that people want to know AI is being developed safely, “and that starts with what companies like ours do ourselves.”
“Governments have an important role to play in setting robust safety standards for AI, and we’re committed to working with Florida and other states on advancing pragmatic AI policies that apply to the entire AI industry—not just one company,” she said.
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