GPT-5 Impact on Scientific Research: What's Really Changing
GPT-5 is having a profound impact on the scientific research, from the wet laboratory to the most complex theoretical models. The evolution of GPT-5 Compared to previous models, it opens up new scenarios for scientists, universities and companies that focus on innovation.
Within a few years the’artificial intelligence It has gone from suggesting the "playlist of the day" to supporting, at least in part, the daily work of researchers. With GPT-5, this shift in scale becomes even more evident, bringing AI into the processes of designing experiments, data analysis and scientific writing.
At the heart of this technological leap are two key elements: OpenAI's FrontierScience benchmark, created to evaluate reasoning on original scientific problems, and the “wet lab” tests in which GPT-5 It helps optimize real-world protocols. Alongside the impressive results, however, there are also clear limitations and new security challenges that academia and industry cannot ignore.
GPT-5 and scientific research: the role of FrontierScience
To measure the impact of GPT-5 on scientific research, OpenAI has introduced Frontier Science, a framework designed to evaluate AI reasoning on original problems not present in the training datasets. The goal is to understand how much a model like GPT-5 be able to tackle authentically novel tasks, as a human researcher would.
FrontierScience includes a series of challenges spanning several disciplines: biology, chemistry, physics, mathematics, computer science, and social sciences. Each problem is formulated to require not only theoretical knowledge, but also planning, critical thinking, and generalization skills. In this context, GPT-5 shows notable performance in structured tasks, but still fluctuating results in the presence of open and poorly defined tasks.
According to the first public analyses and technical reports, GPT-5 tends to excel when the problem can be broken down into clear logical steps, while it struggles when creative intuition or a strong understanding of the experimental context is required. This confirms what many researchers in the’artificial intelligence They have been arguing for years: generative models are powerful support tools, but not complete substitutes for the human scientific method.
It is important to remember that OpenAI's work on GPT-5 It is part of a broader panorama of academic and industrial evaluations on the use of AI in science. Numerous international research groups, including centers of excellence and institutes such as the Nature publishing group, are experimenting with AI systems as virtual co-authors, peer review assistants, and hypothesis discovery tools.
GPT-5 in wet lab testing: optimizing experimental protocols
Another crucial front of the impact of GPT-5 on scientific research concerns the so-called tests of wet lab. This term refers to experiments conducted in the laboratory with reagents, cells, and real biological or chemical materials. Here, AI doesn't just generate texts, but contributes to the practical design of experiments.
In tests reported by OpenAI, GPT-5 It has been used to suggest optimizations to existing protocols: choice of temperature conditions, variation of incubation times, reagent dosages, combinations of controls and replicates. In several cases, the model proposed adjustments that led to a measurable improvement in experimental performance, such as increasing the yield of a reaction or reducing the time required to obtain a result.
These experiments show how GPT-5 It can act as a sort of "digital lab assistant" capable of integrating large amounts of scientific literature and previous data. Researchers can interact with the model, asking for suggestions, alternatives, or cross-checks against what they are designing. For complex scenarios such as designing experiments in molecular biology or chemical synthesis, this type of support can reduce repetitive errors and speed up the entire experimental cycle.
At the same time, the use of GPT-5 In the wet lab, AI raises safety and liability issues. If AI suggests protocols involving hazardous materials, sensitive biological agents, or high-risk procedures, who is responsible for any harm? This is why many AI governance experts emphasize the need for clear guidelines, also inspired by the recommendations of international organizations such as the’European Union and the OECD, to safely manage these advanced technologies.
GPT-5: Impressive Results, But Also Limitations and Risks
Looking at the impact of GPT-5 In scientific research, a dual dynamic is evident. On the one hand, impressive results are observed on structured tasks, such as classifying data, generating drafts of scientific articles, and explaining complex concepts at varying levels of detail. On the other hand, significant drops in performance emerge when tasks become open-ended, ambiguous, or poorly defined.
In scenarios like this, GPT-5 It can generate plausible but incorrect content, or combine correct information with invented details (so-called hallucinations). In scientific research, where accuracy, verifiability, and reproducibility are paramount, this represents a significant risk. Researchers must therefore adopt rigorous validation protocols, treating each AI suggestion as a hypothesis to be tested, not as an established truth.
Added to these limitations is the increasingly central theme of safety. Access to powerful templates such as GPT-5 It could, in the absence of controls, facilitate the dissemination of sensitive knowledge, for example in biochemistry or the design of hazardous substances. For this reason, the international discussion is shifting toward controlled access models, log auditing, request traceability, and the integration of multi-level security filters.
In this context, organizations that use GPT-5 For scientific research, they must work closely with legal teams, data protection officers, and ethics committees. Positions such as Legal & Data Protection Specialists, a role held by professionals at healthcare institutions such as the Fondazione IRCCS Casa Sollievo della Sofferenza, become crucial to ensuring regulatory compliance and the protection of sensitive information.
GPT-5 Impact on Scientific Research: New Skills for Researchers and Institutions
The arrival of GPT-5 In scientific research, it's not just a matter of technology, but also of human expertise. Researchers must learn to formulate effective prompts, interpret AI responses, integrate the suggestions into experimental protocols, and transparently document the model's role in the workflow.
Universities and research institutes are called upon to update their training programmes by introducing modules on AI literacy, AI ethics, bias assessment and management of intellectual property generated with the support of models such as GPT-5. This applies to both STEM disciplines and the social sciences and humanities, which are already exploring the use of AI to analyze large text corpora, historical data, surveys, and online content.
Institutions that fund research, from ministries to private foundations, will also have to define clear rules on the use of GPT-5 in the production of articles, projects, and reports. This includes transparency regarding the use of AI, the specification of the versions of the models used, and the requirement to provide independent validation protocols for the results suggested by the system.
GPT-5: Impact on Marketing and Business
The impact of GPT-5 It's not limited to scientific research: its advanced reasoning capabilities directly impact digital marketing and business. Companies can leverage GPT-5 to analyze large volumes of data, identify customer behavior patterns, and generate actionable insights to optimize campaigns and strategies.
In marketing, GPT-5 It allows you to create highly personalized content, segment your audience more accurately, and quickly test variations of promotional messages. Combining these capabilities with automation platforms and direct channels such as WhatsApp Business, brands can offer conversational experiences that are much more relevant to the end user.
From a business perspective, the integration of GPT-5 In internal processes, it reduces time spent on low-value microtasks, such as manually drafting repetitive emails or producing standard reports. This allows teams to focus on strategic activities, such as designing new services, improving customer experience, and expanding into new markets.
A particularly promising area is the combined use of GPT-5 and conversational automation on messaging channels. Through structured workflows, it's possible to guide customers throughout the entire funnel, from acquisition to loyalty, with consistent and contextualized messages. To do this effectively, however, specialized tools are needed that can bring the power of AI to channels like WhatsApp in a secure and scalable manner.
How SendApp Can Help with GPT-5
To make the most of the impact of GPT-5 In scientific research and business, companies need platforms that integrate generative AI into the most effective communication channels. SendApp was born with this very objective, bringing advanced automation to WhatsApp Business and simplifying conversation management.
With SendApp Official, businesses can use the official WhatsApp APIs to connect GPT-5 and other AI models to their communication flows. This allows, for example, a laboratory or university spin-off to quickly inform partners about research results, manage requests for information from colleagues or investors, and automate part of their scientific communication in a structured and traceable way.
For teams handling large volumes of chat, SendApp Agent allows you to distribute conversations between multiple operators, while integrating support for GPT-5 to suggest answers, retrieve technical information, and maintain a consistent tone of communication. This is especially useful for biotech, medtech, or high-tech companies that receive complex inquiries from customers and partners around the world.
In the end, SendApp Cloud offers a scalable environment for creating advanced automation workflows, where GPT-5 It can be used to generate content, classify requests, summarize technical documentation, and power intelligent chatbots on WhatsApp. This allows you to transform scientific research findings into effective, measurable communication processes aligned with marketing and sales objectives.
For organizations wishing to explore these possibilities, the next step is to evaluate an integrated strategy that unites GPT-5, automation, and conversational channels. SendApp offers dedicated consulting on WhatsApp Business, demos, and free trials of the platform, allowing labs, startups, and established companies to safely experience the benefits of generative AI applied to communications with customers, partners, and stakeholders.
