How To Advance Corporate Adoption For Generative AI And ChatGPT

In June 2023, a Forbes article highlighted a significant disparity in the level of trust in AI for different business tasks, emphasizing a reluctance to entrust AI with critical decision-making processes. “Americans aren’t yet willing to allow AI to make decisions or work tasks where the outcome will potentially affect them,” according to the report. Looking ahead at 2025, that sentiment is changing – driven by advancements in generative AI, the integration of AI across diverse industries, and heightened awareness of associated risks. The future for ChatGPT, Gemini and other forms of AI hinges on trust, not just capability. Leaders looking at 2025 want to incorporate AI as a friend, not a foe, to enable greater efficiency, output and growth.

Progress in AI Adoption and Trust

According to Microsoft’s 2024 AI Opportunity study, AI adoption has surged across industries, with 75% of businesses employing AI, up from 55% earlier in 2023. Generative AI, once a nascent technology, is now a cornerstone of innovation. For 2025, this adoption is expected to continue – making some wonder what’s wrong with the 25% of businesses that aren’t on the AI bandwagon. Perhaps some risks remain in the usage of AI? Indeed, despite the enthusiasm of contributors here on Forbes, the lack of guardrails combined with a proliferation of deep fakes is giving some people reasons to pause when it comes to ChatGPT and other LLMs online.

High-Impact Applications for AI in 2025

McKinsey’s 2024 AI survey noted the rapid deployment of AI in supply chain management, marketing, and customer service. These functions have seen tangible benefits, including cost reductions and revenue increases. Human resources departments are also leveraging AI for tasks such as recruitment and performance management, reflecting growing confidence in AI’s capabilities in less critical but labor-intensive functions.

Meanwhile, Forbes says that remote jobs paying $250,000 or more are surging, on the edge of 2025. “The highest competition for high-paying remote jobs that yield $250,000 or more a year is within marketing, HR, operations and management, sales and business development, and project management”, Rachel Wells shares. Notice the significant overlap with AI deployment in these high-paying careers. Is it encroachment, or enhancement, when AI engages with an industry in 2025? The role of AI for these high-paying jobs is perhaps a career concern, or a career boost, depending on your point of view.

Challenges and Barriers to Trust in AI for 2025

Despite recent advancements, trust in AI for high-stakes decision-making remains limited. The World Economic Forum identifies key barriers, including concerns over bias, data security, and explainability (the ability to describe how AI works so that humans can understand it). These risks deter businesses from adopting AI in roles that require nuanced judgment or ethical considerations, such as legal analysis and strategic planning. Decision-making, especially around ethical issues (such as how to deploy and regulate AI, perhaps?) will remain a uniquely human responsibility in 2025. However, assistance from ChatGPT, Mariner, or other LLMs might make these decisions easier.

McKinsey’s findings reveal an increase in perceived risks such as data privacy breaches and intellectual property infringement. These risks, coupled with instances of inaccurate outputs, underscore the need for corporate governance and oversight in deploying AI solutions. For corporate leaders in 2025, establishing policies around AI use and implementation is critical. McKinsey emphasizes the role of risk-awareness training and enterprise-wide oversight committees in ensuring responsible AI use. These measures help mitigate risks while fostering confidence among stakeholders – setting corporate direction for 2025 and beyond.

Interestingly, while earlier studies flagged workforce displacement as a major concern for employees, more recent surveys suggest this fear is diminishing. Looking ahead, organizations are now more focused on equipping employees with the skills needed to work alongside AI. Stanford University points to the way that human intervention is helping improve AI results – a trend that will no doubt continue in 2025.

Pathways to Greater Trust In Working with AI

Companies are increasingly customizing AI solutions to align with their unique business needs. This trend reflects a shift from off-the-shelf AI tools to bespoke systems designed to address specific challenges. For example, Siemens developed an industrial AI copilot tailored to manufacturing, enhancing both efficiency and trust among users, according to reports from Microsoft.

Trust in ChatGPT and Other Forms of AI: 2025 and Beyod

Trust in AI has evolved significantly since mid-2023, with more businesses recognizing its potential to enhance productivity and drive innovation. However, challenges such as inaccuracy, ethical risks, and lack of transparency continue to hinder adoption in critical decision-making roles – and will likely continue into 2025. How do companies address these barriers for AI? Inside a capitalistic and profit-driven context, does that question even matter?

Forward-thinking leaders are focused on the human operating system as well as the potential for ChatGPT and other LLMs. Human/AI collaboration is where innovation, ethical judgement and enhanced performance meet. Designing work, and outputs, so that AI is a source of leverage (not workforce displacement) is key. Through tailored solutions, leadership attention to a new emerging culture, and human-to-human skill development, organizations can further integrate AI into their operations.