Companies in Jakarta have begun using Artificial Intelligence (AI) for a range of business needs, from marketing and customer analysis to decision-making. However, its potential is not always fully realized. According to AWS research in 2026, 40% of businesses in Indonesia have adopted AI, but only 12% of adopting companies have fully integrated it into their operations and business strategy.
This suggests that companies need more than an introduction to AI technology: they also need to understand how to use it effectively. Corporate AI training in Jakarta is therefore a relevant approach to helping employees develop digital skills and apply AI in their day-to-day business activities.
How Many Companies Are Already Using AI?
AI use in Indonesia has increased significantly. More companies are starting to use the technology to support their operations and business development.
According to the Unlocking Indonesia's AI Potential report from Amazon Web Services (AWS), AI adoption among businesses in Indonesia increased from 28% in 2025 to 40% in 2026.
Nevertheless, higher adoption does not necessarily mean companies are maximizing the benefits of the technology.
Many Companies Are Still Experimenting
The 2026 AWS report includes several notable findings about the maturity of AI use in Indonesia:
- 40% of businesses in Indonesia have adopted AI.
- 56% of AI adopters are still in the exploration or experimentation stage.
- Only 12% of AI adopters have fully integrated the technology.
- 24% of AI adopters have a formal AI strategy.
These figures highlight a gap between using AI and making it part of a company's strategy.
For example, employees may already use ChatGPT to create summaries or generate ideas. However, this use may not yet be connected to sales analysis, market research, or business decision-making.
It is worth clarifying that the AWS data describes businesses nationwide, rather than the percentage of companies specifically in Jakarta.
AI Use Among Employees Is Becoming More Common
AI adoption is evident not only at the company level, but also in employees' working habits.
A PwC survey of 812 Indonesian workers, published in February 2026, found that:
- 69% of respondents had used AI at work during the previous year.
- 16% used generative AI every day.
- 96% of daily generative AI users reported productivity benefits, compared with 75% of infrequent users.
These findings indicate a relationship between how frequently employees use AI and the productivity benefits they perceive.
To make its use more focused, companies still need to equip employees with skills that match their job requirements.
How Are Companies Using AI for Business?
AI is not limited to technology companies. Businesses across different sectors are beginning to use it to understand customers, process information, and improve work efficiency.
Several Indonesian companies provide examples of AI applications in business activities.
Erajaya Uses AI for Customer Service
Erajaya Group uses generative AI to support customer service through chatbots and semantic search technology that helps users find more relevant products.
In a Google Cloud case study, the company also connects the development of data integration with its marketing strategy.
This example illustrates how AI can support both the customer experience and business needs.
Vidio Uses AI for Audience Segmentation
Vidio uses machine learning to recommend content and support advertising audience segmentation.
By using customer data, the sales team can help advertisers identify audience segments that match their campaign needs.
Gemini is also used to support internal work, including preparing sales presentations.
Populix Accelerates Market Research
Market research company Populix offers an example of how AI can improve research efficiency.
According to a Google Cloud case study, AI technology helped Populix accelerate its end-to-end research process by more than 50% and reduce quality assurance time by 40%.
These three examples show that AI can be applied to a variety of business needs. However, success at one company does not automatically translate into the same impact at another.
Why Do Companies Still Need AI Training?
Although AI use is growing, implementation still faces several challenges, particularly employee skills, data readiness, and the ability to measure results.
AI Skills Remain a Barrier
According to AWS research in 2026, 56% of surveyed organizations identified a shortage of AI and digital skills as a barrier to adopting or expanding AI use.
The research also found that, among companies that had adopted AI:
- 21% had data governance in place.
- 17% had a responsible AI framework.
- 19% had a clear framework for measuring implementation success.
This means that providing access to AI technology alone is not enough. Employees also need to understand how to produce accurate information, validate analytical outputs, and use data responsibly.
AI Use Does Not Always Translate into Revenue
PwC's 29th CEO Survey, released in March 2026, found that 22% of Indonesian CEOs reported revenue increases from AI over the previous 12 months, while 28% reported cost reductions. A total of 10% reported both benefits.
These findings show that using AI does not necessarily lead directly to revenue growth.
Companies still need an implementation strategy, data readiness, and employees who can translate AI analysis into business action.
Training focused on job requirements is therefore important to help AI use progress beyond simply trying different tools.
AI Opportunities for Sales and Marketing Teams
Sales and marketing is one area where AI applications are particularly relevant.
A Salesforce survey of 150 Indonesian business leaders in November 2024 found that 77% of respondents were already using or experimenting with AI.
Prominent AI applications in the survey included text-based information searches, marketing campaign optimization, and automated customer recommendations.
These findings indicate that AI use is becoming directly connected with marketing activities and customer management.
For sales and marketing teams, AI can help with tasks such as understanding market characteristics, comparing competitors, analyzing sales patterns, and developing customer engagement strategies.
However, AI analysis still needs to be checked against relevant data. AI can support the analytical process, but business decisions still require human judgment.
Developing AI Skills for Business Needs
In light of these developments, companies need to consider how they can develop AI skills in a more focused way.
AI training that is relevant to business needs goes beyond introducing the technology. Learning should also connect AI use with practical activities, such as information analysis, understanding market conditions, and strategy development.
One approach is AI for Sales & Market Intelligence, a two-day training program from Koding Akademi focused on applying AI to support market research, competitor analysis, sales data analysis, and business strategy.
The program is designed to help participants understand how AI can serve as a supporting tool for processing information and making more focused business decisions.
With this approach, AI learning goes beyond the ability to use tools and focuses on applying them to everyday work.
Frequently Asked Questions (FAQ)
1. Are Many Companies in Jakarta Already Using AI?
Several companies headquartered in Jakarta have implemented AI for business purposes. However, the information discussed here does not include representative data specifically for DKI Jakarta. As a nationwide reference, AWS reported that 40% of Indonesian businesses had adopted AI in 2026.
2. Why Do Companies Still Need AI Training?
Using AI is not the same as being able to implement it effectively. AWS research in 2026 indicates that 56% of surveyed organizations still faced barriers related to AI and digital skills. Training can help employees understand how to use AI in ways that match their job requirements.
3. What Are the Benefits of AI for Sales and Marketing?
AI can help sales and marketing teams conduct market research, analyze competitors, understand sales patterns, and develop business strategies. However, analytical outputs still need to be validated so that decisions are based on relevant information.
Put AI to Work in Your Business Strategy
AI developments have created opportunities for companies to work more efficiently and understand their businesses through data. However, widespread use does not necessarily mean the technology is being used to its full potential.
Companies need the right skills so that AI can support market analysis, sales strategy, and decision-making, as well as simple everyday tasks.
Through the AI for Sales & Market Intelligence program, we at Koding Akademi invite companies and professional teams to develop their understanding and skills in applying AI to business needs.
Want to understand how AI can support your sales and marketing team's work? Learn with us at Koding Akademi and find out more about our corporate AI training program at www.kodingakademi.id.
