Small Business - Southwest Daily News

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Jose Daniel Duarte Camacho Says the Next Phase of Artificial Intelligence Will Be Defined by Business Value, Trust and Human Expertise

Artificial intelligence has reached a decisive turning point, but the companies that benefit most will be those that connect the technology to measurable business objectives, trusted data and workforce development, according to entrepreneur and business strategist Jose Daniel Duarte Camacho.


The Stanford Institute for Human-Centered AI's 2026 AI Index Report found that generative AI reached approximately 53% population-level adoption within three years—faster than the early adoption of the personal computer or the internet. The report also found that global corporate investment in AI more than doubled in 2025, with private investment increasing by 127.5%.


Despite that momentum, Duarte Camacho says access to increasingly powerful AI tools does not automatically produce better business results.


“Artificial intelligence is moving from a period of experimentation into an era of accountability,” said Jose Daniel Duarte Camacho. “Companies will no longer be evaluated by how many AI tools they have adopted, but by whether those tools improve decisions, strengthen customer relationships, increase productivity and create measurable value without compromising trust.”


Businesses Face Pressure to Turn AI Investment Into Results


Organizations are integrating AI into customer service, marketing, financial analysis, fraud detection, demand forecasting and operational planning. However, many remain in the early stages of scaling these applications across their businesses.


Duarte Camacho, whose experience spans entrepreneurship, e-commerce, FinTech and business agility, says companies frequently begin with the technology rather than the business problem. This can lead to disconnected pilot programs, duplicated expenses and results that are difficult to measure.


He recommends that business leaders first identify a specific operational challenge, establish a performance baseline and determine how success will be measured. AI initiatives should then be evaluated against defined outcomes such as faster response times, lower operating costs, improved forecasting, increased conversion or higher customer satisfaction.


AI Is Becoming a Leadership and Workforce Priority


The World Economic Forum's Future of Jobs Report 2025 found that 86% of surveyed employers expect AI and information-processing technologies to transform their businesses by 2030. In response, 77% plan to invest in upskilling their employees.


Duarte Camacho believes this emphasis on skills is essential. Organizations cannot scale AI successfully if employees do not understand how to use its output, recognize its limitations, or determine when human review is necessary.


“AI should expand human capability, not eliminate human accountability,” Duarte Camacho said. “The strongest organizations will combine the speed of intelligent systems with the judgment, creativity and contextual understanding of experienced people.”


This approach requires collaboration among executive leadership, technology teams, legal and compliance functions, human resources, and the employees who understand everyday operational challenges.


Five Priorities for Responsible AI Implementation


Duarte Camacho recommends that organizations concentrate on five priorities:

Define the business problem: Begin with a measurable operational or customer need rather than adopting AI because it is popular.



Strengthen data quality: Review the accuracy, relevance, security and ownership of the information used by AI systems.



Maintain human oversight: Establish clear points at which employees must verify, approve or challenge AI-generated recommendations.



Measure performance: Track productivity, costs, accuracy, customer outcomes and risks before and after implementation.



Invest in workforce skills: Train employees to use AI responsibly while strengthening critical thinking, communication and industry expertise.







Trust Will Become a Competitive Advantage


AI adoption also introduces concerns involving privacy, cybersecurity, bias, intellectual property and inaccurate output. Duarte Camacho says companies must address these risks as part of implementation—not after a system has already been deployed.


Customers and employees should understand when AI is being used in consequential interactions. Organizations should also document how systems are monitored, how sensitive information is protected, and who remains accountable for final decisions.


According to Duarte Camacho, transparency will become increasingly important as AI is incorporated into services that affect customers, employees and business partners.


“The next competitive advantage will not come from AI alone,” Duarte Camacho added. “It will come from using AI in a way that people can understand, trust and connect to better outcomes.”


As investment and adoption continue to accelerate, Duarte Camacho believes 2026 will mark a shift from AI enthusiasm toward operational discipline. Businesses that align technology, governance, workforce development and performance measurement will be better positioned to turn AI into sustainable value.


About Jose Duarte Camacho


JD Duarte is originally from Heredia, Costa Rica. He has been an entrepreneur and business owner for more than 20 years and divides his time between his existing operations and researching new possibilities in which to invest. When he's not dedicating time to his businesses, He spends time with his supporting wife and two children.

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