The Great Paradigm Shift
- Gordon McLean
- Jun 9
- 5 min read

AI + Business: Developing a Strategy for Business Success
Artificial intelligence (AI) has steadily been ascending toward a technological crescendo for decades. Its impact promises to be immense, touching every facet of our lives. But what impact will AI have on business? Who will the winners and losers be? And should I be worried?
What is AI?
IBM defines AI as “technology that enables computers and machines to simulate human learning, comprehension, problem-solving, decision making, creativity and autonomy.”
AI is rooted in the imagination and innovation of the human condition—or simply, what it is to be human. The Second Industrial Revolution saw the “rise of machines,” shaped by mass production and industrialization and supported by a rapid rise in scientific discovery. This period forever changed human relationships with each other, the things we have, and the planet we inhabit.
The 1927 film Metropolis was poignant as it explored human relationships between classes shaped by “the machine” or industrialization. This early film provides a fascinating perspective into the imagination and psyche that existed toward machines and their role and place in society at that time. Similar to the consensus of AI today, Metropolis showcased the perceptions, excitement and fears of the unknown.
From Solution to Problem Solver
The 1950s saw an early evolution of machines. While machines continued to prove invaluable, making significant improvements in our productivity and efficiency in businesses and homes, we still longed for more.
First coined in 1959 by Arthur Samuel, an American computer scientist who worked for IBM, “machine learning” (ML) was a reference to algorithms that enabled computers to learn and improve their performance over time without being explicitly programmed for every task. For this Arthur Samuel initiated what is called alpha-beta pruning. His design included a scoring function using the positions of the pieces on a chessboard. The scoring function attempted to measure the chances of each side winning. The program chooses its next move using a minimax strategy, which eventually evolved into the minimax algorithm.
Is History an Accurate Predictor of the Future?
Like the Second Industrial Revolution, AI promises to be a great paradigm shift for society. Not surprisingly, producing similar thoughts and feelings to that technology that almost mirror those of 1927. The “rise of machines” promised:
• Increased Production and Efficiency
• Economic Growth and Job Creation
• Technological Innovation
• Improved Standards of Living
• Urbanization and Infrastructure Development
• A Shift in Social Structures and Labor Systems
• Globalization and Trade Expansion
It delivered a groundwork for modern economic systems, technological innovation, and a continuous cycle of industrial and digital advancements that has significantly helped society. As we sit on the precipice of the next great technological revolution, the future as shaped by AI isn’t fully clear, but predicting the future never has been.
Where is AI Going?
While predicting the future has never been clear, change is inevitable. The winners and losers in business can usually be predicted by those who prepare and start embracing change sooner and those who are more agile in responding to change.
Truthfully, we’re still in the infancy of AI, even though anyone who has used a smartphone, a search engine, or made an e-payment has used one. The future is clear; change is happening and is going to impact every aspect of business. The bigger question for business leaders is whether they are planning on being in front or playing a reactionary role to change.
Categorization
AI (Artificial Intelligence) can be categorized in various ways, but broadly, there are three main types of AI based on their capabilities and development stages:
Narrow AI (Weak AI)—designed to perform a specific task or a set of tasks. It operates under a limited set of constraints and focuses on solving a particular problem
General AI (Strong AI)— refers to machines that have the ability to understand, learn, and apply knowledge across a wide range of tasks at a level comparable to human intelligence.
Super AI (Superintelligent AI)— a hypothetical form of AI that surpasses human intelligence in all aspects, including creativity, problem-solving, and emotional understanding.
AI is expected to benefit businesses across all sectors, offering numerous advantages that can significantly enhance operational efficiency, decision-making, customer experience, and innovation.
7 Keyways AI is Good for Business
1. Enhanced Efficiency and Automation
Process Automation: AI can automate repetitive and time-consuming tasks, reducing human error and freeing up employees to focus on more strategic activities.
Predictive Maintenance: In manufacturing and other industries, AI can predict equipment failures and schedule maintenance, reducing downtime and maintenance costs.
2. Improved Decision-Making
Data Analysis: AI systems can analyze vast amounts of data quickly, providing actionable insights that support better decision-making.
Forecasting: AI enhances forecasting accuracy by identifying patterns and trends in data, helping businesses anticipate market changes and adjust strategies accordingly.
3. Personalized Customer Experience
Customer Insights: AI can analyze customer behavior and preferences to deliver personalized experiences, improving customer satisfaction and loyalty.
Chatbots and Virtual Assistants: AI-powered chatbots provide 24/7 customer support, handling inquiries efficiently and improving service quality.
4. Innovation and Competitive Advantage
Product and Service Innovation: AI can drive innovation by enabling new business models, products, and services that were not possible before.
Competitive Analysis: AI helps businesses stay ahead of competitors by analyzing market trends and competitor activities in real-time.
5. Cost Savings
Operational Cost Reduction: By automating tasks and optimizing processes, AI helps reduce labor costs and operational expenses.
Resource Optimization: AI helps optimize resource allocation, ensuring that resources are used more efficiently.
6. Enhanced Security and Fraud Detection
Fraud Detection: AI can identify unusual patterns and detect fraudulent activities in real-time, enhancing security.
Cybersecurity: AI enhances cybersecurity by identifying and responding to threats more quickly and accurately.
7. Scalability and Flexibility
Scalable Solutions: AI solutions can scale with business growth, allowing companies to handle increased workloads without proportional increases in costs.
Adaptability: AI systems can adapt to changing business needs and market conditions, providing flexibility in operations.
It's Always A Balancing Act
Challenging these benefits are the cost of implementation, data privacy and security concerns and the skill gap that exists in developing, implementing, and managing AI technologies. Like all innovation and new technologies, the industry and users of AI will adapt, evolve and change, fixing the gaps to ensure the benefits outweigh the negatives.
Integrating AI into business strategy is no longer a futuristic concept but a present-day necessity for achieving and maintaining competitiveness. As with any new technology, advantages exist for those who seek them out.
As AI continues to evolve, businesses that embrace this technology will be better equipped to navigate the complexities of the modern market, drive innovation, and deliver superior value to their customers. By leveraging AI’s capabilities in data analysis, process automation, and customer insights, companies can position themselves for long-term success. The key is to start now—exploring AI's potential, developing a clear implementation strategy, and fostering a culture of continuous learning and adaptation. In doing so, businesses can unlock new opportunities and ensure their relevance in a rapidly transforming digital landscape.
—Let’s work together to unlock your potential.
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