It’s getting more and more clear that businesses of all sizes and in all sectors can benefit from genetic AI. From code generation and content creation to data analysis and chatbots, the possibilities are vast — and the rewards abundant.
McKinsey estimates that genetic artificial intelligence will add $2.6 trillion to $4.4 trillion annually in many industries. This is just one reason why over 80% of businesses will be working with productive AI models, APIs or applications by 2026. Businesses that act now to reap the benefits will thrive. those that don’t will not remain competitive. However, simply adopting genetic AI does not guarantee success.
The right implementation strategy is required. Today’s business leaders must prepare for a future of human and machine management, with artificial intelligence embedded in every part of their business. A long-term strategy is needed to capitalize on the immediate benefits of genetic AI while mitigating potential future risks.
Businesses that don’t address AI-building concerns from day one risk consequences such as system failure, copyright exposure, privacy violations, and societal harms such as reinforcing biases. However, only 17% of businesses they face genetic risks of artificial intelligence, which leaves them vulnerable.
Making good choices now will allow leaders to future-proof their business and reap the benefits of AI while boosting the bottom line.
Businesses must also ensure they are prepared for the upcoming regulations. President Biden signed an executive order to create AI safeguards, the UK hosted the world’s first AI security summit, and the EU unveiled its own legislation. Governments around the world are addressing the risks. C-suite leaders need to be, too—and that means the AI systems being built must comply with current and future regulatory requirements.
So how do leaders balance the risks and benefits of genetic AI?
Enterprises that leverage three principles are poised to succeed: human-first decision-making, strong governance in large language model (LLM) content, and a universal connected AI approach. Making good choices now will allow leaders to future-proof their business and reap the benefits of AI while boosting the bottom line.
