Wednesday, February 14, 2024

Robot writes blogpost, does a pretty good job

So today I asked ChatGPT: "How will generative AI help entrepreneurs manage their businesses? Please go into detail with examples, and provide sources for your examples."

Its answers look pretty useful. How could some of these ideas impact your business?

ChatGPT reported back:

Generative AI can provide entrepreneurs with valuable tools and capabilities to enhance various aspects of business management. Here are several ways in which generative AI can be beneficial for entrepreneurs, along with examples:

Data Analysis and Decision Support:

Example: Generative AI algorithms can analyze large datasets to identify patterns and trends, providing entrepreneurs with insights to make data-driven decisions. For instance, machine learning algorithms can analyze customer behavior data to predict future trends, helping entrepreneurs tailor their strategies.

Personalized Marketing Campaigns:

Example: AI-powered tools can generate personalized content and recommendations for marketing campaigns. For instance, ChatGPT, a generative AI model, can be used to create personalized email content, social media posts, or product recommendations based on customer preferences.

Chatbots for Customer Support:

Example: Generative AI-driven chatbots, like those built on models such as GPT-3, can handle customer inquiries, provide information, and even assist in the sales process. These chatbots can improve customer service efficiency by handling routine queries, leaving entrepreneurs and their teams with more time for complex tasks.

Automated Business Processes:

Example: Robotic Process Automation (RPA) powered by generative AI can automate repetitive tasks such as data entry, invoicing, and inventory management. This automation streamlines operations, reduces errors, and increases overall efficiency.

Market Research and Competitive Analysis:

Example: Generative AI tools can analyze market trends, customer reviews, and competitor data to provide entrepreneurs with comprehensive market research. This information can inform product development, marketing strategies, and positioning in the market.

Natural Language Processing (NLP) for Communication:

Example: NLP capabilities in AI can improve communication with customers and employees. For instance, AI-driven virtual assistants can handle inquiries, schedule appointments, and provide information, freeing up entrepreneurs' time for strategic tasks.

Predictive Analytics for Financial Management:

Example: Generative AI models can predict future financial trends based on historical data, helping entrepreneurs make informed decisions about budgeting, cash flow management, and investment strategies.

Supply Chain Optimization:

Example: AI can optimize supply chain management by predicting demand, identifying potential disruptions, and recommending inventory levels. This helps entrepreneurs streamline their supply chain processes and reduce costs.

Human Resources and Talent Acquisition:

Example: AI-powered tools can assist in the recruitment process by analyzing resumes, conducting initial screenings, and even predicting candidate success based on historical hiring data. This accelerates the hiring process and improves the quality of talent acquisition.

Content Generation for Marketing:

Example: AI models like GPT-3 can be utilized to generate creative and engaging marketing content, including blog posts, social media updates, and advertising copy. This can save entrepreneurs time and resources in content creation.

It's important to note that while generative AI offers these benefits, ethical considerations, data privacy, and responsible use are crucial aspects that entrepreneurs should prioritize. Additionally, staying informed about the latest developments in AI and understanding how to integrate these technologies effectively into business operations is essential.


Brown, T. B., Mann, B., Ryder, N., Subbiah, M., Kaplan, J., Dhariwal, P., ... & Agarwal, S. (2020). Language models are few-shot learners. arXiv preprint arXiv:2005.14165.


RPA in Business:

AI in Marketing:

Sunday, January 28, 2024

How startups drive job growth and productivity

Interesting new story on the importance of entrepreneurs and startups in the Harvard Business Review

Authors Kenan Fikri and Daniel Newman, researchers at the Economic Innovation Group, start by noting the strength and resilience of entrepreneurs: “While some data sources on entrepreneurship operate on a lag, so far it appears that the entrepreneurship surge is real and likely to lead to greater job creation and productivity in the U.S. over the long run.” 

Startup entrepreneurs don't get much love nowadays, but as the authors note, startups are important because they drive both employment gains and productivity growth. The news is good: in October 2023, three and a half years after the pandemic began, Americans were filing 59% more applications to start new businesses than they were before the pandemic. And that, as the authors note, occurred despite “recession fears, labor and supply-chain constraints, the highest inflation rates in a generation, and rapid interest rate hikes.” 

The problem: the 2010s was a good decade for a few tech giants, but not for startups. “Every year in the decade running up to the pandemic, the U.S. economy was missing around 100,000 new firms and the approximately half million new jobs that would have been associated with them each year — a partial but significant explanation for the grindingly slow pace of recovery from the Great Recession.” 

The authors discuss lots of economic reasons for the current startup surge (including higher household incomes during COVID, lockdown-related innovation, and the willingness of many working Americans to make a job change during such a trying period). But I think they missed an important reason. 

The more society changes, the more entrepreneurs come to the fore, meeting new needs and serving new markets. Advancing technologies in multiple fields certainly create new opportunities, from AI-fuelled production houses to singer-songwriters on TikTok. But as lifestyles evolve and change – with a big push from Covid’s impact – entrepreneurs at the forefront of personal, cultural, financial and lifestyle changes are emboldened to start new businesses and serve these new markets. And new technology is continually simplifying and empowering that process. 

In other words, a confident, pluralistic society advancing on all fronts is a startup-generating machine. 

The authors offer a few prescriptions on how governments can promote new business growth. Don't mess with success, they say: “Don’t make it harder to start a business than it already is.” They also support proposals for helping people save more for retirement (“de-risking entrepreneurship in the process”), and curtailing the use of non-compete contracts that block aspiring entrepreneurs from starting businesses that compete with their current employers. 

For non-Americans, the problem is that the surge the authors identified can't be found in most other countries (see chart). They assess Canada’s post-covid startup gains at 10% -- less than a third of the U.S.’s 34%. And way behind Belgium (up 25%), France (23%) and even the U.K. (16%). 

The federal government hasn’t done much for Canadian entrepreneurs in decades. Perhaps it’s time for them to revisit the best job-creating machine we have. Reforming HST (which turned micro-businesses into involuntary tax collectors) would be a good place to start.