AI Is Now Writing Business Plans—And They're Better Than Human Ones

AI isn't just for trading and logistics anymore—it’s making high-level business decisions. New research shows AI can craft better business plans and predict startup success, potentially reshaping the corporate landscape and giving companies an edge in strategic planning.

​​​​​​​Research: Artificial Intelligence and Strategic Decision-Making: Evidence from Entrepreneurs and Investors. ​​​​​​​Image Credit: Shutterstock AI

From Wall Street trading to warehouse logistics, artificial intelligence has proved it can outperform humans. In new research from Texas McCombs, AI takes on humans at an even higher-level business function: strategic decision-making.

Harsh Ketkar, an assistant professor of management, finds AI can enhance the speed, quality, and scale of strategic analysis. In matchups against human creators and evaluators of business plans—conducted with Felipe Csaszar from the University of Michigan and Hyunjin Kim from INSEAD—AI equaled or bested its challengers.

Besides writing plans, he finds AI can critique existing strategies and suggest others.

"AI can be the sparring partner that can come up with an alternative set of ideas that can't be easily envisioned," says Ketkar. "It can help executive teams to break out of that blind spot that can sometimes happen."

Using AI for strategic decisions, he says, could affect competition between companies, survival or failure of startups, and companies' long-term growth and success.

Better Business Plans

The authors drew their inspiration from financial trading. While humans once dominated this activity, algorithms now account for 78% of trading decisions.

Strategic decision-making, by contrast, involves more nuanced kinds of analysis and judgment - the kinds that experts acquire through years of study and experience. How capable were machines of doing it well?

Ketkar and his colleagues ran two experiments. For the first, they partnered with a European startup accelerator. The researchers selected five business plans it had accepted and five it had rejected during 2021 and 2022.

For each plan, they used the program GPT 3.5 to create an AI-generated double. For a prompt, they used language from the entrepreneur's original plan, which described the problem the plan was addressing. They then asked GPT to create the rest of the business plan.

They showed the plans to 250 evaluators, with an average of five years of investing experience and seven years of managerial experience. Each evaluator reviewed a mix of 10 entrepreneur-generated and AI-generated plans, but never the same plan, and it's double.

The evaluators rated each plan's key attributes - such as innovation and value proposition, viability and writing quality, and potential to invest in the idea - on a 1 to 10 scale. They also rendered overall judgments: whether they would accept the startup into the accelerator, invest in it, or request an introduction to its founder.

Collectively, the evaluators rated GPT-written plans higher across all criteria. They were:

• 5 percentage points more likely to accept such businesses into the accelerator, compared with plans crafted by live entrepreneurs.
• 3 percentage points more likely to want to meet the founder.
• 3 percentage points more likely to invest in the startups.

AI picks winners

The second experiment reversed the first. Instead of writing business plans, AI assessed them.

Ketkar and his fellow researchers partnered with a startup competition at an elite business school. They selected 138 all-text business plans submitted in the competition's previous 10 cycles. Each plan had already been evaluated by three to five competition judges: a mixture of venture capitalists and investors, many with backgrounds as entrepreneurs.

The researchers had GPT evaluate the plans using prompts that mirrored instructions given to judges. To simulate real-world judging, each plan went through three GPT assessments.

The GPT evaluations correlated strongly with the average scores from experienced investors - more strongly, in fact, than the human scores correlated with one another.

"We were quite surprised with the correlation we got," Ketkar says. "AI was quite accurate in picking the winners, and it was also better at predicting which plan was ultimately going to be successful."

The results, he says, suggest AI could stand in for humans in evaluating business plans.

Expanding access to strategic planning

The research could have implications across the entrepreneurial landscape, Ketkar says.

• Venture capitalists can use AI to evaluate business proposals more quickly, which could help them fund startups more quickly.
• Accelerators could use it to evaluate applications.
• Entrepreneurs could employ it to create and test strategic plans. It could even improve their plans by modeling more complex scenarios and suggesting outside-the-box approaches.
• Business consultants aren't necessarily out of a job, but they may need to sharpen their skills to add value to AI results.

"Everyone now has access to high-level strategic decision-making," says Ketkar. "It's McKinsey-in-a-box. It democratizes it."

He predicts that over time, companies that incorporate AI into their strategic planning may gain a competitive edge and enhance performance. He compares this to the advent of algorithmic trading on Wall Street.

"This is going to lead to new strategy frameworks being developed," he says. "It will change strategy decision-making, not just in the way that we do it, but in the way that we perceive it."

"Artificial Intelligence and Strategic Decision-Making: Evidence from Entrepreneurs and Investors" is published in Strategy Science.