Deutsche Bank Economist Maintains Concerns Over U.S. Recession Amidst AI Optimism
In a financial landscape where optimism about a “soft landing” persists, Deutsche Bank’s chief economist, David Folkerts-Landau, and head of global economics, Jim Reid, stand out with their continued concerns over the potential for a U.S. recession. Despite recent positive economic indicators, the duo maintains that a “mild recession” is materializing, fueled by years of inflation and rising interest rates. Moreover, as the economy grapples with these challenges, the economists look to artificial intelligence (AI) as a beacon of hope for a mid-2024 turnaround.
The Road to Recession: A ‘Policy-Led Boom-Bust Cycle’
The article begins by tracing the trajectory of Deutsche Bank’s economic narrative, which, for the past 2-3 years, has envisioned a classic “policy-led boom-bust cycle” culminating in a U.S. recession by the end of 2023. Folkerts-Landau and Reid assert that their narrative remains relevant, even as some Wall Street economists grow increasingly optimistic about a “soft landing.”
Despite positive economic data, including robust third-quarter GDP numbers, the economists argue that historical evidence indicates a “mild recession” is on the horizon, expected to occur by early 2024 at the latest.
Signs of Economic Softening: Unemployment and Credit Card Delinquencies
Highlighting signs of economic softening, the article points to the current unemployment rate, which, while still relatively low at 3.9%, is the highest since January 2022. Additionally, credit card delinquencies have reached 12-year highs, signaling stress in certain sectors of the economy that could potentially spread in 2024, particularly with interest rates at their current levels.
Mid-2024 Turnaround and AI’s Role in Economic Recovery
While predicting a mid-year turnaround, the Deutsche Bank economists believe that a U.S. recession and the fading of inflation back to the 2% target will prompt Fed officials to cut interest rates. This, they argue, will help the economy gradually recover. In addition to these conventional economic factors, Folkerts-Landau and Reid express optimism about the transformative impact of artificial intelligence.
The economists anticipate that AI, despite geopolitical tensions and potential challenges, will rapidly increase productivity, providing a boost to the economy in the medium term. They acknowledge the difficulty in quantifying the scale of AI’s impact but expect a “material bump,” aligning with data from McKinsey suggesting significant annual global productivity gains.
Conclusion: Navigating Economic Challenges with an Eye on AI’s Promise
As Deutsche Bank economists maintain their concerns about a U.S. recession, their optimism about the role of artificial intelligence in driving economic recovery adds an intriguing dimension to the economic outlook. The article concludes by emphasizing AI as an “enticing prospect” for the global economy, offering a potential silver lining as the world grapples with economic uncertainties in 2024.